Experimental validation of connected automated vehicle design among human-driven vehicles

• Published in: Transportation research. Part C, Emerging technologies Emerging technologies, 2018-06, Vol.91, p.335-352
• Main Authors: Ge, Jin I., Avedisov, Sergei S., He, Chaozhe R., Qin, Wubing B., Sadeghpour, Mehdi, Orosz, Gábor
• Format: Article
• Language: English
• Subjects: Beyond-line-of-sight information; Connected automated vehicle; Connected cruise control; Human car-following behavior; Traffic safety and efficiency; Vehicle-to-everything (V2X) communication
• ISSN: 0968-090X; 1879-2359
• DOI: 10.1016/j.trc.2018.04.005

•The V2X-based control of a connected automated vehicle among human-driven vehicles.•Connected cruise control (CCC) algorithms designed and tested.•Benefits of beyond-line-of-sight information on safety demonstrated experimentally.•Benefits of beyond-line-of-sight information on mitigating traffic waves demonstrated experimentally. In this paper, we present results regarding the experimental validation of connected automated vehicle design. In order for a connected automated vehicle to integrate well with human-dominated traffic, we propose a class of connected cruise control algorithms with feedback structure originated from human driving behavior. We test the connected cruise controllers using real vehicles under several driving scenarios while utilizing beyond-line-of-sight motion information obtained from neighboring human-driven vehicles via vehicle-to-everything (V2X) communication. We experimentally show that the design is robust against variations in human behavior as well as changes in the topology of the communication network. We demonstrate that both safety and energy efficiency can be significantly improved for the connected automated vehicle as well as for the neighboring human-driven vehicles and that the connected automated vehicle may bring additional societal benefits by mitigating traffic waves.