Analysis of Traffic Control Systems for better coordination of Traffic Signals

Hagan, Mark (2018) Analysis of Traffic Control Systems for better coordination of Traffic Signals. [USQ Project]


Abstract

Commute times in south-east Queensland have remained steady in recent years. However, increasing population and density means that the daily commute will reach times almost intolerable for most residents. The aim of this project is to investigate whether a number of alternative traffic management strategies would have a desirable impact on the overall performance and operation of a traffic signal network on a major arterial road. Previous studies typically focus on the traffic signal networks timing and offsets of which a substantial amount of resources are already used in designing and maintaining by road authorities. These parameters are sometimes limited by the minor legs meaning they cannot always be changed to favour one desired route.

Using James Street, Toowoomba, as a case study, the existing traffic conditions have been modelled using a traffic network analysis tool to determine the impact these alternate strategies would have on the network. Nine signalised intersections on the route were considered for this research with the traffic data, signal phasing, timing and offsets all obtained from the Department of Transport and Main Roads. Using TRANSYT-7F the existing network conditions were modelled and performance indicators and time-space diagram noted. The alternative traffic management strategies; Dynamic Speed Limit, Restricted Right Turns, Permitted Left Turns on Red Signal and Lane Reassignment were then implemented into the existing model individually and simulated with new performance indicators output and assessed against the existing conditions.

Following the investigation and analysis above, this research project has achieved the predefined objectives. A number of alternative traffic management strategies intended to improve traffic signal network efficiency were identified and analysed accordingly. The results provided road authorities with a proof of concept to pursue future research on the topic or to implement treatments in future projects.


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Item Type: USQ Project
Item Status: Live Archive
Faculty/School / Institute/Centre: Historic - Faculty of Health, Engineering and Sciences - School of Civil Engineering and Surveying (1 Jul 2013 - 31 Dec 2021)
Supervisors: Somasundaraswaran, Soma
Qualification: Bachelor of Engineering (Honours) (Civil)
Date Deposited: 29 Aug 2022 23:43
Last Modified: 29 Jun 2023 01:38
Uncontrolled Keywords: traffic signals; traffic control system
URI: https://sear.unisq.edu.au/id/eprint/40681

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