Discovering Trip Patterns from Incomplete Passenger Trajectories for Inter-zonal Bus Line Planning

Abstract : Collecting the trajectories occurring in the city and mining the patterns implied in the trajectories can support the ITS (Intelligent Transportation System) applications and foster the development of smart cities. For improving the operations of inter-zonal buses in the cities, we define a new trip pattern, i.e., frequent bus passenger trip patterns for bus lines (FBPT4BL patterns in short). We utilize the passenger trajectories from bus smart card data and propose a two-phase approach to mine FBPT4BL patterns and then recommend inter-zonal bus lines. We conduct extensive experiments on the real data from the Beijing Public Transport Group. By comparing the experimental results with the actual operation of inter-zonal buses at the Beijing Public Transport Group, we verify the validity of our proposed method.
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Communication dans un congrès
Guang R. Gao; Depei Qian; Xinbo Gao; Barbara Chapman; Wenguang Chen. 13th IFIP International Conference on Network and Parallel Computing (NPC), Oct 2016, Xi'an, China. Springer International Publishing, Lecture Notes in Computer Science, LNCS-9966, pp.160-171, 2016, Network and Parallel Computing. 〈10.1007/978-3-319-47099-3_13〉
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Zhaoyang Wang, Beihong Jin, Fusang Zhang, Ruiyang Yang, Qiang Ji. Discovering Trip Patterns from Incomplete Passenger Trajectories for Inter-zonal Bus Line Planning. Guang R. Gao; Depei Qian; Xinbo Gao; Barbara Chapman; Wenguang Chen. 13th IFIP International Conference on Network and Parallel Computing (NPC), Oct 2016, Xi'an, China. Springer International Publishing, Lecture Notes in Computer Science, LNCS-9966, pp.160-171, 2016, Network and Parallel Computing. 〈10.1007/978-3-319-47099-3_13〉. 〈hal-01647997〉

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