Fan, Huiying (Georgia Institute of Technology), Lyu, Geyu (Georgia Institute of Technology), Liu, Ziming (Georgia Institute of Technology), Guin, Angshuman (URS Corporation), Guensler, Randall (Georgia Institute of Technology)

TransitSim 4.0: Advancing Urban Transit Analysis through High-Resolution Trajectory Modeling and Multi-Scenario Applications

Scheduled for presentation during the Regular Session "Public Transportation Management" (FrBT9), Friday, September 27, 2024, 14:50−15:10, Salon 17

2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC), September 24- 27, 2024, Edmonton, Canada

This information is tentative and subject to change. Compiled on October 7, 2024

Abstract

As urban transit faces increasing complexities, there is a pressing need for high-resolution data to understand the nuances of transit usage and its environmental impacts. The existing research often lacks the granularity required for precise analysis at trajectory level. TransitSim 4.0 addresses this gap and generate second-by-second trajectory data that enhances the analysis of environmental exposures and travel behaviors across various demographic groups. The system integrates a comprehensive suite of modular tools tailored for a range of analytical needs, from strategic planning to operational assessment. Two case studies exemplify the model’s application: assessing transit riders' comfort under extreme heat and evaluating accessibility in urban food deserts. These applications highlight the model’s potential to inform sustainable and equitable transit solutions, ultimately contributing to more resilient urban transit systems.