Samenvatting
A microsimulation calibration methodology based on matching speed-flow graphs from field and simulation is presented. Evaluation and automation of matching speed-flow graphs is based on methods from pattern recognition. The methodology has been applied to US 101 freeway network in San Francisco, California 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 implementation of this methodology for large simulation models. The performance of the test network simulation model is comparable to the US101 simulation model.