Eco approaching at an isolated signalized intersection under partially connected and automated vehicles environment. (June 2017)

• Record Type: Journal Article
• Authors: Jiang, Huifu; Hu, Jia; An, Shi; Wang, Meng; Park, Byungkyu Brian
• Is Part Of: Transportation research. Volume 79(2017)
• Page Start: 290
• Page End: 307
• Publication Date: 2017-06
• Subjects: Eco-driving -- Isolated signalized intersection -- Partially connected and automated vehicles environment -- Mobility -- Fuel efficiency -- Speed optimization; Transportation -- Periodicals; Transportation -- Technological innovations -- Periodicals; 388.011
• DOI: 10.1016/j.trc.2017.04.001
• Languages: English
• ISSNs: 0968-090X

Abstract

Highlights: Is beneficial as long as there is a connected and automated vehicle in the traffic system. Is able to smooth out the shock wave caused by signal controls. Is robust over the impedance from conventional vehicles and randomness of traffic. Is less affected by stochastic human-driven vehicles. Can potentially be used in real-time. Abstract: This research proposed an eco-driving system for an isolated signalized intersection under partially Connected and Automated Vehicles (CAV) environment. This system prioritizes mobility before improving fuel efficiency and optimizes the entire traffic flow by optimizing speed profiles of the connected and automated vehicles. The optimal control problem was solved using Pontryagin's Minimum Principle. Simulation-based before and after evaluation of the proposed design was conducted. Fuel consumption benefits range from 2.02% to 58.01%. The CO2 emissions benefits range from 1.97% to 33.26%. Throughput benefits are up to 10.80%. The variations are caused by the market penetration rate of connected and automated vehicles and v/c ratio. No adverse effect is observed. Detailed investigation reveals that benefits are significant as long as there is CAV and they grow with CAV's market penetration rate (MPR) until they level off at about 40% MPR. This indicates that the proposed eco-driving system can be implemented with a low market penetration rate of connected and automated vehicles and could be implemented in a near future. The investigation also reveals that the proposed eco-driving system is able to smooth out the shock wave caused by signal controls and is robust over the impedance from conventional vehicles and randomness of traffic. The proposed system is fast in computation and has great potential for real-time implementation.