Please use this identifier to cite or link to this item: http://repository.iiitd.edu.in/xmlui/handle/123456789/776
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dc.contributor.authorDantu, Subramanyam-
dc.contributor.authorGoyal, Tanmay-
dc.contributor.authorJain, Varnit-
dc.contributor.authorJalote, Pankaj (Advisor)-
dc.date.accessioned2019-10-09T07:34:05Z-
dc.date.available2019-10-09T07:34:05Z-
dc.date.issued2019-04-25-
dc.identifier.urihttp://repository.iiitd.edu.in/xmlui/handle/123456789/776-
dc.description.abstractTraffic congestion is a major concern in highly populated metropolitan cities like Delhi, Bangalore, Hyderabad, etc. In developing countries like India, most of the traffic management is done manually. While building better roads, new covers, etc help reduce traffic congestion, we ask the question if existing resources are being used optimally. The aim of our project is to assist the traffic management authorities in Delhi by automating some management processes. Our project is two-fold- the first is automating traffic congestion detection and the second is augmenting the vision of the local traffic cop by providing real-time traffic analysis.en_US
dc.language.isoen_USen_US
dc.publisherIIITD-Delhien_US
dc.subjectTrafficen_US
dc.subjectCongestionen_US
dc.subjectOptimizationen_US
dc.subjectMap my Indiaen_US
dc.subjectAPIsen_US
dc.subjectOpen Street Maps APIen_US
dc.subjectBottleneck Identi ficationen_US
dc.titleTraffic and congestion analysis using online mapping servicesen_US
dc.typeOtheren_US
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