Survey on digital twins for Internet of Vehicles: Fundamentals, challenges, and opportunities
Open accessAbstract
As autonomous vehicles and the other supporting infrastructure (e.g., smart cities and intelligent transportation systems) become more commonplace, the Internet of Vehicles (IoV) is getting increasingly prevalent. There have been attempts to utilize Digital Twins (DTs) to facilitate the design, evaluation, and deployment of IoV-based systems, for example by supporting high-fidelity modeling, real-time monitoring, and advanced predictive capabilities. However, the literature review undertaken in this paper suggests that integrating DTs into IoV-based system design and deployment remains an understudied topic. In addition, this paper explains how DTs can benefit IoV system designers and implementers, as well as describes several challenges and opportunities for future researchers.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Despite several surveys on IoV security, few surveys have covered ML-based solutions in security or trust schemes in this environment.
“Despite the fact that there are several surveys on IoV security [12,65,67,69,71,72,73,74,75], few surveys have covered ML-based solutions in security or in trust schemes in this environment.”
From Security and Trust Management in the Internet of Vehicles (IoV): Challenges and Machine Learning Solutions (2024) · cites this paper as [71]
[71] investigated integration of Digital Twins into IoV focusing on system design without mentioning machine learning or trust.
“In [71], the authors investigated the potential integration of Digital Twins (DTs) into IoV, focusing on improving the system design without mentioning machine learning or trust.”
From Security and Trust Management in the Internet of Vehicles (IoV): Challenges and Machine Learning Solutions (2024) · cites this paper as [71]
Cites
The Internet of Things: A survey
Atzori, L., Iera, A., & Morabito, G. (2010) · Computer Networks · doi:10.1016/j.comnet.2010.05.010 · Cited by 15,613 · see citing works
Internet of Things in industries: A survey
Xu, L. D., He, W., & Li, S. (2014) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2014.2300753 · Cited by 5,172 · see citing works
An Overview of Blockchain Technology: Architecture, Consensus, and Future Trends
Zheng, Z., Xie, S., Dai, H., Chen, X., & Wang, H. (2017) · 2017 IEEE International Congress on Big Data (BigData Congress) · doi:10.1109/bigdatacongress.2017.85 · Cited by 4,515 · see citing works
Digital Twin in Industry: State-of-the-Art
Tao, F., Zhang, H., Liu, A., & Nee, A. Y. C. (2019) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2018.2873186 · Cited by 4,391 · see citing works
Digital twin-driven product design, manufacturing and service with big data
Tao, F., Cheng, J., Qi, Q., Zhang, M., Zhang, H., & Sui, F. (2018) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-017-0233-1 · Cited by 2,920 · see citing works
The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles
Glaessgen, E., & Stargel, D. (2012) · 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference<BR>20th AIAA/ASME/AHS Adaptive Structures Conference<BR>14th AIAA · doi:10.2514/6.2012-1818 · Cited by 2,404 · see citing works
Digital twin and big data towards smart manufacturing and Industry 4.0: 360 degree comparison
Qi, Q., & Tao, F. (2018) · IEEE Access · doi:10.1109/access.2018.2793265 · Cited by 1,716 · see citing works
A Review of the Roles of Digital Twin in CPS-based Production Systems
Negri, E., Fumagalli, L., & Macchi, M. (2017) · Procedia Manufacturing · doi:10.1016/j.promfg.2017.07.198 · Cited by 1,669 · see citing works
Tao, F., Qi, Q., Wang, L., & Nee, A. Y. C. (2019) · Engineering · doi:10.1016/j.eng.2019.01.014 · Cited by 1,589 · see citing works
About The Importance of Autonomy and Digital Twins for the Future of Manufacturing
Rosen, R., von Wichert, G., Lo, G., & Bettenhausen, K. D. (2015) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2015.06.141 · Cited by 1,474 · see citing works
Digital twin shop-floor: a new shop-floor paradigm towards smart manufacturing
Tao, F., & Zhang, M. (2017) · IEEE Access · doi:10.1109/access.2017.2756069 · Cited by 1,397 · see citing works
Connected Vehicles: Solutions and Challenges
Lu, N., Cheng, N., Zhang, N., Shen, X., & Mark, J. W. (2014) · IEEE Internet of Things Journal · doi:10.1109/jiot.2014.2327587 · Cited by 1,262 · see citing works
Reengineering aircraft structural life prediction using a digital twin
Tuegel, E. J., Ingraffea, A. R., Eason, T. G., & Spottswood, S. M. (2011) · International Journal of Aerospace Engineering · doi:10.1155/2011/154798 · Cited by 1,119 · see citing works
Digital twin driven prognostics and health management for complex equipment
Tao, F., Zhang, M., Liu, Y., & Nee, A. Y. C. (2018) · CIRP Annals · doi:10.1016/j.cirp.2018.04.055 · Cited by 1,000 · see citing works
Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models
Minerva, R., Lee, G. M., & Crespi, N. (2020) · Proceedings of the IEEE · doi:10.1109/jproc.2020.2998530 · Cited by 812 · see citing works
Zhao, J., Li, Q., Gong, Y., & Zhang, K. (2019) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2019.2917890 · Cited by 806 · see citing works
Interworking of DSRC and Cellular Network Technologies for V2X Communications: A Survey
Abboud, K., Omar, H. A., & Zhuang, W. (2016) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2016.2591558 · Cited by 785 · see citing works
Kaiwartya, O., Abdullah, A. H., Cao, Y., Altameem, A., Prasad, M., Lin, C., & Liu, X. (2016) · IEEE Access · doi:10.1109/access.2016.2603219 · Cited by 713 · see citing works
Lim, K. Y. H., Zheng, P., & Chen, C.-H. (2020) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-019-01512-w · Cited by 700 · see citing works
