In the modeling of signalized intersections, one parameter is of crucial importance: the saturation flow rate. This value defines the number of vehicles that pass an intersection within 1 h of effective green time per lane. In this study, changes in the saturation flow were investigated under adverse weather conditions, such as precipitation or snow that covered the road surface. Data were obtained from video recordings, and a timestamp was recorded for each vehicle as its rear axle crossed the intersection. Subsequently, all observations were aggregated to a longer time interval. These measurements were then used to train a model by minimizing the squared error between model output and observation. The advantages of the model were the incorporation of various vehicle classes and the consideration of driving behavior at the beginning and the end of the green phase (start and end lags). These parameters were investigated under various weather conditions and showed that the saturation flow rate was significantly influenced by snow on the road surface. To improve traffic models, it is thus important to consider the dependence of the saturation flow rate on the weather. To adjust the saturation flow, adjustments in certain other parameters influenced by prevailing weather conditions were investigated in a microscopic traffic simulation.


    Access

    Download

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Saturation flow under Adverse Weather Conditions


    Additional title:

    Transportation Research Record


    Contributors:


    Publication date :

    2011-01-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Saturation Flow Under Adverse Weather Conditions

    Asamer, Johannes | Online Contents | 2011


    Ship propulsion under adverse weather conditions

    Kent, J.L. | Engineering Index Backfile | 1936


    Ship propulsion under adverse weather conditions

    Kent, J.L. | Engineering Index Backfile | 1937


    Ship propulsion under adverse weather conditions

    Kent, J.L. | Engineering Index Backfile | 1936


    Aircraft Path Planning under Adverse Weather Conditions

    Xie Z. / Zhong Z. W. | DOAJ | 2016

    Free access