Team Name : Transpose
Project Title : Traffic Analyzer Dashboard
Team : Abhinav Agarwalla, Abhinav Jain, Kumar Abhinav, Arnav Jain, Mudit Jain
Language Used : Python(Django framework) , HTML , JS , CSS
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We aim to build a City Traffic Dashboard, which would be proficient in extracting out major transport challenges and problems faced by 4 cities namely- Delhi, Mumbai, Bangalore, and Kolkata.
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The dashboard will be preliminary based on social data, print data and open government data.
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It would provide visual insights into city’s biggest traffic problems, and facilitate better monitoring of transport.
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It aims to ease the traffic system.
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We would achieve this, through data mining techniques such as sentiment analysis, soft computing tools, and information extraction techniques.
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Twitter and Facebook extracted data were examined using NLP(Natural Language Processing).
Our dashboard would have the following features:
- Live traffic updates for each mentioned city.
- Graphical representation of various statistics collected to give a deeper insight.
- A heat map of the city depicting frequency of accidents of accidents , traffic congestion, pollution in that area.
- Facebook - (Extracted using Graph API, Search API )
- Facebook Pages
- Traffic Police Pages for each of the mentioned cities
- NGO’s working in this domain
- Activists working in this domain
- Facebook Pages
- Twitter Pages - (Extracted using Twitter Public API, Stream API )
- Tweets from Activists
- Tweets from Traffic Authorities
- Tweets from Traffic Update Portals (For example, Traffline)
- Registered Vehicles
- City Wise
- State Wise
- Tax and Exempted
- Wordlist Data
- Newspapers
- Newspaper Websites
- Local Newspapers
- National Newspapers
- E-Papers available online
- Newspaper Websites
- Traffic Police Websites
- Miscellaneous Data from websites about:
- Congestion
- Noise
- Accidents
- Research Papers and Government Reports in this domain.