The fundamental diagram is a key component of traffic flow. This diagram describes equilibrium traffic states and their propagation on a traffic network. Knowledge of traffic parameters is of paramount importance to understand traffic properties and characteristics. It is also critical to calibrate the elements of dynamic traffic flow simulation models and reproduce traffic states on road networks. This paper describes the development of a method for estimating fundamental diagram parameters that combines loop data and probe data. Loop data are considered boundary conditions of the problem. The travel times between any points located in the loop can be estimated on the basis of the fundamentals of the kinematic wave theory. The optimal fundamental diagram parameters are computed so that the discrepancy between estimated travel times and the actual travel times determined with probe vehicles is minimal. The method is validated by the use of simulated error-free data. The results demonstrate the accuracy of the method when it is applied to an error-free data set. The method is then implemented with realistic data, that is, data that were aggregated and noised beforehand. The robustness of the method is demonstrated, and the results are encouraging for the development of an algorithm that calibrates fundamental diagram parameters online and automatically.


    Zugriff

    Download

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Calibration of the Fundamental Diagram Based on Loop and Probe Data


    Weitere Titelangaben:

    Transportation Research Record: Journal of the Transportation Research Board


    Beteiligte:


    Erscheinungsdatum :

    01.01.2016




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Fundamental diagram estimation using GPS trajectories of probe vehicles

    Kawasaki, Yutaka / Seo, Toru / Kusakabe, Takahiko et al. | IEEE | 2017


    Fundamental Diagram Estimation Based on Random Probe Pairs on Sub-Segments

    Xiaoli Deng / Yao Hu / Qian Hu | DOAJ | 2021

    Freier Zugriff


    Estimating Traffic Flow Rate on Freeways from Probe Vehicle Data and Fundamental Diagram

    Anuar, Khairul / Habtemichael, Filmon / Cetin, Mecit | IEEE | 2015


    Using Mobile Probe Data and the Macroscopic Fundamental Diagram to Estimate Network Densities

    Gayah, Vikash V. / Dixit, Vinayak V. | Transportation Research Record | 2013