• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Transportation planning and technology >A quantitative approach to the behavioural analysis of drivers in highways using particle filtering
【24h】

A quantitative approach to the behavioural analysis of drivers in highways using particle filtering

机译：基于粒子滤波的高速公路驾驶员行为分析定量方法

获取原文
获取原文并翻译 | 示例
       
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The analysis of driving behaviour is a challenging task in the transport field that has numerous applications, ranging from highway design to micro-simulation and the development of advanced driver assistance systems. There has been evidence suggesting changes in the driving behaviour in response to changes in traffic conditions, and this is known as adaptive driving behaviour. Identifying these changes and the conditions under which they happen, and describing them in a systematic way, contributes greatly to the accuracy of micro-simulation, and more importantly to the understanding of the traffic flow, and therefore paves the way for introducing further improvements with respect to the efficiency of the transport network. In this paper adaptive driving behaviour is linked to changes in the parameters of a given car-following model. These changes are tracked using a dynamic system identification method, called particle filtering. Subsequently, the dynamic parameter estimates are further processed to identify critical points where significant changes in the system take place.
机译：在交通领域，对驾驶行为的分析是一项具有挑战性的任务，其应用广泛，从高速公路设计到微观仿真，再到高级驾驶员辅助系统的开发。有证据表明，随着交通状况的变化，驾驶行为也会发生变化，这被称为自适应驾驶行为。识别这些变化及其发生的条件，并以系统的方式对其进行描述，将极大地有助于微仿真的准确性，更重要的是有助于了解交通流量，因此为引入进一步的改进铺平了道路。关于运输网络的效率。在本文中，自适应驾驶行为与给定汽车跟随模型的参数变化有关。使用动态系统识别方法（称为粒子过滤）跟踪这些更改。随后，对动态参数估计值进行进一步处理，以识别系统中发生重大更改的关键点。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号