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Modeling Microscopic Traffic Behaviors for Connected and Autonomous Vehicles

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Communication, Computation and Perception Technologies for Internet of Vehicles

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Abstract

Autonomous vehicles (AVs) will transform urban mobility into mixed traffic consisting of AVs and human-driven vehicles (HVs). In this chapter, we first review recent modeling works on mixed traffic flow and summarize research gaps. Then a stochastic car-following model is proposed to model the car-following behavior of AVs and HVs. This chapter also analyses the safety of mixed-traffic flow by considering the impact of AVs on their followers’ car-following behaviours. This model successfully explains different types of traffic instabilities that is observed in real-world; second, we conduct a series of numerical simulations showing that AVs can improve traffic safety without decreasing traffic throughput. The sensitivity test further reveals that traffic safety risk decreases with the growth of the AV penetration rate (PR), as is indicated by the decreased average standard deviation (SD) of vehicle speeds and time integrated time-to-collision (TIT).

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Abbreviations

AVs:

Autonomous Vehicles

HVs:

Human-driven vehicles

SD:

Standard deviation

TIT:

Time integrated time-to-collision

PR:

Penetration rate

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Author information

Authors and Affiliations

  1. Zhejiang Lab, Interdisciplinary Innovation Research Institute, Hangzhou, China

    Tu Xu & Yongdong Zhu

Authors
  1. Tu Xu
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  2. Yongdong Zhu
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Corresponding author

Correspondence to Yongdong Zhu .

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Editors and Affiliations

  1. Zhejiang Lab, Hangzhou, Zhejiang, China

    Yongdong Zhu

  2. Suzhou Research Institute of Wuhan University, Wuhan University, Wuhan, Hubei, China

    Yue Cao

  3. Zhejiang Lab, Hangzhou, Zhejiang, China

    Wei Hua

  4. China Unicom & Beijing University of Posts and Telecommunications, Beijing, China

    Lexi Xu

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Xu, T., Zhu, Y. (2023). Modeling Microscopic Traffic Behaviors for Connected and Autonomous Vehicles. In: Zhu, Y., Cao, Y., Hua, W., Xu, L. (eds) Communication, Computation and Perception Technologies for Internet of Vehicles. Springer, Singapore. https://doi.org/10.1007/978-981-99-5439-1_1

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