Evaluation of Safe Avoidance Distance for Pedestrians in Personal Mobility Vehicles and Pedestrian Mixed Traffic: A Simulation Based Study
Evaluation of Safe Avoidance Distance for Pedestrians in Personal Mobility Vehicles and Pedestrian Mixed Traffic: A Simulation Based Study
复制标题
DOI：
10.11175/easts.12.1994
复制
发表时间：
2017
期刊：
影响因子：
--
通讯作者：
Charitha Dias;Miho Iryo;H. Nishiuchi
中科院分区：
文献类型：
--
作者：
Charitha Dias;Miho Iryo;H. Nishiuchi
个人移动车辆（PMV）正在成为城市环境中的一种环保交通方式。根据现行法律，PMV被禁止在东亚城市环境中的共用人行道和公共区域使用，主要是出于安全考虑。以前很少有研究探讨安全问题PMV和行人混合交通通过控制实验。基于实验的方法的一个关键限制是难以考虑关键或风险场景，主要是因为安全和伦理问题。因此，在克服这些困难和评估不同的情况时，基于模拟的方法可能更有吸引力。在本文中，基于社会力的微观仿真模型，这已经被校准的PMV-行人混合交通，用于评估行人在PMV-行人混合交通情况下的安全避让距离。通过控制实验收集的数据也被用来验证本文报道的基于模拟的结果和讨论。
Personal mobility vehicles (PMVs) are emerging as an eco-friendly transport mode in urban environments. Under current law, PMVs are prohibited on shared sidewalks and public areas in East Asian urban environments mainly due to safety concerns. Few previous studies have explored safety issues related to PMV and pedestrian mixed traffic through controlled experiments. One critical limitation of experiment-based approaches is the difficulty in considering critical or risky scenarios mainly because of safety and ethical issues. Thus, simulation-based approaches may be more appealing in overcoming such difficulties and evaluating different scenarios. In this paper, a social force based microscopic simulation model, which has already been calibrated for PMV-pedestrian mixed traffic, is utilized to evaluate safe avoidance distance of pedestrians in PMV-pedestrian mixed traffic situations. Data collected through controlled experiments are also used to validate the simulation based findings and discussions reported in this paper.