Time‐dependent lane change trajectory optimisation considering comfort and efficiency for lateral collision avoidance

Autor: Xianyu Li, Zhongyin Guo, Donglan Su, Qiang Liu
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: IET Intelligent Transport Systems, Vol 15, Iss 5, Pp 595-605 (2021)
Druh dokumentu: article
ISSN: 1751-9578
1751-956X
DOI: 10.1049/itr2.12045
Popis: Abstract Lateral collision is one of the top two accidents in the world and often occurs in the lane change. Trajectory optimisation is an effective method to solve traffic conflicts in the lane‐changing process. However, current trajectory optimisation methods are not friendly to human‐computer‐based driving assistance. This study proposes a time‐dependent lanechange trajectory optimisation considering comfort and efficiency. First, spacing constraints between the lane‐changing vehicle and surrounding vehicles are determined and quantified. Second, lane‐changing trajectory data are obtained by driving simulation experiments and extracted by data features. Third, a quintic multinomial model of lane‐changing trajectory is proposed. The results reveal that the predicted trajectory is close to the observed value. Then, the obtained trajectory is optimised by the objective function considering lane‐changing efficiency and comfort. Finally, a case study is used to demonstrate the application of the model. When a lane‐changing vehicle changes a lane at an initial speed of 90 km/h to the faster lane at the terminal speed of 110 km/h, the optimal lane‐changing time is 3.4 s, with the lateral acceleration 1.79 m/s2 and the maximum yaw angle 0.081 rad.
Databáze: Directory of Open Access Journals
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