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Issue title: Recent advancements in computer, communication and computational sciences
Guest editors: K.K. Mishra
Article type: Research Article
Authors: Zhou, Guilianga; b; f | Liu, Zhiqianga; * | Shu, Wannengc | Bao, Tianwend; b | Mao, Linab; e | Wu, Dingxinb; e | Feng-Qiu, g
Affiliations: [a] School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang, China | [b] Faculty of Transportation Engineering, Huaiyin Institute of Technology, Huaian, China | [c] College of Computer Science, South-Central University for Nationalities, Wuhan, China | [d] School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China | [e] School of Transportation, Southeast University, Nanjing, China | [f] Key Laboratory for Traffic and Transportation Security of Jiangsu Province, Huaian, China | [g] Department of Computer Science, University of Victoria, BC, Canada
Correspondence: [*] Corresponding author. Zhiqiang Liu, School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China. Tel.: +86 15952336878; Fax: +86 51783559197; E-mail: [email protected].
Abstract: Smart city relies on the smart transportation. And the smart savings on private car pooling based on internet of vehicles will greatly facilitate the expansion of smart transportation. The paper puts forward the smart savings scheme for private car pooling, establishes the dynamic relationship of human – vehicle – road during carpooling process basing on internet of vehicles. We applied the route recommendation technology, information matching technology, information notification technology, dynamic information searching technology and collaborative route optimization technology to the carpooling system to improve the real-time, accuracy and efficiency of carpooling process in uncertain dynamic demand market and realize the smart savings on private car pooling. Finally, we take an area of Huai’an as example to verify the feasibility of the program and technologies. The experimental results show that the carpooling program (TCP) increased 40% on the private car seat utilization, saved 30.7% on the total travel cost and 38.4% on total travel time than the other existing carpooling program (TECP).
Keywords: Internet of vehicles, private car pooling, smart savings, carpool program, carpooling technology research
DOI: 10.3233/JIFS-169311
Journal: Journal of Intelligent & Fuzzy Systems, vol. 32, no. 5, pp. 3785-3796, 2017
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