With the continuing steady increase of vehicles on Brisbane roads, Brisbane is expected to experience gridlock situations by 2011 unless significant changes are made to roadways or methods of transport. Intelligent transport systems are one of the limited responses remaining to reducing traffic congestion. As there is a limit to how much additional area may be devoted to roadways, it is vital that to ensure that current roadway networks are managed to their full potential.
Intelligent Transport Systems can be evaluated either by field research or by laboratory simulation models. Field research is extremely costly and time consuming. Simulation is a more appropriate way of evaluating Intelligent Transport Systems.
The Gateway Bridge is vital to the South East Queensland region as it provides access to Brisbane Airport and the Port of Brisbane. Current traffic volumes are considered to be approaching the capacity of the Bridge under its current toll plaza configuration. This thesis evaluates the implementation of an Intelligent Transport System approach to improving the capacity of the current toll plaza configuration.
Using AIMSUN, a microscopic simulation package, the thesis developed a model of the Gateway Bridge for the purpose of evaluating toll collection performance. Toll booth delay and section time data were collected in the field enabling the construction and calibration of a base model that closely resembled the current situation. Calibration was to an adequate confidence level to ensure integrity of results.
A number of scenarios were run aimed at quantifying the performance of different toll collection mechanisms and analysing the impact fully automated E toll systems would have on future flows
Results from this Intelligent Transport Systems evaluation, showed that four fully automated E toll lanes could support expected 2011 traffic flows.