Road accidents are a serious problem in the world especially in developing countries. Travel time of Emergency Vehicle (EV) is an important parameter in emergency rescue during accidents. The situation can be improved provided the emergency information services like Web based emergency information and management systems which identifies incident, alerts emergency vehicle (EV), estimate travel time, enhance pre-emption control and route the EV. The study proposes a multilayer fuzzy model to determine the degree-of-priority (DOP) based on emergency vehicle pre-emption demand and impact intensity on each road section. The need for preemption control is also identified based on degree of priority. This paper aims to develop travel time estimation model for predicting time of arrival of emergency vehicle at intersection based on Bureau of public roads impedance function (BPR). The paper aims to model traffic flow on multilane Indian arterial roads by evaluating passenger car unit (PCU) of different vehicle classes at different volume levels using micro simulation models, VISSIM. The paper presents an online Web based application for route selection choice for emergency vehicle.


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    Titel :

    Travel Time Estimation and Routing for Emergency Vehicles Under Indian Conditions


    Beteiligte:
    Anil, R. (Autor:in) / Satyakumar, M. (Autor:in) / Jayakumar, Jesh (Autor:in)


    Erscheinungsdatum :

    01.09.2018


    Format / Umfang :

    6576771 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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