Please use this identifier to cite or link to this item: http://localhost:8081/xmlui/handle/123456789/7175
Title: INCIDENT MANAGEMENT USING INTELLIGENT TRANSPORT SYSTEM
Authors: Kumar, Poosarla Eswar Rama
Keywords: CIVIL ENGINEERING;INCIDENT MANAGEMENT;INTELLIGENT TRANSPORT SYSTEM;INCIDENT MANAGEMENT USING INTELLIGENT TRANSPORT SYSTEM
Issue Date: 2001
Abstract: The Incident Management Using Intelligent Transport System (IMITS) aims for the reduction in traffic congestion, to increase transportation efficiency by increasing the mobility, safety and by reducing environmental pollution whereby use the advanced technologies of communication, navigation, and information system. Despite major expenditure on road infrastructure, traffic congestion continues to rise. Incidents cause bottlenecks on the roadway slowing down or even stopping traffic. Automatic incident detection and congestion monitoring are important functions of both urban and interurban traffic control. Incident detection is particularly important at level crossings and at other locations of high risks. Congestion can be classified as recurrent and non-recurrent. Recurrent congestion is a known occurrence that can be addressed by employing different measures ranging from the building of new roads to ride sharing programs. Non-recurrent congestion is largely produced by traffic accidents, such as vehicle disablement and flat tries. Congested traffic conditions are one of the main reasons for traffic accidents. Recurrent congestion is caused by the peak hour traffic flow exceeding the available roadway capacity. Incident management is the coordination of activities undertaken by one or more agencies to restore traffic flow to normal conditions after an incident has occurred. A well-organized coordinated incident management operation will reduce the cost of the incident in terms of delay and wasted fuel. In this thesis, a conceptual model for Incident Management has been developed. The model has been applied for NH-58 near Roorkee Bus Stand. The volume, speed and accident data are obtained from video graphic survey and iii license plate method and are fed/accepted by this model and analyzed about congestion. This information can be transmitted through Variable Message Signs, or passed to traffic police personnel's. This information may be placed in such a manner where the driver inside the vehicle can access it.
URI: http://hdl.handle.net/123456789/7175
Other Identifiers: M.Tech
Research Supervisor/ Guide: Jain, S. S.
Kumar, Praveen
metadata.dc.type: M.Tech Dessertation
Appears in Collections:MASTERS' THESES (Civil Engg)

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