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对智能驾驶员模型的改进及其应用
引用本文:朱山江 屈山 史其信. 对智能驾驶员模型的改进及其应用[J]. 中南公路工程, 2006, 31(3): 135-139
作者姓名:朱山江 屈山 史其信
作者单位:[1]清华大学交通研究所,北京100084 [2]北京紫光捷通科技有限公司,北京100084
摘    要:传统的跟驰模型在自由流附近不能得到车辆以自由流速度行驶的结论,分段描述的模型解决了这个问题,却破坏了模型的统一性和简单性.智能驾驶员模型(IDM)能够以较少的参数和统一的形式描述从自由流到拥堵流的车辆行为.然而IDM模型在期望距离非负和反应时间问题上存在缺陷,改进了这2点不足.并在分析模型特性的基础上采用北京实测数据,标定了该模型,并应用这个模型研究了快速路出口车队遇到下游信号灯路口后排队和拥堵的产生机制.

关 键 词:跟驰理论 智能驾驶员模型 期望间距
文章编号:1002-1205(2006)03-0135-05
收稿时间:2005-06-03
修稿时间:2005-06-03

Improvement for Intelligent Driver Model and its Application
ZHU Shanjiang, QU Shan, SHI Qixin. Improvement for Intelligent Driver Model and its Application[J]. Central South Highway Engineering, 2006, 31(3): 135-139
Authors:ZHU Shanjiang   QU Shan   SHI Qixin
Affiliation:1. Institute of TranSportation Engineering, Tsinghua Univ., Beijing 100084, China; 2. Beijing Ziguang Jietong Technology Co. , Ltd, Beijing 100084, China
Abstract:The traditional car-following models can not determine the speed of cars correctly in low density state.Some models solve this problem by dividing the car-following state in several categories,but they spoil the simplicity and the uniformity of model.The intelligent driver model can determine cars' behavior by identical form and few coefficients with explicit meanings.This paper points out two limitations of IDM and corrects them.After analyzing its property,the model is calibrated and applied in the study of the intersection's influence.
Keywords:car-following theory   intelligent driver model   desire space
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