• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Accident Analysis & Prevention >Determinants of the congestion caused by a traffic accident in urban road networks
【24h】

Determinants of the congestion caused by a traffic accident in urban road networks

机译：城市道路网络中交通事故引起的拥堵因素

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

Non-recurrent congestion is frustrating to travelers as it often causes unexpected delay, which would result in missing important meetings or appointments. Major causes of non-recurrent congestion include adverse weather conditions, natural hazards, and traffic accidents. Although there has been a proliferation of studies that investigate how adverse weather conditions and natural hazards impact road congestion in urban road networks, studies that look into determinants of the congestion caused by a traffic accident are scarce. This research fills in this gap in the literature. When a traffic accident occurs on an urban link, the congestion would propagate to and affect adjacent links. We develop a modified version of the Dijkstra's algorithm to identify the set of links in the neighborhood of the accident. We first measure the level of congestion caused by the traffic accident as the reduction in traveling speed on those links. As the impact of congestion varies both in space and in time, we then estimate a generalized linear mixed-effects model with spatiotemporal panel data to identify its determinants. Finally, we conduct a case study using real data in Beijing. We find that: (1) the level of congestion is mostly associated with the types of the traffic accidents, the types of vehicles involved, and the occurrence time; (2) for the three types of traffic accidents, namely, scrape among vehicles, collisions with fixed objects, and rear-end collisions, the level of congestion associated with the first two types are comparable, while that associated with the third type is 8.43% more intense; (3) for the types of vehicles involved, the level of congestion involving buses/trucks is 6.03% more intense than those involving only cars; (4) for the occurrence time, the level of congestion associated with morning peaks and afternoon peaks are 5.87% and 6.57% more intense than that associated with off-peak hours, respectively.
机译：非经常性拥堵令旅行者感到沮丧，因为它经常会导致意外的延误，从而导致错过重要的会议或约会。非经常性拥堵的主要原因包括恶劣的天气条件，自然灾害和交通事故。尽管已有大量研究调查不利的天气条件和自然灾害如何影响城市道路网络中的道路拥堵，但很少有研究来探讨由交通事故引起的拥堵的决定因素。这项研究填补了文献中的空白。当城市道路发生交通事故时，交通拥堵将蔓延到邻近的道路并影响邻近的道路。我们开发了Dijkstra算法的修改版本，以识别事故附近的链接集。我们首先测量交通事故引起的拥堵程度，作为这些链接上行驶速度的降低。由于拥塞的影响在空间和时间上都不同，因此我们用时空面板数据估计广义线性混合效应模型，以确定其决定因素。最后，我们使用北京的真实数据进行了案例研究。我们发现：（1）交通挤塞程度主要与交通事故的类型，所涉及的车辆的类型以及发生的时间有关; （2）对于三种类型的交通事故，即车辆之间的刮擦，与固定物体的碰撞和追尾事故，与前两种类型相关的拥堵程度是可比较的，而与第三类相关的拥堵程度是8.43 ％更加激烈; （3）就所涉及的车辆类型而言，涉及公共汽车/卡车的拥堵程度比仅涉及汽车的拥堵程度高6.03％; （4）就发生时间而言，与高峰和下午高峰相关的拥堵程度分别比与非高峰时段相关的拥堵程度高5.87％和6.57％。

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