Implementing multiscale traffic simulators using agents

Extreme complexity of traffic systems imposes Avo problems in their simulation: the simulation speed, and the model's level of details. The simulation speed is improved by using better simulation algorithms, or by using more processing power. The level of details is managed by the most appropriate modeling scale. The simultaneous usage of multiple scales gives multiscale models. We have implemented a prototype simulator in order to investigate the possibility of using agents in multiscale modeling. The agents model characteristics of vehicles and drivers' behavior. Preliminary experiments have shown satisfactory simulation speed. We plan to enhance the simulator with agents that model road sections in order to support meso- and macroscale models

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