基于不同风险倾向的驾驶员路径诱导模型

doi:10.16265/j.cnki.issn1003-3033.2020.05.017

中国安全科学学报 ›› 2020, Vol. 30 ›› Issue (5): 108-114.doi: 10.16265/j.cnki.issn1003-3033.2020.05.017

基于不同风险倾向的驾驶员路径诱导模型

张惠玲^1,2 教授, 孔德学², 敖谷昌^1,2 副教授

1.重庆交通大学山地城市交通系统与安全重庆市重点实验室,重庆 400074;
2.重庆交通大学交通运输学院,重庆 400074

收稿日期:2020-02-09 修回日期:2020-04-06 出版日期:2020-05-28
作者简介:张惠玲(1980—),女,宁夏中宁人,博士,教授,主要从事交通规划、交通控制等方面的研究。E-mail:huilingz@126.com。
基金资助:
重庆市自然科学基金面上项目资助(cstc2019jcyj-msxmX0786);重庆市教委科学技术研究项目(KJQN201800727);山地城市交通系统与安全重庆市重点实验室开放基金资助(2018TSSMC03)。

Drivers' route guidance model based on different risk propensity

ZHANG Huiling^1,2, KONG Dexue², AO Guchang^1,2

1. Chongqing Key Laboratory of Mountainous City Traffic & Transportation, Chongqing Jiaotong University, Chongqing 400074, China;
2. College of Traffic & Transportation, Chongqing Jiaotong University, Chongqing 400074, China

Received:2020-02-09 Revised:2020-04-06 Published:2020-05-28

摘要/Abstract

摘要： 为有效改善驾驶员出行体验,根据交通量和通行能力等参数,建立路径旅行时间和事故风险成本的预测模型,获取正态分布下的均值和标准差;结合路径旅行时间和事故成本的风险厌恶系数,从广义出行费用角度出发,建立不同风险倾向驾驶员的路径诱导模型;设计基于K条最短路径的求解算法。结果表明:路径的风险成本、时间成本,以及驾驶员的风险偏好等均会影响驾驶员的路径选择;基于不同风险倾向的驾驶员路径诱导模型有助于提高驾驶员行驶安全和城市道路网使用效率。

关键词: 风险倾向, 驾驶员, 路径诱导模型, 事故风险成本, 旅行时间

Abstract: In order to effectively improve drivers' travel experience, a prediction model of route travel time and crash risk cost was established based on parameters of traffic volume and capacity, and mean and standard deviation of normal distribution were obtained. Then, a route guidance model for drivers with different risk propensity was established from a perspective of generalized travel cost considering risk aversion coefficients of route travel time and crash cost. Finally, an algorithm based on K shortest paths was designed. The results show that risk cost and time cost of routes as well as risk preference of drivers will all affect route selection. The driver route guidance model based on different risk propensity can help improve driving safety and utilization efficiency of urban road network.

Key words: risk propensity, drivers, route guidance model, crash risk cost, travel time

中图分类号:

X951

张惠玲, 孔德学, 敖谷昌. 基于不同风险倾向的驾驶员路径诱导模型[J]. 中国安全科学学报, 2020, 30(5): 108-114.

ZHANG Huiling, KONG Dexue, AO Guchang. Drivers' route guidance model based on different risk propensity[J]. China Safety Science Journal, 2020, 30(5): 108-114.

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基于不同风险倾向的驾驶员路径诱导模型

Drivers' route guidance model based on different risk propensity

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