TY  - JOUR
PY  - 2019//
TI  - Transformation mechanism of vehicle cluster situations under dynamic evolution of driver's propensity
JO  - Transportation research part F: traffic psychology and behaviour
A1  - Wang, Xiaoyuan
A1  - Liu, Yaqi
A1  - Guo, Yongqing
A1  - Xia, Yuanyuan
A1  - Wu, Chaozhong
SP  - 665
EP  - 684
VL  - 65
IS  - 
N2  - 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).<p />  <p>Language: en</p>
LA  - en
SN  - 1369-8478
UR  - http://dx.doi.org/10.1016/j.trf.2018.08.011
ID  - ref1
ER  -