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Title:

Band Finder: Vehicular Trajectory-Driven Method for Signalized Corridor Control Under Connected and Automated Vehicles (C/AV) Environment

Accession Number:

01628743

Record Type:

Component

Abstract:

This research presents a signal control strategy utilizing vehicular trajectory-driven optimization method. Band Finder provides individual drivers equipped with opt-in device (i.e. smartphone or tablet) with advisory speed information enabling to minimize overall travel time of the vehicle while negotiating signalized corridor. Signal status parameters such as cycle length and remaining green/red time are continuously captured. At the same time in-vehicle unit provides vehicle position information through cell-phone global positioning system (GPS) receiver. Both inputs are then used by optimization algorithm to provide optimal vehicle speed that will achieve minimal vehicle delay along the signalized corridor. To calculate the most optimal advisory speed for individual vehicles a non-linear optimization algorithm was utilized. The concept was evaluated using microsimulation in PTV VISSIM. The results for selected signalized corridor in Woodbridge, New Jersey indicate 1.2% to 5.4 % reduction in overall corridor travel time depending on different market penetration and traffic volume conditions.

Supplemental Notes:

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

Monograph Accession #:

01618707

Report/Paper Numbers:

17-05697

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Gutesa, Slobodan
Lee, Joyoung
Besenski, Dejan

Pagination:

19p

Publication Date:

2017

Conference:

Transportation Research Board 96th Annual Meeting

Location: Washington DC, United States
Date: 2017-1-8 to 2017-1-12
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Uncontrolled Terms:

Geographic Terms:

Subject Areas:

Data and Information Technology; Highways; Operations and Traffic Management

Source Data:

Transportation Research Board Annual Meeting 2017 Paper #17-05697

Files:

TRIS, TRB, ATRI

Created Date:

Dec 8 2016 12:17PM