Implementing multiscale traffic simulators using agents

G. Jakovljević, D. Basch
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引用次数: 10

Abstract

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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使用代理实现多尺度交通模拟器
交通系统的极端复杂性给模拟带来了Avo问题:模拟速度和模型的细节水平。通过使用更好的仿真算法或使用更多的处理能力来提高仿真速度。细节的层次由最合适的建模尺度来管理。同时使用多个尺度可以得到多尺度模型。为了研究在多尺度建模中使用代理的可能性,我们实现了一个原型模拟器。智能体对车辆特征和驾驶员行为进行建模。初步实验表明,仿真速度令人满意。为了支持中尺度和宏观尺度模型,我们计划用模拟路段的代理来增强模拟器
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