The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Impacts of Cooperative Adaptive Cruise Control on Freeway Traffic Flow
Abstract
This study used microscopic simulation to estimate the effect on highway capacity of varying market penetrations of vehicles with adaptive cruise control (ACC) and cooperative adaptive cruise control (CACC). Because the simulation used the distribution of time gap settings that drivers from the general public used in a real field experiment, this study was the first on the effects of ACC and CACC on traffic to be based on real data on driver usage of these types of controls. The results showed that the use of ACC was unlikely to change lane capacity significantly. However, CACC was able to increase capacity greatly after its market penetration reached moderate to high percentages. The capacity increase could be accelerated by equipping non-ACC vehicles with vehicle awareness devices so that they could serve as the lead vehicles for CACC vehicles.
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
“Driverless vehicles in communication with each other will be able to safely reduce the distance between vehicles because all members of the resulting 'convoy' will be able to brake or accelerate simultaneously as required (Shladover et al., 2012; Fagnant and Kockelman, 2015a, p. 170; Gordon and Lidberg, 2015, p. 970).”
From When human beings are like drunk robots: Driverless vehicles, ethics, and the future of transport (2017) · cites this paper as Shladover et al., 2012
Citations
Cites
The Impact of Cooperative Adaptive Cruise Control on Traffic-Flow Characteristics
van Arem, B., Driel, C. J. G. V., & Visser, R. (2006) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2006.884615 · Cited by 1,548
Enhanced intelligent driver model to access the impact of driving strategies on traffic capacity
Kesting, A., Treiber, M., & Helbing, D. (2010) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.2010.0084 · Cited by 845
Adaptive Cruise Control Design for Active Congestion Avoidance
Kesting, A., Treiber, M., Schönhof, M., & Helbing, D. (2008) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2007.12.004 · Cited by 610
Enhanced intelligent driver model to access the impact of driving strategies on traffic capacityPreprint
Kesting, A., Treiber, M., & Helbing, D. (1928) · Cited by 516
Transportation Research Record: Journal of the Transportation Research Board, No. 1979
(2006) · Transportation Research Record Journal of the Transportation Research Board · doi:10.3141/1979-01 · Cited by 411
Effects of Cooperative Adaptive Cruise Control on traffic flow stability
Schakel, W., van Arem, B., & Netten, B. D. (2010) · IEEE International Conference on Intelligent Transportation Systems (ITSC) · doi:10.1109/itsc.2010.5625133 · Cited by 286
Effects of Adaptive Cruise Control Systems on Highway Traffic Flow Capacity
Werf, J. V., Shladover, S. E., Miller, M. A., & Kourjanskaia, N. (2002) · Transportation Research Record Journal of the Transportation Research Board · doi:10.3141/1800-10 · Cited by 267
Self-citationNowakowski, C., O'Connell, J., Shladover, S. E., & Cody, D. (2010) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/154193121005402403 · Cited by 140
Self-citationExtending Adaptive Cruise Control to Adaptive Driving Strategies
Kesting, A., Treiber, M., Schönhof, M., & Helbing, D. (2007) · Transportation Research Record Journal of the Transportation Research Board · doi:10.3141/2000-03 · Cited by 124
Oversaturated Freeway Flow Algorithm for Use in Next Generation Simulation
Yeo, H., Skabardonis, A., Halkias, J., Colyar, J. D., & Alexiadis, V. (2008) · Transportation Research Record Journal of the Transportation Research Board · doi:10.3141/2088-08 · Cited by 97
Flagged first, then by citations
Research works printed but not linked: 4
- 2009, Aimsun Users Manual.
- 2009, Microsimulator and Mesosimulator in Aimsun 6 User's Manual.
- 2009, Aimsun Microsimulator API Manual.
- 2008, Aimsun Microscopic Simulator Behavioural Models SDK.
