An Experimental Urban Case Study with Various Data Sources and a Model for Traffic Estimation

Any traffic management strategy relies on an accurate estimation of the current traffic state within a network at any give time.

This paper assesses sensor accuracy for collecting information on travel times and traffic flows in an urban transport network and proposes a multiple linear regression model to fuse the information efficiently.

In: Sensors, 22(1), 144

This paper was also selected to be on the cover of the relevant special issue.

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