- Title
- Priority based and secured traffic management system for emergency vehicle using IoT
- Creator
- Chowdhury, Abdullahi
- Date
- 2016
- Type
- Text; Conference proceedings
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/154243
- Identifier
- vital:11058
- Identifier
-
https://doi.org/10.1109/ICEMIS.2016.7745309
- Identifier
- ISBN:9781509055791 (ISBN)
- Abstract
- Intelligent Traffic System (ITS) is one of the most recent research topics in the Internet of Things (IoT). The ever increasing number of vehicles in modern cities is creating heavy traffic congestion. To reduce the traffic congestion, a number of research have already been done to provide a clear pathway to the emergency vehicles in the urban area. However, they often fail to meet the target travel time of an emergency vehicle set by the Department of Treasury and Finances Budget and Financial Management Guidance (BFMG). To address this issue directly, an innovative ITS system considering the priorities of emergency vehicles based on the type of an incident and a method for detecting and responding to the hacking of traffic signals have been proposed in this paper. An experiment using a simulation software, namely Simulation of Urban Mobility (SUMO) was conducted. The simulation results have exhibited superior performance of our proposed system over the currently operational and recently proposed ITS for emergency vehicles, in terms of both congestion avoidance and travel time. The response time attained by our scheme meets the target set by BFMG for both normal and hacked traffic signals. © 2016 IEEE.; Proceedings - 2016 International Conference on Engineering and MIS, ICEMIS 2016
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Relation
- 2016 International Conference on Engineering and MIS, ICEMIS 2016; Agadir, Morocco; 22nd-24th September 2016; published in Proceedings - 2016 International Conference on Engineering and MIS, ICEMIS 2016 p. 1-6
- Rights
- Copyright © 2016 IEEE.
- Rights
- This metadata is freely available under a CCO license
- Subject
- Hacking Traffic Signals; Intelligent Traffic System; Internet of Things; Traffic Management System
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