An overview of Internet of Vehicles
Yang, F., Wang, S., Li, J., Liu, Z., & Sun, Q. (2014) · China Communications · doi:10.1109/cc.2014.6969789 · Cited by 665 · see citing works
Evolutionary V2X Technologies Toward the Internet of Vehicles: Challenges and Opportunities
Zhou, H., Xu, W., Chen, J., & Wang, W. (2020) · Proceedings of the IEEE · doi:10.1109/jproc.2019.2961937 · Cited by 662 · see citing works
Rathore, M. M., Shah, S. A., Shukla, D., Bentafat, E., & Bakiras, S. (2021) · IEEE Access · doi:10.1109/access.2021.3060863 · Cited by 616 · see citing works
Internet of vehicles in big data era
Xu, W., Zhou, H., Cheng, N., Lyu, F., Shi, W., Chen, J., & Shen, X. (2017) · IEEE/CAA Journal of Automatica Sinica · doi:10.1109/jas.2017.7510736 · Cited by 569 · see citing works
Mobile Edge Intelligence and Computing for the Internet of Vehicles
Zhang, J., & Letaief, K. B. (2020) · Proceedings of the IEEE · doi:10.1109/jproc.2019.2947490 · Cited by 537 · see citing works
Networking and Communications in Autonomous Driving: A Survey
Wang, J., Liu, J., & Kato, N. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2888904 · Cited by 535 · see citing works
Developing a Digital Twin at Building and City Levels: Case Study of West Cambridge Campus
Lu, Q., Parlikad, A. K., Woodall, P., Ranasinghe, G. D., Xie, X., Liang, Z., Konstantinou, E., Heaton, J., & Schooling, J. M. (2020) · Journal of Management in Engineering · doi:10.1061/(asce)me.1943-5479.0000763 · Cited by 532 · see citing works
A hybrid predictive maintenance approach for CNC machine tool driven by Digital Twin
Luo, W., Hu, T., Ye, Y., Zhang, C., & Wei, Y. (2020) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2020.101974 · Cited by 525 · see citing works
A survey of inter-vehicle communication protocols and their applications
Willke, T. L., Tientrakool, P., & Maxemchuk, N. F. (2009) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2009.090202 · Cited by 478 · see citing works
LTE-V: A TD-LTE-Based V2X Solution for Future Vehicular Network
Chen, S., Hu, J., Shi, Y., & Zhao, L. (2016) · IEEE Internet of Things Journal · doi:10.1109/jiot.2016.2611605 · Cited by 456 · see citing works
Ding, K., Chan, F. T. S., Zhang, X., Zhou, G., & Zhang, F. (2019) · International Journal of Production Research · doi:10.1080/00207543.2019.1566661 · Cited by 456 · see citing works
New IT Driven Service-Oriented Smart Manufacturing: Framework and Characteristics
Tao, F., & Qi, Q. (2017) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2017.2723764 · Cited by 434 · see citing works
Toward Social Internet of Vehicles: Concept, Architecture, and Applications
Alam, K. M., Saini, M. K., & Saddik, A. E. (2015) · IEEE Access · doi:10.1109/access.2015.2416657 · Cited by 408 · see citing works
Data Fusion and IoT for Smart Ubiquitous Environments: A Survey
Alam, F., Mehmood, R., Katib, I. A., Albogami, N., & Albeshri, A. A. (2017) · IEEE Access · doi:10.1109/access.2017.2697839 · Cited by 389 · see citing works
Blockchain-Enabled Security in Electric Vehicles Cloud and Edge Computing
Liu, H., Zhang, Y., & Yang, T. (2018) · IEEE Network · doi:10.1109/mnet.2018.1700344 · Cited by 381 · see citing works
The digital twin of an industrial production line within the industry 4.0 concept
Vachalek, J., Bartalsky, L., Rovny, O., Sismisova, D., Morhac, M., & Loksik, M. (2017) · 2017 21st International Conference on Process Control (PC) · doi:10.1109/pc.2017.7976223 · Cited by 339 · see citing works
Advances in Multi-Sensor Data Fusion: Algorithms and Applications
Jiang, D., Zhuang, D., Huang, Y., & Fu, J. (2009) · Sensors · doi:10.3390/s91007771 · Cited by 335 · see citing works
Intra-Vehicle Networks: A Review
Tuohy, S., Glavin, M., Eising, C., Jones, E., Trivedi, M. M., & Kilmartin, L. (2014) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2014.2320605 · Cited by 314 · see citing works
A Secure Authentication Protocol for Internet of Vehicles
Chen, C., Xiang, B., Liu, Y., & Wang, K.-H. (2019) · IEEE Access · doi:10.1109/access.2019.2891105 · Cited by 305 · see citing works
Emerging Technologies for 5G-IoV Networks: Applications, Trends and Opportunities
Duan, W., Gu, J., Wen, M., Zhang, G., Ji, Y., & Mumtaz, S. (2020) · IEEE Network · doi:10.1109/mnet.001.1900659 · Cited by 299 · see citing works
A Simulation-Based Architecture for Smart Cyber-Physical Systems
Gabor, T., Belzner, L., Kiermeier, M., Beck, M. T., & Neitz, A. (2016) · 2016 IEEE International Conference on Autonomic Computing (ICAC) · doi:10.1109/icac.2016.29 · Cited by 298 · see citing works
A survey on internet of vehicles: Applications, security issues & solutions
Sharma, S., & Kaushik, B. (2019) · Vehicular Communications · doi:10.1016/j.vehcom.2019.100182 · Cited by 277 · see citing works
Digital-Twin-Based Job Shop Scheduling Toward Smart Manufacturing
Fang, Y., Peng, C., Lou, P., Zhou, Z., Hu, J., & Yan, J. (2019) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2019.2938572 · Cited by 276 · see citing works
Laaki, H., Miché, Y., & Tammi, K. (2019) · IEEE Access · doi:10.1109/access.2019.2897018 · Cited by 273 · see citing works
Liu, Y., Wang, Y., & Chang, G. (2017) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2017.2657649 · Cited by 265 · see citing works
Human Digital Twin for Fitness Management
Barricelli, B. R., Casiraghi, E., Gliozzo, J., Petrini, A., & Valtolina, S. (2020) · IEEE Access · doi:10.1109/access.2020.2971576 · Cited by 259 · see citing works
The Airframe Digital Twin: Some Challenges to Realization
Tuegel, E. (2012) · 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference<BR>20th AIAA/ASME/AHS Adaptive Structures Conference<BR>14th AIAA · doi:10.2514/6.2012-1812 · Cited by 255 · see citing works
