Title: Deployment of intelligent transport systems in public transport
Abstract: Intelligent Transport Systems offer new tools for several different aspects of the management and operation of public transportation. This thesis investigates the deployment of Intelligent Transport Systems in public transport. The research aims to outline the extent of the deployment of ITS in public transport in Australia, with an emphasis on South-East Queensland. It covers the degree of success, limitations of deployment and future recommendations of various technologies. The research methodology and results analysis was based on Chapter 5 of ‘What Have We Learned About Intelligent Transportation Systems’ by Robert F. Casey, which summarises America’s current position on Advanced Public Transport Systems (APTS). APTS technologies included are automatic vehicle location, passenger information, mobile data terminals, electronic ticketing, passenger counters, silent alarms, covert microphones, operations software, vehicle diagnostics and traffic signal priority. Focussing primarily on bus transport, other public transport modes such as train, ferry, tram and taxi are also considered. A review of current literature was undertaken through various library and electronic searches. These searches yielded negligible amounts of information regarding the current deployment of APTS technologies within Australia. Methods of research included surveys and interviews of professionals from government and private agencies and representation at the 8th World Congress on ITS held in Sydney from 30 September to 4 October 2001. The results were widespread and varied from technology to technology and city-to-city. An analysis of the deployment levels, limiting factors and degree of success of the researched technologies are shown in Table 1. One major factor for the lack of implementation of APTS technologies is the cost. However, there is expected to be an increase in deployment levels as the benefits of the technologies are realised.
Publication Year: 2001
Publication Date: 2001-01-01
Language: en
Type: dissertation
Indexed In: ['crossref']
Access and Citation
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot