Citation

Zhang H, Kong D, Ao G. China Saf. Sci. J. 2020; 30(5): 108-114.

Copyright

(Copyright © 2020, China Occupational Safety and Health Association, Publisher Gai Xue bao)

DOI

10.16265/j.cnki.issn1003-3033.2020.05.017

PMID

unavailable

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. © 2020 China Safety Science Journal. All rights reserved.

Language: zh