Cited by
Sorted by citations
Items 201–300 of 887
Predictor-Based Adaptive Cruise Control Design
Bekiaris-Liberis, N. K., Roncoli, C., & Papageorgiou, M. (2017) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2017.2771501 · Cited by 50
Dynamic traffic assignment of cooperative adaptive cruise control
Melson, C. L., Levin, M. W., Hammit, B. E., & Boyles, S. D. (2018) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2018.03.002 · Cited by 50
Carpooling in Connected and Autonomous Vehicles: Current Solutions and Future Directions
Zafar, F., Khattak, H. A., Aloqaily, M., & Hussain, R. (2022) · ACM Computing Surveys · doi:10.1145/3501295 · Cited by 51
Ding, H., Di, Y., Zheng, X., Bai, H., & Zhang, W. (2021) · Transportmetrica B Transport Dynamics · doi:10.1080/21680566.2021.1887774 · Cited by 49
Chen, S., Wang, H., Ling, X., & Meng, Q. (2022) · Transportation Research Part E Logistics and Transportation Review · doi:10.1016/j.tre.2022.102650 · Cited by 49
Faber, T., Sharma, S., Snelder, M., Klunder, G. A., Tavasszy, L. A., & van Lint, H. (2020) · Transportation Research Record Journal of the Transportation Research Board · doi:10.1177/0361198120935443 · Cited by 48
A Review of Vehicle Group Intelligence in a Connected Environment
Wu, C., Cai, Z., He, Y. F., & Lu, X. (2023) · IEEE Transactions on Intelligent Vehicles · doi:10.1109/tiv.2023.3321891 · Cited by 48
Self-citationPapamichail, I., Bekiaris-Liberis, N. K., Delis, A. I., Manolis, D., Mountakis, K. S., Nikolos, I. K., Roncoli, C., & Papageorgiou, M. (2019) · Annual Reviews in Control · doi:10.1016/j.arcontrol.2019.09.002 · Cited by 48
Improving Urban Traffic Throughput With Vehicle Platooning: Theory and Experiments
Smith, S. W., Kim, Y., Guanetti, J., Li, R., Firoozi, R., Wootton, B., Kurzhanskiy, A. A., Borrelli, F., Horowitz, R., & Arcak, M. (2020) · IEEE Access · doi:10.1109/access.2020.3012618 · Cited by 48
Chen, D., Srivastava, A., & Ahn, S. (2021) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2020.102950 · Cited by 48
Influence of CAVs platooning on intersection capacity under mixed traffic
Wu, Y., Wang, D. Z. W., & Zhu, F. (2022) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2022.126989 · Cited by 48
Dong, H., Zhuang, W., Chen, B., Wang, Y., Lu, Y., Liu, Y., Xu, L., & Yin, G. (2022) · Applied Energy · doi:10.1016/j.apenergy.2022.118524 · Cited by 47
CACC Simulation Platform Designed for Urban Scenes
Hu, J. S., Sun, S., Lai, J., Wang, S., Chen, Z., & Liu, T. (2023) · IEEE Transactions on Intelligent Vehicles · doi:10.1109/tiv.2023.3234890 · Cited by 47
Review on the impacts of cooperative automated driving on transportation and environment
Zhang, Z., Liu, H., Lei, M., Yan, X., Wang, M., & Hu, J. S. (2023) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2023.103607 · Cited by 47
Building a Large-Scale Micro-Simulation Transport Scenario Using Big Data
Schweizer, J., Poliziani, C., Rupi, F., Morgano, D., & Magi, M. (2021) · ISPRS International Journal of Geo-Information · doi:10.3390/ijgi10030165 · Cited by 47
Implementing commercial autonomous road haulage in freight operations: An industry perspective
Sindi, S., & Woodman, R. (2021) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2021.08.003 · Cited by 46
Extending ramp metering control to mixed autonomy traffic flow with varying degrees of automation
Shang, M., Wang, S., & Stern, R. (2023) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2023.104119 · Cited by 46
Modeling the Proactive Driving Behavior of Connected Vehicles: A Cell‐Based Simulation Approach
Zhu, F., & Ukkusuri, S. V. (2017) · Computer-Aided Civil and Infrastructure Engineering · doi:10.1111/mice.12289 · Cited by 46
Physics-augmented models to simulate commercial adaptive cruise control (ACC) systems
He, Y., Montanino, M., Mattas, K., Punzo, V., & Ciuffo, B. (2022) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2022.103692 · Cited by 46
Maximization of Platoon Formation Through Centralized Routing and Departure Time Coordination
