Travel Time Estimation and Routing for Emergency Vehicles Under Indian Conditions

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 a...

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Bibliographic Details
Published in2018 3rd IEEE International Conference on Intelligent Transportation Engineering (ICITE) pp. 247 - 252
Main Authors Anil, R., Satyakumar, M., Jayakumar, Jesh
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2018
Subjects
Analytical models
Automobiles
Business process re-engineering
Calibration
Emergency information and management system
Emergency vehicle
Estimation
Preemption
Roads
Urban areas
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Summary: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.
DOI:10.1109/ICITE.2018.8492696