4.7 Article

On-Ramp Merging Strategies of Connected and Automated Vehicles Considering Communication Delay

期刊

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TITS.2022.3140219

关键词

Merging; Delays; Probability density function; Planning; Vehicle-to-infrastructure; Vehicle dynamics; Optimization; Connected and automated vehicles; on-ramp merging; V2I communication delay; statistical techniques

资金

  1. National Natural Science Foundation of China [61903046, 52172325, 61973045]
  2. Key Research and Development Program of Shaanxi Province [2021GY-290]
  3. Key Research and Development Program of Zhejiang Province [2020C01057]
  4. Youth Talent Lift Project of Shanxi Association for Science and Technology [20200106]
  5. Joint Laboratory for Internet of Vehicles, Ministry of Education-China Mobile Communications Corporation [213024170015]

向作者/读者索取更多资源

Improper handling of on-ramp merging can lead to decreased traffic efficiency and increased collision risk. Cooperative control for connected and automated vehicles (CAVs) can mitigate these negative effects and improve safety and traffic efficiency.
Improper handling of on-ramp merging may cause severe decrease of traffic efficiency and contribute to lower fuel economy, even increasing the collision risk. Cooperative control for connected and automated vehicles (CAVs) has the potential to significantly reduce the negative impact and improve safety and traffic efficiency. Implementation of cooperative on-ramp merging requires the assistance of the vehicle to vehicle (V2V) and vehicle to infrastructure (V2I) communication, wherein the communication delay may cause negative impact on CAV cooperative control. In this paper, scenario of on-ramp merging for CAVs considering the V2I communication delay are studied. Statistical characteristics of the V2I communication delay are explored from both literature and real field test, and a communication delay estimation model based on statistical techniques are proposed. Specifically, we firstly model the CAV on-ramp merging scenario using optimal control in ideal situation. Then, several statistical characteristics of the V2I communication are investigated especially the probability density function of the V2I communication delay in several application scenarios. Further, we proposed a communication delay estimation model and used the modified vehicle state to compute the corresponding control law. Real field test of V2I communication delay indicated that distribution of V2I communication delay could correlate with the application scenario and normal distribution can be generally adopted to approximate the probability density function (PDF) when the number of samples is large enough. Numerical simulation of the CAV on-ramp merging scenario considering the V2I communication delay revealed that dynamic performance of the control process would be deteriorated impacted by the V2I communication delay and it might further impact the final control effect and lead to potential lateral collision in the merging area.

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