One of the important components of Intelligent Transport Systems (ITS) are the Advanced Traveller Information Systems (ATIS) that provide traffic information to manage traffic flow on existing road networks more efficiently. / Variable Messages Signs (VMS) are one of the key instruments of ATIS for providing en-route traveller information. These signs offer significant potential to resolve urban traffic management issues, such as reducing congestion and increasing network efficiency. The system also delivers considerable personal benefits by assisting drivers to make route choice decisions. / Much research has validated the effectiveness of VMS information on route choice decisions, however, the relationship between route choice behaviour and information content is still not clear. Also, the results show large variation when factors such as the influence of road type, toll roads and degree of congestion are considered. / The primary aims of this research are to investigate route choice behaviour in response to the message content of VMS and to develop route choice models targeted on an arterial road in the Adelaide Central Business District (CBD). The study investigates the influences of VMS message content on drivers taking into account their differing characteristics and experience, including socio-economic factors and trip characteristics. / Two major surveys, a stated preference (SP) survey and a revealed preference (RP) survey, were performed. An anonymous mail-back SP survey questionnaire was conducted with residents along a target route in Adelaide in order to collect drivers' route choice behaviour in response to hypothetical VMS messages. The RP survey was conducted to collect data in the real world situation. A VMS message was displayed to drivers and actual route choice behaviour was measured using anonymous mail-back questionnaires and by observation of traffic volumes. A total of 245 (of 1000 distributed) and 183 (of 500 distributed) replies were used for model development. / A binary logit approach was employed to develop route choice models using data obtained from the SP survey. Goodness-of-fit and hypothesis testing of the model showed that the developed models fitted the data well and estimated parameters were statistically significant at the 5% level. / Thesis (MEng(TransportSystemsEng))--University of South Australia, 2004.
| Identifer | oai:union.ndltd.org:ADTP/267385 |
| Creators | Furusawa, Hirofumi. |
| Source Sets | Australiasian Digital Theses Program |
| Language | English |
| Detected Language | English |
| Rights | copyright under review |
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