[1]徐婷,赵磊,张敏,等.基于重载车辆性能的高速公路长大纵坡临界坡长确定[J].长安大学学报(自然科学版),2019,39(03):108-116.
 XU Ting,ZHAO Lei,ZHANG Min,et al.Critical length determination for long and longitudinal slope of expressway based on performance of heavy duty vehicles[J].Journal of Chang’an University (Natural Science Edition),2019,39(03):108-116.
点击复制

基于重载车辆性能的高速公路长大纵坡临界坡长确定()
分享到:

长安大学学报(自然科学版)[ISSN:1006-6977/CN:61-1281/TN]

卷:
第39卷
期数:
2019年03期
页码:
108-116
栏目:
交通工程
出版日期:
2019-05-15

文章信息/Info

Title:
Critical length determination for long and longitudinal slope of expressway based on performance of heavy duty vehicles
作者:
徐婷赵磊张敏李敏刘建蓓
(1. 长安大学 汽车学院,陕西 西安 710064; 2. 中交第一公路勘察设计研究院有限公司,陕西 西安 710075)
Author(s):
XU Ting ZHAO Lei ZHANG Min LI Min LIU Jianbei
(1. School of Automobile, Changan University, Xian 710064, Shaanxi, China; 2. CCCC First Highway Consultants Co., LTD., Xian 710075, Shaanxi, China)
关键词:
交通工程交通安全临界坡长车速曲线比功率重载车辆
Keywords:
traffic engineering traffic safety critical length speed profile powertoweight 〖JP〗ratio heavy vehicle
文献标志码:
A
摘要:
针对由山区高速公路纵坡坡度和坡长组合设置不合理,导致长大纵坡路段交通事故频发的问题,通过分析重型车辆上下坡运行速度特性及受力情况,以陕汽生产的F3000重载汽车为例,通过理论推导构建重型车辆公路纵坡爬坡及下坡车速与坡长理论模型,模拟不同比功率重型车辆上、下坡运行速度与坡长的变化关系,并确定高速公路合理的上下坡临界坡长。研究中假设工况为高速公路坡度1%~6%,上坡车辆最高初速度和最低末速分别为80、50 km/h,下坡最低初速度和最高末速度为0、80 km/h。使用MATLAB模拟计算其坡度与车速的变化规律。研究结果表明:上坡过程中,以80 km/h的初速度为例,稳定车速为45~61 km/h;当坡度一定时,比功率越大的车型速度降低的越快,稳定行驶速度越大,达到稳定行驶车速的平衡坡长越长。下坡过程中,当坡度一定时比功率越大的车型,车速增大越多,稳定行驶速度越大,达到稳定行驶车速的平衡坡长就越短。在坡度为1%~3%时,无须设置爬坡车道;当坡度大于3%时,比功率较低的车型,爬坡性能较差,车速下降较快,需要设置爬坡车道。重型车辆在4%、5%、6%的坡度行驶时,设置避险车道的坡长阈值分别为5.5、4、3 km。研究成果可为山区公路线形的合理设计、道路的安全防护以及爬坡车道与避险车道的设置提供理论依据,从而提高山区高速公路重型车辆的行车安全。
Abstract:
Aimed at the unreasonable combination of different lengths and grades of slopes of expressway in mountainous areas have led to an increase in traffic accidents on long and steep slopes. A model was designed to explore the relationship between the heavyvehicle speed characteristics and slope length after analyzing the speed and stress distribution in moving uphill and downhill taking F3000 heavyhaul vehicle produced which by Shaanxi automobile company as an example. The reasonable critical slope length was determined by simulating the relationship between the speed of heavy vehicles with different specific power and the slope length during uphill and downhill. The research scenario was assumed that the slope of the expressway was 1% to 6%, the initial speed of uphill was 80 km/h and the final speed range was 50 km/h, and the initial speed of downhill was 0 km/h and the final speed was 80 km/h. The relationship between the slope and the speed was calculated through MATLAB simulations. The results show that when going uphill, if the initial speed is 80 km/h, the stable speed is 45 to 61 km/h. When the slope is constant, the higher the specific power of the heavy vehicle, the faster is the decrease in the speed, and the larger the stable speed, the longer is the equilibrium slope required to achieve stable speed. In the downhill process, when the slope is constant, the higher the specific power of the heavy vehicle, the greater the speed increase, the higher is the increase in speed, and further, the greater the steady operation speed, the shorter is the equilibrium slope length to reach the final driving speed. It is not necessary to set a climbing lane when the grade is 1% to 3%. When the slope is greater than 3%, the speed decreases fast for lower specific power of vehicles with a poor climbing performance. It is therefore required to set up a climbing lane or other safety facilities to increase road safety. When heavy vehicles run in the 4%, 5%, and 6% slope range, the thresholds for setting escape lanes are 5.5, 4, 3 km, respectively. The results can provide guidelines for the rational design of mountain highway alignment and road safety protection, as well as the designing of climbing lane and escape lane in order to improve the driving safety of heavy vehicles on the mountain expressway. 6 tabs, 9 figs, 26 refs.

相似文献/References:

[1]王建伟,李娉,高洁,等.中国交通运输碳减排区域划分[J].长安大学学报(自然科学版),2012,32(01):0.
[2]李曙光,周庆华.具有破坏排队的离散时间动态网络装载算法[J].长安大学学报(自然科学版),2012,32(01):0.
[3]凌海兰,郗恩崇.基于随机波动条件的公交客运量预测模型[J].长安大学学报(自然科学版),2012,32(01):0.
[4]田娥,肖庆,陆小佳,等.安全驾驶的横向安全预警报警阈值的确定[J].长安大学学报(自然科学版),2012,32(01):0.
[5]侯贻栋,赵炜华,魏 朗,等.驾驶人空间距离判识规律心理学分析[J].长安大学学报(自然科学版),2012,32(03):86.
 HOU Yi-dong,ZHAO Wei-hua,WEI Lang,et al.Analysis on psychology in cognitive distance about drivers[J].Journal of Chang’an University (Natural Science Edition),2012,32(03):86.
[6]赵跃峰,张生瑞,魏 华.隧道群路段运行速度特性分析[J].长安大学学报(自然科学版),2012,32(06):67.
 ZHAO Yue-feng,ZHANG Sheng-rui,WEI hua.Operating speed characteristics of tunnel group section[J].Journal of Chang’an University (Natural Science Edition),2012,32(03):67.
[7]林 杉,许宏科,刘占文.一种高速公路隧道交通流元胞自动机模型[J].长安大学学报(自然科学版),2012,32(06):73.
 LIN Shan,XU Hong-ke,LIU Zhan-wen.One cellular automaton traffic flow model for expressway tunnel[J].Journal of Chang’an University (Natural Science Edition),2012,32(03):73.
[8]刘俊德,徐 兵,梁永东,等.交通事故下高速公路行车安全评估[J].长安大学学报(自然科学版),2012,32(06):78.
 LIU Jun-de,XU bing,LIANG Yong-dong,et al.Traffic safety assessment of expressway in the accident[J].Journal of Chang’an University (Natural Science Edition),2012,32(03):78.
[9]芮海田,吴群琪,赵跃峰,等.公路建设对区域经济发展的影响分析——以陕西省为例[J].长安大学学报(自然科学版),2012,32(06):83.
 RUI Hai-tian,WU Qun-qi,ZHAO Yue-feng,et al.Influence of highway construction on regional economy development——taking Shaanxi as an example[J].Journal of Chang’an University (Natural Science Edition),2012,32(03):83.
[10]彭 辉,续宗芳,韩永启,等.城市群城际运输结构配置客流分担率模型[J].长安大学学报(自然科学版),2012,32(02):91.
 PENG Hui,XU Zong-fang,HAN Yong-qi,et al.Sharing ratios model of passenger flows in intercity transportation structure configuration among urban agglomeration[J].Journal of Chang’an University (Natural Science Edition),2012,32(03):91.
[11]肖润谋,运伟国,徐田兵,等.高原长平直线公路汽车行驶安全[J].长安大学学报(自然科学版),2007,27(03):76.
 XIAO Run-mou,YUN Wei-guo,XU Tian-bing.Driving safety on long-even-straight-line road on highland[J].Journal of Chang’an University (Natural Science Edition),2007,27(03):76.
[12]赵炜华,刘浩学,董宪元,等.昼间颜色对行驶中驾驶人距离判识的影响昼间颜色对行驶中驾驶人距离判识的影响[J].长安大学学报(自然科学版),2009,29(05):90.
