The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
Intelligent transportation systems for sustainable smart cities
Open accessAbstract
Intelligent Transportation Systems are rapidly expanding to meet the growing demand for safer, more efficient, and sustainable transportation solutions. These systems encompass various applications, from traffic management and control to autonomous vehicles, aiming to enhance mobility experiences while addressing urbanization challenges. This paper examines key components of Intelligent Transportation Systems, including Vehicular Ad-hoc Networks, Intelligent Traffic Lights, Virtual Traffic Lights, and Mobility Prediction, emphasizing their role in improving transportation efficiency, safety, and sustainability. It explores recent advancements in communication systems that enable real-time Intelligent Transportation Systems operations, contributing to the realization of environmentally friendly smart cities.Moreover, the paper addresses security challenges associated with Intelligent Transportation Systems deployment, particularly concerning public transit privacy, and presents case studies illustrating the benefits of Intelligent Transportation Systems integration in specific urban areas, emphasizing its role in fostering Sustainable Smart Cities. Additionally, it examines proactive initiatives by automotive manufacturers in adhering to Intelligent Transportation Systems standards, ensuring mutual benefits for drivers and urban centers.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
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?
In the citing paper
“Furthermore, existing traffic management architectures are not intelligent enough to control signals in real-time according to live street conditions and vehicle movement patterns [15,16].”
From Multi-agent Reinforcement Learning for Real-time Traffic Control in 6G-Enabled VANET Environments (2025) · cites this paper as [15]
Citations
Cites
Reliability Analysis of DSRC Wireless Communication for Vehicle Safety Applications
Bai, F., & Krishnan, H. (2006) · IEEE International Conference on Intelligent Transportation Systems (ITSC) · doi:10.1109/itsc.2006.1706767 · Cited by 325
Smart City and Smart Tourism: A Case of Dubai
Khan, M. S., Woo, M., Nam, K.-C., & Chathoth, P. K. (2017) · Sustainability · doi:10.3390/su9122279 · Cited by 318
Recuperation of Regenerative Braking Energy in Electric Rail Transit Systems
Khodaparastan, M., Mohamed, A., & Brandauer, W. (2019) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2018.2886809 · Cited by 277
Long-Term Mobile Traffic Forecasting Using Deep Spatio-Temporal Neural Networks
Zhang, C., & Patras, P. (2018) · ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc) · doi:10.1145/3209582.3209606 · Cited by 276
Deployment of IoV for Smart Cities: Applications, Architecture, and Challenges
Ang, L.-M., Seng, K. P., Ijemaru, G. K., & Zungeru, A. M. (2018) · IEEE Access · doi:10.1109/access.2018.2887076 · Cited by 255
Lv, Z., & Shang, W. (2022) · Green Technologies and Sustainability · doi:10.1016/j.grets.2022.100002 · Cited by 251
Smart city for VANETs using warning messages, traffic statistics and intelligent traffic lights
Barba, C. T., Mateos, M., Soto, P. R., Mezher, A. M., & Igartua, M. A. (2012) · IEEE Intelligent Vehicles Symposium · doi:10.1109/ivs.2012.6232229 · Cited by 201
A Survey on the Current Security Landscape of Intelligent Transportation Systems
Lamssaggad, A., Benamar, N., Hafid, A. S., & Msahli, M. (2021) · IEEE Access · doi:10.1109/access.2021.3050038 · Cited by 179
Secure intelligent traffic light control using fog computing
Liu, J., Li, J., Zhang, L., Dai, F., Zhang, Y., Meng, X., & Shen, J. (2018) · Future Generation Computer Systems · doi:10.1016/j.future.2017.02.017 · Cited by 168
Intelligent Traffic Light Controlling Algorithms Using Vehicular Networks
Younes, M. B., & Boukerche, A. (2015) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2015.2472367 · Cited by 149
Research works printed but not linked: 18
- Singh, 2019, Survey on vehicular communication state of the art, and future research directions, Veh. Commun., 18
- Makwana, N.P.; Vithalani, S.K.; Dhanesha, J.D. Intrusion Detection-Watchdog: for Secure AODV Routing Protocol in VANET. https://www.semanticscholar.org/paper/Intrusion-Detection-Watchdog%3A-For-Secure-AODV-in-Makwana-Vithalani/c047e96a569d06065e134b3084ac13dd74d20399.
