首页> 外文OA文献 >Modeling the interaction between passenger cars and trucks
【2h】

Modeling the interaction between passenger cars and trucks

机译:建模乘用车和卡车之间的相互作用

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

The topic of this dissertation was the use of distributed computing to improve the modeling of the interaction between passenger cars and trucks. The two main focus areas were the development of a methodology to combine microscopic traffic simulation programs with driving simulator programs, and the application of a prototype distributed traffic simulation to study the impact of the length of an impeding vehicle on passing behavior. The methodology was motivated by the need to provide an easier way to create calibrated traffic flows in driving simulations and to capture vehicle behavior within microscopic traffic simulations. The original design for the prototype was to establish a two-way, real time exchange of vehicle data, however problems were encountered that imposed limitations on its development and use. The passing study was motivated by the possible changes in federal truck size and weight regulations and the current inconsistency between the passing sight distance criteria for the design of two lane highways and the marking of no-passing zones. Test drivers made passing maneuvers around impeding vehicles that differed in length and speed. The main effects of the impeding vehicle length were found to be significant for the time and distance in the left lane, and the start and end gap distances. Passing equations were formulated based on the mechanics of the passing maneuver and included behavior variables for calibration. Through a sensitivity analysis, it was shown that increases in vehicle speeds, vehicle length, and gap distance increased the distance traveled in the left lane, while increases in the speed difference and speed gain decreased the distance traveled in the left lane. The passing equations were calibrated using the current AASHTO values and used to predict the impact of increased vehicle lengths on the time and distance in the left lane. The passing equations are valuable for evaluating passing sight distance criteria and observed passing behavior.
机译:本文的主题是使用分布式计算来改善乘用车与卡车之间的交互建模。两个主要重点领域是开发将微观交通模拟程序与驾驶模拟器程序相结合的方法,以及应用原型分布式交通模拟来研究阻碍车辆的长度对通过行为的影响。该方法的动机是需要提供一种更简单的方法来在驾驶模拟中创建校准的交通流,并在微观交通模拟中捕获车辆行为。原型的原始设计是建立双向实时的车辆数据交换,但是遇到了一些问题,这些问题限制了其开发和使用。通过研究的动机是联邦卡车尺寸和重量法规的可能变化,以及两条车道高速公路的通过视线距离标准与禁止通过区域的标记之间当前存在的矛盾。测试驾驶员绕过长度和速度不同的障碍车辆进行了超车操作。发现阻碍车辆长度的主要影响对于左车道中的时间和距离以及起点和终点间隙距离很重要。根据通过动作的机制制定通过方程,并包括用于校准的行为变量。通过敏感性分析表明,车速,车长和间隙距离的增加增加了左车道的行驶距离,而速度差和速度增益的增加则减少了左车道的行驶距离。通过的方程式使用当前的AASHTO值进行校准,并用于预测增加的车辆长度对左车道的时间和距离的影响。通过方程对于评估通过视距标准和观察到的通过行为非常有价值。

著录项

  • 作者

    Jenkins Jacqueline Marie;

  • 作者单位
  • 年度 2004
  • 总页数
  • 原文格式 PDF
  • 正文语种 en_US
  • 中图分类

相似文献

  • 外文文献
  • 中文文献
  • 专利

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