论文标题
电车制动距离的基于板载模型的预测
Onboard Model-based Prediction of Tram Braking Distance
论文作者
论文摘要
在本文中，我们记录了一种计算方法的设计和原型实现，用于在城市铁路车辆车辆上的断路距离|电车|电车。该方法基于电车制动动力学的板载模拟。该模拟的输入是来自数字地图的数据以及估计的（当前）位置和速度，这些数据又是通过将电车动力学的数学模型与GNSS/GPS接收器，加速度计和数字地图的数据相结合的数学模型来估计的。使用真实电车的实验验证了功能，但对关键物理参数的可靠识别非常重要。所提出的方法为基于车辆到车辆（V2V）通信的碰撞系统提供了核心功能。
In this paper, we document design and a prototype implementation of a computational method for an onboard prediction of a breaking distance for a city rail vehicle|a tram. The method is based on an onboard simulation of tram braking dynamics. Inputs to this simulation are the data from a digital map and the estimated (current) position and speed, which are, in turn, estimated by combining a mathematical model of dynamics of a tram with the measurements from a GNSS/GPS receiver, an accelerometer and the data from a digital map. Experiments with real trams verify the functionality, but reliable identification of the key physical parameters turns out critically important. The proposed method provides the core functionality for a collision avoidance system based on vehicle-to-vehicle (V2V) communication.
