基于转移概率模型的车辆驾驶条件建模

2011 IEEE International Conference on Control Applications (CCA) Pub Date : 2011-10-13 DOI:10.1109/CCA.2011.6044388

Kevin McDonough, I. Kolmanovsky, Dimitar Filev, D. Yanakiev, Steven Szwabowski, J. Michelini, M. Abou-nasr

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引用次数: 16

摘要

本文考虑用转移概率模型(TPMs)对车辆行驶条件进行建模，以应用于动态优化。在分析和实验车辆数据的基础上，讨论了车辆速度、车辆加速度和道路坡度的过渡概率特性。kl散度显示提供了一个有效的指标，可以区分类似的驾驶条件从不同的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Modeling of vehicle driving conditions using transition probability models

This paper considers modeling of vehicle driving conditions using transition probability models (TPMs) for applications of dynamic optimization. The properties of transition probabilities for vehicle speed, vehicle acceleration, and road grade are discussed based on the analysis and experimental vehicle data. The KL-divergence is shown to provide an effective metric that can differentiate similar driving conditions from dissimilar ones.

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2011 IEEE International Conference on Control Applications (CCA)

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