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Title: Cooperative and Integrated Vehicle and Intersection Control for Energy Efficiency (CIVIC-E²)

Journal Article · · IEEE Transactions on Intelligent Transportation Systems
ORCiD logo [1];  [1];  [1];  [2];  [2]; ORCiD logo [1];  [1];  [1];  [1]
  1. Univ. at Buffalo, The State Univ. of New York, Buffalo, NY (United States)
  2. National Renewable Energy Lab. (NREL), Golden, CO (United States)
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Recent advances in connected vehicle technologies enable vehicles and signal controllers to cooperate and improve the traffic management at intersections. This paper explores the opportunity for cooperative and integrated vehicle and intersection control for energy efficiency (CIVIC-E2) to contribute to a more sustainable transportation system. We propose a two-level approach that jointly optimizes the traffic signal timing and vehicles' approach speed, with the objective being to minimize total energy consumption for all vehicles passing through an isolated intersection. More specifically, at the intersection level, a dynamic programming algorithm is designed to find the optimal signal timing by explicitly considering the arrival time and energy profile of each vehicle. At the vehicle level, a model predictive control strategy is adopted to ensure that vehicles pass through the intersection in a timely fashion. Our simulation study has shown that the proposed CIVIC-E2 system can significantly improve intersection performance under various traffic conditions. Furthermore, compared with conventional fixed-time and actuated signal control strategies, the proposed algorithm can reduce energy consumption and queue length by up to 31% and 95%, respectively.

Research Organization:
National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Vehicle Technologies Office (EE-3V)
Grant/Contract Number:
AC36-08GO28308
OSTI ID:
1426638
Report Number(s):
NREL/JA-5400-70615
Journal Information:
IEEE Transactions on Intelligent Transportation Systems, Vol. 19, Issue 7; ISSN 1524-9050
Publisher:
IEEECopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 15 works
Citation information provided by
Web of Science

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