- Taxi Demand Prediction using an LSTM-Based Deep Sequence Model and Points of Interest. ieeexplore.ieee.org. https://ieeexplore.ieee.org/document/9202791.
- Prediction Performance of Lane Changing Behaviors: a Study of Combining Environmental and Eye-Tracking Data in a Driving Simulator. ieeexplore.ieee.org. https://ieeexplore.ieee.org/document/8821577.
- Predictive A.D.A.S.: A predictive trajectory guidance scheme for advanced driver assistance in public traffic. ieeexplore.ieee.org. https://ieeexplore.ieee.org/document/7331060.
- A New Handoff Ordering and Reduction Scheme Based on Road Topology Information. ieeexplore.ieee.org. https://ieeexplore.ieee.org/document/4149537.
- Mobility prediction for handover management in cellular networks with control/data separation. ieeexplore.ieee.org. https://ieeexplore.ieee.org/abstract/document/7248939.
- Al-Hattab, 2012, Mobility prediction using pattern matching, IJECS-IJENS, 12, 18
- A Destination and Mobility Path Prediction Scheme for Mobile Networks. ieeexplore.ieee.org. https://ieeexplore.ieee.org/document/6872550.
- Mobility-Aware Proactive Edge Caching for Connected Vehicles Using Federated Learning. ieeexplore.ieee.org. https://ieeexplore.ieee.org/document/9181482.
- Mobility-Aware Pre-caching Based on Unsupervised Deep Generative Model for Small Cell Networks. ieeexplore.ieee.org. https://ieeexplore.ieee.org/document/9008496.
- Box, G.E.P., Jenkins, G.M. and Reinsel, G.C. (1994) Time series analysis; forecasting and control. 3rd Edition, Prentice Hall, Englewood Cliff, New Jersey. - References - Scientific Research Publishing. https://www.scirp.org/(S(i43dyn45teexjx455qlt3d2q))/reference/ReferencesPapers.aspx?ReferenceID=1 936224.
- Exploring Trajectory Prediction Through Machine Learning Methods. ieeexplore.ieee.org. https://ieeexplore.ieee.org/document/8766820 (accessed 2023).
- Mobility Prediction Based on Machine Learning. ieeexplore.ieee.org. https://ieeexplore.ieee.org/document/6068488 (accessed 2023).
- Soyturk, 2023, Chapter 8 - From vehicular networks to vehicular clouds in smart cities, ScienceDirect
- Lv, 2022, Impacts of intelligent transportation systems on energy conservation and emission reduction of transport systems: a comprehensive review, Green Technol. Sustainability, 1
- “IEEE Xplore - Temporarily Unavailable,” s3-us-west-2.amazonaws.com. https://ieeexplore.ieee.org/document/6935482 (accessed Feb. 26, 2024).
- 2023, Smart mobility in smart city – Copenhagen and Barcelona comparison, Zeszyty Naukowe, 2023
Cited by
Sorted by citations
Items 401–500 of 558
Prediction for Multi-Company Ride-Hailing Trajectory Data Based on TEE and Modified ASTGCN
Hu, Y., Guo, R., Shuai, S., Jiang, Z., Zhou, S., Kong, X., Yang, J., & Yang, Y. (2025) · International Conference on Computer Science and Management Technology (ICCSMT) · doi:10.1145/3795154.3795437
Analyse spatio-temporelle et modélisation prédictive du réseau de transport public de Montréal
Boudabbous, E. (2026) · Espace ÉTS (ETS)
Hadis, M. S., Akita, J., Hamid, N. A., Antariksa, G., Saleh, H., & Ferik, S. E. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6512538
Sousa, A., Abreu, R., Correia, L., & Reis, M. J. C. S. (2026) · Lecture notes in networks and systems · doi:10.1007/978-3-032-05748-8_31
Gestal, S., de Haro, S. J. L., Rossit, D. G., & Nesmachnow, S. (2026) · Communications in computer and information science · doi:10.1007/978-3-032-19019-2_16
Influence of highway transportation on environment: A state of art
Erçetin, M. A., Gökalp, İ., & Suklun, H. (2026) · Environmental Research and Technology · doi:10.35208/ert.1633795
Varun, C. S., Ranjith, R., Sathya Bama Krishna., R., & Rayen, S. J. (2026) · International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES) · doi:10.1109/icses66558.2026.11479159
Billah, M. E. K., Houssaini, M.-A. E., Mabrouk, A., Hadir, A., & Houssaini, S. E. (2026) · Lecture notes in networks and systems · doi:10.1007/978-3-032-19760-3_15
Traffic Calming Measures in Urban Environment: A Systematic Review
Bajestani, M. S., & Pirdavani, A. (2026) · Infrastructures · doi:10.3390/infrastructures11050148
Fang, X., Lian, P., HUANG, W., Wang, C. Y., Easa, S. M., Lin, S., & Ning, C. H. E. N. (2026) · PROMET - Traffic&Transportation · doi:10.7307/ptt.v38i4.1210
Reis, M. (2026) · Frontiers in Future Transportation · doi:10.3389/ffutr.2026.1765638
Akıllı Ulaşım Sistemlerinin Trafik Sorununa Çözüm Potansiyeli
Bayrak, S. (2026) · Trafik ve Ulaşım Araştırmaları Dergisi · doi:10.38002/tuad.1796934
Explainable Shuttle Delay Prediction for Smart Campus Mobility
Devarajan, A. R., Mohammed, H. A., & Abdalgader, K. (2026) · International Conference on Electrical/Electronics, Robotics, Artificial Intelligence, and Informatics (ICERAI) · doi:10.1109/icerai69511.2026.11494561
Rizzello, V., Mantecchini, L., Costa, F. P. N., Malandri, C., Estrada, M., & Lamardelé, C. (2026) · Lecture notes in civil engineering · doi:10.1007/978-3-032-16695-1_43
Revealing the smartness level of cities via a cutting-edge integrated multi-criteria framework
Ögel, İ. Y., Ecer, F., & Göçoğlu, V. (2026) · International Journal of Urban Sciences · doi:10.1080/12265934.2026.2657014
Başçiftçi, F., PALALI, A., & Sayad, Ö. (2026) · El-Cezeri Fen ve Mühendislik Dergisi · doi:10.31202/ecjse.1835852
Improving Green Transportation Management by Intelligent Control and Legal Reasoning
ugli, B. T. M., Toymuxamedov, I., Muminova, M., Vildanova, L., Murodova, D., & Jumayev, M. (2025) · International Conference on Future Networks and Distributed Systems (ICFNDS) · doi:10.1145/3789692.3789709
Wang, B., Lyu, P., Lai, J., Bai, S., Cao, C., & Yang, X. (2026) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2026.3690808
A Weather-Enhanced Deep Learning Approach for Bus Passenger Demand Forecasting in Smart Bus Systems
Hai, T. H. L., Ngoc, R. T., Nhat, T. K., Khanh, M. N. N., & Thoai, N. (2026) · Lecture notes on data engineering and communications technologies · doi:10.1007/978-3-032-13254-3_23
León-González, P. J. L. (2026) · Revista Transdiciplinaria de Estudios Sociales y Tecnológicos · doi:10.58594/rtest.v6i2.225
Pritha, P. S., & Kamalakannan, T. (2026) · International Conference on Intelligent Computing and Control Systems (ICICCS) · doi:10.1109/iciccs67901.2026.11502874
Yang, S., Huang, C., Yin, K., & Zhang, H. (2026) · Neural Networks · doi:10.1016/j.neunet.2026.109060
AI-Driven Vehicle Perception: Mimicking the Human Brain for Intelligent Driving Systems
Bodapati, S. J., & Merakanapalli, S. (2026) · International Conference on Intelligent Computing and Control Systems (ICICCS) · doi:10.1109/iciccs67901.2026.11502998
Duan, C., Rao, D. D., Subbalakshmi, C., Mishra, S., Soliman, N. F., & Hassan, M. M. (2026) · International Journal of Intelligent Transportation Systems Research · doi:10.1007/s13177-026-00635-8
