The effectiveness of Intelligent Transportation Systems (ITS) technologies in enhancing the quality of life in congested urban and suburban areas critically depends on drivers' response to these systems and to the information capabilities that they offer. In particular, Advanced Traveler Information Systems (ATIS) aim to improve network flow conditions through the provision of real-time information to drivers, at the tip origin as well as en route. As decisions about the configuration and deployment of such potentially expensive technologies come under consideration, it is essential to develop the body of fundamental knowledge on driver decision-making processes under real-time information supply strategies. This report is structured as a behavioral research effort to examine the processes underlying commuter decisions on en-route diversions and day-to-day departure time and route choices as influenced by the provision of real-time traffic information. This report presents a series of large-scale laboratory-like experiments in which real commuters interact with and among multiple participants in a traffic network in real-time under various information strategies through a dynamic travel simulator. This simulator considers both the supply side system performance as influenced by driver response to real-time traffic information as well as the demand-side driver behavior as influenced by real-time traffic information based on system performance.


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    Title :

    Dynamics of Urban Commuter Behavior under Real-Time Traffic Information


    Contributors:

    Publication date :

    1999


    Size :

    144 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English