Journal of Transportation Systems Engineering and Information Technology ›› 2020, Vol. 20 ›› Issue (4): 244-252.

Previous Articles    

Impact of Rainfall Events on Spatio-temporal Characteristics of Traffic Flow

CHEN Hua-weia , SHAO Yi-minga, b, AO Gu-changa, b, ZHANG Hui-linga, b   

  1. a. School of Traffic & Transportation; b. Chongqing Key Lab of Traffic System & Safety in Mountain Cities, Chongqing Jiaotong University, Chongqing 400074, China
  • Received:2019-10-17 Revised:2019-11-20 Online:2020-08-25 Published:2020-08-25

研究降雨事件对交通流时空特性的影响

陈华伟a ,邵毅明* a, b,敖谷昌a, b,张惠玲a, b   

  1. 重庆交通大学 a. 交通运输学院;b. 山地城市交通系统与安全重庆市重点实验室,重庆 400074
  • 作者简介:陈华伟(1993-),男,海南海口人,博士生.
  • 基金资助:

    国家自然科学基金/National Natural Science Foundation of China(51508061);重庆市自然科学基金面上项目/ Natural Science Foundation of Chongqing, China(cstc2019jcyj-msxmX0786);重庆市教委科学技术研究项目/Science and Technology Research Program of Chongqing Municipal Education Commission(KJQN201800727).

Abstract:

Among the natural environmental factors, rainfall events have a significant impact on spatio-temporal characteristics of traffic flow. Therefore, the quantification of their impact is helpful to master the change law of spatio-temporal characteristics of traffic flow in rainy day. To avoid the impact of other factors, a quantitative method is proposed to compare the distribution statistics of spatio-temporal characteristics in every rainfall event. Firstly, state value data and precipitation data were collected and processed to calculate spatio-temporal characteristics. Then, according to the amount of precipitation, rainfall events were classified. Next, the distribution types of spatio-temporal characteristics were studied in every rainfall event, and the impact of rainfall events was quantified by comparing their distribution statistics when their distribution types were the same. Finally, according to spatio-temporal characteristics in every rainfall event, Moran scatterplots of spatio-temporal characteristics were drawn to analyze the direction and degree of transition in road types. The result shows that the levels of rainfall events are negatively correlated with the state value of traffic flow, and the road types transit from low-failure road to high-failure road when rainfall events occur.

Key words: traffic engineering, spatio-temporal characteristics of traffic flow, rainfall events, Moran scatterplot, distribution statistics

摘要:

在自然环境因素中,降雨事件对交通流时空特性有显著影响,对其量化有助于掌握雨天交通流时空特性的变化规律.为规避其他因素的影响,提出了对比各降雨事件下交通流时空特性分布统计量的量化方法.采集和处理状态值数据和降雨量数据,计算交通流时空特性值;根据降雨量大小,划分降雨事件等级;研究各降雨事件下交通流时空特性的分布类型,当分布类型一致时,通过对比分布统计量,量化降雨事件的影响;根据各降雨事件下交通流时空特性,绘制交通流时空特性Moran散点图,分析道路类型的转变方向和程度.研究表明,降雨事件等级与交通流状态值呈显著负相关,且降雨事件发生时,道路类型总体由低失效道路向高失效道路转变.

关键词: 交通工程, 交通流时空特性, 降雨事件, Moran散点图, 分布统计量

CLC Number: