Highlights A novel non-equilibrium continuum model is derived from the extended full velocity difference car-following model. Risk allostasis theory is employed to model the interplay between perceived risk and perceived response time. Analytical properties of NET-RAT are investigated in detail. Relationship between NET-RAT and notable existing continuum models are discussed. Performance of NET-RAT is assessed for real-world traffic. NET-RAT provides new insight into complex phenomena in real-world traffic.

    Abstract Empirical studies of vehicle trajectories have shown that psychological theories of driver behaviour can shed light on car-following processes and the associated empirical traffic phenomena. Numerous continuum models have been derived from car-following relations in order to model macroscopic traffic flow dynamics through collective intercations between car-following processes. However, the existing continuum models cannot capture the psychological processes underlying drivers’ car-following in accordance to behavioural thoeries, and thus, have little implications for investigating empirical traffic phenomena in relation to human psychological factors. This paper develops a novel continuum model (Non-Equilibrium Traffic Model based on Risk Allostasis Theory, i.e., NET-RAT) from a car-following model, extended in this work, by incorporating drivers’ behavioural adaptions in relation to perceived risk. We first extend the full-velocity difference car-following model (FVDM) to incorporate drivers’ pereception of risk and its impacts on drivers’ adaptation time to frontal stimuli using car-following information (e.g., speed, spacing, etc) and corresponding safety surroage measures. Risk allostasis theory is used to model the impacts of perceived risk on drivers’ stimulus–response behavioural adaptation. We then derive NET-RAT by continuum approximations of the extended FVDM and the corresponding behavioural components. Theoretical investigations show that NET-RAT has desirable analytical properties regarding macroscopic traffic flow dynamics, and that such properties can also be explained meaningfully from a behavioural perspective. Furthermore, we investigate NET-RAT’s performance for real-world traffic by using data from the German A5 autobahn in order to study the impacts of drivers’ risk perception on the complex real-world traffic phenomena (e.g., wide scattering, traffic instabilities, hysteresis, etc.). The investigations show that NET-RAT can meaningfully capture such complex phenomena by linking them to the interplay between drivers’ dynamic adaption process in relation to their perceived car-following risk.


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    Titel :

    NET-RAT: Non-equilibrium traffic model based on risk allostasis theory


    Beteiligte:
    Mohammadian, Saeed (Autor:in) / Zheng, Zuduo (Autor:in) / Haque, Mazharul (Autor:in) / Bhaskar, Ashish (Autor:in)


    Erscheinungsdatum :

    2023-05-24




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch