El Paso
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Texas Study Showed Machine Learning-Based Travel Time Predictions Were 40 Percent More Accurate During Peak Periods Compared to Traditional Approaches.
METHODOLOGY
The prototype model development involved integrating emerging and traditional data sources, such as connected vehicle event data, safety data, probe vehicle speeds, and TxDOT’s ITS…
Content type
Date Posted
07/31/2025
Taxonomy (ARC-IT)
Performance Monitoring (DM02),
Integrated Decision Support and Demand Management (TM09)
Geolocation links
Use Connected Vehicle Event Data Together with Machine Learning and Artificial Intelligence Analysis Methods to Inform Traffic Management Centers for Making Real-Time Adjustments to Alleviate Non-Recurring Congestion.
Use CV event data together with ML and AI analyses methods to inform Traffic Management Centers (TMC) for making real-time adjustments to alleviate non-recurring congestion. This study pointed out…
Content type
Date Posted
08/30/2024
Geolocation links
