Collision-avoidance lane change control method for enhancing safety for connected vehicle platoon in mixed traffic environment

Ma, Yi; Liu, Qiang; Fu, Jie; Liufu, Kangmin; Li, Qing

doi:10.1016/j.aap.2023.106999

Cited by 26 publications

(1 citation statement)

References 65 publications

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“…The connected vehicle cannot communicate with its surrounding vehicles in a mixed traffic environment. In this case, a collision avoidance lane change control approach for a group of buses in [26], aims to elude non-connected vehicles for completing lane change safely. The [27] proposes a cooperative lane change method for the heterogeneous platoon.…”

Section: Introductionmentioning

confidence: 99%

Deep Q‐network based multi‐layer safety lane changing strategy for vehicle platoon

Zhang,

Yan,

Zuo

2023

IET Intelligent Trans Sys

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The vehicle platoon lane changing is significant for alleviating road congestion and diminishing transportation energy consumption. However, the lane changing strategy for a group of vehicles is still a great challenge in this field. This paper investigates the vehicle platoon lane changing problems, in which the safety and efficiency in the lane changing procedure are both taken into consideration. Since the safety of the platoon lane changing would be affected by the lane changing gap and the length of the platoon, a novel platoon lane changing strategy is proposed by using the deep Q‐network. In detail, the proposed platoon lane changing strategy contains two layers, where the first one is a decision layer and the other one is the verification layer. In the decision layer, the deep Q‐network is employed to improve the lane changing efficiency. Then, the verification layer is presented to enhance the platoon lane changing safety. In final, some typical platoon lane changing scenarios are provided in an existing ramp containing a vehicle platoon and some random vehicles. The related numerical simulations are conducted to validate the feasibility and effectiveness of the proposed approaches.

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Section: Introductionmentioning

confidence: 99%