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A Stochastic Modeling of the Optimum Cycle Time of Selected Intersections in Cagayan de Oro City

机译:卡加延德奥罗市选定路口最佳循环时间的随机模型

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Poisson Distribution is a discrete distribution of random occurrences like arrival of vehicles in a certain approach. There are two main intersections being studied in this study: CM Recto – Velez – JPacana (Intersection 1) and CM Recto – Pelaez Blvd – Kauswagan (Intersection 2). Optimum Cycle Time differs from one intersection to other due to the traffic flow capacity of each lane approach. A Stochastic modeling is presented to assess the traffic condition of Cagayan de Oro City. MatLab was utilized in simulation for n = 50 and n = 100 where n denotes the Poisson random numbers generated based on the average vehicle count per hour in each approach of the intersection. Other parameters are kept constant like yellow and red time for both intersections which were set to 2 seconds and 1 second respectively to compensate deceleration rate and reaction time of drivers. In this paper, three settings of vehicle count took place: Peak day (Tuesday) – December 19, 2006, Slack day (Sunday) – September 10, 2006 and Holiday (Tuesday) – October 24, 2006. Vehicle volume count started from 6am to 6pm with a 15 minute interval. It has been found out that the optimum cycle time of Intersection 1 during peak days where n = 50 and n = 100 is in the range of 200 – 350 seconds while for intersection 2, optimum cycle time for peak days ranges from 100 – 130 seconds.
机译:泊松分布是一种随机分布的离散分布,例如某种方法中车辆的到达。本研究研究了两个主要的交叉点:CM Recto – Velez – JPacana(交叉点1)和CM Recto – Pelaez Blvd – Kauswagan(交叉点2)。最佳循环时间因每个车道进近的交通流量而在一个交叉口与另一个交叉口之间有所不同。提出了随机模型来评估卡加延德奥罗市的交通状况。 MatLab用于n = 50和n = 100的仿真中,其中n表示基于交叉口每种进路每小时每小时平均车辆计数生成的泊松随机数。其他参数保持不变,如两个交叉点的黄色和红色时间,分别设置为2秒和1秒,以补偿驾驶员的减速率和反应时间。在本文中,对车辆数量进行了三种设置:高峰日(星期二)-2006年12月19日,休息日(星期日)-2006年9月10日和假日(星期二)-2006年10月24日。车辆数量从上午6点开始间隔15分钟到下午6点。已经发现,在n = 50和n = 100的高峰日,交叉路口1的最佳循环时间在200 – 350秒的范围内,而对于交叉路口2,高峰日的最佳循环时间在100 – 130秒的范围内。

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