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A Machine Learning Method for Predicting Traffic Signal Timing from Probe Vehicle Data
In this paper, we present a machine learning (ML) method for estimating traffic signal timing information from vehicle probe data.
Transit-Gym: A Simulation and Evaluation Engine for Analysis of Bus Transit Systems
Public-transit systems face a number of operational challenges: (a) changing ridership patterns requiring optimization of fixed line services, (b) optimizing vehicle-to-trip assignments to reduce maintenance and operation codes, and (c) ensuring equitable and fair coverage to areas with low ridership.
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