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A comprehensive assessment of connected and automated vehicle analytical, modeling, and simulation tools

Author

Listed:
  • Long, Keke
  • Ma, Ke
  • Li, Qianwen
  • Li, Xiaopeng
  • Huang, Zhitong
  • James, Rachel
  • Ghiasi, Amir

Abstract

Connected and Automated Vehicles (CAVs) promise to redefine the future of transportation. Infrastructure Owners and Operators (IOOs require advanced analytical, modeling, and simulation (AMS) tools) to grasp the impact of CAVs on their strategic goals, such as improving safety, enhancing mobility, and advancing equity, and assess policy modifications to steer the deployment of this technology effectively. Although recent research has made strides in developing models that characterize CAV behavior in mixed-traffic scenarios, significant modeling gaps persist. These gaps hinder decision-makers and policymakers from fully understanding how CAVs can serve as an instrumental force in driving desired improvements in transportation system performance. This study aims to identify these gaps by organizing two stakeholder webinars that focus on CAV AMS tools. The discussions from these webinars are categorized into three primary areas: CAV technologies, road user behaviors, and system-level modeling. This categorization helps structure an in-depth literature review designed to pinpoint existing shortcomings in CAV research. The study also provides an overview of current datasets that are both representative and capable of addressing some of these research gaps. Ultimately, this study seeks to act as a valuable reference for directing future research efforts in CAVs.

