Study of a geo-multicast framework for efficient message dissemination at unmanned level crossings
Data(s) |
2014
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Resumo |
Collisions among trains and cars at road/rail level crossings (LXs) can have severe consequences such as high level of fatalities, injuries and significant financial losses. As communication and positioning technologies have significantly advanced, implementing vehicular ad hoc networks (VANETs) in the vicinity of unmanned LXs, generally LXs without barriers, is seen as an efficient and effective approach to mitigate or even eliminate collisions without imposing huge infrastructure costs. VANETs necessitate unique communication strategies, in which routing protocols take a prominent part in their scalability and overall performance, through finding optimised routes quickly and with low bandwidth overheads. This article studies a novel geo-multicast framework that incorporates a set of models for communication, message flow and geo-determination of endangered vehicles with a reliable receiver-based geo-multicast protocol to support cooperative level crossings (CLXs), which provide collision warnings to the endangered motorists facing road/rail LXs without barriers. This framework is designed and studied as part of a $5.5 m Government and industry funded project, entitled 'Intelligent-Transport-Systems to improve safety at road/rail crossings'. Combined simulation and experimental studies of the proposed geo-multicast framework have demonstrated promising outcomes as cooperative awareness messages provide actionable critical information to endangered drivers who are identified by CLXs. |
Identificador | |
Publicador |
The Institution of Engineering and Technology |
Relação |
DOI:10.1049/iet-its.2013.0061 Ansari, Keyvan, Feng, Yanming, & Singh, Jack (2014) Study of a geo-multicast framework for efficient message dissemination at unmanned level crossings. IET Intelligent Transport Systems, 8(4), pp. 425-434. |
Direitos |
Copyright 2014 The Institution of Engineering and Technology |
Fonte |
School of Electrical Engineering & Computer Science; Science & Engineering Faculty |
Palavras-Chave | #090204 Automotive Safety Engineering #100500 COMMUNICATIONS TECHNOLOGIES #LX #VANET #vehicular ad hoc networks #cooperative level crossings #financial losses #intelligent transport systems #positioning technologies #train collisions #receiver-based geomulticast protocol #road-rail level crossings #unmanned level crossings #routing protocols #motorists #Government and industry funded project #message dissemination #CLX |
Tipo |
Journal Article |