Corridor-Wise Eco-Friendly Cooperative Ramp Management System for Connected and Automated Vehicles

Zhouqiao Zhao, Guoyuan Wu and Matthew Barth
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Zhouqiao Zhao: College of Engineering-Center for Environmental Research and Technology, University of California at Riverside, Riverside, CA 92507, USA
Guoyuan Wu: College of Engineering-Center for Environmental Research and Technology, University of California at Riverside, Riverside, CA 92507, USA
Matthew Barth: College of Engineering-Center for Environmental Research and Technology, University of California at Riverside, Riverside, CA 92507, USA

Sustainability, 2021, vol. 13, issue 15, 1-19

Abstract: Safety, mobility, and environmental sustainability are three fundamental issues that our transportation system has been confronting for decades. Intelligent transportation systems (ITS) aim to address these problems by leveraging disruptive technologies, such as connected and automated vehicles (CAVs). The cooperative potential of CAVs enable more efficient maneuvers and operation of a group of vehicles, or even the entire traffic system. In addition, CAVs may couple with other emerging technologies such as electrification to boost overall system performance and to further mitigate the aforementioned issues. In this study, we propose a hierarchical eco-friendly cooperative ramp management system, where macroscopically, a stratified ramp metering algorithm, is deployed to coordinate all of the ramp inflow rates along a corridor according to the real-time traffic condition; microscopically, a model predictive control (MPC)-based algorithm is designed for the detailed speed control of individual CAVs. Using the shared information from CAVs, the proposed ramp management system can smooth traffic flow, improve system mobility, and decrease the energy consumption of the network. Moreover, traffic simulation has been conducted using PTV VISSIM under various congestion levels for vehicles with different powertrain types, i.e., an internal combustion engine and an electric motor. Compared to conventional ramp metering, the proposed ramp management system may improve mobility by 48.6–56.7% and save energy by 24.0–35.1%. Compared to no control scenarios, savings in travel time and energy consumption are in the ranges of 79.4–89.1% and 0.8–2.5%, respectively.

Keywords: connected and automated vehicle (CAV); model predictive control (MPC); cooperative eco-driving; ramp management (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
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