Car following models for alleviating the degeneration of CACC function of CAVs in weak platoon intensity

References

• Bando, M., K. Hasebe, K. Nakanishi, and A. Nakayama. 1998. “Analysis of Optimal Velocity Model with Explicit Delay.” Physical Review E 58 (5): 5429. https://doi.org/10.1103/PhysRevE.58.5429.
   Web of Science ®Google Scholar
• Bando, M., K. Hasebe, A. Nakayama, A. Shibata, and Y. Sugiyama. 1995. “Dynamical Model of Traffic Congestion and Numerical Simulation.” Physical Review E 51 (2): 1035. https://doi.org/10.1103/PhysRevE.51.1035.
   PubMed Web of Science ®Google Scholar
• Chandler, R. E., R. Herman, and E. W. Montroll. 1958. “Traffic Dynamics: Studies in Car Following.” Operations Research 6 (2): 165–184. https://doi.org/10.1287/opre.6.2.165.
   Web of Science ®Google Scholar
• Feng, S., Z. Song, Z. Li, Y. Zhang, and L. Li. 2021. “Robust Platoon Control in Mixed Traffic Flow Based on Tube Model Predictive Control.” IEEE Transactions on Intelligent Vehicles 6 (4): 711–722. https://doi.org/10.1109/TIV.2021.3060626.
   Google Scholar
• Ghiasi, A., O. Hussain, Z. S. Qian, and X. Li. 2017. “A Mixed Traffic Capacity Analysis and Lane Management Model for Connected Automated Vehicles: A Markov Chain Method.” Transportation Research Part B: Methodological 106:266–292. https://doi.org/10.1016/j.trb.2017.09.022.
   Web of Science ®Google Scholar
• Gong, Y., and W. X. Zhu. 2022. “Modeling the Heterogeneous Traffic Flow Considering the Effect of Self-Stabilizing and Autonomous Vehicles.” Chinese Physics B 31 (2): 024502. https://doi.org/10.1088/1674-1056/ac2b18.
   Web of Science ®Google Scholar
• Guo, Y., J. Ma, E. Leslie, and Z. Huang. 2020. “Evaluating the Effectiveness of Integrated Connected Automated Vehicle Applications Applied to Freeway Managed Lanes.” IEEE Transactions on Intelligent Transportation Systems 23 (1): 522–536.
   Web of Science ®Google Scholar
• Helbing, D., and B. Tilch. 1998. “Generalized Force Model of Traffic Dynamics.” Physical Review E 58 (1): 133. https://doi.org/10.1103/PhysRevE.58.133.
   Web of Science ®Google Scholar
• Jiang, R., and Q. S. Wu. 2006. “The Adaptive Cruise Control Vehicles in the Cellular Automata Model.” Physics Letters A 359 (2): 99–102. https://doi.org/10.1016/j.physleta.2006.06.015.
   Web of Science ®Google Scholar
• Jiang, R., Q. Wu, and Z. Zhu. 2001. “Full Velocity Difference Model for a Car-Following Theory.” Physical Review E 64 (1): 017101. https://doi.org/10.1103/PhysRevE.64.017101.
   Web of Science ®Google Scholar
• Jin, I. G., and G. Orosz. 2014. “Dynamics of Connected Vehicle Systems with Delayed Acceleration Feedback.” Transportation Research Part C: Emerging Technologies 46:46–64. https://doi.org/10.1016/j.trc.2014.04.014.
   Web of Science ®Google Scholar
• Kesting, A., M. Treiber, and D. Helbing. 2010. “Enhanced Intelligent Driver Model to Access the Impact of Driving Strategies on Traffic Capacity.” Philosophical Transactions of the Royal Society A: Mathematical, Physical & Engineering Sciences 368 (1928): 4585–4605. https://doi.org/10.1098/rsta.2010.0084.
   PubMed Web of Science ®Google Scholar
• Levine, W. S., and M. Athans. 1966. “On the Optimal Error Regulation of a String of Moving Vehicles.” IEEE Transactions on Automatic Control 11 (3): 355–361. https://doi.org/10.1109/TAC.1966.1098376.
