The papers focus on various aspects of intelligent transportation systems (ITS) (formerly intelligent vehicle-highway systems (IVHS)). Brand and Underwood and Gehring discuss criteria for evaluating IVHS. The approach by Havinoviski et al. is regional; they discuss a study in Orange County, California. Stevens defines concepts for automated highway systems (AHS). Abdel-Aty et al. and Polydoropoulou et al. focus on the influence of traffic information on driver behavior. Daganzo and Lin present a solution to the hydrodynamic model for a freeway carrying morning commuters to a single destination. In the area of artificial intelligence (AI), Chang and Wang use fuzzy set theory to improve freeway incident detection, Hua and Faghri apply artificial neural networks to IVHS, Khasnabis et al. use AI in urban rail corridor control, and Smith and Demetsky use neural networks in short-term traffic flow prediction.


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    Titel :

    Intelligent Transportation Systems: Evaluation, Driver Behavior, and Artificial Intelligence


    Erscheinungsdatum :

    1994


    Format / Umfang :

    112 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch