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- short-paperApril 2017
Social Sensing in Developing Regions: Challenges for Bus Arrival Time Prediction
SocialSens'17: Proceedings of the 2nd International Workshop on Social SensingPage 105https://doi.org/10.1145/3055601.3055622The design of crowdsourcing applications to supplement public transportation information systems have generally assumed availability of high-speed Internet connection coupled with high data sampling and gathering via data-hungry application interfaces. ...
- short-paperApril 2017
Frugal Crowd Sensing for Bus Arrival Time Prediction in Developing Regions: Poster Abstract
IoTDI '17: Proceedings of the Second International Conference on Internet-of-Things Design and ImplementationPages 355–356https://doi.org/10.1145/3054977.3057328The design of crowd sensing applications that can supplement public transportation information systems have generally assumed availability of high-speed Internet connections coupled with high data sampling and gathering via data-hungry application ...
- research-articleJune 2012
How long to wait?: predicting bus arrival time with mobile phone based participatory sensing
MobiSys '12: Proceedings of the 10th international conference on Mobile systems, applications, and servicesPages 379–392https://doi.org/10.1145/2307636.2307671The bus arrival time is primary information to most city transport travelers. Excessively long waiting time at bus stops often discourages the travelers and makes them reluctant to take buses. In this paper, we present a bus arrival time prediction ...
- ArticleJune 2012
Bus Arrival Time Prediction Based on the k-Nearest Neighbor Method
CSO '12: Proceedings of the 2012 Fifth International Joint Conference on Computational Sciences and OptimizationPages 480–483https://doi.org/10.1109/CSO.2012.111In this paper, a modified k-nearest neighbor (k-NN) method integrating the cluster analysis and principal component analysis is applied to bus arrival time (BAT) prediction using historical bus GPS data. The methodology of the k-NN method based on ...
