Publication Detail
Advanced Traveler Information Systems: Opportunities and Risks
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UCD-ITS-RP-95-47 Journal Article Download PDF |
Suggested Citation:
Srinivasan, Raghavan, Raghu R. Kowshik, Kenneth M. Vaughn, Karthik K. Srinivasan, John Gard, Paul P. Jovanis, Ryuichi Kitamura (1995) Advanced Traveler Information Systems: Opportunities and Risks. Institute of Transportation Studies, University of California, Davis, Journal Article UCD-ITS-RP-95-47
Proceedings of the American Society of Civil Engineers Transportation Congress
Containing traffic congestion is a serious international problem. Advanced traveler information systems (ATIS) have been proposed as one of many solutions to this problem. ATIS could improve system travel times and speeds by providing drivers with real-time traffic information. It could also provide pre-trip information. In order to design systems that will be useful to the traveler, it is imperative that we understand how travelers would react to different kinds of information in different situations. This paper describes research being conducted at the University of California, Davis to address these issues. The areas of research include: impact of ATIS on route choice, human factors and safety, pre-trip information systems, real-time rideshare matching and rural ATIS systems.
Containing traffic congestion is a serious international problem. Advanced traveler information systems (ATIS) have been proposed as one of many solutions to this problem. ATIS could improve system travel times and speeds by providing drivers with real-time traffic information. It could also provide pre-trip information. In order to design systems that will be useful to the traveler, it is imperative that we understand how travelers would react to different kinds of information in different situations. This paper describes research being conducted at the University of California, Davis to address these issues. The areas of research include: impact of ATIS on route choice, human factors and safety, pre-trip information systems, real-time rideshare matching and rural ATIS systems.