Wazid, M., Bagga, P., Das, A. K., Shetty, S. S., Rodrigues, J. J. P. C., & Park, Y. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2019.2923611 · Cited by 253 · see citing works
Big Data Meet Cyber-Physical Systems: A Panoramic Survey
Atat, R., Liu, L., Wu, J., Li, G., Ye, C., & Yang, Y. (2018) · IEEE Access · doi:10.1109/access.2018.2878681 · Cited by 247 · see citing works
Cognitive Internet of Vehicles
Chen, M., Tian, Y., Fortino, G., Zhang, J., & Humar, I. (2018) · Computer Communications · doi:10.1016/j.comcom.2018.02.006 · Cited by 239 · see citing works
Xu, X., Shen, B., Ding, S., Srivastava, G., Bilal, M., Khosravi, M. R., Menon, V. G., Jan, M. A., & Wang, M. (2020) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2020.3040180 · Cited by 236 · see citing works
Self-citationWeb-based digital twin modeling and remote control of cyber-physical production systems
Liu, C., Jiang, P., & Jiang, W. (2020) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2020.101956 · Cited by 223 · see citing works
Security attacks and solutions for vehicular ad hoc networks
Isaac, J. T., Zeadally, S., & Cámara, J. S. (2010) · IET Communications · doi:10.1049/iet-com.2009.0191 · Cited by 215 · see citing works
MES-integrated digital twin frameworks
Negri, E., Berardi, S., Fumagalli, L., & Macchi, M. (2020) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2020.05.007 · Cited by 213 · see citing works
Digital Twin and Internet of Things—Current Standards Landscape
Jacoby, M., & Usländer, T. (2020) · Applied Sciences · doi:10.3390/app10186519 · Cited by 205 · see citing works
Zhuang, C., Miao, T., Liu, J., & Xiong, H. (2020) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2020.102075 · Cited by 202 · see citing works
DT-II:Digital twin enhanced Industrial Internet reference framework towards smart manufacturing
Cheng, J., Zhang, H., Tao, F., & Juang, C. (2019) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2019.101881 · Cited by 194 · see citing works
Yang, H., Xie, X., & Kadoch, M. (2019) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2018.2890686 · Cited by 182 · see citing works
Digital Twins in Product Lifecycle for Sustainability in Manufacturing and Maintenance
Rojek, I., Mikołajewski, D., & Dostatni, E. (2020) · Applied Sciences · doi:10.3390/app11010031 · Cited by 166 · see citing works
Nie, L., Ning, Z., Wang, X., Hu, X., Cheng, J. S., & Li, Y. (2020) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2020.2990984 · Cited by 166 · see citing works
An open source approach to the design and implementation of Digital Twins for Smart Manufacturing
Damjanović, V., & Behrendt, W. (2019) · International Journal of Computer Integrated Manufacturing · doi:10.1080/0951192x.2019.1599436 · Cited by 165 · see citing works
Secure over-the-air software updates in connected vehicles: A survey
Halder, S., Ghosal, A., & Conti, M. (2020) · Computer Networks · doi:10.1016/j.comnet.2020.107343 · Cited by 158 · see citing works
How can smart technologies contribute to sustainable product lifecycle management?
Liu, Y., Zhang, Y., Ren, S., Yang, M., Wang, Y., & Huisingh, D. (2019) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2019.119423 · Cited by 153 · see citing works
Digital Twin Conceptual Model within the Context of Internet of Things
Al-Ali, A. R., Gupta, R., Batool, T., Landolsi, T., Aloul, F., & Nabulsi, A. A. (2020) · Future Internet · doi:10.3390/fi12100163 · Cited by 149 · see citing works
A 5G V2X Ecosystem Providing Internet of Vehicles
Storck, C. R., & Duarte-Figueiredo, F. (2019) · Sensors · doi:10.3390/s19030550 · Cited by 145 · see citing works
Ríos, J., Carlos, H. A. N. J., Manuel, O., & Mas, F. (2015) · Advances in transdisciplinary engineering · doi:10.3233/978-1-61499-544-9-657 · Cited by 142 · see citing works
Efficient computation offloading for Internet of Vehicles in edge computing-assisted 5G networks
Wan, S., Li, X., Xue, Y., Lin, W., & Xu, X. (2019) · The Journal of Supercomputing · doi:10.1007/s11227-019-03011-4 · Cited by 136 · see citing works
Self-citationDigital twin: current scenario and a case study on a manufacturing process
Roy, R. B., Mishra, D., Pal, S. K., Chakravarty, T., Panda, S., Chandra, M. G., Pal, A., Misra, P., Chakravarty, D., & Misra, S. (2020) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-020-05306-w · Cited by 128 · see citing works
Digital twin-enabled Graduation Intelligent Manufacturing System for fixed-position assembly islands
Guo, D., Zhong, R. Y., Lin, P., Lyu, Z., Rong, Y. K., & Huang, G. Q. (2019) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2019.101917 · Cited by 125 · see citing works
Minimizing the number of mobile chargers for large-scale wireless rechargeable sensor networks
Dai, H., Wu, X., Chen, G., Xu, L., & Lin, S. (2014) · Computer Communications · doi:10.1016/j.comcom.2014.03.001 · Cited by 123 · see citing works
Edge Content Caching with Deep Spatiotemporal Residual Network for IoV in Smart City
Xu, X., Fang, Z., Zhang, J., He, Q., Yu, D., Qi, L., & Dou, W. (2021) · ACM Transactions on Sensor Networks · doi:10.1145/3447032 · Cited by 115 · see citing works
Self-citationSecure Service Offloading for Internet of Vehicles in SDN-Enabled Mobile Edge Computing
Xu, X., Huang, Q., Zhu, H., Sharma, S. K., Zhang, X., Qi, L., & Bhuiyan, M. Z. A. (2020) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2020.3034197 · Cited by 104 · see citing works
Self-citationThe Emperor of Strong AI Has No Clothes: Limits to Artificial Intelligence
Braga, A., & Logan, R. (2017) · Information · doi:10.3390/info8040156 · Cited by 101 · see citing works
Toward Reliable and Scalable Internet of Vehicles: Performance Analysis and Resource Management
Ni, Y., Cai, L., He, J., Vinel, A. V., Li, Y., Mosavat-Jahromi, H., & Pan, J. (2019) · Proceedings of the IEEE · doi:10.1109/jproc.2019.2950349 · Cited by 100 · see citing works
Multi-objective computation offloading for Internet of Vehicles in cloud-edge computing
Xu, X., Gu, R., Dai, F., Qi, L., & Wan, S. (2019) · Wireless Networks · doi:10.1007/s11276-019-02127-y · Cited by 93 · see citing works
Self-citationXu, X., Fang, Z., Qi, L., Zhang, X., He, Q., & Zhou, X. (2021) · ACM Transactions on Multimedia Computing Communications and Applications · doi:10.1145/3401979 · Cited by 92 · see citing works
Self-citationZhang, M., Zuo, Y. N., & Tao, F. (2018) · IEEE International Conference on Networking, Sensing and Control (ICNSC) · doi:10.1109/icnsc.2018.8361272 · Cited by 89 · see citing works
Cognition Digital Twins for Personalized Information Systems of Smart Cities: Proof of Concept
Du, J., Zhu, Q., Shi, Y., Wang, Q., Lin, Y.-Z., & Zhao, D. (2020) · Journal of Management in Engineering · doi:10.1061/(asce)me.1943-5479.0000740 · Cited by 84 · see citing works
Quality of Energy Provisioning for Wireless Power Transfer
Dai, H., Chen, G., Wang, C., Wang, S., Wu, X., & Wu, F. (2014) · IEEE Transactions on Parallel and Distributed Systems · doi:10.1109/tpds.2014.2310484 · Cited by 80 · see citing works
AI-Powered Blockchain - A Decentralized Secure Multiparty Computation Protocol for IoV
Raja, G., Manaswini, Y., Vivekanandan, G. D., Sampath, H., Dev, K., & Bashir, A. K. (2020) · IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) · doi:10.1109/infocomwkshps50562.2020.9162866 · Cited by 76 · see citing works
Vehicle state estimation for INS/GPS aided by sensors fusion and SCKF-based algorithm
Song, R., & Fang, Y. (2020) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2020.107315 · Cited by 74 · see citing works
WSN-SLAP: Secure and Lightweight Mutual Authentication Protocol for Wireless Sensor Networks
Kwon, D., Yu, S., Lee, J., Son, S., & Park, Y. (2021) · Sensors · doi:10.3390/s21030936 · Cited by 72 · see citing works
Application of IoT-Aided Simulation to Manufacturing Systems in Cyber-Physical System
Tan, Y., Yang, W., Yoshida, K., & Takakuwa, S. (2019) · Machines · doi:10.3390/machines7010002 · Cited by 71 · see citing works
Tian, H., Xu, X., Lin, T.-Y., Cheng, Y., Qian, C., Ren, L., & Bilal, M. (2021) · World Wide Web · doi:10.1007/s11280-021-00939-7 · Cited by 70 · see citing works
Self-citationDelimitated Anti Jammer Scheme for Internet of Vehicle: Machine Learning Based Security Approach
Kumar, S., Singh, K., Kumar, S., Kaiwartya, O., Cao, Y., & Zhou, H. (2019) · IEEE Access · doi:10.1109/access.2019.2934632 · Cited by 68 · see citing works
Dynamic server placement in edge computing toward Internet of Vehicles
Shen, B., Xu, X., Qi, L., Zhang, X., & Srivastava, G. (2021) · Computer Communications · doi:10.1016/j.comcom.2021.07.021 · Cited by 67 · see citing works
Self-citationData, User and Power Allocations for Caching in Multi-Access Edge Computing
Xia, X., Chen, F., He, Q., Cui, G., Grundy, J., Abdelrazek, M., Xu, X., & Jin, H. (2021) · IEEE Transactions on Parallel and Distributed Systems · doi:10.1109/tpds.2021.3104241 · Cited by 63 · see citing works
Self-citationData dissemination for Internet of vehicle based on 5G communications: A survey
Benalia, E., Bitam, S., & Mellouk, A. (2020) · Transactions on Emerging Telecommunications Technologies · doi:10.1002/ett.3881 · Cited by 58 · see citing works
Operation Procedures of a Work-Center-Level Digital Twin for Sustainable and Smart Manufacturing
Park, K., Lee, D.-G., & Noh, S. (2020) · International Journal of Precision Engineering and Manufacturing - Green Technology · doi:10.1007/s40684-020-00227-1 · Cited by 52 · see citing works
A Low-Latency Object Detection Algorithm for the Edge Devices of IoV Systems
Dai, C., Liu, X., Chen, W., & Lai, C. (2020) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2020.3008265 · Cited by 52 · see citing works
Toward Secure Crowd Sensing in Vehicle-to-Everything Networks
Bian, K., Zhang, G., & Song, L. (2017) · IEEE Network · doi:10.1109/mnet.2017.1700098 · Cited by 49 · see citing works
Xia, X., Hashemi, E., Xiong, L., Khajepour, A., & Xu, N. (2021) · IEEE Internet of Things Journal · doi:10.1109/jiot.2021.3072354 · Cited by 44 · see citing works
Optimal Placement of Social Digital Twins in Edge IoT Networks
Chukhno, O., Chukhno, N., Araniti, G., Campolo, C., Iera, A., & Molinaro, A. (2020) · Sensors · doi:10.3390/s20216181 · Cited by 42 · see citing works
Blockchain-based asymmetric group key agreement protocol for internet of vehicles
Zhang, Q., Li, Y., Wang, R., Li, J., Gan, Y., Zhang, Y., & Yu, X. (2020) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2020.106713 · Cited by 33 · see citing works
Privacy-Preserving Authentication Using a Double Pseudonym for Internet of Vehicles
Cui, J., Xu, W., Zhong, H., Zhang, J., Xu, Y., & Liu, L. (2018) · Sensors · doi:10.3390/s18051453 · Cited by 26 · see citing works
Next generation wired intra-vehicle networks, a review
Tuohy, S., Glavin, M., Jones, E., Trivedi, M. M., & Kilmartin, L. (2013) · IEEE Intelligent Vehicles Symposium · doi:10.1109/ivs.2013.6629561 · Cited by 26 · see citing works
A Security System Using Deep Learning Approach for Internet of Vehicles (IoV)
Sharma, S., Ghanshala, K. K., & Mohan, S. (2018) · IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) · doi:10.1109/uemcon.2018.8796664 · Cited by 25 · see citing works
A Blockchain-based Conditional Privacy-Preserving Traffic Data Sharing in Cloud
Liu, J., Zhang, G., Sun, R. X., Du, X., & Guizani, M. (2020) · International Conference on Communications · doi:10.1109/icc40277.2020.9148864 · Cited by 24 · see citing works
Demo:Research on test method of autonomous driving based on digital twin
Ge, Y., Wang, Y., Yu, R., Han, Q., & Chen, Y. (2019) · IEEE Vehicular Networking Conference (VNC) · doi:10.1109/vnc48660.2019.9062813 · Cited by 22 · see citing works
