Welcome to the Public Transit Assignment repository! This repository focuses on addressing the transit assignment problem, which plays a crucial role in improving public transit systems. Public transit systems are vital components of urban mobility, providing sustainable, equitable, and cost-effective transportation solutions. However, to make transit an attractive option for travelers, it is essential to understand their complex decision-making process. Factors such as travel time, waiting duration, cost, transfers, service type, and comfort significantly influence transit users' route choices. Meanwhile, operators must make informed decisions regarding routes, schedules, and fares to enhance key performance indicators while considering the potential changes in passenger choices. This repository aims to provide tools, algorithms, and models to help operators make better decisions and improve public transit systems. By addressing the transit assignment problem, we aim to predict travelers' route choices, understand how collective choices impact flows and crowding, and explore actions that operators can take to enhance service levels, ridership, and revenue. Join us in solving this critical facet of improving public transit!
Creators
- Prateek Agarwal
- Ph.D. at Indian Institute of Science (IISc) Bengaluru, India.
- Mail Id: prateeka@iisc.ac.in
- Personal Website
- Tarun Rambha
- Assistant Professor in the Department of Civil Engineering and the Center for Infrastructure, Sustainable Transportation and Urban Planning (CiSTUP) at Indian Institute of Science (IISc) Bengaluru, India.
- Mail Id: tarunrambha@iisc.ac.in
- Personal Website
