DocumentCode :
3084217
Title :
An Efficient Freeway Traffic Information Monitoring Systems Based on Wireless Sensor Networks and Floating Vehicles
Author :
Yu, Huaping ; Guo, Mei
Author_Institution :
Coll. of Comput. Sci., Yangtze Univ., Jingzhou, China
fYear :
2010
fDate :
17-19 Sept. 2010
Firstpage :
1065
Lastpage :
1068
Abstract :
Applications of wireless sensor networks (WSN) in road traffic information collecting are rapidly expanded. Recent studies reveal only using floating vehicle technology as a solution to collect freeway traffic information has the disadvantages of long data packet delivery delay and big delay dithering. The usage of WSN in ITS is expected to be able to overcome the above difficulties. This paper proposes an efficient traffic information collection algorithm based on WSN and floating vehicle technologies. And a simulation for analyzing and evaluating the performances of this algorithm is implemented. The result shows that the proposed algorithm can remarkably improve the network performances in terms of delay and energy, ensure the urgency data to be propagated effectively and prolong the network life span. It is characterized with higher cost performance, flexibility and control efficiency comparing with the current freeway monitoring system based on single floating vehicle technology or single WSN technology.
Keywords :
computerised monitoring; traffic information systems; wireless sensor networks; big delay dithering; floating vehicle technology; freeway traffic information monitoring systems; long data packet delivery delay; network life span; road traffic information; traffic information collection algorithm; wireless sensor networks; Decision support systems; Pervasive computing; Signal processing; data collection; floating vehicle; freeway traffic information; wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pervasive Computing Signal Processing and Applications (PCSPA), 2010 First International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-8043-2
Electronic_ISBN :
978-0-7695-4180-8
Type :
conf
DOI :
10.1109/PCSPA.2010.262
Filename :
5635693
Link To Document :
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