Two novel semi-quantum-reflection protocols applied in connected vehicle systems with blockchain
Zhu, H., Wang, X., Chen, C., & Kumari, S. (2020) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2020.106714 · Cited by 20 · see citing works
Computational trust model for Internet of Vehicles
Bhargava, A., Verma, S., Chaurasia, B. K., & Tomar, G. S. (2017) · IEEE Conference on Information and Communication Technology (CICT) · doi:10.1109/infocomtech.2017.8340600 · Cited by 18 · see citing works
Software-Defined Green 5G System for Big Data
Mi, J., Wang, K., Li, P., Guo, S., & Sun, Y. (2018) · IEEE Communications Magazine · doi:10.1109/mcom.2017.1700048 · Cited by 18 · see citing works
A Pseudonym Certificate Management Scheme Based on Blockchain for Internet of Vehicles
Bao, S., Lei, A., Cruickshank, H. S., Sun, Z., Asuquo, P. M., & Hathal, W. (2019) · IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech) · doi:10.1109/dasc/picom/cbdcom/cyberscitech.2019.00021 · Cited by 15 · see citing works
Internet of Vehicles: The Framework and Key Technology
Li, J., Liu, Z., & Yang, F. (2014) · Beijing Youdian Xueyuan xuebao · doi:10.13190/j.jbupt.2014.06.020 · Cited by 13 · see citing works
Internet of Vehicles: The Framework and Key Technology
Jing-li, L. (2014) · Beijing Youdian Xueyuan xuebao · Cited by 5 · see citing works
Flagged first, then by citations
2 of the 108 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
A review of digital twins and their application in cybersecurity based on artificial intelligence
Homaei, M., Gutiérrez, Ó. M., Núñez, J. C. S., Ávila, M., & Lindo, A. C. (2024) · Artificial Intelligence Review · doi:10.1007/s10462-024-10805-3 · Cited by 172 · see citing works
Alalwany, E., & Mahgoub, I. (2024) · Sensors · doi:10.3390/s24020368 · Cited by 130 · see citing works
A Review of Digital Twin Technology for Electric and Autonomous Vehicles
Ali, W. A., Fanti, M. P., Roccotelli, M., & Ranieri, L. (2023) · Applied Sciences · doi:10.3390/app13105871 · Cited by 108 · see citing works
When Crowdsensing Meets Smart Cities: A Comprehensive Survey and New Perspectives
Wang, Z., Cao, Y., Jiang, K. Y., Zhou, H., Kang, J., Zhuang, Y., Tian, D., & Leung, V. C. M. (2024) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2024.3400121 · Cited by 78 · see citing works
A systematic survey of attack detection and prevention in Connected and Autonomous Vehicles
Limbasiya, T., Teng, K. Z., Chattopadhyay, S., & Zhou, J. (2022) · Vehicular Communications · doi:10.1016/j.vehcom.2022.100515 · Cited by 76 · see citing works
Digital Twin Models: Functions, Challenges, and Industry Applications
Rayhana, R., Bai, L., Xiao, G. G., Liao, M., & Liu, Z. (2024) · IEEE Journal of Radio Frequency Identification · doi:10.1109/jrfid.2024.3387996 · Cited by 68 · see citing works
Hu, B., Liu, H., Du, J., López‐Benítez, M., Wu, C., Chu, X., & Niyato, D. T. (2025) · IEEE Transactions on Cognitive Communications and Networking · doi:10.1109/tccn.2025.3586868 · Cited by 59 · see citing works
Data Security and Privacy in the Age of AI and Digital Twins
Saeed, M. M. A., Saeed, R. A., & Ahmed, Z. E. (2024) · Advances in business information systems and analytics book series · doi:10.4018/979-8-3693-1818-8.ch008 · Cited by 52 · see citing works
Vehicle system dynamics in digital twin studies in rail and road domains
Spiryagin, M., Edelmann, J., Klinger, F., & Cole, C. (2023) · Vehicle System Dynamics · doi:10.1080/00423114.2023.2188228 · Cited by 44 · see citing works
Towards zero trust security in connected vehicles: A comprehensive survey
Annabi, M., Zeroual, A., & Messai, N. (2024) · Computers & Security · doi:10.1016/j.cose.2024.104018 · Cited by 50 · see citing works
A Survey on Semantic Communications in Internet of Vehicles
Ye, S., Wu, Q., Fan, P., & Fan, Q. (2025) · Entropy · doi:10.3390/e27040445 · Cited by 46 · see citing works
Deep Deterministic Policy Gradient-Based Algorithm for Computation Offloading in IoV
Li, H., Chen, C., Shan, H., Li, P., Chang, Y. C., & Song, H. H. (2023) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2023.3325267 · Cited by 43 · see citing works
Exploring digital twins for transport planning: a review
Nag, D., Brandel-Tanis, F., Pramestri, Z. A., Pitera, K., & Frøyen, Y. K. (2025) · European Transport Research Review · doi:10.1186/s12544-025-00713-0 · Cited by 50 · see citing works
GRTR: Gradient Rebalanced Traffic Sign Recognition for Autonomous Vehicles
Guo, K., Wu, Z., Wang, W., Ren, S., Zhou, X., Gadekallu, T. R., Luo, E., & Liu, C. (2023) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2023.3270202 · Cited by 39 · see citing works
Tran-Dang, H., & Kim, D.-S. (2025) · ICT Express · doi:10.1016/j.icte.2025.01.002 · Cited by 38 · see citing works
Digital twins and 3D information modeling in a smart city for traffic controlling: A review
Rezaei, Z., Vahidnia, M., Aghamohammadi, H., Azizi, Z., & Behzadi, S. (2023) · Journal of Geography and Cartography · doi:10.24294/jgc.v6i1.1865 · Cited by 25 · see citing works
Digital Twin-Enabled Internet of Vehicles Applications
Gao, J., Peng, C., Yoshinaga, T., Han, G., Guleng, S., & Wu, C. (2024) · Electronics · doi:10.3390/electronics13071263 · Cited by 30 · see citing works
Digital Twins in Critical Infrastructure
Λαμπρόπουλος, Γ., Larrucea, X., & Colomo‐Palacios, R. (2024) · Information · doi:10.3390/info15080454 · Cited by 35 · see citing works
Gao, C., Wang, J., Dong, S., Liu, Z., Cui, Z., Ma, N., & Zhao, X. (2022) · Applied Sciences · doi:10.3390/app122111203 · Cited by 31 · see citing works
Position-Based Emergency Message Dissemination Schemes in the Internet of Vehicles: A Review
Ahmed, A., Iqbal, M. M., Jabbar, S., Ibrar, M., Erbad, A., & Song, H. H. (2023) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2023.3304127 · Cited by 31 · see citing works
