Evaluation of the Use of an Intelligent System in the Calibration of a Refined Car-Following Model

M. Pop, O. Proștean, M. Micea
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引用次数: 1

Abstract

This paper aims to extract the computational logic of a hybrid method for online calibration of car-following models and apply it to a refined car-following model that incorporates the behavior of vehicles moving on the adjacent traffic lanes. This calibration method combines the concept of Kalman filters with the Takag-Sugeno Fuzzy Inference System (T-S FIS). Furthermore, this paper analyzes the influence of the lane change behavior on the calibration process. The testing of the hybrid calibration method in the case of a refined car-following model uses real traffic data and it is followed by a discussion of the results based on day/night traffic behaviors.
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智能系统在汽车跟随模型标定中的应用评价
本文旨在提取一种混合方法在线标定汽车跟随模型的计算逻辑,并将其应用于包含相邻车道上行驶车辆行为的改进汽车跟随模型。该标定方法将卡尔曼滤波的概念与Takag-Sugeno模糊推理系统(T-S - FIS)相结合。进一步分析了变道行为对标定过程的影响。在一个改进的车辆跟随模型的情况下,混合校准方法的测试使用了真实的交通数据,然后讨论了基于日夜交通行为的结果。
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