2016-10-01
Unsupervised annotated city traffic map generation
Publication
Publication
Presented at the
ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (October 2016), Burlingame, California, USA
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.
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| doi.org/10.1145/2996913.2996942 | |
| ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems | |
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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 |
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