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Construction of Urban Expressway Real-time Traffic State Estimatior

Lijun Sun

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Abstract

For the need of Intelligent Traffic System(ITS) on urban expressway,this paper presents a real-time traffic state estimator.The basic principle is to integrate Extended Kalman Filtering(EKF) with macroscopic hydrodynamic traffic flow models,and to estimate future traffic states in real time based on traffic detectors that fixed on urban expressway.The result of an example shows acceptable applicability and precision of the method,which can provide reference for traffic control and traffic guidance.

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What this paper is about

For the need of Intelligent Traffic System(ITS) on urban expressway,this paper presents a real-time traffic state estimator.The basic principle is to integrate Extended Kalman Filtering(EKF) with macroscopic hydrodynamic traffic flow models,and to estimate future traffic states in real time based on traffic detectors that fixed on urban expressway.The result of an example shows acceptable applicability and precision of the method,which can provide reference for traffic control and traffic guidance.

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Available abstract

For the need of Intelligent Traffic System(ITS) on urban expressway,this paper presents a real-time traffic state estimator.The basic principle is to integrate Extended Kalman Filtering(EKF) with macroscopic hydrodynamic traffic flow models,and to estimate future traffic states in real time based on traffic detectors that fixed on urban expressway.The result of an example shows acceptable applicability and precision of the method,which can provide reference for traffic control and traffic guidance.

Key concepts: Computer science, Traffic flow (computer networking), Traffic congestion reconstruction with Kerner's three-phase theory, Kalman filter, Floating car data, State (computer science), Estimator, Traffic generation model

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