首页> 外文会议>Transportation Research Board Annual meeting >Investigation of the Impact of Severe Winter Weather on Volume of Passenger Cars and Trucks on Primary Highways
【24h】

Investigation of the Impact of Severe Winter Weather on Volume of Passenger Cars and Trucks on Primary Highways

机译:冬季严酷天气对主要公路乘用车和卡车数量的影响研究

获取原文

摘要

Based on large traffic and weather data sets from weigh-in-motion sites, permanent trafficcounters and weather stations in Alberta, Canada, an investigation is carried out to study impactsof winter weather on volume of passenger car and truck traffic. Multiple regression models aredeveloped to relate truck and passenger car traffic variations to winter weather conditions.Statistical validity of study results are confirmed by using statistical tests of significance.Considerable reductions in passenger car and truck volumes can be expected withdecrease in cold temperatures. Such reductions are higher for passenger cars as compared totrucks. Due to cold and snow interactions, the reduction in car and truck traffic volume due tocold temperature could intensify with a rise in the amount of snowfall. For passenger cars,weekends experience higher traffic reductions as compared to weekdays. However, the impact ofweather on truck traffic is generally similar for weekdays and weekends. Interestingly, anincrease in truck traffic during severe weather conditions is noticed at one of the study sites.Such phenomenon is found statistically significant. None of the past studies in the literature havepresented the possibility of traffic volume increases on highways during adverse weatherconditions; which could happen due to shift of traffic from parallel roads with inadequate wintermaintenance programs.It is believed that the findings of this study can benefit highway agencies in developingsuch programs and policies as efficient monitoring of passenger car and truck traffic, and planfor efficient winter roadway maintenance programs.
机译:根据动态称重站点的大量流量和天气数据集,得出永久性流量 加拿大艾伯塔省的气象台和气象站进行了一项调查,以研究影响 天气对乘用车和卡车运输量的影响。多元回归模型是 开发以将卡车和客车的交通变化与冬季天气状况相关联。 通过使用显着性统计检验来确认研究结果的统计有效性。 预计乘用车和卡车的数量将大大减少 降低低温。与乘用车相比,乘用车的降价幅度更大 卡车。由于寒冷和大雪的相互作用,汽车和卡车的交通量减少是由于 随着降雪量的增加,低温可能会加剧。对于乘用车, 与工作日相比,周末的交通减少率更高。但是,影响 工作日和周末的卡车交通天气大致相似。有趣的是 在其中一个研究地点发现,恶劣天气条件下卡车的运输量增加。 发现这种现象具有统计学意义。过去的文献研究都没有 提出在恶劣天气下高速公路上的交通量可能增加 情况;由于冬季不足,平行道路的交通流量可能会发生 维护程序。 可以相信,这项研究的结果可以使公路部门在发展中受益。 诸如有效监控乘用车和卡车交通的计划和政策,以及计划 进行有效的冬季道路维护计划。

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