Omar, R. S., Halim, H. A. A., Tukimin, R., Yunoh, W. S. W., Hidzir, N. M., Fadzil, S. M., Mohamed, F., Ibrahim, N. M., Zainal, N. A., Samah, M. S. A., et al. (2026) · IOP Conference Series Materials Science and Engineering · doi:10.1088/1757-899x/1347/1/012016
A Survey of Security Challenges and Emerging Solutions in VANETs
Saharsh, S., Verma, V., Rawat, B., Monika, & Rani, P. (2025) · IEEE International Conference on Recent Trends in Computing and Smart Mobility (RCSM) · doi:10.1109/rcsm67767.2025.11507769
A Survey of Security Challenges and Emerging Solutions in VANETs
Saharsh, Verma, V., Rawat, B., Monika, & Rani, P. (2025) · IEEE International Conference on Recent Trends in Computing and Smart Mobility (RCSM) · doi:10.1109/rcsm67767.2025.11507880
DRL based Intrusion Detection System for IoT Networks
N.Srikanth, Sindhu, L., A.Priyatham, & Raghava, V. B. (2026) · International Conference on Inventive Computation Technologies (ICICT) · doi:10.1109/icict68280.2026.11510892
TALİH, Ö., & Tektaş, N. (2026) · Trafik ve Ulaşım Araştırmaları Dergisi · doi:10.38002/tuad.1810166
Wang, Z., Melles, M., Deng, R., Albayrak, A., Wang, Z., Xiao, D., & Lu, J. (2026) · Transportation · doi:10.1007/s11116-026-10781-3
Inclusive Smart Cities: Ensuring Accessibility for Disabled Children in Urban Spaces
Sahu, S., & Mallick, N. (2026) · Green energy and technology · doi:10.1007/978-3-031-99001-4_43
Development of a Lightweight Hybrid IDS for Real-Time Attack Detection in Urban VANET Architectures
Rengarajan, A., Wunnava, A., Makka, S., Pachayappan, R., Meher, K., & Sharma, D. (2026) · SN Computer Science · doi:10.1007/s42979-026-05022-4
Intelligent Transportation Systems for Evolving Cities: Key Challenges and Research Opportunities
Wang, X., Wang, Y., Lu, L., Pan, Y., You, J., & Sun, P. Z. H. (2026) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2026.3686913
Hieu, L. D., Cuong, N. X., & Nhu, Y. (2026) · Journal of Engineering and Technological Sciences · doi:10.5614/j.eng.technol.sci.2026.58.3.7
Alharbi, A., Ahmed, A., Sen, S. A., Alburaidi, F. O., Alhaj, H., & Yamin, M. (2026) · International Conference on Computing for Sustainable Global Development · doi:10.23919/indiacom70271.2026.11525698
An, N.-H., Quang, D.-C., & Le, V.-V. (2026) · Neural Networks · doi:10.1016/j.neunet.2026.109176
AI‐Based Air Pollution Forecasting Using SAE and Metaheuristic‐Optimized ANN
Mahadev, N., Krishna, S., Natarajan, R., Premkumar, A., Irudayasamy, A., & Vasu, K. (2026) · Applied Computational Intelligence and Soft Computing · doi:10.1155/acis/7921862
Lightweight Vehicle Damage Detection Using GSConv-Based Slim-Neck and Bi-Level Routing Attention
Huang, L., Lai, X., Lin, P., & Li, W. (2026) · World Electric Vehicle Journal · doi:10.3390/wevj17060290
Javeed, M. S., Biswas, A. K., Hasan, M. N., Maua, J., & Islam, R. (2026) · PLoS ONE · doi:10.1371/journal.pone.0349787
Cucchiella, F., Ehtsham, M., Rocco, V. D., & Stornelli, V. (2026) · Journal of Sustainability Research · doi:10.20900/jsr20260052
Goud, E. C., Adithya, A., Chiluka, S. K., Sheik, A. G., & Niranjan, T. (2026) · International Journal of Drug Delivery Technology · doi:10.25258/ijddt.16.41s.97
Liao, J., Chen, Q., Hu, L., Li, Q., & Luo, L. (2026) · International Journal of Pavement Engineering · doi:10.1080/10298436.2026.2682520
Miraç, B., Temel, O. S., Ercan, C., & Aziziaghdam, E. T. (2026) · IEEE International Conference on Computing and Machine Intelligence (ICMI) · doi:10.1109/icmi68585.2026.11539795