Iqbal, M., Suhail, S., Matulevičius, R., Shah, F. A., Malik, S. U. R., & McLaughlin, K. (2025) · Internet of Things · doi:10.1016/j.iot.2025.101514 · Cited by 27 · see citing works
Yalavarthy, U. R. S., Kumar, N. B., Babu, A. R. V., Narasipuram, R. P., & Padmanaban, S. (2025) · Energy Conversion and Management X · doi:10.1016/j.ecmx.2025.100949 · Cited by 23 · see citing works
Secure WSN Architecture Utilizing Hybrid Encryption with DKM to Ensure Consistent IoV Communication
Lilhore, U. K., Simaiya, S., Dalal, S., Sharma, Y. K., Tomar, S., & Hashmi, A. (2024) · Wireless Personal Communications · doi:10.1007/s11277-024-10859-0 · Cited by 22 · see citing works
Blockchain for Security in Digital Twins
Suleiman, R., Sai, A. M. V. V., Yu, W., & Wang, C. (2025) · Future Internet · doi:10.3390/fi17090385 · Cited by 23 · see citing works
Digital Twin and TD3-Enabled Optimization of xEV Energy Management in Vehicle-to-Grid Networks
Saba, I., Alobaidi, A. H., Alghamdi, S. M., & Tariq, M. (2025) · IEEE Access · doi:10.1109/access.2025.3572345 · Cited by 17 · see citing works
Tang, L., Wang, A. D., Xia, B., Tang, Y., & Chen, Q. (2025) · IEEE Internet of Things Journal · doi:10.1109/jiot.2025.3535767 · Cited by 16 · see citing works
Sarkar, M., Kweon, O., Kim, B., Choi, D. G., & Kim, D. Y. (2024) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2024.3450471 · Cited by 15 · see citing works
Digital Twin Technologies for Vehicular Prototyping: A Survey
Kabir, M. R., Ravi, B. B. Y., & Ray, S. (2025) · IEEE Open Journal of Intelligent Transportation Systems · doi:10.1109/ojits.2025.3562504 · Cited by 16 · see citing works
Scalability of Cyber-Physical Systems with Real and Virtual Robots in ROS 2
Mañas-Álvarez, F.-J., Guinaldo, M., Dormido, R., & Dormido-Canto, S. (2023) · Sensors · doi:10.3390/s23136073 · Cited by 17 · see citing works
Digital Twins in Security Operations: State of the Art and Future Perspectives
Empl, P., Koch, D., Dietz, M., & Pernul, G. (2025) · ACM Computing Surveys · doi:10.1145/3746279 · Cited by 14 · see citing works
Traffic Safety Oriented Multi-Intersection Flow Prediction Based on Transformer and CNN
Fu, T., Yu, Q., Lao, H., Liu, P., & Wan, S. (2023) · Security and Communication Networks · doi:10.1155/2023/1363639 · Cited by 12 · see citing works
From Theory to Practice: A Systematic Review of Digital Twin Implementations Across Industry 4.0
Sharma, V., Sharma, K., & Kumar, A. (2023) · International Conference on Computing, Communication and Networking Technologies (ICCCNT) · doi:10.1109/icccnt56998.2023.10308052 · Cited by 15 · see citing works
A Digital Twin-Based Traffic Light Management System Using Birch Algorithm
Adarbah, H. Y., Sookhak, M., & Atiquzzaman, M. (2024) · Ad Hoc Networks · doi:10.1016/j.adhoc.2024.103613 · Cited by 12 · see citing works
Aslam, A. M., Chaudhary, R., Bhardwaj, A., Kumar, N., & Buyya, R. (2025) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2025.104138 · Cited by 17 · see citing works
Recent Progress on Digital Twins in Intelligent Connected Vehicles: A Review
Chai, X., Yan, J., Zhang, W., Sułowicz, M., & Feng, Y. (2024) · Elektronika ir Elektrotechnika · doi:10.5755/j02.eie.36209 · Cited by 11 · see citing works
Elgendy, I. A., Muthanna, A., Alshahrani, A. S., Hassan, D. S. M., Alkanhel, R. I., & Elkawkagy, M. (2024) · IEEE Access · doi:10.1109/access.2024.3514881 · Cited by 11 · see citing works
Zapata, N., Pérez-González, G., Bustos, P., Barroso, S., & Núñez, P. (2025) · Internet of Things · doi:10.1016/j.iot.2025.101627 · Cited by 13 · see citing works
Advancing intelligent transportation through digital twin: Challenges, models, and future prospects
XING, L. X., Li, B., Deng, K., Gao, J., Wu, H., Ma, H., & Zhang, X. (2025) · Ad Hoc Networks · doi:10.1016/j.adhoc.2025.104077 · Cited by 11 · see citing works
Investigation of Digital Twin Technology for Secure and Privacy Preserving Networking
Hassan, F., Kumar, V., Nishad, A. K., & Gautam, V. (2023) · Procedia Computer Science · doi:10.1016/j.procs.2023.12.095 · Cited by 11 · see citing works
Concept and framework of digital twin human geographical environment
Xu, B., Xiao, X. P., Wang, Y. P., Kang, Y., Chen, Y., Wang, P., & Lin, H. (2024) · Journal of Environmental Management · doi:10.1016/j.jenvman.2024.123866 · Cited by 10 · see citing works
Tang, L., Wang, L., Fang, D., & Chen, Q. (2025) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2024.3524595 · Cited by 10 · see citing works
Bandarapu, S. R., Bilal, M., Chatterjee, P., Cheema, A. M., Rashid, J., & Kim, J. (2025) · Journal of King Saud University - Computer and Information Sciences · doi:10.1007/s44443-025-00134-y · Cited by 10 · see citing works
Self-citationElectric mobility and beyond: advancing charging infrastructure optimization with digital twins
Eskandari, A., Malekizadeh, M., Peyravi, M. H., Nedaei, A., Kolahi, M., Erdoğan, N., Cali, Ü., & Aghaei, M. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-14070-9.00012-3 · Cited by 9 · see citing works
Diverse Top-k Service Composition for Consumer Electronics With Digital Twin in MEC
Wu, J., Sha, J., Bilal, M., Zhang, Y., & Xu, X. (2024) · IEEE Transactions on Consumer Electronics · doi:10.1109/tce.2024.3357609 · Cited by 9 · see citing works
Self-citationHnaien, I. B., Gascard, E., Simeu-Abazi, Z., & Dhouibi, H. (2024) · International Conference on Control, Automation and Diagnosis (ICCAD) · doi:10.1109/iccad60883.2024.10553718 · Cited by 7 · see citing works
Securing Vehicle-to-Digital Twin Communications in the Internet of Vehicles
Siddiqi, S. J., Alobaidi, A. H., Jan, M. A., & Tariq, M. (2025) · ACM Transactions on Multimedia Computing Communications and Applications · doi:10.1145/3711863 · Cited by 7 · see citing works
Joint Optimization of Edge Collaboration and Resource Allocation in DT-Assisted IoVs
Tang, L., Zhang, Z., Wang, A. D., & Chen, Q. (2025) · IEEE Internet of Things Journal · doi:10.1109/jiot.2025.3548312 · Cited by 7 · see citing works
Graph-Enhanced Explainable Asynchronous Federated Learning for Internet of Vehicles
Zhou, H., Zhou, Y., & Yang, W. (2025) · IEEE Internet of Things Journal · doi:10.1109/jiot.2025.3556933 · Cited by 7 · see citing works
Need for explainable artificial intelligence ethnic decision-making in society 5.0
Magd, H. A. E., Ansari, M. S. A., & Khan, S. A. (2024) · Elsevier eBooks · doi:10.1016/b978-0-323-95315-3.00010-3 · Cited by 7 · see citing works
Toward Trustworthy Digital Twinning: Taxonomy, Analysis, and Open Challenges
Azzedin, F., Alhazmi, T. A., & Rahman, M. M. S. (2025) · Electronics · doi:10.3390/electronics14234732 · Cited by 6 · see citing works
Adil, M., Song, H. H., Farouk, A., & Jin, Z. (2023) · IEEE Network · doi:10.1109/mnet.001.2200629 · Cited by 6 · see citing works
Secure Key Exchange Scheme and Blockchain-oriented Data Protection in the Internet of Vehicles
Cherbal, S. (2023) · International Conference on Signal Processing and Information Security (ICSPIS) · doi:10.1109/icspis60075.2023.10343615 · Cited by 6 · see citing works
Ahmad, A., Shah, A., Alnumay, W. S., Adnan, M., Anwer, S., & Zaman, Q. U. (2025) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2025.110486 · Cited by 7 · see citing works
Priority based inter-twin communication in vehicular digital twin networks
Zia, Q., Wang, C., Zhu, S., & Li, Y. (2024) · International Journal of Parallel Emergent and Distributed Systems · doi:10.1080/17445760.2024.2398082 · Cited by 5 · see citing works
Society 5.0 and explainable artificial intelligence—implications
Ponraj, R. P., Ravindran, V., Ragunathan, S., Swaminathan, K., & Sigamani, T. (2024) · Elsevier eBooks · doi:10.1016/b978-0-323-95315-3.00009-7 · Cited by 5 · see citing works
Research status and development trends of digital twin technology in apparel production: a review
Bi, Y., Pan, L., & Cao, L. (2025) · Journal of the Textile Institute · doi:10.1080/00405000.2025.2496840 · Cited by 8 · see citing works
Digital twin human geographic environment
Hui, L., Bingli, X. U., Xin, X. I. A. O., & Yuting, C. (2024) · National Remote Sensing Bulletin · doi:10.11834/jrs.20232652 · Cited by 4 · see citing works
Bibliometric Analysis on Applications of Digital Twins in Autonomous Vehicles
Sarantinoudis, N., Tsinarakis, G. J., Doitsidis, L., Tsourveloudis, N. C., & Arampatzis, G. (2023) · Mediterranean Conference on Control and Automation (MED) · doi:10.1109/med59994.2023.10185874 · Cited by 4 · see citing works
A ROS-Based Autonomous Vehicle Testbed for the Internet of Vehicles
Sarantinoudis, N., Tsinarakis, G. J., Doitsidis, L., Chatzichristofis, S. A., & Arampatzis, G. (2023) · International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT) · doi:10.1109/dcoss-iot58021.2023.00114 · Cited by 4 · see citing works
Traffic Density Estimation by Distributed Proxy Model Learning for Internet of Vehicle
Li, Q., Cheng, J., Gao, M., Chen, J., & Jeon, G. (2025) · IEEE Internet of Things Journal · doi:10.1109/jiot.2025.3542534 · Cited by 3 · see citing works
Azzedin, F., Alhazmi, T. A., & Hammoudeh, M. (2026) · Arabian Journal for Science and Engineering · doi:10.1007/s13369-026-11177-2 · Cited by 3 · see citing works
Gautam, D., Thakur, G., Prajapat, S., & Kumar, P. (2025) · Vehicular Communications · doi:10.1016/j.vehcom.2025.100890 · Cited by 3 · see citing works
Kumar, L., & Kumar, A. (2025) · International Conference on Cognitive Robotics and Intelligent Systems (ICC-ROBINS) · doi:10.1109/icc-robins64345.2025.11086226 · Cited by 3 · see citing works
The IoT Transformation: Improving Safety and Efficiency in Smart City Transportation
Badoni, P., Yaqoob, S. I., Mahender, K., Kumar, S., Shrimal, V. M., & Wadhwa, M. (2025) · World Skills Conference on Universal Data Analytics and Sciences (WorldSUAS) · doi:10.1109/worldsuas66815.2025.11199148 · Cited by 3 · see citing works
An intrusion detection system for Internet of Vehicles based on digital twin
Wang, Y., Qin, G., Sun, M., Liang, Y., Yang, X., Li, M., & Hu, C. (2025) · The Journal of Supercomputing · doi:10.1007/s11227-025-08044-6 · Cited by 2 · see citing works
Resource Allocation in IOV Based on Digital Twin Network: A Survey
Jlassi, W., Ghannay, S., & Gammar, S. M. (2026) · Journal of Network and Systems Management · doi:10.1007/s10922-025-10019-0 · Cited by 2 · see citing works
Contested Logistics Operating Under Digital Support
Schlichting, G. S., Reddy, A., Murphy, D., Oroz, J., Fischer, O. J. P., & Mavris, D. N. (2024) · AIAA SciTech Forum · doi:10.2514/6.2024-0481 · Cited by 2 · see citing works
Restrepo-Carmona, J. A., Taborda, E. A., Paniagua-García, E., Escobar, C. A., Sierra-Pérez, J., & Vásquez, R. E. (2024) · Machines · doi:10.3390/machines12090625 · Cited by 2 · see citing works
Kaur, T., & Kaur, P. D. (2025) · Communications in computer and information science · doi:10.1007/978-3-031-86302-8_22 · Cited by 2 · see citing works
6G‐enabled Digital Twin for Smart Transportation
WAKHARE, P., PATIL, P., BAKARE, A. A., NIKAM, R., KUMAR, V., Sood, Y., & Köse, U. (2025) · doi:10.1002/9781394411337.ch8 · Cited by 2 · see citing works
Islam, N., & Zulkernine, M. (2025) · arXiv · doi:10.48550/arxiv.2503.01089 · Cited by 1 · see citing works
“Furthermore, reliable communication and coordination between CAVs and other entities on the road through V2X communication are essential for enhancing situational awareness and enabling cooperative decision-making using advanced AI systems.”
The Digital Twin in Vehicular Network: A Key to the Future of IoV ?
