Xingyu CHEN , Haijian BAI, Heng DING, Jianshe GAO, Wenjuan HUANG. A Safety Control Method of Car-Following Trajectory Planning Based on LSTM
Release time:2024-03-21
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DOI number:10.7307/ptt.v35i3.118
Journal:Traffic Transportation
Key Words:car-following model; LSTM; Gipps model; safety control; potential collision point
Abstract:This paper focuses on the potential safety hazards of collision in car-following behaviour generated by deep learning models. Based on an intelligent LSTM model, combined with a Gipps model of safe collision avoidance, a new, Gipps-LSTM model is constructed, which can not only learn the intelligent behaviour of people but also ensure the safety of vehicles. The idea of the Gipps-LSTM model combination is as follows: the concept of a potential collision point (PCP) is introduced, and the LSTM model or Gipps model is controlled and started through a risk judgment algorithm. Dataset 1 and dataset 2 are used to train and simulate the LSTM model and Gipps-LSTM model. The simulation results show that the GippsLSTM can solve the problem of partial trajectory collision in the LSTM model simulation. Moreover, the risk level of all trajectories is lower than that of the LSTM model. The safety and stability of the model are verified by multi-vehicle loop simulation and multi-vehicle linear simulation. Compared with the LSTM model, the safety of the Gipps-LSTM model is improved by 42.02%, and the convergence time is reduced by 25s.
Indexed by:Journal paper
Discipline:Engineering
Document Type:J
Translation or Not:no
Date of Publication:2023-03-30
