{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:18:36Z","timestamp":1750220316585,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":13,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,1,8]],"date-time":"2022-01-08T00:00:00Z","timestamp":1641600000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Tamil Nadu Health Systems Project, under Tamil Nadu Road Sector Project II funded by World Bank"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,1,8]]},"DOI":"10.1145\/3493700.3493732","type":"proceedings-article","created":{"date-parts":[[2022,1,7]],"date-time":"2022-01-07T23:54:21Z","timestamp":1641599661000},"page":"162-168","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Automated Incident Location Identification for EMS from Ambulance Geospatial Data"],"prefix":"10.1145","author":[{"given":"Sruthikeerthi","family":"Nandita","sequence":"first","affiliation":[{"name":"Robert Bosch Centre for Data Science and AI, IIT Madras, IN"}]},{"given":"Goutham","family":"Zampani","sequence":"additional","affiliation":[{"name":"Robert Bosch Centre for Data Science and AI, IIT Madras, IN"}]},{"given":"Gokul","family":"S Krishnan","sequence":"additional","affiliation":[{"name":"Robert Bosch Centre for Data Science and AI, IIT Madras, IN"}]},{"given":"Gitakrishnan","family":"Ramadurai","sequence":"additional","affiliation":[{"name":"Robert Bosch Centre for Data Science and AI, IIT Madras, IN and Department of Civil Engineering, IIT Madras, India"}]},{"given":"Balaraman","family":"Ravindran","sequence":"additional","affiliation":[{"name":"Robert Bosch Centre for Data Science and AI, IIT Madras, IN and Department of Computer Science and Engineering, IIT Madras, India"}]}],"member":"320","published-online":{"date-parts":[[2022,1,8]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jtrangeo.2020.102889"},{"key":"e_1_3_2_1_2_1","unstructured":"Weishan Dong Jian Li Renjie Yao Changsheng Li Ting Yuan and Lanjun Wang. 2016. Characterizing driving styles with deep learning. arXiv preprint arXiv:1607.03611(2016)."},{"key":"e_1_3_2_1_3_1","volume-title":"Measuring quality in emergency medical services: a review of clinical performance indicators. Emergency medicine international 2012","author":"El\u00a0Sayed J","year":"2012","unstructured":"Mazen\u00a0J El\u00a0Sayed. 2012. Measuring quality in emergency medical services: a review of clinical performance indicators. Emergency medicine international 2012 (2012)."},{"key":"e_1_3_2_1_4_1","unstructured":"Martin Ester Hans-Peter Kriegel J\u00f6rg Sander Xiaowei Xu 1996. A density-based algorithm for discovering clusters in large spatial databases with noise.. In kdd Vol.\u00a096. 226\u2013231."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-30231-5_8"},{"key":"e_1_3_2_1_6_1","unstructured":"William\u00a0A. Haseltine. [n.d.]. EMS Around the World: India\u2019s Sudden System. https:\/\/www.hmpgloballearningnetwork.com\/site\/emsworld\/article\/1222576\/ems-around-world-indias-sudden-system"},{"volume-title":"Machine Learning Paradigms","author":"Kiwelekar W","key":"e_1_3_2_1_7_1","unstructured":"Arvind\u00a0W Kiwelekar, Geetanjali\u00a0S Mahamunkar, Laxman\u00a0D Netak, and Valmik\u00a0B Nikam. 2020. Deep Learning Techniques for Geospatial Data Analysis. In Machine Learning Paradigms. Springer, 63\u201381."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2008.76"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0119044"},{"key":"e_1_3_2_1_10_1","first-page":"1","article-title":"108 in crisis: Complacency and compromise undermine emergency services\u2019 potential","volume":"53","author":"Rajasulochana Subramania\u00a0Raju","year":"2018","unstructured":"Subramania\u00a0Raju Rajasulochana and Daya\u00a0Shankar Maurya. 2018. 108 in crisis: Complacency and compromise undermine emergency services\u2019 potential. Economic and Political Weekly 53, 25 (2018), 1\u20139.","journal-title":"Economic and Political Weekly"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"crossref","unstructured":"Tianqi Xia Xuan Song Haoran Zhang Xiaoya Song Hiroshi Kanasugi and Ryosuke Shibasaki. 2019. Measuring spatio-temporal accessibility to emergency medical services through big GPS data. Health & place 56(2019) 53\u201362.","DOI":"10.1016\/j.healthplace.2019.01.012"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2014.2306382"},{"key":"e_1_3_2_1_13_1","volume-title":"Proceedings of the AAAI Conference on Artificial Intelligence, Vol.\u00a026","author":"Yue Yisong","year":"2012","unstructured":"Yisong Yue, Lavanya Marla, and Ramayya Krishnan. 2012. An efficient simulation-based approach to ambulance fleet allocation and dynamic redeployment. In Proceedings of the AAAI Conference on Artificial Intelligence, Vol.\u00a026."}],"event":{"name":"CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD)","sponsor":["SIGGRAPH ACM Special Interest Group on Computer Graphics and Interactive Techniques"],"location":"Bangalore India","acronym":"CODS-COMAD 2022"},"container-title":["Proceedings of the 5th Joint International Conference on Data Science &amp; Management of Data (9th ACM IKDD CODS and 27th COMAD)"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3493700.3493732","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3493700.3493732","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:11:51Z","timestamp":1750191111000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3493700.3493732"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,8]]},"references-count":13,"alternative-id":["10.1145\/3493700.3493732","10.1145\/3493700"],"URL":"https:\/\/doi.org\/10.1145\/3493700.3493732","relation":{},"subject":[],"published":{"date-parts":[[2022,1,8]]},"assertion":[{"value":"2022-01-08","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}