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Improving Pedestrian Hybrid Beacon Crosswalk by Using Upstream Detection Strategy

机译:通过使用上游检测策略改进行人混合灯架交通扬声器

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摘要

Walking, as a healthy and environmentally friendly mode of travel, has been revived in many cities around the world. The mid-block crosswalk (MBC) is a common type of pedestrian facility, and the pedestrian hybrid beacon (PHB) is one of most commonly used signalized MBCs, having a wide range of applications. This study applied an upstream detection (UD) strategy to PHB to reduce the pedestrian waiting time at the crossing. Data were collected through video recordings at two crosswalks at two different periods of the day in the city of Nanjing. First, basic simulation models were developed in VISSIM according to the current layout and the signal control methods of the two crosswalks. Second, signal control logic was adjusted to develop simulation models of PHB. Third, upstream detectors were added to develop simulation models of PHB with a UD strategy. Models for PHB were simulated with 10 different random seeds, and a paired t-test was conducted to evaluate the performance of the UD strategy statistically. The results show that the UD strategy for PHB reduces pedestrian waiting time and increases vehicle delay. However, the reduction in pedestrian waiting time is greater than the increase in vehicle delay. The UD strategy has also been found to be more effective for crosswalks, with relatively short crossing lengths and low pedestrian volume. Finally, a discussion about factors concerned with the application of UD strategies in practice is carried out.
机译:作为健康和环保的旅行方式,在世界各地的许多城市都遍历。中间块人行横道(MBC)是一种常见的行人设施类型,行人杂交信标(PHB)是最常用的信号化MBC之一,具有广泛的应用。本研究将上游检测(UD)策略应用于PHB,以减少交叉口的行人等待时间。通过两个人行横道的视频录制收集数据,在南京市的两天的两个不同时期。首先,根据当前布局和两个人行横道的信号控制方法,在Vissim中开发了基本仿真模型。其次,调整信号控制逻辑以开发PHB的仿真模型。第三,添加了上游探测器以利用UD策略开发PHB的仿真模型。 PHB的模型用10种不同的随机种子模拟,并进行了配对的T检验以评估UD策略的统计学的性能。结果表明,PHB的UD策略减少了行人等待时间并增加了车辆延迟。然而,行人等待时间的减少大于车辆延迟的增加。也发现UD策略对人行横道更有效,交叉长度相对较短,行人卷积低。最后,进行了关于在实践中应用UD策略的应用因素的讨论。

著录项

  • 来源
    《Journal of Advanced Transportation》 |2019年第5期|8491042.1-8491042.11|共11页
  • 作者单位

    Nanjing Forestry Univ Sch Automobile & Traff Engn Longpan Rd 159th Nanjing 210037 Peoples R China;

    Changan Univ Res Inst Highway Sci Middle South 2nd Ring Rd Xian 710064 Peoples R China;

    Nanjing Forestry Univ Sch Automobile & Traff Engn Longpan Rd 159th Nanjing 210037 Peoples R China;

    Nanjing Forestry Univ Sch Automobile & Traff Engn Longpan Rd 159th Nanjing 210037 Peoples R China;

    Nanjing Forestry Univ Sch Automobile & Traff Engn Longpan Rd 159th Nanjing 210037 Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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