Unsupervised annotated city traffic map generation
Public bus services in many cities in countries like India are controlled by private owners, hence, building up a database for all the bus routes is non-trivial. In this paper, we leverage smart-phone based sensing to crowdsource and populate the information repository for bus routes in a city. We have developed an intelligent data logging module for smartphones and a server side processing mechanism to extract roads and bus routes information. From a 3 month long study involving more than 30 volunteers in 3 different cities in India, we found that the developed system, CrowdMap, can annotate bus routes with a mean error of 10m, while consuming 80% less energy compared to a continuous GPS based system.
|Keywords||Crowdsourcing, Map generation, City transports|
|Conference||ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems|
Verma, R, Ghosh, S, Shrivastava, A, Ganguly, N, Mitra, B, & Chakraborty, S. (2016). Unsupervised annotated city traffic map generation. In Proceedings of the ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. doi:10.1145/2996913.2996942