Pune Urban Data Exchange (PUDX) Datathon

        Important Dates

  • Registration Starts : 8th Nov
  • Registration Ends: 22nd Nov
  • Submission Starts: 25th Nov
  • Submission Ends: 7th Dec
  • Winners Shortlisting: 10th Dec
  • Demo by winners & Awards: 13th Dec

Pune Urban Data Exchange (PUDX) Datathon

The PUDX Datathon is being organized jointly by Indian Institute of Science , IISc-Robert Bosch Centre for Cyber Physical Systems (RBCCPS) IISc-Cisco Centre for Networked Intelligence(CNI), Pune Smart City Development Corporation (PSCDCL) with support from Smart Cities Mission, Ministry of Housing and Urban Affairs (MoHUA)The goal of the Datathon is to develop innovative solutions based on India Urban Data Exchange (IUDX), an open source data exchange platform aimed at enabling cities to harness full potential of the enormous data being generated in our smart cities. In particular, the Datathon will be based on PUDX (Pune Urban Data Exchange) which is an instance of IUDX foPune Smart City. The IUDX envisages the following stake holders for collaboration – Academia, Startups, Government departments, Industry, City administration and Citizen.


  1. Click on the registration page (Registration link)
  2. The solution needs to be submitted before Datathon. (Details for submission will be provided later)
  3. Leader board shows current score of the submission for different usecases.
  4. The team should develop the solution for Datathon based on published IUDX API.
  5. The Datathon Demos for winners will be held on 13th December.  


  • Registration Starts: 8th November
  • Registration Ends: 22nd November 
  • Submission Starts: 25th November 
  • Submission Ends: 7th December 
  • Winners Shortlisting: 10th December 
  • Demo by winners & Awards 13th December 

Prizes will be given for two categories: Data Analytics Solution and Proof of Concept Application, using that solution, for each of the use cases below. 

The Datathon will be based on following use cases 

Use Case 1: Smart ITMS Bus Tracking 

Traffic problem is one of the most frustrating experiences in India’s bustling cities. Mitigating this will require a multi-disciplinary and collaborative approach involving active participation from all stakeholders in the city. Real-time data will go a long way in enabling smart solutions to address these issues. Such data can come from a diverse set of public and private sources – from field sensors, crowd sourced data, traffic cameras, fleet operators, transport companies, logistics, map service providers etc. IUDX will enable all these players to safely and securely share their data, either for free or on commercial terms. Public transport needs to be made more efficient on the lines of private ridesharing companies. This will not only reduce congestion, improve occupancy & revenues, but also provide public convenience in city transport. 

Use Case 1 – Data Analytics Problem Statement: 

Predict the Expected Time of Arrival (ETA) of a PMPML Bus at given bus stops for a given trip along with the occupancy level (depending on the availability of occupancy data) of the given bus.

For the Datathon, the following data from Pune City will be made available via PUDX 

  • Live and Archival ITMS Bus Data (from PMPML)GPS location data is provided to detect live status of ITMS bus with route maproute ID and stop sequence
  • Location of bus stops and route IDs (from PMPNL in GTFS Static File Format )
  • Traffic incident reporting (TomTom) The data is provided to detect different type of Traffic incidences such as slowing traffic, queuing traffic, stationary traffic and roadwork at different junctions
  • AFCS data (PMPML) [Depending on availability]Archived AFCS (Automated Fare Collection System) data will be provided. This will help to extract current occupancy in ITMS Bus.
  • MAP data from Google API or Open Street API can be used.

Limited trial data is already available via PUDX. Full data will be available from Nov 15, 2019. 
Evaluation: Solution will be evaluated against a test dataset.

Use Case 1 – Citizen App Problem Statement  

Embed the algorithm from part 1 into an app, which will be easy to use. The app can be Smartphone app or Web app 
Evaluation: App will be judged for ease of use, adaptability to new data. 

Use Case 2: Pollution Exposure 

Imagine having a live Pollution score, customized for every Citizenthat gets updated periodically throughout the day, reflecting the quality of air inhaled by the citizen. Such information can be used tmonitor an individual’s exposure to pollution and correlate with their healthMany cities have deployed a diverse set of pollution monitors: High end pollution sensors deployed by central and state pollution boards, medium end pollution sensors deployed by smart city and lowcost citizen deployed sensors.  Calculating the pollution load, customized for a specific individual, will require combining static and dynamic data from a diverse set of sources in a way that best estimates their pollution exposure.  

