Transit Agencies struggle to maintain transit accessibility with reduced resources, changing ridership patterns, vehicle capacity constraints. Vanderbilt Researchers have been working for the last several years to design AI-based scheduling systems to solve the problem of allocating vehicles and drivers to transit services, scheduling vehicle maintenance, and electric-vehicle charging, proactive stationing, and dispatch of vehicles for fixed-line service to mitigate unscheduled maintenance and unmet transit demand, aggregating on-demand transit requests, and dispatching and routing on-demand vehicles. They have also done research on providing real-time contextual planning information related to transit systems.
Example Projects and Media Mentions:
Multi-modal transportation planning - Watch a video here
Microtransit and paratransit optimization - Dubey receives $3.9M in grants to redesign regional transit system using AI, community engagement