Testing an Eco-Cooperative Adaptive Cruise Control System in a Large-scale Metropolitan Network

Hao Chen, Hesham Rakha

2022

Abstract

This study implements and tests an Eco-Cooperative Adaptive Cruise Control at Intersections (Eco-CACC-I) system in a large-scale metropolitan network to quantify the system-level performance considering different vehicle powertrains, connected automated vehicle (CAV) market penetration rates, and congestion levels. Specifically, three vehicle powertrains are considered in this study, including internal combustion engine vehicles (ICEVs), battery electric vehicles (BEVs) and hybrid electric vehicles (HEVs). This study integrates the Eco-CACC-I controller with different fuel/energy consumption models, so that the controller can compute energy-optimized solutions to assist ICEVs, BEVs and HEVs traverse signalized intersections. A simulated traffic network in the Greater Los Angeles Area including the downtown LA and the immediate vicinity is used to implement and test the Eco-CACC-I controller. In particular, 1,606 arterial links that are either directly upstream or downstream 457 coordinated adaptive traffic signal controllers are used to test the Eco-CACC-I controller. The test results demonstrate that the controller produces positive impacts on saving fuel/energy consumption, reducing travel time and delays on urban networks for different combinations of CAV market penetration and congestion levels.

Paper Citation

in Harvard Style

Chen H. and Rakha H. (2022). Testing an Eco-Cooperative Adaptive Cruise Control System in a Large-scale Metropolitan Network. In Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS, ISBN 978-989-758-573-9, pages 265-272. DOI: 10.5220/0011039200003191

in Bibtex Style

@conference{vehits22,
author={Hao Chen and Hesham Rakha},
title={Testing an Eco-Cooperative Adaptive Cruise Control System in a Large-scale Metropolitan Network},
booktitle={Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,},
year={2022},
pages={265-272},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011039200003191},
isbn={978-989-758-573-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,
TI - Testing an Eco-Cooperative Adaptive Cruise Control System in a Large-scale Metropolitan Network
SN - 978-989-758-573-9
AU - Chen H.
AU - Rakha H.
PY - 2022
SP - 265
EP - 272
DO - 10.5220/0011039200003191