While many models of traffic flow predict the instabilities commonly observed—particularly at higher traffic densities—there are few suggestions for suppressing them. A method is described here for suppressing instabilities, thereby reducing gas consumption, accidents, wear and tear on vehicles and roadways as well as travel times while increasing traffic throughput. The method uses information about the following vehicle as well as the leading vehicle. Using information from both sources allows the gain of feedback to be reduced below one, thus eliminating the instability characteristic of “car following.” The needed inputs to the control system can be provided by machine vision (or radar or lidar). Previous proposals for smoothing traffic flow instabilities do not use information about the vehicles behind—“car following” cruise control methods, for example, focus only on the vehicle ahead. The method presented here is based on information flowing both downstream and upstream, in distinction to traditional approaches where information flows only upstream.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Suppressing traffic flow instabilities


    Contributors:


    Publication date :

    2013-10-01


    Size :

    393091 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Wave Equation of Suppressed Traffic Flow Instabilities

    Horn, Berthold K. P. / Wang, Liang | IEEE | 2018

    Free access

    Improving Traffic Flow Characteristics by Suppressing Shared Taxis Maneuvers

    Maghrour Zefreh, Mohammad / Török, Ádám | BASE | 2016

    Free access



    Method of and transonically operating aircraft having devices for suppressing aeroelastic instabilities

    BACKHAUS KAI / ARNOLD JÜRGEN / HENNINGS HOLGER et al. | European Patent Office | 2025

    Free access