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

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-E 2) 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-E 2 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.
Authors:
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)
Publication Date:
Report Number(s):
NREL/JA-5400-70615
Journal ID: ISSN 1524-9050
Grant/Contract Number:
AC36-08GO28308
Type:
Accepted Manuscript
Journal Name:
IEEE Transactions on Intelligent Transportation Systems
Additional Journal Information:
Journal Volume: 19; Journal Issue: 7; Journal ID: ISSN 1524-9050
Publisher:
IEEE
Research Org:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Vehicle Technologies Office (EE-3V)
Country of Publication:
United States
Language:
English
Subject:
33 ADVANCED PROPULSION SYSTEMS; connected vehicles; fuel economy; intelligent transportation systems
OSTI Identifier:
1426638

Hou, Yunfei, Seliman, Salaheldeen M. S., Wang, Enshu, Gonder, Jeffrey D., Wood, Eric, He, Qing, Sadek, Adel W., Su, Lu, and Qiao, Chunming. Cooperative and Integrated Vehicle and Intersection Control for Energy Efficiency (CIVIC-E²). United States: N. p., Web. doi:10.1109/TITS.2017.2785288.
Hou, Yunfei, Seliman, Salaheldeen M. S., Wang, Enshu, Gonder, Jeffrey D., Wood, Eric, He, Qing, Sadek, Adel W., Su, Lu, & Qiao, Chunming. Cooperative and Integrated Vehicle and Intersection Control for Energy Efficiency (CIVIC-E²). United States. doi:10.1109/TITS.2017.2785288.
Hou, Yunfei, Seliman, Salaheldeen M. S., Wang, Enshu, Gonder, Jeffrey D., Wood, Eric, He, Qing, Sadek, Adel W., Su, Lu, and Qiao, Chunming. 2018. "Cooperative and Integrated Vehicle and Intersection Control for Energy Efficiency (CIVIC-E²)". United States. doi:10.1109/TITS.2017.2785288.
@article{osti_1426638,
title = {Cooperative and Integrated Vehicle and Intersection Control for Energy Efficiency (CIVIC-E²)},
author = {Hou, Yunfei and Seliman, Salaheldeen M. S. and Wang, Enshu and Gonder, Jeffrey D. and Wood, Eric and He, Qing and Sadek, Adel W. and Su, Lu and Qiao, Chunming},
abstractNote = {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.},
doi = {10.1109/TITS.2017.2785288},
journal = {IEEE Transactions on Intelligent Transportation Systems},
number = 7,
volume = 19,
place = {United States},
year = {2018},
month = {2}
}