期刊
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
卷 20, 期 4, 页码 1390-1403出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TITS.2018.2849029
关键词
Traffic signal optimization; vehicle speed control; connected automated vehicle; V2I cooperation; intelligent transportation systems; travel time; fuel consumption
资金
- National Natural Science Foundation of China [51475254, 51625503]
- National Science and Technology Major Project [2016ZX03002019]
- National Science Foundation [CMMI-1719551]
- National Key R&D Program in China [2016YFB0100906]
- U.S. Department of Transportation, Tier 1 University of Transportation Center on Connected Cities for Smart Mobility towards Accessible and Resilience Transportation
Signalized intersections play an important role in transportation efficiency and vehicle fuel economy in urban areas. This paper proposes a cooperative method of traffic signal control and vehicle speed optimization for connected automated vehicles, which optimizes the traffic signal timing and vehicles' speed trajectories at the same time. The method consists of two levels, i.e., roadside traffic signal optimization and onboard vehicle speed control. The former calculates the optimal traffic signal timing and vehicles' arrival time to minimize the total travel time of all vehicles; the latter optimizes the engine power and brake force to minimize the fuel consumption of individual vehicles. The enumeration method and the pseudospectral method are applied in roadside and onboard optimization, respectively. Simulation studies are conducted to compare the proposed method with benchmark methods. The results show significant improvement of transportation efficiency and fuel economy - by the cooperation method.
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