Abstract In this paper, a low-power self-service bus arrival reminding algorithm on smart phone is proposed and implemented. The algorithm first determines the current position of the bus by Global Positioning System (GPS) module in smart phone and calculates the linear distance from the bus current position to the destination station, then sets a buffer distance for reminding passengers of getting off the bus, estimates the bus maximum speed and calculates the minimum time of approaching the buffer. In terms of the time, the frequency of the GPS location and the distance calculation between the bus and the destination station is intelligently adjusted. Once the distance to destination station is within the buffer distance, smart phone will immediately remind passengers to get off. The test result shows that the algorithm can timely provide personalized arrival reminding service, efficiently meet the requirements of different passengers and greatly reduce the power consumption of smart phone.

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[11] Zhou P., Zheng Y., and Li B., “How Long to Wait? Predicting Bus Arrival Time with Mobile Phone Based Participatory Sensing,” IEEE Transactions on Mobile Computing, vol. 13, no. 6, pp. 1228-1241, 2014. 264 The International Arab Journal of Information Technology, Vol. 16, No. 2, March 2019 Xuefeng Liu received his BS degree in geology science from China University of Geosciences in 1991 and his PhD degree in Photogrammetry and remote sensing from Wuhan University in 2004. From 2001 to 2004, he has been an Associate Professor in Department of Geographical Information at Yangtze University. From 2005 to 2007, he has been a postdoctoral researcher at Shanghai University. He is presently working as Professor in the school of Communication and Information Engineering, Shanghai University, Shanghai city. His research interests include sensor Web data service, spatial data processing and analysis, remote sensing application, and geological 3D modeling and visualization. Jingjing Fan received his BS degree in communication and information engineering from Tianjin University of Commerce in 2014 and pursuing his MS degree in communication engineering from Shanghai University. His main research filed is sensor communication and event service. Jianhua Mao received his BS in geography science degree from Jiangxi normal University in 1994 and MS in natural geography science degree from Lanzhou University in 1997. He received his PhD degree at Wuhan University in 2002. He is presently working as Associate Professor in the school of Communication and Information Engineering, Shanghai University, Shanghai city. He is having a total of 17 years of teaching experience in various engineering colleges. His research interests include GIS, Data Analysis, and Sensor Event Service. He has published 30 papers in International and National Journals, 12 papers in International conferences and National Conferences. Fenxiao Ye received his BS degree in communication system engineering from Jiangxi University of Science and Technology in 2013 and his MS degree in communication and information engineering from Shanghai University in 2017. He has published two papers in International journals and conference.