Sokolov, V., Larson, J. M., Munson, T., Auld, J., & Karbowski, D. (2017) · Transportation Research Record Journal of the Transportation Research Board · doi:10.3141/2667-02 · Cited by 45
Madadi, B., van Nes, R., Snelder, M., & van Arem, B. (2019) · Computer-Aided Civil and Infrastructure Engineering · doi:10.1111/mice.12498 · Cited by 45
What we know and do not know about connected and autonomous vehicles
Rashidi, T. H., Najmi, A., Haider, A., Wang, C. I., & Hosseinzadeh, F. (2020) · Transportmetrica A Transport Science · doi:10.1080/23249935.2020.1720860 · Cited by 48
Nogués, S., González-González, E., & Cordera, R. (2020) · Land Use Policy · doi:10.1016/j.landusepol.2020.104652 · Cited by 45
Fundamental diagrams of commercial adaptive cruise control: Worldwide experimental evidence
Li, T., Chen, D., Zhou, H., Xie, Y., & Laval, J. A. (2021) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2021.103458 · Cited by 44
A mixed capacity analysis and lane management model considering platoon size and intensity of CAVs
Jiang, Y., Sun, S., Zhu, F., Wu, Y., & Yao, Z. (2023) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2023.128557 · Cited by 44
Systematic Literature Review: Anomaly Detection in Connected and Autonomous Vehicles
Solaas, J. R. V., Mariconti, E., & Tuptuk, N. (2024) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2024.3495031 · Cited by 56
Platooning Strategy for Connected and Autonomous Vehicles: Transition from Light Traffic
Bang, S., & Ahn, S. (2017) · Transportation Research Record Journal of the Transportation Research Board · doi:10.3141/2623-08 · Cited by 44
Perraki, G., Roncoli, C., Papamichail, I., & Papageorgiou, M. (2018) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2018.05.002 · Cited by 44
Sadid, H., & Antoniou, C. (2023) · IET Intelligent Transport Systems · doi:10.1049/itr2.12337 · Cited by 43
Lee, J., Wang, H., Jang, K., Lichtlé, N., Hayat, A., Bunting, M., Alanqary, A., Barbour, W., Fu, Z., Gong, X., et al. (2025) · IEEE Control Systems · doi:10.1109/mcs.2024.3498552 · Cited by 54
Potential Influences on Long-Term Service Performance of Road Infrastructure by Automated Vehicles
Chen, F., Balieu, R., & Kringos, N. (2016) · Transportation Research Record Journal of the Transportation Research Board · doi:10.3141/2550-10 · Cited by 43
Zhong, Z., & Lee, J. (2019) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2019.08.015 · Cited by 43
Impact of Autonomous Vehicles on Traffic Management: Case of Dynamic Lane Reversal
Duell, M., Levin, M. W., Boyles, S. D., & Waller, S. T. (2016) · Transportation Research Record Journal of the Transportation Research Board · doi:10.3141/2567-10 · Cited by 42
Simulation of the penetration rate effects of ACC and CACC on macroscopic traffic dynamics
Delis, A. I., Nikolos, I. K., & Papageorgiou, M. (2016) · IEEE International Conference on Intelligent Transportation Systems (ITSC) · doi:10.1109/itsc.2016.7795576 · Cited by 42
Adaptive Cruise Control Operation for Improved Motorway Traffic Flow
Spiliopoulou, A., Manolis, D., Vandorou, F., & Papageorgiou, M. (2018) · Transportation Research Record Journal of the Transportation Research Board · doi:10.1177/0361198118796020 · Cited by 42
Lane density optimisation of automated vehicles for highway congestion control
Ramezani, M., & Ye, E. (2019) · Transportmetrica B Transport Dynamics · doi:10.1080/21680566.2019.1568925 · Cited by 42
Kerner, B. S. (2020) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2020.125315 · Cited by 42
Guo, Y., & Ma, J. (2020) · Transportmetrica A Transport Science · doi:10.1080/23249935.2020.1720863 · Cited by 41
Estimating reaction time in Adaptive Cruise Control System
Makridis, M., Mattas, K., Borio, D., Giuliani, R., & Ciuffo, B. (2018) · IEEE Intelligent Vehicles Symposium · doi:10.1109/ivs.2018.8500490 · Cited by 41
Traffic Flow Impacts of Converting an HOV Lane Into a Dedicated CACC Lane on a Freeway Corridor
Xiao, L., Wang, M., & van Arem, B. (2019) · IEEE Intelligent Transportation Systems Magazine · doi:10.1109/mits.2019.2953477 · Cited by 41
Hua, X., Yu, W., Wang, W., & Xie, W. (2020) · Journal of Advanced Transportation · doi:10.1155/2020/3968625 · Cited by 41
