VISSIM Microscopic Traffic Simulation Model Calibration and Validation Using Multiple Performance Measures
B Brian Park, Jongsun Won
Abstract
B Brian Park, Jongsun Won
Abstract
In order to achieve more reliable evaluation results in the assessment of various traffic operations and management strategies, the microscopic traffic simulation model used in the analysis should be well calibrated and validated. As a previously proposed procedure often produced deficiencies under multiple performance measures, this paper presents an enhanced procedure that can accommodate multiple performance measures in the calibration and validation procedure, and the case study results of the proposed enhanced procedure on the four signalized intersections in Charlottesville, Virginia. The results showed that the proposed multiple performance measures based procedure significantly improved the reliability of the calibration over the previous procedure.
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In order to achieve more reliable evaluation results in the assessment of various traffic operations and management strategies, the microscopic traffic simulation model used in the analysis should be well calibrated and validated. As a previously proposed procedure often produced deficiencies under multiple performance measures, this paper presents an enhanced procedure that can accommodate multiple performance measures in the calibration and validation procedure, and the case study results of the proposed enhanced procedure on the four signalized intersections in Charlottesville, Virginia. The results showed that the proposed multiple performance measures based procedure significantly improved the reliability of the calibration over the previous procedure.
Key concepts: VisSim, Calibration, Reliability (semiconductor), Computer science, Traffic simulation, Reliability engineering, Simulation, Measure (data warehouse)