Citation

Wang X, Liu Y, Guo Y, Xia Y, Wu C. Transp. Res. F Traffic Psychol. Behav. 2019; 65: 665-684.

Copyright

(Copyright © 2019, Elsevier Publishing)

DOI

10.1016/j.trf.2018.08.011

PMID

unavailable

Abstract

The vehicle cluster situation is a kind of dynamic arrangement of a target vehicle and the surrounding vehicles during driving. Revealing the transfer mechanism of vehicle clustering in complex environments is of great significant for studying automated driving systems and driver assist systems. Taking three-lane scenario as an example, vehicle cluster situations changing with driver's evolving propensity were studied. To this end, the data of vehicle cluster situations were collected and analyzed through driving experiments in different environments. In addition, the dual random variations of the vehicle cluster situation and driver's propensity were modeled to explore the transfer mechanism. The verification results show that the predicted outcomes of vehicle cluster situations using the evolution rule of driver's propensity are consistent with the real-time recognition. Therefore, the transfer mechanism of vehicle cluster situations was found to be effective and reasonable. It is important for the research of intelligent driving command system of Internet of Things (IOT).

Language: en

Keywords

Driver’s propensity; Traffic state prediction; Transfer mechanism; Vehicle cluster situation