Abstract
College students are special because they relatively have tighter in economy but have greater consistency in leisure time. They prefer to go out together with schoolfellows due to higher trusts and closeness. Moreover, the electronic map is difficult to be updated. Campus-roads recently are updated rapidly. And many alleys in campuses are not shown in the electronic map. Therefore, we devise and implement a campus carpooling system based on GPS trajectories. It includes three parts. Firstly, the campus road network is extracted based on GPS trajectories. Next, the shortest sharing path in the campus is computed in terms of the campus road network. Then, passengers are matched automatically by the carpooling matching algorithm (CMA) in our system. Experiments show that our system is able to provide a safer and more comfortable carpooling experience for college students.
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Acknowledgments
This work is supported by National Nature Science Foundation of China (Grant No. 41871320); the Provincial and Municipal Joint Fund of Hunan Provincial Natural Science Foundation of China (Grant No. 2018JJ4052); Hunan Provincial Natural Science Foundation of China (Grant No. 2017JJ2099 and 2017JJ2081); Hunan Provincial Education Department of China (Grant No. 18B200, 17C0646, and 10C0688); Undergraduate Scientific Research Innovation Plan of Hunan University of Science and Technology (Grant No. SYZ2018042).
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Wang, X. et al. (2019). A Campus Carpooling System Based on GPS Trajectories. In: Wang, G., Feng, J., Bhuiyan, M., Lu, R. (eds) Security, Privacy, and Anonymity in Computation, Communication, and Storage. SpaCCS 2019. Lecture Notes in Computer Science(), vol 11637. Springer, Cham. https://doi.org/10.1007/978-3-030-24900-7_24
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DOI: https://doi.org/10.1007/978-3-030-24900-7_24
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