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Smart Transit

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: 

Transit Hub - Watch a video here

Multi-modal transportation planning - Watch a video here

Energy Efficient transportation

Analyzing the effect of pandemic on public transit was featured in a series of articles by University of Houston and Vanderbilt News in July 2020.

Microtransit and paratransit optimization - Dubey receives $3.9M in grants to redesign regional transit system using AI, community engagement

Lane Change: Vanderbilt experts say the future of urban transportation relies not on one solution, but on many


Hiba Baroud

Abhishek Dubey

Jonathan Gilligan

Craig Philip

Daniel Work