The Optimal Carpool Planning Based on IOS Platform
Journal Title: International Journal of Computer Networking, Wireless and Mobile Communications (IJCNWMC) - Year 2017, Vol 7, Issue 6
Abstract
The rapid development of technology has aggravated global warming and air pollution, particularly in metropolises, with high population density. Urban overpopulation has also caused serious traffic problems. The area around the Neihu Technology Park in Taipei City, for example, has long suffered from traffic congestion, during peak hours. To address such urban traffic issues, innovative transportation services are as important as modification, in design of major roads. Taipei City Government, therefore, intends to implement traffic control in favor of high-occupancy vehicles and promote taxi-based carpools so as to alleviate traffic jams. In light of the above, this study focuses on taxi sharing services and on how to make the services more convenient and more flexible by using a mobile application program (or APP for short) supported by the IOS platform. Based on each passengers boarding and alighting locations, which are input into the APP, the APP performs passenger matching and route planning via cloud computing and the NSGA-II algorithm, in order for a taxi driver to view passenger information and the planned shortest route, and for each passenger to know the driver’s information, the route, the vehicle departure time, the estimated arrival time, the fee, and so on. Working on mutual trust, this system features transparency, real-time operation, and traceable riding information to help increase the use of carpools and add more value to vehicle sharing services.
Authors and Affiliations
Her-Shing Wang, Chun-Tze Hsiao, Wei-Chen Dong
Keywords
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