Highlights A lane-harmonisation approach is used to derive passenger car equivalents for expressway traffic. Peak hour traffic data from two expressway sites in Singapore are used for multiple linear regression. Regression coefficients represent the unit contribution of each vehicle class to capacity flow rate. Regression coefficients from both sites show good consistency and are combined for regression. The approach is applicable to roadways with heterogeneous traffic and differential vehicle speed limits.

    Abstract In order to account for variations in traffic composition during traffic analysis, passenger car equivalent (PCE) factors are used to convert flow rates of various vehicle classes into flow rates in terms of passenger car units (PCUs). Earlier studies have developed various methods to estimate PCE values but only a few of them are based on uninterrupted traffic flow, particularly for flow regimes with heterogeneous traffic where differential (lower) speed limits are imposed on commercial vehicles. This paper proposes a lane-harmonisation approach, which leverages on the high variation in traffic composition across the lanes, to estimate PCE factors for urban expressways. Multiple linear regression is used and the PCE factors obtained for motorcycles, light goods vehicles, and heavy goods vehicles are 0.65, 1.53, and 2.75, respectively. The estimated capacity flow rate after the application of the obtained PCE factors is around 2200 PCUs per hour per lane.


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    Titel :

    Lane-harmonised passenger car equivalents for heterogeneous expressway traffic


    Beteiligte:


    Erscheinungsdatum :

    2015-06-02


    Format / Umfang :

    10 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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