Paper Info
Title
Reducing emergency services response time in smart cities: An advanced adaptive and fuzzy approach
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.
Year
DOI
Venue
2015
10.1109/ISC2.2015.7366151
2015 IEEE First International Smart Cities Conference (ISC2)
Keywords
Field
DocType
Traffic Management Systems (TMS),Smart Transport,Smart Cities,Emergency Services,Road Traffic Congestion
Road networks,Computer security,Computer science,Emergency vehicle,Fuzzy logic,Transport engineering,Response time,Road traffic,Adaptive traffic control,Management system,Traffic conflict
Conference
Citations 
PageRank 
References 
4
0.50
6
Authors
4
Name
Order
Citations
PageRank
Soufiene Djahel117621.46
nicolas smith240.50
Shen Wang3221.73
John Murphy459752.43