 ZHAO Wei hua,LIU Hao xue,DONG Xian yuan,et al.Influence of colors in day on distance cognition of driver in moving vehicle[J].Journal of Chang’an University (Natural Science Edition),2009,29(03):90.
[13]马壮林,邵春福,李霞,等.基于可变参数的道路交通事故动态灰色预测模型[J].长安大学学报(自然科学版),2009,29(04):87.
 MA Zhuang-lin,SHAO Chun-fu,LI Xia,et al.Forecasting grey model of traffic accidents based on variable parameter value rolling[J].Journal of Chang’an University (Natural Science Edition),2009,29(03):87.
[14]肖润谋,赵金龙,陈荫三,等.山区公路交通安全标志设计[J].长安大学学报(自然科学版),2006,26(03):63.
 XIAO Run-mou,ZHAO Jin-long,CHEN Yin-san,et al.Desigh of Traffic Safety Signs on Mountain Roads[J].Journal of Chang’an University (Natural Science Edition),2006,26(03):63.
[15]杨春风,肖金林,孙吉书,等. 高速公路防眩板高度和交通安全关系[J].长安大学学报(自然科学版),2014,34(01):90.
 [J].Journal of Chang’an University (Natural Science Edition),2014,34(03):90.
[16]金书鑫,王建军,徐嫚谷.区域高速路网交通事故影响区划分及交通诱导[J].长安大学学报(自然科学版),2017,37(02):89.
 JIN Shu-xin,WANG Jian-jun,XU Man-gu.Traffic accident affected zone division and traffic guidance under regional highway network[J].Journal of Chang’an University (Natural Science Edition),2017,37(03):89.
[17]朱〓彤,胡月琦,朱诗慧,等.驾驶人注意分散的认知模拟与交通流特性[J].长安大学学报(自然科学版),2018,38(02):87.
 ZHU Tong,HU Yue qi,ZHU Shi hui,et al.Cognition simulation and traffic flow characteristics analysis indriving distraction[J].Journal of Chang’an University (Natural Science Edition),2018,38(03):87.
[18]王磊,杨明煊,孙宇,等.驾驶人次任务转换特性研究[J].长安大学学报(自然科学版),2018,38(04):80.
 WANG Lei,YANG Ming xuan,SUN Yu,et al.Research on characteristics of driver task conversion[J].Journal of Chang’an University (Natural Science Edition),2018,38(03):80.
[19]郭羽熙,吴昊,付锐,等.驾驶人智能手机使用行为与风险感知分析[J].长安大学学报(自然科学版),2018,38(05):123.
 GUO Yu xi,WU Hao,FU Rui,et al.Analysis of drivers smartphone usage behavior and risk perception[J].Journal of Chang’an University (Natural Science Edition),2018,38(03):123.
[20]耿超,彭余华.基于动态分段和DBSCAN算法的交通事故黑点路段鉴别方法[J].长安大学学报(自然科学版),2018,38(05):131.
 GENG Chao,PENG Yu hua.Identification method of traffic accident black spots based on dynamic segmentation and DBSCAN algorithm[J].Journal of Chang’an University (Natural Science Edition),2018,38(03):131.

更新日期/Last Update: 2019-05-23