Calibration of VISSIM for shanghai expressway using genetic algorithm
WSC '05 Proceedings of the 37th conference on Winter simulation
Comparative evaluation of microscopic car-following behavior
IEEE Transactions on Intelligent Transportation Systems
Efficient traffic simulator coupling in a distributed V2X simulation environment
Proceedings of the 3rd International ICST Conference on Simulation Tools and Techniques
Computer Networks: The International Journal of Computer and Telecommunications Networking
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Traffic microsimulation is increasingly a preferred method of traffic analysis for today's transportation professionals. The importance of properly calibrating these traffic simulations is evidenced by the adoption of microsimulation calibration standards by several state and federal transportation authorities. A component of the calibration process is the calibration of the simulation for capacity. Capacity is a high-level measurement that is a function of many lower-level user-defined input parameters. VISSIM utilizes psy-chophysical car-following models that rely on ten user-defined parameters to represent freeway driving behavior. Several VISSIM driver behavior parameters have been shown to have a significant impact on roadway capacity. This paper seeks further understanding of the performance of the VISSIM traffic microsimulator by investigating the impact of driver behavior parameter combinations on a measure of freeway capacity. This paper is intended to provide insight useful for manual calibration of VISSIM microsimulation or the development of calibration algorithms.