Computer vision for transit travel time prediction: an end-to-end framework using roadside urban imagery

Computer vision for transit travel time prediction: an end-to-end framework using roadside urban imagery

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 en...

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Bibliographic Details
Main Authors: Abdelhalim, Awad, Zhao, Jinhua
Other Authors: Massachusetts Institute of Technology. Department of Urban Studies and Planning
Format: Article
Language:English
Published: Springer Science and Business Media LLC 2024
Subjects:
Management Science and Operations Research
Mechanical Engineering
Transportation
Information Systems
Online Access:https://hdl.handle.net/1721.1/153640

Internet

https://hdl.handle.net/1721.1/153640

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