He, S., Guo, X., Ding, F., Qi, Y., & Chen, T. (2020) · Journal of Advanced Transportation · doi:10.1155/2020/1361583 · Cited by 42
Network-wide safety impacts of dedicated lanes for connected and autonomous vehicles
Sha, H., Singh, M. K., Haouari, R., Papazikou, E., Quddus, M., Quigley, C., Chaudhry, A., Thomas, P., Weijermars, W., & Morris, A. P. (2023) · Accident Analysis & Prevention · doi:10.1016/j.aap.2023.107424 · Cited by 40
Pigouvian road congestion pricing under autonomous driving mode choice
Tscharaktschiew, S., & Evangelinos, C. (2019) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2019.02.004 · Cited by 41
Wang, Z., Wu, G., Hao, P., & Barth, M. (2018) · IEEE Transactions on Intelligent Vehicles · doi:10.1109/tiv.2018.2873912 · Cited by 40
Qin, Y., Wang, H., & Ran, B. (2018) · KSCE Journal of Civil Engineering · doi:10.1007/s12205-018-1990-6 · Cited by 39
Yu, M., & Fan, W. D. (2019) · Journal of Transportation Engineering Part A Systems · doi:10.1061/jtepbs.0000227 · Cited by 39
Microsimulation of energy and flow effects from optimal automated driving in mixed traffic
Ard, T., Dollar, R. A., Vahidi, A., Zhang, Y., & Karbowski, D. (2020) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2020.102806 · Cited by 39
Modeling traffic flow mixed with automated vehicles considering drivers ’ character difference
Zhu, H., Zhou, Y., & Wu, W. (2020) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2020.124337 · Cited by 39
Adebisi, A., Liu, Y., Schroeder, B. J., Ma, J., Cesme, B., Jia, A., & Morgan, A. (2020) · Transportation Research Record Journal of the Transportation Research Board · doi:10.1177/0361198120934797 · Cited by 39
Madadi, B., van Nes, R., Snelder, M., & van Arem, B. (2021) · Journal of Advanced Transportation · doi:10.1155/2021/8853583 · Cited by 39
Nadafianshahamabadi, R., Tayarani, M., & Rowangould, G. M. (2021) · Journal of Transport Geography · doi:10.1016/j.jtrangeo.2021.103113 · Cited by 45
Influence of CAVs platoon characteristics on fundamental diagram of mixed traffic flow
Jiang, Y., Zhu, F., Gu, Q., Wu, Y., Wen, X., & Yao, Z. (2023) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2023.128906 · Cited by 38
Cybersecurity on Connected and Automated Transportation Systems: A Survey
Abdo, A., Chen, H., Zhao, X., Wu, G., & Feng, Y. (2023) · IEEE Transactions on Intelligent Vehicles · doi:10.1109/tiv.2023.3326736 · Cited by 40
Interaction Protocols for Cooperative Merging and Lane Reduction Scenarios
Semsar-Kazerooni, E., & Ploeg, J. (2015) · IEEE International Conference on Intelligent Transportation Systems (ITSC) · doi:10.1109/itsc.2015.318 · Cited by 38
Kloostra, B., & Roorda, M. J. (2019) · Transportation Planning and Technology · doi:10.1080/03081060.2019.1565159 · Cited by 38
Assessing the Impact of Connected and Automated Vehicles. A Freeway Scenario
Makridis, M., Mattas, K., Ciuffo, B., Raposo, M. A., & Thiel, C. (2017) · Lecture notes in mobility · doi:10.1007/978-3-319-66972-4_18 · Cited by 38
Cell Transmission Model for Mixed Traffic Flow with Connected and Autonomous Vehicles
Qin, Y., & Wang, H. (2019) · Journal of Transportation Engineering Part A Systems · doi:10.1061/jtepbs.0000238 · Cited by 38
Benefits of travel time savings by truck platooning in Korean freeway networks
Young, J. O., Kim, J., Oh, C. H., Kim, I., & Lee, G. (2019) · Transport Policy · doi:10.1016/j.tranpol.2019.09.003 · Cited by 38
Zhu, L., Tang, Y., & Yang, D. (2021) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2021.126368 · Cited by 38
Donà, R., Mattas, K., He, Y., Albano, G., & Ciuffo, B. (2022) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2022.103687 · Cited by 38
Guo, Y., Ma, J., Leslie, E. M., & Huang, Z. (2020) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2020.3012678 · Cited by 37
String Stability Analysis of Mixed CACC Vehicular Flow With Vehicle-to-Vehicle Communication
Qin, Y., & Li, S. (2020) · IEEE Access · doi:10.1109/access.2020.3026205 · Cited by 37
A review of the development trend of adaptive cruise control for ecological driving
Pan, C., Huang, A., Chen, L., Cai, Y., Chen, L., Liang, J. S., & Zhou, W. (2021) · Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering · doi:10.1177/09544070211049068 · Cited by 37
Zhang, F., Lu, J. J., Hu, X., & Meng, Q. (2023) · Transportation Research Part B Methodological · doi:10.1016/j.trb.2023.102784 · Cited by 36
Bayar, B., Sajadi-Alamdari, S. A., Viti, F., & Voos, H. (2016) · Mediterranean Conference on Control and Automation (MED) · doi:10.1109/med.2016.7535939 · Cited by 36
An, S., Xu, L., Qian, L., Chen, G., Luo, H., & Li, F. (2020) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2020.125246 · Cited by 36
Platoon Merging Approach Based on Hybrid Trajectory Planning and CACC Strategies
Hidalgo, C., Lattarulo, R. A., Flores, C., & Perez, J. (2021) · Sensors · doi:10.3390/s21082626 · Cited by 36
Song, L., & Fan, W. D. (2021) · IEEE Access · doi:10.1109/access.2021.3123273 · Cited by 39
Real Time Estimation of Drivers' Behaviour
Monteil, J., O'Hara, N., Cahill, V., & Bouroche, M. (2015) · IEEE International Conference on Intelligent Transportation Systems (ITSC) · doi:10.1109/itsc.2015.331 · Cited by 36
Ma, L., Qu, S., Ren, J., & Zhang, X. (2022) · Mathematical Biosciences & Engineering · doi:10.3934/mbe.2023107 · Cited by 36
A new adaptive cruise control strategy and its stabilization effect on traffic flow
Lu, C., & Aakre, A. (2018) · European Transport Research Review · doi:10.1186/s12544-018-0321-9 · Cited by 35
Freeway network design with exclusive lanes for automated vehicles under endogenous mobility demand
Chakraborty, S., Rey, D., Levin, M. W., & Waller, S. T. (2021) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2021.103440 · Cited by 37
Wang, H., Li, X., Zhang, X., Hu, J. S., Yan, X., & Feng, Y. (2022) · Journal of Intelligent Transportation Systems · doi:10.1080/15472450.2022.2114081 · Cited by 35
Potential impact of autonomous vehicles in mixed traffic from simulation using real traffic flow
Andreotti, E., Selpi, S., & Boyraz, P. (2023) · Journal of Intelligent and Connected Vehicles · doi:10.26599/jicv.2023.9210001 · Cited by 34
Microscopic traffic simulation models for connected and automated vehicles (CAVs) – state-of-the-art
Góra, P., Katrakazas, C., Drabicki, A., Islam, F., & Ostaszewski, P. (2020) · Procedia Computer Science · doi:10.1016/j.procs.2020.03.091 · Cited by 34
Network user equilibrium problems with infrastructure-enabled autonomy
Liu, Z., Chen, Z., He, Y. F., & Song, Z. (2021) · Transportation Research Part B Methodological · doi:10.1016/j.trb.2021.07.005 · Cited by 34
Gong, B., Wang, F., Lin, C., & Wu, D. J. (2022) · Sustainability · doi:10.3390/su14105899 · Cited by 34
Linear internal stability for mixed traffic flow of CAVs with different automation levels
Yao, Z., Deng, H. W., Chen, Z., He, X., Ai, Y., & Wu, Y. (2024) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2024.129759 · Cited by 33
Dolk, V. S., den Ouden, J., Steeghs, S., Devanesan, J. G., Badshah, I., Sudhakaran, A., Elferink, K., & Chakraborty, D. (2017) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2017.2750079 · Cited by 33
de Souza, F., & Stern, R. (2020) · Journal of Transportation Engineering Part A Systems · doi:10.1061/jtepbs.0000475 · Cited by 33
Macroscopic Traffic Simulation of Autonomous Vehicle Effects
Obaid, M., & Török, Á. (2021) · Vehicles · doi:10.3390/vehicles3020012 · Cited by 33
Fault Tolerance of Cooperative Vehicle Platoons Subject to Communication Delay
Ploeg, J., van de Wouw, N., & Nijmeijer, H. (2015) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2015.09.403 · Cited by 32
Capacity Predictions and Capacity Passenger Car Equivalents of Platooning Vehicles on Basic Segments
Bujanović, P., & Lochrane, T. W. P. (2018) · Journal of Transportation Engineering Part A Systems · doi:10.1061/jtepbs.0000188 · Cited by 32
Assessment of ACC and CACC systems using SUMO
Porfyri, K. N., Mintsis, E., & Mitsakis, E. (2018) · EPiC series in engineering · doi:10.29007/r343 · Cited by 32
Assessing environmental impacts of ad-hoc truck platooning on multilane freeways
