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Public Transit for Special Events: Ridership Prediction and Train . . . Abstract: Many special events, including sports games and concerts, often cause surges in demand and congestion for transit systems Therefore, it is important for transit providers to understand their impact on disruptions, delays, and fare revenues
Public Transit for Special Events: Ridership Prediction and Train . . . This paper proposes a suite of data-driven techniques that exploit Automated Fare Collection (AFC) data for evaluating, anticipating, and managing the performance of transit systems during recurring congestion peaks due to special events
Public Transit for Special Events: Ridership Prediction and Train . . . Many special events, including sports games and concerts, often cause surges in demand and congestion for transit systems Therefore, it is important for transit providers to understand their impact on disruptions, delays, and fare revenues
Tejas Santanam (0000-0002-0269-6510) - ORCID Public Transit for Special Events: Ridership Prediction and Train Scheduling IEEE Transactions on Intelligent Transportation Systems 2024-08 | Journal article DOI: 10 1109 TITS 2024 3373634
Resiliency of on-demand multimodal transit systems during a pandemic This paper studies the resiliency during a pandemic of On-Demand Multimodal Transit Systems (ODMTS), a new generation of transit systems that combine a network of high-frequency trains and buses with on-demand shuttles to serve the first and last miles and act as feeders to the fixed network
Public Transit for Special Events: Ridership Prediction and . . . Public Transit for Special Events: Ridership Prediction and Train Scheduling IEEE Transactions on Intelligent Transportation Systems ( IF7 9 ) Pub Date : 2024-03-27, DOI: 10 1109 tits 2024 3373634 Tejas Santanam 1 , Anthony Trasatti 2 , Pascal Van Hentenryck 1 , Hanyu Zhang 1