Introduction to the Special Issue on Real-Time Traffic State Estimation

The term traffic state estimation refers to measuring or inferring values of the key traffic state variables, such as density, flow, speed, and delay, by using a combination of observed and derived traffic-related data. Due to recent advances in vehicular networking and sensor technology and by expl...

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Bibliographic Details
Published in:IEEE transactions on intelligent transportation systems 2023-01, Vol.24 (1), p.1356-1358
Main Authors: Olariu, Stephan, El-Tawab, Samy
Format: Article
Language:English
Subjects:
Delays
Flow-density-speed relationships
Machine learning
Parameter estimation
Real time
Real-time systems
Special issues and sections
State estimation
Traffic congestion
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Summary:The term traffic state estimation refers to measuring or inferring values of the key traffic state variables, such as density, flow, speed, and delay, by using a combination of observed and derived traffic-related data. Due to recent advances in vehicular networking and sensor technology and by exploiting existing and emerging computer and communications paradigms, the task of estimating traffic state parameters in real-time has become technically feasible but remains a very challenging task.
ISSN:1524-9050
1558-0016
DOI:10.1109/TITS.2022.3229480