Intelligent Transport System: An Important Aspect of Emergency Management in Smart Cities

被引:0
作者
Malik, Fehda [1 ]
Shah, Munam Ali [1 ]
Khattak, Hasan Ali [1 ]
机构
[1] COMSATS Inst Informat Technol, Dept Comp Sci, Islamabad, Pakistan
来源
2018 24TH IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND COMPUTING (ICAC' 18) | 2018年
关键词
smart cities; intelligent traffic system; congestion; emergency; TRAFFIC MANAGEMENT;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
An intelligent transport system (ITS) is a vital part of smart cities in order to manage smooth traffic on highways. An active framework is required to manage a smooth traffic on the roads. An excessive growth in urban population is a big challenge for smart cities. Unorganized traffic shows current reality of cities. The current road infrastructure cannot cope with the increased number of vehicles on the roads. This problem can be tackled through the use of Information and the communication technologies (ICT). ITS will reduce delays, traffic congestions, energy consumption and the pollution emission caused by the long delays on roads. This paper presents a framework for intelligent traffic system that will reduce the waiting time for vehicles on the signal. The performance and the scalability of the proposed framework was evaluated through experiments. The results exhibit a significant amount of reduction in waiting time for vehicles on the signal. This will help in controlling the traffic problems efficiently and eventually reducing the number of casualties caused by road accidents.
引用
收藏
页码:165 / 170
页数:6
相关论文
共 14 条
[1]  
[Anonymous], 2017, IOTBASED SMART ARCHI
[2]  
Cardenas-benitez N., 2016, TRAFFIC CONGESTION D
[3]  
Djahel S., 2015, Reducing Emergency Services Response Time in Smart Cities: An Advanced Adaptive and Fuzzy Approach
[4]  
Djahel S, 2013, INT CONF PERVAS COMP, P340
[5]  
June A., 2014, INTELLIGENT TRAFFIC, V2, P247
[6]  
Kapileswar, 2016, SURVEY URBAN TRAFFIC
[7]  
Liu WW, 2016, ASIA-PAC CONF COMMUN, P337, DOI 10.1109/APCC.2016.7581471
[8]  
Malik F., 2017, ICAC 2017 2017 23 IE, P7
[9]   Traffic Management for Emergency Vehicle Priority Based on Visual Sensing [J].
Nellore, Kapileswar ;
Hancke, Gerhard P. .
SENSORS, 2016, 16 (11)
[10]  
Noori H., REALISTIC URBAN TRAF