Research Article
A Platform Service for Passenger Volume Analysis on Massive Smart Card Data in Public Transportation Domain
@INPROCEEDINGS{10.1007/978-3-030-30146-0_46, author={Weilong Ding and Zhe Wang and Zhuofeng Zhao}, title={A Platform Service for Passenger Volume Analysis on Massive Smart Card Data in Public Transportation Domain}, proceedings={Collaborative Computing: Networking, Applications and Worksharing. 15th EAI International Conference, CollaborateCom 2019, London, UK, August 19-22, 2019, Proceedings}, proceedings_a={COLLABORATECOM}, year={2019}, month={8}, keywords={Spatio-temporal data Smart card data Behavior analysis Passenger volume Platform service}, doi={10.1007/978-3-030-30146-0_46} }- Weilong Ding
Zhe Wang
Zhuofeng Zhao
Year: 2019
A Platform Service for Passenger Volume Analysis on Massive Smart Card Data in Public Transportation Domain
COLLABORATECOM
Springer
DOI: 10.1007/978-3-030-30146-0_46
Abstract
In current public transportation of modern cities, the passenger volume analysis counts the bus passengers in multiple perspectives, and it is significant to optimize the bus scheduling and evaluate transportation capacity. On the smart card data of passengers taking buses, traditional solutions have inherent limitations about long processing delay, inaccuracy result and poor scalability. In this paper, the spatio-temporal correlation with business restrictions is considered, and an effective platform service for passenger volumes analyses are proposed on massive smart card. Our service has been applied in practical usage for three types of passenger volume, and holds minute-level latencies on weekly data with nearly linear scalability in extensive conditions.