   Google Scholar
• Li, P. Y., and A. Shrivastava. 2002. “Traffic Flow Stability Induced by Constant Time Headway Policy for Adaptive Cruise Control Vehicles.” Transportation Research Part C: Emerging Technologies 10 (4): 275–301. https://doi.org/10.1016/S0968-090X(02)00004-9.
   Web of Science ®Google Scholar
• Milanés, V., and S. E. Shladover. 2014. “Modeling Cooperative and Autonomous Adaptive Cruise Control Dynamic Responses Using Experimental Data.” Transportation Research Part C: Emerging Technologies 48:285–300. https://doi.org/10.1016/j.trc.2014.09.001.
   Web of Science ®Google Scholar
• Mo, Z., R. Shi, and X. Di. 2021. “A Physics-Informed Deep Learning Paradigm for Car-Following Models.” Transportation Research Part C: Emerging Technologies 130:103240. https://doi.org/10.1016/j.trc.2021.103240.
   Web of Science ®Google Scholar
• Navas, F., and V. Milanés. 2019. “Mixing V2V-And Non-V2V-Equipped Vehicles in Car Following. Transportation Research Part C: Emerging Technologies.” Transportation Research Part C: Emerging Technologies 108:167–181. https://doi.org/10.1016/j.trc.2019.08.021.
   Web of Science ®Google Scholar
• Newell, G. F. 1961. “Nonlinear Effects in the Dynamics of Car Following.” Operations Research 9 (2): 209–229. https://doi.org/10.1287/opre.9.2.209.
   Web of Science ®Google Scholar
• Pananurak, W., S. Thanok, & M. Parnichkun 2009, February. Adaptive Cruise Control for an Intelligent Vehicle. In 2008 IEEE International Conference on Robotics and Biomimetics. Bangkok, Thailand. (pp. 1794–1799). IEEE.
   Google Scholar
• Park, J., D. Sung, & W. S. Lee 2006, October. A Driving Simulator Study on Adaptive Cruise Control Failure. In 2006 SICE-ICASE International Joint Conference. Busan, Korea (South). (pp. 2138–2141). IEEE.
   Google Scholar
• Peng, G. H., T. T. Jia, H. Kuang, H. L. Tan, and T. Chen. 2022. “A Novel Car-Following Model by Sharing Cooperative Information Transmission Delayed Effect Under V2X Environment and Its Additional Energy Consumption.” Chinese Physics B 31 (5): 058901. https://doi.org/10.1088/1674-1056/ac422a.
   Web of Science ®Google Scholar
• Pipes, L. A. 1953. “An Operational Analysis of Traffic Dynamics.” Journal of Applied Physics 24 (3): 274–281. https://doi.org/10.1063/1.1721265.
   Web of Science ®Google Scholar
• Post, J., J. Veldstra, and B. Ünal (2021). Acceptability and Acceptance of Connected Automated Vehicles: A Literature Review and Focus Groups. In H. P. Silva, L. Constantine, and A. Holzinger (edited by), Proceedings of the 5th International Conference on Computer-Human Interaction Research and Applications (CHIRA 2021) (pp. 223–231 https://doi.org/10.5220/0010719200003060It’s). SciTePress. location is Valletta, Malta
   Google Scholar
• Qin, Y. Y., Z. Y. He, and B. Ran. 2019. “Rear-End Crash Risk of CACC-Manual Driven Mixed Flow Considering the Degeneration of CACC Systems.” IEEE Access 7:140421–140429. https://doi.org/10.1109/ACCESS.2019.2941496.
   Web of Science ®Google Scholar
• Qin, Y., and H. Wang. 2018. “Analytical Framework of String Stability of Connected and Autonomous Platoons with Electronic Throttle Angle Feedback.” Transportmetrica A: Transport Science 17 (1): 59–80. https://doi.org/10.1080/23249935.2018.1518964.
   Google Scholar
• Saifuzzaman, M., and Z. Zheng. 2014. “Incorporating Human-Factors in Car-Following Models: A Review of Recent Developments and Research Needs.” Transportation Research Part C: Emerging Technologies 48:379–403. https://doi.org/10.1016/j.trc.2014.09.008.
