To reveal the impact of connected human-driven vehicles (CVs) on CF behaviors in a real traffic environment, this study constructs a car-following guidance (CFG) system test platform based on CVs, followed by multiple field tests verifications. Specifically, the CFG system is established by incorporating hardware, i.e., Global Navigation Satellite System (GNSS) facilities, Dedicated Short Range Communication devices, personal computers, and human-machine interfaces. In essence, a CFG software is developed with a series of operations, including GNSS data obtaining, tagging and sending, subject and surrounding CVs’ GNSS data processing, desired speed generation, and data storage. Field tests of the developed CFG system are conducted at the connected and autonomous vehicle test field of Chang’an University. Fifty participants’ driving behaviors based on given scenarios are collected and analyzed. The results demonstrate that the CFG system can significantly improve the capability and stability in tracking the preceding vehicle.
Construction and Field Tests of a Connected Vehicle Based Car-Following Guidance System
22nd COTA International Conference of Transportation Professionals ; 2022 ; Changsha, Hunan Province, China
CICTP 2022 ; 294-305
2022-09-08
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Dynamic Route Choice Prediction Model Based on Connected Vehicle Guidance Characteristics
Online Contents | 2017
|Dynamic Route Choice Prediction Model Based on Connected Vehicle Guidance Characteristics
DOAJ | 2017
|