Traffic and Granular Flow '13
Traffic and Granular Flow '13
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DOI：
10.1007/978-3-319-10629-8
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
Granular Flow;Mohcine Chraibi;M. Boltes;A. Schadschneider;A. Seyfried
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文献类型：
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作者：
Granular Flow;Mohcine Chraibi;M. Boltes;A. Schadschneider;A. Seyfried
对智能驾驶员模型(IDM)进行了研究，定义了驾驶模拟器存在的几个缺陷。我们提出了IDM的两个修改。第一个是在稳定状态下给出到领先车辆的任何预定距离。第二种修正是第一种修正和最优速度模型的结合。它显式地考虑了驾驶员的反应时间，并用延迟微分方程来描述。此模型始终会产生真实的车辆加速，从而可以模拟真实的交通碰撞。得到了保证车辆排在平衡点附近存在非振荡解的充要条件。我们提出了基于约束优化问题的数值解的标定框架。非线性约束由数值积分格式产生。建议的程序结合了所获得的局部稳定性条件，并考虑了车辆动力学、驾驶员的行为和天气条件。
The Intelligent Driver Model (IDM) is studied and several drawbacks with respect to driving simulators are defined. We present two modifications of the IDM. The first one gives any predefined distance to the leading vehicle in a steady state. The second modification is a combination of the first one and the optimal velocity model. It takes into account driver’s reaction time explicitly and is described by delay differential equation. This model always results in realistic vehicles accelerations what allows simulating real traffic collisions. Necessary and sufficient conditions are obtained, that guarantee a non-oscillating solution near the equilibrium for the vehicle platoon. We suggest the calibrating framework based on a numerical solution of the constrained optimization problem. Nonlinear constraints are generated by the numerical integration scheme. The suggested procedure incorporates the local stability conditions obtained and takes into account vehicle dynamics, drivers’ behavior and weather conditions.