| Autor: |
Ran Yi, Yifan Yao, Fan Pu, Yang Zhou, Xin Wang |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
Communications in Transportation Research, Vol 4, Iss , Pp 100126- (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2772-4247 |
| DOI: |
10.1016/j.commtr.2024.100126 |
| Popis: |
This paper presents a spatially formulated cooperative dynamic mandatory connected automated vehicle (CAV) lane-changing and car-following approach on curved highways with the assistance of vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V) communication. This work proposes mandatory lane-changing control in a spatial domain to accomplish car-following and lane-changing efficiency in a systematic manner. This control technique initially creates a virtual CAV car-following lane by assigning CAVs sequential numbers based on their spatial position. On this basis, a multi-objective model predictive control (MPC) strategy in the spatial domain is designed to optimize the trajectories in a rolling horizon fashion in order to maintain the inter-vehicle spacing and speed difference while simultaneously satisfying collision avoidances, traffic regulations, and vehicle kinematics constraints. Multi-scenario numerical simulations are conducted to validate the control efficacy of our technique. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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