Green Wave Analysis in a Tandem of Traffic-Light Intersections

Anna Oblakova, Ahmad Al Hanbali, Richardus J. Boucherie, Jan C.W. van Ommeren

Research output: Book/ReportReportOther research output

106 Downloads (Pure)

Abstract

Green waves in urban settings are seen to be beneficial both for the drivers and the environment because they lower delays and reduce pollution. To obtain these benefits, it is important to determine the optimal network parameters, e.g., green splits and offsets, that yield the desired traffic behaviour. We consider two possibilities for network optimization. The first one is minimising the average lost time per vehicle; the second one is maximizing the green wave efficiency. We compare the results with the MAXBAND algorithm, which is used at the design stage of arterial traffic light settings to facilitate green waves. Using our optimisation method, the average delay per vehicle can be reduced by up to 10% and more vehicles can encounter a green wave compared to the MAXBAND approach. The reduction of the average delay for the main stream reaches 20%.
Original languageEnglish
PublisherUniversity of Twente, Department of Applied Mathematics
Number of pages11
Publication statusPublished - 1 Aug 2017

Publication series

NameTW-Memoranda
PublisherUniversity of Twente, Department of Applied Mathematics
No.2062
ISSN (Print)1874-4850

Fingerprint

Intersection
Traffic
Network Optimization
Pollution
Driver
Optimization Methods

Keywords

  • fixed traffic-light control
  • green wave
  • stochastic model

Cite this

Oblakova, A., Al Hanbali, A., Boucherie, R. J., & van Ommeren, J. C. W. (2017). Green Wave Analysis in a Tandem of Traffic-Light Intersections. (TW-Memoranda; No. 2062). University of Twente, Department of Applied Mathematics.
Oblakova, Anna ; Al Hanbali, Ahmad ; Boucherie, Richardus J. ; van Ommeren, Jan C.W. / Green Wave Analysis in a Tandem of Traffic-Light Intersections. University of Twente, Department of Applied Mathematics, 2017. 11 p. (TW-Memoranda; 2062).
@book{8fe688427e7b4ceea8b08754c682a09b,
title = "Green Wave Analysis in a Tandem of Traffic-Light Intersections",
abstract = "Green waves in urban settings are seen to be beneficial both for the drivers and the environment because they lower delays and reduce pollution. To obtain these benefits, it is important to determine the optimal network parameters, e.g., green splits and offsets, that yield the desired traffic behaviour. We consider two possibilities for network optimization. The first one is minimising the average lost time per vehicle; the second one is maximizing the green wave efficiency. We compare the results with the MAXBAND algorithm, which is used at the design stage of arterial traffic light settings to facilitate green waves. Using our optimisation method, the average delay per vehicle can be reduced by up to 10{\%} and more vehicles can encounter a green wave compared to the MAXBAND approach. The reduction of the average delay for the main stream reaches 20{\%}.",
keywords = "fixed traffic-light control, green wave, stochastic model",
author = "Anna Oblakova and {Al Hanbali}, Ahmad and Boucherie, {Richardus J.} and {van Ommeren}, {Jan C.W.}",
year = "2017",
month = "8",
day = "1",
language = "English",
series = "TW-Memoranda",
publisher = "University of Twente, Department of Applied Mathematics",
number = "2062",

}

Oblakova, A, Al Hanbali, A, Boucherie, RJ & van Ommeren, JCW 2017, Green Wave Analysis in a Tandem of Traffic-Light Intersections. TW-Memoranda, no. 2062, University of Twente, Department of Applied Mathematics.

Green Wave Analysis in a Tandem of Traffic-Light Intersections. / Oblakova, Anna ; Al Hanbali, Ahmad ; Boucherie, Richardus J.; van Ommeren, Jan C.W.

University of Twente, Department of Applied Mathematics, 2017. 11 p. (TW-Memoranda; No. 2062).

Research output: Book/ReportReportOther research output

TY - BOOK

T1 - Green Wave Analysis in a Tandem of Traffic-Light Intersections

AU - Oblakova, Anna

AU - Al Hanbali, Ahmad

AU - Boucherie, Richardus J.

AU - van Ommeren, Jan C.W.

PY - 2017/8/1

Y1 - 2017/8/1

N2 - Green waves in urban settings are seen to be beneficial both for the drivers and the environment because they lower delays and reduce pollution. To obtain these benefits, it is important to determine the optimal network parameters, e.g., green splits and offsets, that yield the desired traffic behaviour. We consider two possibilities for network optimization. The first one is minimising the average lost time per vehicle; the second one is maximizing the green wave efficiency. We compare the results with the MAXBAND algorithm, which is used at the design stage of arterial traffic light settings to facilitate green waves. Using our optimisation method, the average delay per vehicle can be reduced by up to 10% and more vehicles can encounter a green wave compared to the MAXBAND approach. The reduction of the average delay for the main stream reaches 20%.

AB - Green waves in urban settings are seen to be beneficial both for the drivers and the environment because they lower delays and reduce pollution. To obtain these benefits, it is important to determine the optimal network parameters, e.g., green splits and offsets, that yield the desired traffic behaviour. We consider two possibilities for network optimization. The first one is minimising the average lost time per vehicle; the second one is maximizing the green wave efficiency. We compare the results with the MAXBAND algorithm, which is used at the design stage of arterial traffic light settings to facilitate green waves. Using our optimisation method, the average delay per vehicle can be reduced by up to 10% and more vehicles can encounter a green wave compared to the MAXBAND approach. The reduction of the average delay for the main stream reaches 20%.

KW - fixed traffic-light control

KW - green wave

KW - stochastic model

M3 - Report

T3 - TW-Memoranda

BT - Green Wave Analysis in a Tandem of Traffic-Light Intersections

PB - University of Twente, Department of Applied Mathematics

ER -

Oblakova A, Al Hanbali A, Boucherie RJ, van Ommeren JCW. Green Wave Analysis in a Tandem of Traffic-Light Intersections. University of Twente, Department of Applied Mathematics, 2017. 11 p. (TW-Memoranda; 2062).