@article{WU2025, 
author = {Ruoyu WU and Dezhen YANG and Yi REN and Lulu JIA and Xiaobin LI and Zili WANG},
title = {Modelling method for pedestrian safety behavior in shared road spaces of pedestrian-traditional vehicle-autonomous vehicle},
year = {2025},
journal = {Journal of Beijing University of Aeronautics and Astronautics},
volume = {51},
number = {6},
pages = {2099-2105},
keywords = {shared road space, pedestrian, autonomous vehicle, safety, momentum},
url = {https://www.sciopen.com/article/10.13700/j.bh.1001-5965.2023.0370},
doi = {10.13700/j.bh.1001-5965.2023.0370},
abstract = {Under the development background that autonomous vehicles will share road resources with traditional traffic participants in the future, pedestrian safety behavior modelling in the shared road spaces of pedestrian-traditional vehicle-autonomous vehicle is crucial to the simulation development and reliability and safety testing of autonomous vehicles. To satisfy this demand, the safe movement behavior of pedestrians was analyzed firstly, and the traditional social force model of pedestrians was improved to build a momentum model of the interaction between pedestrians and other pedestrians, traditional vehicles, and autonomous vehicles in the shared road spaces. Then, a dataset of pedestrian-vehicle interaction motion and a genetic algorithm were adopted to calibrate the safety parameters of the model, and a typical shared road space scene was proposed to verify the effectiveness of the model. The simulation results indicate that the proposed model can simulate the safe movement behavior of pedestrians, and it has better effects in tasks such as shared road space simulation of pedestrian-traditional vehicle-autonomous vehicle.}
}