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荒漠长直线段公路行驶速度微观模型建立及分析

Modeling and analysis of road speed micro model in long straight line section of desert
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摘要 为探究荒漠长直线段车辆行驶速度微观变化,本文采集了宁夏境内荒漠草原公路乌玛高速及国道110的直线段线形数据及驾驶员在自由流下的行驶速度。为减少分析过程中冗余因素的干扰,假设驾驶员在直线段行驶速度模型分为加速、匀速和减速阶段,分别回归分析与驾驶员最大行驶速度相关的参数,进而建立荒漠长直线段行驶速度微观模型;进一步,考虑长直线段纵断面上、下坡方向在[2%,3%]坡度内的速度模型修正,提出上、下坡路段速度修正模型;最后,通过对比公路实测运行速度与模型速度,确定了行驶速度模型的有效性和可靠性。研究结果为荒漠草原公路长直线段线形设计和速度控制提供了理论依据。 In order to explore the running speed mesoscopic change of vehicles in the long line segment of desert steppe,the lines’ alignment elements data and the running speed of the vehicles under free-flow are collected in Wuhai-Maqing expressway and national trunk highway 110 in Ningxia. First,in order to reduce the interference of redundant factors in the analysis process,it is assumed that the vehicles’ running speed model in the straight segment is divided into acceleration,constant speed and deceleration. Second,and the parameters related to the max driving speed are regressed and analyzed respectively. Third,the mesoscopic model of the running speed is established in the straight segment of the desert grassland. Furthermore,considering the changes of the longitudinal section and downhill of the long straight section within the slope[2%,3%],the velocity models of the uphill and downhill sections are modified,respectively. Finally,the effectiveness and reliability of the running speed models are determined by comparing the measured running speed with the model speed of the road. The conclusions of this study provide theoretical basis for the highway alignment design and speed control of long line segment of desert steppe highway.
作者 王芳 胡佳 景升 程伟 赫小英 李晓光 WANG Fang;HU Jia;JING Sheng;CHENG Wei;HE Xiao-ying;LI Xiao-guang(School of Civil Engineering and Hydraulic Engineering,Ningxia University,Yinchuan 750021,China)
出处 《吉林大学学报(工学版)》 EI CAS CSCD 北大核心 2021年第2期575-582,共8页 Journal of Jilin University:Engineering and Technology Edition
基金 国家自然科学基金项目(51468051) 宁夏交通运输厅科技项目(021500000236)。
关键词 荒漠公路 长直线段 回归分析 行驶速度模型 desert highway long line segment regression analysis running speed model
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