The Performance of Connected and Autonomous Vehicles with Trajectory Planning in a Fixed Signal Controlled Intersection

Shaojie Liu; Wei Fan; Shuaiyang Jiao; Aizeng Li

doi:10.7307/ptt.v36i1.288

Authors

Shaojie Liu Department of Civil and Transportation Engineering, Henan University of Urban Construction
Wei Fan USDOT Center for Advanced Multimodal Mobility Solutions and Education (CAMMSE); Department of Civil and Environmental Engineering, University of North Carolina at Charlotte https://orcid.org/0000-0001-9815-710X
Shuaiyang Jiao Department of Civil and Transportation Engineering, Henan University of Urban Construction
Aizeng Li Department of Civil and Transportation Engineering, Henan University of Urban Construction

DOI:

https://doi.org/10.7307/ptt.v36i1.288

Keywords:

connected and autonomous vehicles, trajectory planning, fixed signal-controlled intersection, virtual platoon

Abstract

Connected and autonomous vehicles (CAVs) are recognised as a technology trend in the transportation engineering arena. As one of the most popular capabilities of CAVs, trajectory planning attracts extensive attention and interest from both academia and the industry. Segmented trajectory planning is gaining popularity for its simplicity and robustness in computation and deployment. Constructive recommendations and guidelines can be provided by exploring the effects of segmented trajectories in different settings of CAVs and intersections. This research proposes a control strategy for segmented trajectory planning in a fixed signal timing environment. To test the effects of this control strategy, this research designs simplified fixed signalised intersection scenarios and implements segmented trajectory planning features of CAVs with different traffic demand scenarios, distances and speed limits. The results show that the proposed control strategy has stable superior performances in different traffic scenarios especially when the traffic volume is near capacity.

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