TRB Pubsindex
Text Size:

Title:

Evaluation of GPS-Based Transit Signal Priority for Mixed-Traffic Bus Rapid Transit

Accession Number:

01590416

Record Type:

Component

Availability:

Find a library where document is available


Order URL: http://worldcat.org/isbn/9780309441216

Abstract:

GPS-based transit signal priority (TSP) is a new type of transit preferential tool being considered in many North American cities. With GPS detection and advanced communications, GPS-based TSP provides flexible and conditional signal priority to transit vehicles. This is a relatively new system with limited field implementations and evaluations. The research in this study used microscopic simulation, to create a set of TSP scenarios for a 3-mi bus corridor and evaluated the influences of GPS-based TSP on transit and traffic operations. The simulation network was the 3300 South corridor, including side streets, in Salt Lake County, Utah. A proposal was evaluated to upgrade the Utah Transit Authority Bus Route 33 operating along the corridor into a bus rapid transit (BRT) line running in mixed traffic. Eight simulation scenarios were created to cover (a) current field conditions, (b) regular bus with traditional TSP implementation, (c) regular bus with GPS-based TSP, (d) BRT implementation with no TSP, (e) BRT with traditional TSP implementation, (f) BRT with GPS-based TSP, (g) BRT with conditional TSP, and (h) BRT with multiconditional TSP implementation. The evaluation included transit and nontransit operations, and the impacts on side-street traffic. The results show that GPS-based TSP performed as effectively as did traditional TSP. Conditional and multi-conditional TSP strategies showed benefits in providing the transit system considerable delay reduction (13% and 3%, respectively) and travel time savings (7% and 3%, respectively) while having the smallest impacts on side-street traffic (3% and 1% increase in delay, respectively) compared with other TSP strategies.

Monograph Accession #:

01615183

Report/Paper Numbers:

16-4705

Language:

English

Authors:

Song, Yu
Zlatkovic, Milan
Porter, Richard J

Pagination:

pp 30–39

Publication Date:

2016

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Issue Number: 2539
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

9780309441216

Media Type:

Print

Features:

Figures (5) ; Maps; References (18) ; Tables (5)

Identifier Terms:

Geographic Terms:

Subject Areas:

Data and Information Technology; Operations and Traffic Management; Public Transportation; I72: Traffic and Transport Planning

Files:

TRIS, TRB, ATRI

Created Date:

Jan 12 2016 6:04PM

More Articles from this Serial Issue: