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Research on Merging Pattern after Toll Based on Simulation

机译:基于仿真的收费后合并模式的研究

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摘要

We establish a fan-in system (including combination area design, merging pattern and so on) which can best prevent accidents, improve throughput and minimize the cost. To achieve our goal, first cellular automaton is used to stimulate the actual toll plaza and establish some kinds of combination area with different shapes and sizes so that we can estimate the cost of construction. In this process, we also use Nagel-Schreckenberg (NS) vehicle-following model and select 3 merging patterns to determine the movements of our "cars". By doing this, we get sufficient data from simulation, such as average velocity of moving cars, sharp braking frequency, throughput, etc. Finally, we establish social cost analysis model to obtain a relatively objective evaluation. We calculate the economic cost of accident per year, the time cost per year measured by money and the construction fee of the whole plaza shared by each year. Thus, we can compare different solutions and reach the optimization. The best solution is the symmetrical narrowing shape, Merging as soon as possible. To test our solution, we put it in different conditions including various traffic density, self-driving cars. We also find out the divergent influence of different kinds of tollbooth. One more interesting results is that by applying basic optimizing model and some simple simulations. we can at last find the best proportion of ECT, AT and MTC under certain circumstances.
机译:我们建立了一个扇形系统(包括组合区域设计,合并模式等),可以最好地防止事故,提高产量并最小化成本。为了实现我们的目标,首先使用蜂窝自动机刺激实际的Toll Plaza并建立一些具有不同形状和尺寸的组合区域,以便我们可以估计建筑的成本。在此过程中,我们还使用Nagel-Schreckenberg(NS)车辆跟随模型,然后选择3个合并模式以确定我们的“汽车”的运动。通过这样做,我们获得了从模拟中获得充足的数据,例如移动汽车的平均速度,急剧制动频率,吞吐量等。最后,我们建立了社会成本分析模型以获得相对客观的评估。我们计算每年的经济成本,每年衡量的每年的时间成本以及每年共享的整个广场的建设费用。因此,我们可以比较不同的解决方案并达到优化。最好的解决方案是对称的缩小形状,尽快合并。为了测试我们的解决方案,我们将其放在不同的条件下,包括各种交通密度,自驾车。我们还找出了不同种类的Tolbooth的发散影响。一个更有趣的结果是通过应用基本优化模型和一些简单的模拟。在某些情况下,我们终于找到了最佳比例的ECT,AT和MTC。

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