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AN ADAPTIVE SYSTEM FOR PREDICTING FREEWAY TRAVEL TIMES
International Journal of Information Technology & Decision Making, 2012This paper presents an adaptive system that embeds a Bayesian inference-based dynamic model (BDM) for predicting real-time travel time on a freeway corridor. Bayesian forecasting is a learning process that revises sequentially the state of a priori knowledge of travel time based on newly available information.
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Online Prediction of Travel Time: Experience From a Pilot Trial
Transportation Planning and Technology, 2007This study was designed to present an online model which predicted travel times on an interurban two-lane two-way highway section on the basis of field measurements. The study included two parts: an evaluation of the performance of the model, and an examination of the possibility to improve the model in case of unsatisfactory performance. The model was
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Deep spatial-temporal travel time prediction model based on trajectory feature
Computers and Electrical Engineering, 2023Zhaoyu Sheng, Zhiqiang Lv, Jianbo Li
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An integrated feature learning approach using deep learning for travel time prediction
Expert Systems With Applications, 2020Mohammad Abdollahi +2 more
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Vehicle routing and travel time prediction
2009Process description of travel time prediction modelling for time dependent Vehicle Routing Problems (VRP), congestion management, route guidance and decision making based on GPS tracks and data mining methodologies.
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A Taxonomy of Travel Time Prediction Models
2025 LI Latin American Computer Conference (CLEI)Nicolas Escobar +4 more
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Long-term travel time prediction using gradient boosting
Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, 2020Chih-Peng Chu
exaly