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Title:

Minimum Control Ratio of Autonomous Vehicles for Achieving System Optimum of Transportation Networks

Accession Number:

01698243

Record Type:

Component

Abstract:

In many years to come when traffic stream will be mixed with conventional and automated vehicles (AVs), AVs may be employed as mobile actuators to regulate or manage traffic flow across an urban road network to enhance its performance. This paper develops a minimum-ratio control scheme (MRCS) to achieve the system optimum (SO) of the network by controlling a portion of AVs as per the SO routing principle. A linear programming model is formulated to delineate the MRCS and determine the minimum control ratio (MCR) of AVs to achieve SO. The properties of the MCR are mathematically and numerically investigated. Numerical examples based on real-world networks suggest that the SO of most of the tested networks can be achieved with a MCR below 23%.

Supplemental Notes:

This paper was sponsored by TRB committee ADB30 Standing Committee on Transportation Network Modeling.

Report/Paper Numbers:

19-02506

Language:

English

Corporate Authors:

Transportation Research Board

Authors:

Chen, Zhibin
Lin, Xi
Yin, Yafeng
Li, Meng

Pagination:

7p

Publication Date:

2019

Conference:

Transportation Research Board 98th Annual Meeting

Location: Washington DC, United States
Date: 2019-1-13 to 2019-1-17
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Subject Areas:

Highways; Operations and Traffic Management; Planning and Forecasting; Vehicles and Equipment

Source Data:

Transportation Research Board Annual Meeting 2019 Paper #19-02506

Files:

TRIS, TRB, ATRI

Created Date:

Dec 7 2018 9:49AM