Impact of traffic diversion with ATIS on travelers' safety

    Authors

    H. M. Al-Deek; S. S. Ishak;A. E. Radwan

    Comments

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    Abbreviated Journal Title

    Comput. Ind. Eng.

    Keywords

    Computer Science, Interdisciplinary Applications; Engineering, ; Industrial

    Abstract

    This study investigates the potential impact of diverting traffic from freeways under incident conditions to arterials with Advanced Traveler Information Systems (ATIS). Accident prediction models are developed for freeways and arterials. Traffic safety was calculated utilizing a simple network composed of a freeway and a parallel arterial and intended to represent a realistic traffic corridor in Orlando,FIor. It was found that the overall traffic safety (expressed as the probability that no accident is observed during a specific time period) was reduced on the network as a result of diverting traffic from the freeway to the arterial up to the critical percentage of vehicles equipped with ATIS which is sufficient to congest the parallel arterial. When the percentage of vehicles equipped with ATIS exceeds the critical fraction, (P-cr), safety remained fairly unchanged since traffic equilibrium has been reached. The safety improvement on the freeway was almost constant, though. A variety of incident scenarios were simulated using a traffic diversion model, and regression techniques were used to model the network safety as a function of network and incident parameters. It was found that the increase in percentage of vehicles equipped with ATIS may reduce the overall safety on the network when traffic is diverted from freeways to less safe arterials. Since the developed accident models were based on data from the Orlando area, the results of this study may not be applicable to other locations. It is important to conduct a similar type of analysis on a more complicated large scale network to see if the impact of ATIS on traffic safety reported in this paper can be generalized. (C) 1998 Elsevier Science Ltd. All rights reserved.

    Journal Title

    Computers & Industrial Engineering

    Volume

    34

    Issue/Number

    2

    Publication Date

    1-1-1998

    Document Type

    Article

    Language

    English

    First Page

    547

    Last Page

    558

    WOS Identifier

    WOS:000073473700022

    ISSN

    0360-8352

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