Construction and Field Tests of a Connected Vehicle Based Car-Following Guidance System

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.