   Web of Science ®Google Scholar
• Tang, T. Q., Y. Gui, and J. Zhang. 2021. “ATAC-Based Car-Following Model for Level 3 Autonomous Driving Considering Driver’s Acceptance.” IEEE Transactions on Intelligent Transportation Systems 23 (8): 10309–10321.
   Web of Science ®Google Scholar
• Treiber, M., A. Hennecke, and D. Helbing. 2000. “Congested Traffic States in Empirical Observations and Microscopic Simulations.” Physical Review E 62 (2): 1805. https://doi.org/10.1103/PhysRevE.62.1805.
   PubMed Web of Science ®Google Scholar
• Wang, C., S. Gong, A. Zhou, T. Li, and S. Peeta. 2019. “Cooperative Adaptive Cruise Control for Connected Autonomous Vehicles by Factoring Communication-Related Constraints.” Transportation Research Procedia 38:242–262. https://doi.org/10.1016/j.trpro.2019.05.014.
   Google Scholar
• Wang, J., S. Peeta, and X. He. 2019. “Multiclass Traffic Assignment Model for Mixed Traffic Flow of Human-Driven Vehicles and Connected and Autonomous Vehicles.” Transportation Research Part B: Methodological 126:139–168. https://doi.org/10.1016/j.trb.2019.05.022.
   Web of Science ®Google Scholar
• Wang, H., Y. Qin, W. Wang, and J. Chen. 2019. “Stability of CACC-Manual Heterogeneous Vehicular Flow with Partial CACC Performance Degrading.” Transportmetrica B: Transport Dynamics 7 (1): 788–813. https://doi.org/10.1080/21680566.2018.1517058.
   Web of Science ®Google Scholar
• Wang, S., B. Yu, and M. Wu. 2021. “MVCM Car-Following Model for Connected Vehicles and Simulation-Based Traffic Analysis in Mixed Traffic Flow.” IEEE Transactions on Intelligent Transportation Systems 23 (6): 5267–5274.
   Web of Science ®Google Scholar
• Wiedemann, R., 1974. Simulation des StraBenverkehrsflusses. In: Proceedings of the Schriftenreihe des tnstituts fir Verkehrswesen der Universitiit Karlsruhe, Germany.
   Google Scholar
• Yanakiev, D., and I. Kanellakopoulos. 1998. “Nonlinear Spacing Policies for Automated Heavy-Duty Vehicles.” IEEE Transactions on Vehicular Technology 47 (4): 1365–1377. https://doi.org/10.1109/25.728529.
   Web of Science ®Google Scholar
• Yu, L., and R. Wang. 2022. “Researches on Adaptive Cruise Control System: A State of the Art Review.” Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 236 (2–3): 211–240. https://doi.org/10.1177/09544070211019254.
   Web of Science ®Google Scholar
• Zhang, J., Y. Wang, G. Lu, & W. Long 2017, August. Analysis String Stability of a New Car-Following Model Considering Response Time. In 2017 13th IEEE Conference on Automation Science and Engineering (CASE). Xi'an, China. (pp. 853–857). IEEE.
   Google Scholar
• Zhou, J., and H. Peng. 2005. “Range Policy of Adaptive Cruise Control Vehicles for Improved Flow Stability and String Stability.” IEEE Transactions on Intelligent Transportation Systems 6 (2): 229–237. https://doi.org/10.1109/TITS.2005.848359.
   Web of Science ®Google Scholar
• Zhou, J., Z. K. Shi, and J. L. Cao. 2014. “Nonlinear Analysis of the Optimal Velocity Difference Model with Reaction-Time Delay.” Physica A: Statistical Mechanics and Its Applications 396:77–87. https://doi.org/10.1016/j.physa.2013.11.007.
   Web of Science ®Google Scholar
• Zhu, M., Y. Wang, Z. Pu, J. Hu, X. Wang, and R. Ke. 2020. “Safe, Efficient, and Comfortable Velocity Control Based on Reinforcement Learning for Autonomous Driving.” Transportation Research Part C: Emerging Technologies 117:102662. https://doi.org/10.1016/j.trc.2020.102662.
   Web of Science ®Google Scholar