Dynamics of drivers' route choice decisions under advanced traveller information systems

This paper presents the findings from a travel behaviour survey that was conducted on a congested commuting corridor in Brisbane. Drivers' responses to travel information from a variety of sources are analysed and presented. A number of discrete-choice models that were formulated to analyse the impacts of socio-economic, context and information variables on individual behaviour and the propensity to change route and adjust travel patterns are also presented. The results from these models clearly indicate that enroute prescriptive, predictive and quantitative real-time delay information is most effective in influencing drivers to change their routes. The results reported in this paper provide a useful insight into the factors influencing travel behaviour and route choice along the corridor. Furthermore, the behavioural models describing drivers' route choice decisions will also provide road authorities with a valuable tool to design and evaluate effective traveller information strategies aimed at influencing travel behaviour, reducing congestion and enhancing the performance of the road network. Language: en