Ghannay, S., & Gammar, S. M. (2024) · IFIP/IEEE International Conference on Performance Evaluation and Modeling in Wired and Wireless Networks (PEMWN) · doi:10.23919/pemwn62766.2024.10737568 · Cited by 1 · see citing works
From Smart Cities to Manufacturing: A Comprehensive Study on Digital Twin Applications and Barrier
Pathri, B. P., & Ganduri, K. V. (2025) · Digital twins and applications. · doi:10.1049/dgt2.70014 · Cited by 1 · see citing works
The network digital twin in Internet of Vehicles: applications, modeling, and challenges
Ghannay, S., & Gammar, S. M. (2026) · Annals of Telecommunications · doi:10.1007/s12243-026-01164-x · Cited by 1 · see citing works
Wu, R., & Yang, J. H. (2025) · Frontiers in Physics · doi:10.3389/fphy.2025.1542666 · Cited by 1 · see citing works
Navigating Artificial Intelligence and Digital Twin for Smart Cities
Shafik, W. (2025) · doi:10.1002/9781394411320.ch1 · Cited by 1 · see citing works
Digital Twins for CCAM Applications – The Case of Augmented CCAM and Beyond
Bekiaris, E. D., Gkemou, M., Roselló, A. M., Peris, R., Lidere, E., Elkenawy, A., Kadiķis, R., Ozols, K., Ghosh, B., Bharathi, D., et al. (2024) · Lecture notes in networks and systems · doi:10.1007/978-3-031-53598-7_1
Review of Digital Twins in Intelligent Driving
Zhou, Y., Hu, D. T., Huang, C., & Huang, H. (2024) · CAA International Conference on Vehicular Control and Intelligence (CVCI) · doi:10.1109/cvci63518.2024.10830222
Analyzing User Needs of Autonomous Transportation Systems with Activity Theory and Knowledge Graph
Zheng, L., Bao, C., & Wei, W. (2025) · Lecture notes in electrical engineering · doi:10.1007/978-981-96-3973-1_51
Data-driven traffic management: Enhancing road safety through integrated digital twin technology
Durković, M., Lukovac, P., Hadzic, D., Barać, D., & Bogdanović, Z. M. (2025) · Computer Science and Information Systems · doi:10.2298/csis240925058d
Zhang, T., Tang, X., Kang, J., & Xu, C. (2025) · SpringerBriefs in computer science · doi:10.1007/978-981-95-0615-6_1
Khan, N., Khokale, R., & Khatib, M. S. (2025) · Springer eBooks · doi:10.1007/978-3-031-92854-3_42
Blockchain-Backed Secure Communication 3.0 for trustworthy digital twin healthcare systems
Rajpurohit, S. S., Patil, A. A., Gojare, A. M., Bhapkar, A. D., Agrawal, L., & Goradiya, U. B. (2026) · Advances in computers · doi:10.1016/bs.adcom.2026.02.003
Task Allocation in Digital Twin Enabled IoV Using Grey Wolf Optimization
Khanal, S., Ram, P. K., Sharma, M., & Harizan, S. (2026) · International Conference on Computing, Electronics & Communications Engineering (iCCECE) · doi:10.1109/iccece69715.2026.11493098
Trust Management for Digital Twins in Cloud-Based Environments
Azzedin, F., Alhazmi, T. A., & Hammoudeh, M. (2025) · International Conference on Future Networks and Distributed Systems (ICFNDS) · doi:10.1145/3789692.3789851
FDDPG: a federated deep deterministic policy gradient-based method for attack detection in IoV
Wang, S., Cong, L., Liu, X., Hong, Y., & Wang, R. (2026) · The Journal of Supercomputing · doi:10.1007/s11227-026-08607-1
An EME-Reduced FlexRay Transmitter Architecture Employing a Common-Mode Feedback Control
Mansoury, H. S., Saeedi, S., & Atarodi, M. (2026) · IEEE Transactions on Electromagnetic Compatibility · doi:10.1109/temc.2026.3699374
Geng, Y. (2026) · International Journal of Intelligent Transportation Systems Research · doi:10.1007/s13177-026-00684-z
Serrone, G. D., Loprencipe, G., & Moretti, L. (2026) · Infrastructures · doi:10.3390/infrastructures11060207
Wang, X., Chen, L. R., Xue, D., Chen, C., & Wang, P. (2026) · Journal of Marine Science and Engineering · doi:10.3390/jmse14151393
Digital-Twin-Enabled Remote Operation of Autonomous Systems: An Architecture-Driven Survey
Hasan, S., Hafiz, M. S., & Chowdhury, A. R. (2026) · IEEE Sensors Reviews · doi:10.1109/sr.2026.3729195
Adaptive bandwidth data-aware technology in vehicular network communication environments
Bian, L. (2026) · Journal of Information and Telecommunication · doi:10.1080/24751839.2026.2728248
A Cross-Layer Review of Intelligent, Secure, and Privacy-Preserving Internet of Vehicles
Alayedi, M., & Jaradat, A. (2026) · Machine Learning and Knowledge Extraction · doi:10.3390/make8090277
Digital Twin in Vehicular Communications: Challenges and Opportunities
Ye, J., Jiang, Y., Chen, Z., He, Z., Gan, D., Ai, X., Ma, L., & Ge, X. (2026) · Future Internet · doi:10.3390/fi18090479
Adaptive Gravity Routing with Deadlock-Triggered Learning for VDTN
Xuemin, Z., Xin, L., Shuangyuan, S., Chuanxiang, M., Xiong, Z., Qiang, L., & 罗成勇 (2026) · Journal of Signal Processing Systems · doi:10.1007/s11265-026-02015-7
Elghanam, E. A., Abdelfatah, A. S., Hassan, M. S., & Osman, A. H. (2026) · Journal of Traffic and Transportation Engineering (English Edition) · doi:10.1016/j.jtte.2025.10.003
Applying deep reinforcement learning to manage mobility in a sliced 6G vehicular network: a survey
Arwa, A., & Zarai, F. (2026) · Cluster Computing · doi:10.1007/s10586-026-06606-8
Digital Twin-Assisted Wireless Channel Prediction and Computational Offloading in VEC Networks
Uwizeyimana, B., & Fapojuwo, A. O. (2026) · IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) · doi:10.1109/pimrc69400.2026.11711986
Digital Twin in Intelligent Transportation Systems: A Review
Zhou, Y., Hu, D., & Huang, C. (2026) · Springer handbooks · doi:10.1007/978-3-031-92372-2_51
Cybersecurity and interoperability in digital twins technology for AEVs
Vardhan, A., Yadav, M., Saini, S., Chauhan, A. S., & Sharma, S. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-43962-9.00013-9
- Authors
- Guo, J., Bilal, M., Qiu, Y., Qian, C., Xu, X., & Raymond Choo, K.-K.
- Affiliations
- Nanjing University of Information Science and Technology (CN)
- Hankuk University of Foreign Studies (KR)
- Corresponding author
- Xu, Xiaolong
- Venue
- Digital Communications and Networks
- Publisher
- Elsevier BV
- Published
- 2024-04
- Volume
- 10
- Issue
- 2
- Pages
- 237-247
- ISSN
- 2352-8648 (ISSN-L)
- OpenAlex
- W4286298182
- Cited by
- 99
- References
- 108
- Citations by year
- 2026: 20 · 2025: 37 · 2024: 26 · 2023: 14 · 2022: 2
- FWCI
- 9.06
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Digital Communications and Networks (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Lancaster EPrints (Lancaster University) (submittedVersion)
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Vehicular Ad Hoc Networks (VANETs)
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Applied Advanced Technologies
- Keywords
- digital twin, Internet of Vehicles, autonomous vehicles, high-fidelity modeling, real-time monitoring, predictive power, intelligent transportation systems, smart cities
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
