Reducing emergency services response time in smart cities: An advanced adaptive and fuzzy approach

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Title: Reducing emergency services response time in smart cities: An advanced adaptive and fuzzy approach
Authors: Djahel, SoufieneSmith, NicolasWang, ShenMurphy, John
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Date: 28-Oct-2015
Online since: 2020-03-16T11:16:13Z
Abstract: Nowadays, the unprecedented increase in road traffic congestion has led to severe consequences on individuals, economy and environment, especially in urban areas in most of big cities worldwide. The most critical among the above consequences is the delay of emergency vehicles, such as ambulances and police cars, leading to increased deaths on roads and substantial financial losses. To alleviate the impact of this problem, we design an advanced adaptive traffic control system that enables faster emergency services response in smart cities while maintaining a minimal increase in congestion level around the route of the emergency vehicle. This can be achieved with a Traffic Management System (TMS) capable of implementing changes to the road network's control and driving policies following an appropriate and well-tuned adaptation strategy. This latter is determined based on the severity of the emergency situation and current traffic conditions estimated using a fuzzy logic-based scheme. The obtained simulation results, using a set of typical road networks, have demonstrated the effectiveness of our approach in terms of the significant reduction of emergency vehicles' response time and the negligible disruption caused to the non-emergency vehicles travelling on the same road network.
Funding Details: Science Foundation Ireland
Type of material: Conference Publication
Publisher: IEEE
Copyright (published version): 2015 IEEE
Keywords: Traffic management systems (TMS)Smart transportSmart citiesEmergency servicesRoad traffic congestion
DOI: 10.1109/ISC2.2015.7366151
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Language: en
Status of Item: Peer reviewed
Is part of: 2015 IEEE First International Smart Cities Conference (ISC2)
Conference Details: The First IEEE International Smart Cities Conference (ISC2-2015), Guadalajara, Mexico, 25-28 October 2015
ISBN: 9781467365529
Appears in Collections:Computer Science Research Collection

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