Computer vision for transit travel time prediction: an end-to-end framework using roadside urban imagery
Awad Abdelhalim,
Jinhua Zhao
Abstract:Accurate travel time estimation is paramount for providing transit users with reliable schedules and dependable real-time information. This work is the first to utilize roadside urban imagery to aid transit agencies and practitioners in improving travel time prediction. We propose and evaluate an end-to-end framework integrating traditional transit data sources with a roadside camera for automated image data acquisition, labeling, and model training to predict transit travel times across a segment of interest.… Show more
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