Cordon-Metering Rules for Present-Day and Future Cities

Li, Xiaopeng; Li, Yang; Huang, Heye

doi:10.5038/CUTR-NICR-Y3-1-9

i

Cordon-Metering Rules for Present-Day and Future Cities

2025-01-01
By Li, Xiaopeng ; Li, Yang ; Huang, Heye

File Language:

English

Details

Creators:

Li, Xiaopeng ; Li, Yang ; Huang, Heye
Corporate Creators:

University of Wisconsin--Milwaukee. Department of Civil and Environmental Engineering
Corporate Contributors:

University of South Florida. National Institute for Congestion Reduction ; United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
Subject/TRT Terms:

Autonomous Vehicles Cities Congestion Management Systems Connected Vehicles Traffic Signal Timing Traffic Simulation
DOI:

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

Tech Report
Geographical Coverage:

United States
Edition:

Final Report [4/1/2022–3/31/2023]
Corporate Publisher:

University of South Florida. National Institute for Congestion Reduction
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.
Format:

PDF
Funding:

69A3551947136;79075-30
Collection(s):

University Transportation Centers
Main Document Checksum:

urn:sha-512:033b914bcd04f89d4b1de334e5072bb39c099bccf31cdc51ec52dcaa65ffae17d2fdd31c831a2b5ac55abea1ba280f28723664c4b0ab6142decf514b7d7ec480
Download URL:

https://rosap.ntl.bts.gov/view/dot/84810/dot_84810_DS1.pdf
File Type:

[PDF - 1.49 MB ]

File Language:

English

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