A microsimulation calibration methodology based on matching speed-flow graphs from field and simulation is presented. Evaluation and automation of matching speed-flow graphs are based on methods from pattern recognition. The methodology was applied to the US-101 freeway network in San Francisco, California, by using an evolutionary algorithm. The methodology is compared to traditional methods of calibration based on capacity and is shown to perform better. In addition, a small-scale test-network simulation model was developed to assist in calibration of large-scale simulation models. The performance of the test-network-based calibration is comparable to the US-101 simulation model.


    Access

    Download

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Microsimulation Calibration Using Speed-Flow Relationships


    Additional title:

    Transportation Research Record: Journal of the Transportation Research Board


    Contributors:


    Publication date :

    2008-01-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Microsimulation Calibration Using Speed—Flow Relationships

    Menneni, Sandeep | Online Contents | 2008


    A MICROSIMULATION CALIBRATION METHODOLOGY BASED ON SPEED- DENSITY RELATIONSHIPS FOR FREEWAYS

    Mauro, Raffaele / Giuffrè, Orazio / Granà, Anna et al. | TIBKAT | 2014

    Free access


    Calibration of Microsimulation Models Using Nonparametric Statistical Techniques

    Kim, Seung-Jun / Kim, Wonho / Rilett, L. | Transportation Research Record | 2005


    Pedestrian and Vehicle Flow Calibration in Multimodal Traffic Microsimulation

    Ishaque, M.M. / Noland, R.B. | British Library Online Contents | 2009