Suggested Citation

  • Long, Keke & Ma, Ke & Li, Qianwen & Li, Xiaopeng & Huang, Zhitong & James, Rachel & Ghiasi, Amir, 2025. "A comprehensive assessment of connected and automated vehicle analytical, modeling, and simulation tools," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 196(C).
    • Handle: RePEc:eee:transe:v:196:y:2025:i:c:s1366554525000481
    DOI: 10.1016/j.tre.2025.104007
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    1. Hanjie Hu & Yu Wu & Jinfa Xu & Qingyun Sun, 2018. "Path Planning for Autonomous Landing of Helicopter on the Aircraft Carrier," Mathematics, MDPI, vol. 6(10), pages 1-20, September.
    2. Millard-Ball, Adam, 2019. "The autonomous vehicle parking problem," Transport Policy, Elsevier, vol. 75(C), pages 99-108.
    3. Zhou, Fang & Li, Xiaopeng & Ma, Jiaqi, 2017. "Parsimonious shooting heuristic for trajectory design of connected automated traffic part I: Theoretical analysis with generalized time geography," Transportation Research Part B: Methodological, Elsevier, vol. 95(C), pages 394-420.
    4. Jia, Dongyao & Ngoduy, Dong, 2016. "Enhanced cooperative car-following traffic model with the combination of V2V and V2I communication," Transportation Research Part B: Methodological, Elsevier, vol. 90(C), pages 172-191.
    5. Li, Xiaopeng & Ghiasi, Amir & Xu, Zhigang & Qu, Xiaobo, 2018. "A piecewise trajectory optimization model for connected automated vehicles: Exact optimization algorithm and queue propagation analysis," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 429-456.
    6. James B. Bushnell & Erich Muehlegger & David S. Rapson, 2022. "Energy Prices and Electric Vehicle Adoption," NBER Working Papers 29842, National Bureau of Economic Research, Inc.
    7. Zhu, Wen-Xing & Zhang, H.M., 2018. "Analysis of mixed traffic flow with human-driving and autonomous cars based on car-following model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 496(C), pages 274-285.
    8. Xu, Min & Meng, Qiang & Liu, Zhiyuan, 2018. "Electric vehicle fleet size and trip pricing for one-way carsharing services considering vehicle relocation and personnel assignment," Transportation Research Part B: Methodological, Elsevier, vol. 111(C), pages 60-82.
    9. Liu, Yonggang & Huang, Bin & Yang, Yang & Lei, Zhenzhen & Zhang, Yuanjian & Chen, Zheng, 2022. "Hierarchical speed planning and energy management for autonomous plug-in hybrid electric vehicle in vehicle-following environment," Energy, Elsevier, vol. 260(C).
    10. Vinayak V Dixit & Sai Chand & Divya J Nair, 2016. "Autonomous Vehicles: Disengagements, Accidents and Reaction Times," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-14, December.
    11. Ghiasi, Amir & Hussain, Omar & Qian, Zhen (Sean) & Li, Xiaopeng, 2017. "A mixed traffic capacity analysis and lane management model for connected automated vehicles: A Markov chain method," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 266-292.
    12. Marsden, Greg, 2006. "The evidence base for parking policies--a review," Transport Policy, Elsevier, vol. 13(6), pages 447-457, November.
    13. Ma, Jiaqi & Li, Xiaopeng & Zhou, Fang & Hu, Jia & Park, B. Brian, 2017. "Parsimonious shooting heuristic for trajectory design of connected automated traffic part II: Computational issues and optimization," Transportation Research Part B: Methodological, Elsevier, vol. 95(C), pages 421-441.
    14. Liu, Shuai & Hua, Guowei & Cheng, T.C.E. & Dong, Jingxin, 2021. "Unmanned vehicle distribution capacity sharing with demand surge under option contracts," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
    15. Schall, Dominik L. & Mohnen, Alwine, 2017. "Incentivizing energy-efficient behavior at work: An empirical investigation using a natural field experiment on eco-driving," Applied Energy, Elsevier, vol. 185(P2), pages 1757-1768.
    16. Yu, Chunhui & Feng, Yiheng & Liu, Henry X. & Ma, Wanjing & Yang, Xiaoguang, 2018. "Integrated optimization of traffic signals and vehicle trajectories at isolated urban intersections," Transportation Research Part B: Methodological, Elsevier, vol. 112(C), pages 89-112.
    17. Ma, Ke & Wang, Hao & Ruan, Tiancheng, 2021. "Analysis of road capacity and pollutant emissions: Impacts of Connected and automated vehicle platoons on traffic flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 583(C).
    18. R. J. Troutbeck, 1986. "Average Delay at an Unsignalized Intersection with Two Major Streams Each Having a Dichotomized Headway Distribution," Transportation Science, INFORMS, vol. 20(4), pages 272-286, November.
    19. Yu, Chunhui & Sun, Weili & Liu, Henry X. & Yang, Xiaoguang, 2019. "Managing connected and automated vehicles at isolated intersections: From reservation- to optimization-based methods," Transportation Research Part B: Methodological, Elsevier, vol. 122(C), pages 416-435.
    20. Chen, Danjue & Ahn, Soyoung & Chitturi, Madhav & Noyce, David A., 2017. "Towards vehicle automation: Roadway capacity formulation for traffic mixed with regular and automated vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 100(C), pages 196-221.
    21. Zhang, Dong & Liu, Yang & He, Shuangchi, 2019. "Vehicle assignment and relays for one-way electric car-sharing systems," Transportation Research Part B: Methodological, Elsevier, vol. 120(C), pages 125-146.
    22. David Sirkin & Sonia Baltodano & Brian Mok & Dirk Rothenbücher & Nikhil Gowda & Jamy Li & Nikolas Martelaro & David Miller & Srinath Sibi & Wendy Ju, 2016. "Embodied Design Improvisation for Autonomous Vehicles," Understanding Innovation, in: Hasso Plattner & Christoph Meinel & Larry Leifer (ed.), Design Thinking Research, pages 125-143, Springer.
    23. Gong, Siyuan & Shen, Jinglai & Du, Lili, 2016. "Constrained optimization and distributed computation based car following control of a connected and autonomous vehicle platoon," Transportation Research Part B: Methodological, Elsevier, vol. 94(C), pages 314-334.
    24. Cheng, Shuo & Li, Liang & Chen, Xiang & Fang, Sheng-nan & Wang, Xiang-yu & Wu, Xiu-heng & Li, Wei-bing, 2020. "Longitudinal autonomous driving based on game theory for intelligent hybrid electric vehicles with connectivity," Applied Energy, Elsevier, vol. 268(C).
    25. Zhou, Yang & Wang, Meng & Ahn, Soyoung, 2019. "Distributed model predictive control approach for cooperative car-following with guaranteed local and string stability," Transportation Research Part B: Methodological, Elsevier, vol. 128(C), pages 69-86.
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