Document Type

Technical Report

Publication Date

1-1-2025

Keywords

Connected and Automated Vehicle, decongestion, Area Transmission Model, speed advisories

Digital Object Identifier (DOI)

https://doi.org/10.5038/CUTR-NICR-Y3-1-9

Abstract

Connected and Automated Vehicles (CAVs) play a pivotal role in alleviating urban road network congestion. This study adopts a macroscopic approach to identify strategies for using CAVs to ease traffic congestion and reduce energy consumption. Specifically, this study proposes an Area Transmission Model (ATM) based on Macroscopic Fundamental Diagram (MFD) suitable for city-level network applications. It also presents a macro-optimization control strategy that utilizes speed advisories to modulate traffic flow across the network, thereby ensuring effective congestion management and enhanced energy efficiency. By employing the city of Madison as a case study, the research examines the optimal speed advisory solution. This methodology demonstrates potential for improving traffic management practices, highlighting a promising path forward for optimizing urban transportation systems.

Policy Brief.pdf (232 kB)
Policy Brief

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