The Bengaluru Mobility Challenge 2024 is an exciting hackathon aimed at developing innovative solutions to improve traffic management and mobility planning in Bengaluru, one of India’s most congested cities. Co-sponsored by the Bengaluru Traffic Police, the Centre of Data for Public Good, and the Indian Institute of Science (IISc), this event will leverage AI and geospatial technologies to tackle this pressing urban challenge.
The hackathon will have two phases:
- Short-term Traffic Volume Prediction: Participants will use camera feeds from 23 Safe City cameras in northern Bengaluru to provide short-term (30 minutes into the future) predictions of vehicle counts, vehicle types, and turning patterns at various junctions and points in the road network.
- Vehicle Re-identification and Origin-Destination Flow Estimation: In this phase, participants will re-identify vehicles seen at some locations and estimate the origin-destination (O-D) flows for that part of the network. These O-D flow estimates are critical for transportation planning and analysis.
The top teams from each phase will be recognized at the CyberPhysical Systems Symposium (CyPhySS) 2024 and the Symposium of Data for Public Good at IISc, where the final winners will also be announced.
All finalist teams will be required to make their source code open-source under the Apache 2.0 license, so that the insights and algorithms can be applied at a larger scale to benefit the entire city of Bengaluru and potentially other cities in India.
This hackathon presents an excellent opportunity for data scientists, transportation engineers, and urban planners to collaborate and develop solutions that can transform traffic management in one of India’s most congested cities. Interested participants can register for the event on the Data for Public Good website.