Intelligent Traffic System in Emergency Vehicle Priority System Management
Vijai, R., Arunath, A., Priya Dharsan, S., & S.RajeshBabu (2026) · International Conference on Trends in Electronics and Informatics (ICOEI) · doi:10.1109/icoei68323.2026.11541347
Masood, F., Kamal, R., Malwi, W. A., Asiri, F., Alshehri, M. S., Akhmetzhanova, S., & Ahmad, J. E. (2026) · Internet of Things · doi:10.1016/j.iot.2026.101983
Hartatik, N., Rizkiardi, A., Punarta, I. G. A., & Prasetyo, Y. D. (2026) · Jurnal PenSil · doi:10.21009/jpensil.v15i2.66278
SMART-ЛОГІСТИКА В УПРАВЛІННІ ПІДПРИЄМСТВАМИ МІСЬКОГО ГРОМАДСЬКОГО ТРАНСПОРТУ
Юрченко, О., Никонюк, К. О., & ЄМЕЦЬ, А. (2026) · Економічна парадигма · doi:10.25313/3083-7782-2026-5-39
Maschi, L. F. C., Valentini, E. P., Avallone, E., Viana, F. L., Bruschi, S. M., & Meneguette, R. I. (2026) · Anais do Workshop de Computação Urbana (CoUrb) · doi:10.5753/courb.2026.23163
Fog computing for digital twin: supporting Internet of Things–enabled smart cyber-physical systems
Musa, A. A., Ripley, C., Wang, Y., Liang, H., & Yu, W. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-43896-7.00012-1
Zarei, A., Shahnia, F., Samadian, M., Jani, M., Gharehpetian, G. B., & Mirjalili, S. (2026) · e-Prime – Nexus of Electrical Electronic and Intelligent Engineering · doi:10.1016/j.eprime.2026.201209
Kaur, K., Mulla, T., Shaikh, N., Kumar, S., Kashyap, P., & Chandra, S. (2026) · ShodhKosh Journal of Visual and Performing Arts · doi:10.29121/shodhkosh.v7.i15s.2026.8641
Ford, S. (2026) · TigerPrints (Clemson University)
Chai, G., Huang, R., Zhou, G., Li, C., Cheng, N., & Yu, F. R. (2026) · IEEE Transactions on Cognitive Communications and Networking · doi:10.1109/tccn.2026.3704887
Yüksel, S., Dınçer, H., Eti, S., Demir, C., Pamucar, D., & Šimić, V. (2026) · Energy Reports · doi:10.1016/j.egyr.2026.109444
Real-Time Campus Transportation Monitoring and Notification Platform Developed with Flutter
Gayathri, C., Akshaya, K., Gopika Malar, C., Kavya, A., & Keerthana, V. (2026) · International Conference on Inventive Research in Computing Applications (ICIRCA) · doi:10.1109/icirca69024.2026.11570339
A Multi-Layer Intelligent Transportation Architecture using VANET and Machine Learning
Kaur, G., & Bathla, G. (2026) · International Conference on Inventive Research in Computing Applications (ICIRCA) · doi:10.1109/icirca69024.2026.11570304
Smart Technologies for Green City Mobility
Sufyan, G. (2026) · Springer eBooks · doi:10.1007/978-981-96-1800-2_179-1
Smart Technologies for Urban Safety
Benny, B., Chully, A. A., & Bijoy, A. (2026) · Springer eBooks · doi:10.1007/978-981-96-1800-2_290-1
Managing risks in IoT-enabled smart cities: a fuzzy multi-criteria decision-making approach
Isiaku, L., & Sheikmuse, A. M. (2026) · Smart and Sustainable Built Environment · doi:10.1108/sasbe-09-2025-0534
Gaze Patterns of E-Scooter Riders at Urban Intersections: A Real-World Eye-Tracking Study
Rizehbandi, S., Fiolić, M., Ferko, M., Cvahte, T., & Babić, D. (2026) · Road and rail infrastructure · doi:10.5592/co/cetra.2026.1860
Mariño, C., & Cruz, J. (2026) · EASI Ingeniería y Ciencias Aplicadas en la Industria · doi:10.53591/easi.v3i2.3248
Bilotta, S., Collini, E., Fanfani, M., Palesi, L. A. I., Nesi, P., & Pantaleo, G. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-30536-7_38
LiTransNet: LiDAR Point Cloud Transmission for Autonomous Vehicles Using Deep Learning
