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Title:

Multi-modal Traffic Signal Control in a Shared Space Network

Accession Number:

01698312

Record Type:

Component

Abstract:

This paper explicitly addresses the multi-modal traffic signal control problem in the shared space network (SSN), where there are multiple travel modes (e.g. passenger cars, buses, and light rails) competing for their spaces in the same lane. SSN widely exists in central business districts where the road space is limited and the multi-modal travel demand is high. An optimization framework with a multi-modal cell transmission model (M-CTM) is developed to model the multi-modal traffic in the network. Regarding multi-modal signal coordination, a novel cycle-based traffic signal plan selection model is developed to choose the best offline optimized signal plan. Therefore, the computation burden is significantly reduced in the optimization model. Two case studies in an artificial network and downtown Buffalo validate the proposed model.

Supplemental Notes:

This paper was sponsored by TRB committee AHB25 Standing Committee on Traffic Signal Systems.

Report/Paper Numbers:

19-04769

Language:

English

Corporate Authors:

Transportation Research Board

Authors:

Tang, Li
He, Qing
Qiao, Chunming

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

Uncontrolled Terms:

Shared networks

Geographic Terms:

Buffalo (New York)

Subject Areas:

Highways; Operations and Traffic Management; Pedestrians and Bicyclists; Planning and Forecasting; Public Transportation

Source Data:

Transportation Research Board Annual Meeting 2019 Paper #19-04769

Files:

TRIS, TRB, ATRI

Created Date:

Dec 7 2018 9:51AM