Singh, B. and Hasbullah, H. and Nayan, M.Y. (2012) A framework for early detection of incident in dense traffic using vehicular ad-hoc networks. In: UNSPECIFIED.
Full text not available from this repository.Abstract
VANETs provide the ability for vehicles to spontaneously and wirelessly network with other vehicles nearby for the purposes of providing travelers with new features and applications. Dense Traffic has become major issue at rush-hours traffic in big cities where congested roads cost over billions in lost worker productivity and over billions gallons of fuel due to traffic incidents. We dispense and prosper a framework for early detection of incident in dense traffic using vehicular ad-hoc networks. We proposed incident detection techniques in dense traffic where Incident Detections Node (IDN) collect On-Board Unit (OBU) data directly from passing vehicles and perform some analysis to detect possible incidents and to be integrate with the Internet. IDN may be used for the advertisement of self-fund generation. These things are good for traffic management can take a proactive role in managing alternative routes to avoid the accident. Therefore, early detection of incident in dense traffic would provide better management of traffic flow. © 2012 IEEE.
Item Type: | Conference or Workshop Item (UNSPECIFIED) |
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Additional Information: | cited By 4; Conference of 2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 ; Conference Date: 12 June 2012 Through 14 June 2012; Conference Code:93334 |
Uncontrolled Keywords: | Alternative routes; Incident detection; Internet of Things (IOT); On-board units; Traffic flow; Traffic incidents; Traffic management; VANET, Information science; Internet; Technology, Vehicular ad hoc networks |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 09 Nov 2023 15:51 |
Last Modified: | 09 Nov 2023 15:51 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/2792 |