Bibeka, A., Songchitruksa, P., & Zhang, Y. (2019) · Journal of Intelligent Transportation Systems · doi:10.1080/15472450.2019.1608441 · Cited by 32
Lane Management with Variable Lane Width and Model Calibration for Connected Automated Vehicles
Ghiasi, A., Hussain, O., Qian, S., & Li, X. S. (2019) · Journal of Transportation Engineering Part A Systems · doi:10.1061/jtepbs.0000283 · Cited by 32
Deploying dedicated lanes for connected and autonomous buses in urban transportation networks
Zhang, L., Qian, G., Song, Z., & Wang, D. (2022) · Transportmetrica A Transport Science · doi:10.1080/23249935.2021.2005181 · Cited by 32
Shared vs. dedicated lanes for automated vehicle deployment: A simulation-based assessment
Hamad, K., & Alozi, A. R. (2022) · International Journal of Transportation Science and Technology · doi:10.1016/j.ijtst.2022.03.001 · Cited by 33
Fully Distributed Optimization-Based CAV Platooning Control Under Linear Vehicle Dynamics
Shen, J., Kammara, E. K. H., & Du, L. (2022) · Transportation Science · doi:10.1287/trsc.2021.1100 · Cited by 32
Yue, W., Li, C., Duan, P., & Yu, F. R. (2023) · IEEE Internet of Things Journal · doi:10.1109/jiot.2023.3299934 · Cited by 32
An Ecological Adaptive Cruise Control for Mixed Traffic and Its Stabilization Effect
Lu, C., Dong, J., Hu, L., & Liu, C. (2019) · IEEE Access · doi:10.1109/access.2019.2923741 · Cited by 31
Multi-Vehicle Trajectory Design During Cooperative Adaptive Cruise Control Platoon Formation
Wang, Q., Yang, X. “., Huang, Z., & Yuan, Y. L. (2020) · Transportation Research Record Journal of the Transportation Research Board · doi:10.1177/0361198120913290 · Cited by 31
Chen, N., van Arem, B., & Wang, M. (2022) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2022.3167727 · Cited by 31
Shared Autonomous Vehicles: A Review Considering Car Sharing and Autonomous Vehicles
Hao, M., & Yamamoto, T. (2018) · Asian Transport Studies · doi:10.11175/eastsats.5.47 · Cited by 31
Luo, L., Liu, Y., Feng, Y., Liu, H. X., & Ge, Y.-E. (2023) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2023.104449 · Cited by 30
Cooperative optimal output regulation of multi-agent systems using adaptive dynamic programming
Gao, W., Jiang, Z., Lewis, F. L., & Wang, Y. (2017) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.23919/acc.2017.7963356 · Cited by 30
Real time adaptive cruise control strategy for motorways
Manolis, D., Spiliopoulou, A., Vandorou, F., & Papageorgiou, M. (2020) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2020.102617 · Cited by 30
Sharma, A., & Zheng, Z. (2021) · Advances in 21st century human settlements · doi:10.1007/978-981-15-8670-5_11 · Cited by 31
Khelfa, B., Ba, I., & Tordeux, A. (2023) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2023.128471 · Cited by 30
Metadata
- Authors
- Shladover, S. E., Su, D., & Lu, X.-Y.
- Affiliations
- University of California, Berkeley (US)
- Corresponding author
- Shladover, Steven E.
- Venue
- Transportation Research Record: Journal of the Transportation Research Board
- Publisher
- SAGE Publications
- Published
- 2012-01
- Volume
- 2324
- Issue
- 1
- Pages
- 63-70
- ISSN
- 0361-1981 (ISSN-L)
- 2169-4052
- OpenAlex
- W1991095535
- Cited by
- 887
- References
- 17
- Citations by year
- 2026: 53 · 2025: 78 · 2024: 77 · 2023: 84 · 2022: 98 · 2021: 118 · 2020: 109 · 2019: 85 · 2018: 70 · 2017: 50 · 2016: 31 · 2015: 23 · 2014: 6 · 2013: 4
- FWCI
- 15.30
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Transportation Research Record Journal of the Transportation Research Board (publishedVersion)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Traffic control and management
- Social Sciences › Human Factors and Ergonomics › Human-Automation Interaction and Safety
- Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Traffic and Road Safety
- Keywords
- cooperative adaptive cruise control, adaptive cruise control, freeway traffic flow, road capacity, market penetration, microscopic traffic simulation, lane capacity, driver behavior
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