Hussain, T., Akbar, W., Hussain, A., Haq, M. I. U., Hussain, A., & Jiang, W. (2026) · International Conference on Robotics, Automation and Intelligent Transportation Systems (RAITS) · doi:10.1109/raits68656.2026.11580194
Damana, A. I., Wizor, C. H., Okodudu, E. E., & Iwuoha, S. E. (2026) · Transportation System and Logistics · doi:10.70726/tsl.2026.846x002
Pan, J., & Moews, B. (2026) · Journal of Transport Geography · doi:10.1016/j.jtrangeo.2026.104757
PEMoE: Prototype-Enhanced Mixture-of-Experts for Evolving Traffic NetworksPreprint
Li, H., Yang, S. J., Xue, M., Xu, Z., & Wu, Q. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.7077816
Basso, F., Fernández-Figueroa, V., Maldonado, T., Martínez, D. A., Pezoa, R., Varas, M., & Villa-Rodríguez, F. (2026) · Transportation Letters · doi:10.1080/19427867.2026.2689732
Zhao, Y., Wang, Q., Lv, Y., & Yu, Y. (2026) · IEEE Systems Man and Cybernetics Magazine · doi:10.1109/msmc.2025.3625692
Singh, B., & Sharma, D. K. (2026) · Intelligent systems reference library · doi:10.1007/978-3-032-21753-0_9
Traffic Video Data Enhancement for ITS in Smart Cities
Bose, S., Kolekar, M. H., & Arora, S. (2026) · Intelligent systems reference library · doi:10.1007/978-3-032-21753-0_16
Smart Cities Evolutionary Progress in the B5G/6G Era: The 6G-PATH European Paradigm
Chochliouros, I. P., Spiliopoulou, A. S., Lessi, C. C., Cordeiro, L., Paraskeva, M., Li, J., Gedara, I. W., Sivarajah, U., & Weerakkody, V. (2026) · IFIP advances in information and communication technology · doi:10.1007/978-3-032-30507-7_18
Sun, B., Xu, H., Wu, Z., Zhang, Q., Wu, L., Liu, Y., Mi, Y., & Mao, H. (2026) · Journal of Environmental Management · doi:10.1016/j.jenvman.2026.130478
RACER: Real-Time Adaptive Congestion-Aware Emergency Routing in Urban Vehicular Networks
Ankarboina, H., Kumari, J., Singh, A. K., & Bhardwaj, A. (2026) · IEEE Open Journal of the Communications Society · doi:10.1109/ojcoms.2026.3713168
Shilpa, V., Ragavarshini, B. S., Pragnya, C., & Perugu, H. N. (2026) · International Conference on Emerging Trends in Mobile Computing and Sustainable Informatics (ICEMCSI) · doi:10.1109/icemcsi67638.2026.11603175
Fayyaz, M. (2026) · UCrea (University of Cantabria)
Granà, A., Macioszek, E., & Tumminello, M. L. (2026) · Sustainability · doi:10.3390/su18147375
Patel, D. C. K. (2026) · International Journal of Advanced Artificial Intelligence Research · doi:10.55640/ijaair-v03i07-03
Vpliv digitalnih rešitev na trajnostno mobilnost in prometno varnost v slovenskih občinah
Smole, T., & Marič, M. (2026) · doi:10.18690/um.fov.7.2026.3
Future of Transportation Safety: Emerging Technologies, Challenges, And Opportunities
Jain, M. (2026) · International Journal of Next-Generation Engineering and Technology · doi:10.55640/ijnget-v03i07-02
Real-Time Situational Traffic Awareness Platform: Leveraging Sensor Data For Safer Urban Mobility
Koojo, I. (2025) · elib (German Aerospace Center)
Pratama, A., Tibrani, T., & Ramadhan, D. A. (2026) · Journal of Government and Politics (JGOP) · doi:10.31764/jgop.v8i1.38135
Simwinga, B., Zimba, A., & Nyirenda, M. (2026) · Discover Networks · doi:10.1007/s44354-026-00043-0
Nguyen, H. L., & Nguyen, T. (2026) · International Journal of Construction Management · doi:10.1080/15623599.2026.2710273
Decentralized Hybrid Logit–Evolutionary Game for Handover in Multi-RAT Vehicular Network
Murshed, M., Anwar, K. N., Nishat, R. I., & Grande, R. E. D. (2026) · IEEE Vehicular Networking Conference (VNC) · doi:10.1109/vnc69225.2026.11629107
