Improving Coverage Rate for Urban Link Travel Time Prediction Using Probe Data in the Low Penetration Rate Environment

Improving Coverage Rate for Urban Link Travel Time Prediction Using Probe Data in the Low Penetration Rate Environment

Short-term travel time prediction is an important consideration in modern traffic control and management systems. As probe data technology has developed, research interest has moved from highways to urban roads. Most research has only focused on improving the prediction accuracy on urban roads becau...

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Bibliographic Details
Main Authors: Ruotian Tang, Ryo Kanamori, Toshiyuki Yamamoto
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Sensors
Subjects:
urban travel time prediction
low penetration rate
coverage rate
vehicles in the crossing direction
short-term
probe vehicle data
Online Access:https://www.mdpi.com/1424-8220/20/1/265

Internet

https://www.mdpi.com/1424-8220/20/1/265

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