Use Case 2 – Data Analytics Problem Statement:

Estimate PM2.5 concentration at specific locations and times.  

The following data from Pune City will be made available via PUDX 

  • Air Quality data from pollution sensorsThe data contains PM 2.5 concentration along with other AQM parameters (e.g., C02, C0, S02, PM10 etc.) at various locations. 
  • Rainfall data from IITM sensors from 9 locations in Pune.
  • Possible availability of WAQI data from IITM sensors from 9 locations in Pune.
  • MAP data from Google API or Open Street API can be used.

Limited trial data is already available via PUDX. Full data will be available from Nov 15, 2019.
Evaluation: Solution will be evaluated against test dataset.

Use Case 2 – Citizen App Problem Statement  

Embed the algorithm from part 1 into an app, which will be easy to use. The app can be Smartphone App or Web app 
Evaluation: App will be judged for ease of use, adaptability to new data. 

Use Case 3: Flood Sensor Data Visualization

Flooding has been a serious problem in Pune this year. Can we help the city authorities to better visualize this data so that they can understand it, draw insights and take steps to plan better for coming years? 

Use Case 3 – Problem Statement:

Develop an app to visualize flood sensor data analysis.

The following data from PUDX is available 

  • Flood sensor data. The data for Mula riverbed is provided. 
  • Rainfall data from IITM sensors from 9 locations in Pune.
  • Open Weather API data can be used.

Limited trial data is already available via PUDX. Full data will be available from Nov 15, 2019.
Evaluation: Based on visualizationkinds of analyses supported, ease of use and adaptability to new data sets.

The app can be Smartphone app or Webapp.


  1. IUDX API documentation –  https://apidocs.iudx.org.in/
  2. Python IUDX SDK – https://github.com/iudx/pyIUDX
  3. PUDX – https://pudx.catalogue.iudx.org.in

PUDX Launch Program


December 13th 2019

Chief Guest

Mr. Kunal Kumar, IAS
Joint Secretary and Mission Director,
Smart Cities Mission, MoHUA 


Pune Smart City Operation Centre


Smart City CEO’s, Other Dignitaries


Data Science 

  • Document
    • Design Methodology
    • Algorithm overview 
    • Training and Testing strategy 
    • List & Data sources from PUDX that have been used
    • List of sources outside PUDX that have been used 
  • Software
    • Submission details will be provided shortly


  1. Link to the application (either for download or webapp) 
  2. User manual  
  3. Brief Presentation explaining the key features of the app, with a short demo video             


  1. Teams can attempt one or more of the prize categories (see prize matrix below) 
  2. Multiple teams from the same organization can participate
  3. Team size should be limited to a maximum of 4 people 
  4. Licensing violation and plagiarism not allowed. If any violation found participants will be disqualified 
  5. Jury decision is final 

Please send your enquiries to office.iudx@gmail.com


The winners will be presented with Cash award and Opportunity to work with mentors for further commercialization. In addition, winners will be eligible for consideration for a workorder/grant from PSCDCL for a pilot project.  

Prize Matrix

Category Use Case Problem 1st Prize 2nd Prize 
1 PMPML Bus ETA Data Analytics 50k 10k 
2 PMPML Bus ETA Citizen App 50k 10k 
3 Pollution Exposure Data Analytics 50k 10k 
4 Pollution Exposure Citizen App 50k 10k 
5 Flood Warning Visualization App 50k 10k 

About IUDX 

MoHUA has announced initiation of a research project with Indian Institute of Science (IISc), Bangalore titled “India Urban Data Exchange (IUDX), an open source software platform aimed at enabling cities to harness full potential of the enormous data being generated in our smart cities. 

Indian Institute of Science (IISc), Bangalore, is working with a broad set of institutions consisting of industry, government agencies, start-ups, entrepreneurs, other academia and research organizations, to develop the first specifications and reference implementation of IUDX. 

About Pune Smart City Development Corporation 

Pune Smart City Development Corporation Limited (PSCDCL)” was formed on 23rd March 2016 as a Special Purpose Vehicle (SPV) under Smart City Mission for implementation of Smart City Projects iPune. 

About MoUHA 

Ministry of Housing and Urban Affairs, Government of India, is the apex body for formulation and administration of the rules and regulations and laws relating to the housing and urban development in India.