Tarek, S. (2026) · Civil Engineering and Architecture · doi:10.13189/cea.2026.140408
Sulle, M., Mwakalonge, J., Comert, G., Siuhi, S., & Mukwaya, A. (2026) · Simulation Modelling Practice and Theory · doi:10.1016/j.simpat.2026.103335
Ardyth, E. K. M., & Putra, E. P. (2026) · International Conference on Applying New Technology in Green Buildings (ATiGB) · doi:10.1109/atigb70203.2026.11628309
Zhang, S. (2026) · Journal of Environmental & Earth Sciences · doi:10.30564/jees.v8i8.13388
Kalfas, D., Kalogiannidis, S., Chatzitheodoridis, F., & Papavasileiou, A. (2026) · Urban Science · doi:10.3390/urbansci10080469
Khan, A., & Ali, J. (2026) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2026.115992
TrafficSense: A Machine Learning - Based Intelligent Traffic Management System
Murugaraj, S. S., Mallika, S. S., & Gayathri, C. (2026) · International Conference on Circuit, Power and Computing Technologies · doi:10.1109/iccpct70290.2026.11654853
Improved SHAP-guided ensemble framework for precise traffic flow prediction
Bouhali, A., Zeroual, A., & Harrou, F. (2026) · Intelligent Data Analysis · doi:10.1177/1088467x261477887
Development of An Artificial Neural Network-Based System to Detect Lane and Roadside Traffic Signs
Sonawane, V. R., Agarkar, B., & Chaudhari, S. (2026) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2026.0170843
Doostmohammadian, M., Shamsi, M., Zayyani, H., Meskin, N., Rabiee, H. R., Pequito, S., & Khan, U. A. (2026) · Annual Reviews in Control · doi:10.1016/j.arcontrol.2026.101071
Lee, Y.-J. (2026) · Information Systems Frontiers · doi:10.1007/s10796-026-10797-1
Holistic Intelligent Traffic Steering Management in Multi-RAT Vehicular Networks
Murshed, M., Carvalho, G. H. S., & Grande, R. E. D. (2026) · IEEE Transactions on Network and Service Management · doi:10.1109/tnsm.2026.3729840
Wu, Y., Gong, B., Zhu, H., Gong, M., Li, Z., Hu, J., & Meng, W. (2026) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2026.3721804
An interpretable recursive grey multi-frequency Fourier model for traffic flow forecasting
Yu, Z., Liu, L., Deng, F., & Fang, Z. (2026) · Grey Systems Theory and Application · doi:10.1108/gs-02-2026-0042
Alcantara, L. (2025) · Chalmers Research (Chalmers University of Technology)
Metadata
- Authors
- Elassy, M., Al-Hattab, M., Takruri, M., & Badawi, S.
- Affiliations
- Al Ain University (AE)
- American University of Ras Al Khaimah (AE)
- Applied Science Private University (JO)
- Venue
- Transportation Engineering
- Publisher
- Elsevier BV
- Published
- 2024-06
- Volume
- 16
- Pages
- 100252
- ISSN
- 2666-691X (ISSN-L)
- OpenAlex
- W4394790048
- Cited by
- 448
- References
- 47
- Citations by year
- 2026: 190 · 2025: 218 · 2024: 40
- FWCI
- 70.01
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Transportation Engineering (publishedVersion, cc-by-nc-nd)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Traffic control and management
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Vehicular Ad Hoc Networks (VANETs)
- Physical Sciences › Engineering › Civil and Structural Engineering › Road Transport and Highway Systems
- Keywords
- intelligent transportation systems, smart cities, sustainable transport, vehicular ad hoc networks, smart traffic lights, virtual traffic lights, mobility prediction, traffic management, autonomous vehicles, transport security, automotive industry standards, urbanization
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