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双语推荐：车道被占用

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从车道占用对城市道路通行能力的影响入手,运用对比分析法、推理演绎法以及排队论等方法,建立道路通行能力模型、道路价值度模型、相关性分析模型、排队长度模型。并运用Matlab软件,得出所占车道不同对该横断面实际通行能力影响不同,车道被占用影响的路段车辆排队长度与事故横断面实际通行能力、事故持续时间、路段上游车流量间的关系,以及排队长度等结果。
This article starts from the lane occupied influences on urban road traffic capacity ,comparative analysis method ,reasoning deduction method ,and queuing theory are used to establish significant difference test model ,traffic capacity model ,the road value degree model ,correlation analysis model and queue length model. With the help of software such as Matlab ,EXcell,we obtained the differences in the results of occupied different lanes influences on the transverse section actual capacity . Draw a conclusion that the queue length influenced by occupied lanes relation-ships with accident cross-sectional actual capacity 、the duration of the accident and section of upstream flow. And the results of queue length.

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针对车道被占用对城市道路通行能力的影响问题，本文对题中所给的附件与数据进行统计分析，分别建立了车道被占用状态下的通行能力模型和格林希尔治模型，得到了道路实际通行能力的变化趋势和差异、车辆排队长度与其他变量的关系以及信号灯对车辆排队的影响。最后，本文还提出了车道被占用的解决方案。
This article is about the problem of road capacity which is occupied by cars. To begin with, we analyze the Annex and the data given in the title. And then, we establish models which cal ed Urban Road Capacity Model and Greenhil Governance Model. We get the actual trends and differences in road capacity, the relationship between the vehicle queue length and other variables as wel as the impact of lights on the vehicle queue. Final y, we also propose solutions about the lane which is occupied.

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车道被占用常常会导致道路通行能力在单位时间内降低，本文通过采集和处理交通事故视频中的数据，建立微分方程模型描述车流运动过程，分析事故发生路段的车辆排队长度与事故横截面实际通行能力、事故持续时间和上游路段车流量之间的关系。最后提出模型的推广和改进，便于更好地估算车道被占用对城市道路通行能力的影响程度。
The occupation of lanes often leads to decrease in road capacity per unit time. Based on processing data collected from the traffic accident video, this paper establishes a differential equation model illustrating traffic flow movement and analyses the correlativity between vehicle queue length of the accident sections and the actual capacity of accident sections, accident duration, traffic flow of the upstream section respectively. Generalization and improvement of the model is carried out to better estimate the degree of influence of lane occupation on urban road traffic capacity.

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本文主要针对如交通事故等诸多因素，导致车道或道路横断面通行能力在单位时间内降低的现象，建立了数学模型分析车道被占用对道路通行能力的影响。
This paper focuses on a number of factors, such as trafic accidents, lead to a driveway or road cross-section capacity in unit time to reduce the phenomenon, established the mathematical model for the analysis of lanes occupied the impact on the trafic capacity.

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交通堵塞影响现代城市生活，本文针对车道被占用对城市道路通行能力的影响，分析交通视频信息，构建实际通行能力模型，获取事故点横断面实际通行能力的变化。运用 Mann-Whitney 检验法对同一横断面不同车道被占用对实际通行能力的影响进行显著性差异分析；结合车流波动理论知识，建立车辆排队模型，得到排队长度与实际通行能力、事故持续时间以及路段上游车流量间的关系式。
Traffic jam has a great influence on modern urban life. Aiming at the effect of lane occupation on the ability of transportation in cities, this essay analyzes the traffic-information videos and sets up a real traffic ability model to get the changes of the transverse of accident point. Then based on the Mann-Whitney test, we analyze the significant differences at the same transverse of the influence of occupied road. Besides, we learn from the traffic flow wave theory and then build a Vehicle queue model of the block. Thus we get the relationship among the length of the queue, the real traffic ability, the time that an accident lasts and the Vehicle flow rate on the upstream road.

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针对车道被占用对城市道路通行能力的影响,根据所给条件,运用数据统计、车流波动理论等方法,分别建立了道路实际通行能力模型和速度—密度模型,使用了Excel进行求解、作图,进而给出了不同车道被占用时道路横断面实际通行能力的变化过程和差异,以及给定条件下车辆排队长度与事故横断面道路的实际通行能力、事故持续时间和路段上游车流量之间的关系式。
As to impact on the urban road capacity on the condition of lane being occupied, this paper used the method of data statistics, traffic flow wave theory to establish actual road capacity model and speed-density model according to the given conditions. Then, it used Excellto solve, map, and give the change and difference of the actual road capacity on cross-section when different lanes are occupied. Finally, it got the relation equation between vehicle queue length and three other variables including actual road capacity, the duration of the accident, and the upstream traffic flow on cross-section under the given conditions.

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为了定量研究车道被占用对城市道路实际通行能力的影响。本文根据所给条件,运用EXCEL和origin8.5等软件对视频采集的数据进行分析和处理,构建正弦函数模型描述道路通行能力的变化情况,建立小球堆积模型模拟不同车道被占用对道路通行能力的影响差异。并由此分析了在给定条件下车辆排队长度与事故横断面实际通行能力、事故持续时间、路段上游车流量间的关系。
This paper aims to make a quantitative analysis of the impact of traffic lane occupancy on the actual urban road capacity. Under the given conditions, based on the analysis and process of the video-gathered data by the software such as EXCEL and prighin8.5, this paper constructs sine function model to describe the changing situations of road capacity, and establishes ball accumulation model to simulate the different impacts on the road capacity from different lane occupancy situation. Thus, under the given conditions, it analyzes the relations among the queue length of vehicles and actual road capacity of accident section, lasting time of the accident and the traffic flow on the upper reaches of the road.

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通过分析突发事故导致车道被占用时,道路通行能力的演变过程及交通流的变化特征,将占道发生后车流与沙漏模型中颗粒物质运动类比,结合突发事件下交通流中不同类型车辆的换道规律,提出了含概率崩塌各异性的改进沙漏模型.并结合元胞自动机仿真理论,运用MATLAB进行仿真计算不同时刻的车辆排队长度,与实际数据对比,该模型的平均相对误差为6.509 7%,验证了模型的可靠性.最后利用该模型预测不同车道被占用和不同车流量的情况下车队长度达到特定长度所需的时间,进而探讨其分别对道路通行能力的不同影响程度,为交通部门监管道路提供理论依据.
From the analysis of the evolving of traffic flow when traffic congestion emerges caused by accident, analogies of traffic flow with the movement of particulate matter in hourglass model and various vehicles’lane changing pattern in emergency situation, an optimized hourglass model is propose. Based on cellular automata method, we simulate the queuing lengths of vehicles in different time on MATLAB and compare them with the practical data .We find that the average relative error of the model is 6.509 7%, verifying the reliability of the model. Finally, according to the model, we predict the time required for the specific queuing length on various lanes and traffic volumes. Thusly, we can study the impacts of time on traffic capacity and provide a theoretical basis for transportation administration.

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针对道路被占用对城市道路通行能力的影响,通过统计相关量,分别建立通行能力修正系数、差异分析、回归拟合分析、逆向求解等模型,使用MATLAB编程计算,得到事故发生至撤离期间,三个车道变成一个车道横断面实际通行能力的变化,不同车道横断面通行能力的差异,给出车辆排队长度与事故横断面实际通行能力、事故持续时间、路段上游车流量间的关系,并求解得出相应条件下排队长度为140m时的时间。
In the view of the influence of road occupation to city road capacity and through statistical correlation , this paper respectively established capacity correction coefficient , variance analysis , regression analysis , the inverse solution model , by u-sing the Matlab programming calculation , and obtained the changes of the cross -sectional actual capacity when three lanes into a driveway during the accident to evacuate , as well as the cross -sectional differences of lanes in capacity .The relationship between the vehicle queue length and the cross -sectional actual capacity , duration of accident , sections upstream traffic flow were given , and the corresponding conditions was proved when the queue length was 140 m.

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车道被占用会导致道路横断面通行能力在单位时间内降低，从而影响整个路段的交通状况，造成堵车。针对车道被占用问题，基于2013年全国大学生数学建模竞赛A题所提供的道路交通事故监控视频案例的人工观测数据，以对数关系的流量一速度模型为基础，结合交通工程学理论和通行能力修正系数，导出了道路实际通行能力的计算模型。同时根据交通流理论，建立了一个包含上游流量、事故所处横断面实际通行能力、事故持续时间和堵车排队长度的模型，根据其中任意三个量可求解另外一个量。经检验，模型结果和实际交通情况较吻合，且易于操作，具有一定的实际意义和应用价值。
The occupation caused by the traffic accident can lead to traffic jams. The research aims at the issue of occupation. With the data from China Undergraduate Mathematical Contest in Modeling ( CUM-CM) 2013,and based on the logarithmic volume-velocity model,while combined with the theory of traf-fic engineering and correction factors of practical capacity,we calculus a model to count the actual capaci-ty of roads. Furthermore,we develope another model that measures the relationship among upstream flow, the practical capacity of the objective section,the last of jam and the length of the queue with the help of theory from physics. Every variable above can be calculated through the rest. The model with good appli-cation value can be easily understood and operated.

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