@inproceedings{06f9acc97b924847a0ab9af8a1c89b4b,
title = "Unsupervised annotated city traffic map generation",
abstract = "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 smart-phones 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 = "City transports, Crowdsourcing, Map generation",
author = "Rohit Verma and Surjya Ghosh and Aviral Shrivastava and Niloy Ganguly and Bivas Mitra and Sandip Chakraborty",
note = "Publisher Copyright: {\textcopyright} 2016 ACM. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.; 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2016 ; Conference date: 31-10-2016 Through 03-11-2016",
year = "2016",
month = oct,
day = "31",
doi = "10.1145/2996913.2996942",
language = "English (US)",
series = "GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems",
publisher = "Association for Computing Machinery",
editor = "Matthias Renz and Mohamed Ali and Shawn Newsam and Matthias Renz and Siva Ravada and Goce Trajcevski",
booktitle = "24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2016",
}