智能交通管理系统改善加纳通勤城市 Ayigya 的交通状况

John Nyamekye Ansah, Loretta Owusu-Ansah, Selikem Asare-Brown
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引用次数: 0

摘要

包括加纳在内的全世界大多数道路使用者都面临着车辆交通拥堵问题。由于发展和城市化,这一问题日复一日地加剧,特别是在大多数城市地区。道路使用者的急剧增加唤起了人们对有效的道路交通系统的关注,以便将人员和货物从一个地方运送到另一个地方。为了减轻这一问题的影响,人们引入了一种基于统计编程照明序列的系统。这种技术在一段时间内发挥了作用,但后来发现效率不高,因为它通过给每个交通阶段分配固定的绿灯时间来控制交通流量,这意味着即使在没有交通冲突的情况下,有时也会给车道分配绿灯时间。由于这一问题的长期存在,因此需要一个智能交通管理系统来有效协调现有道路网络中的车流。拟议的系统以优先排队为基础,根据当前的交通流量动态地为车道分配绿色和红色阶段。拟议系统采用两种计数方法来确定最高车道数。它们分别是数字车辆计数法(DVC)和曼努埃尔车辆计数法(MVC)。在距离交通路口 60 米处宣布一个有效检测区。两种计数方法得出的数值都会输入交通相位路由器(TPR)进行比较。两种计数器中车辆计数最高的车道将有机会驶离交叉路口。建议的系统是使用城市交通仿真(SUMO)软件设计的。仿真结果表明,根据所使用的关键性能指标(KPI),建议的系统比现有系统性能更好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intelligent Traffic Management System to Improve Mobility at Ayigya, a Commuter City in Ghana
The issue of vehicular traffic congestion is faced by most road users all over the world, including Ghana. The complications intensify day in and day out, especially in most urban areas, due to development and urbanization. The exponential increase in road users awakens concern for an effective road transportation system to convey people and goods from one place to another. In an attempt to mitigate the effect of the problem, a system based on a statistically programmed lighting sequence was introduced. This technique served its purpose for some time and was realized to be inefficient because it controlled traffic flow by assigning a fixed amount of green light time to each phase of traffic, which meant that green light time was sometimes given to lanes even when there was no conflicting traffic. The persistent nature of the problem requires the need for an intelligent traffic management system to effectively coordinate the flow of vehicles through the available road network. The proposed system works based on priority queuing, where green and red phases are dynamically assigned to lanes depending on the present traffic volume. The proposed system uses two methods of counting to determine the highest lane count. They are the Digital Vehicle Counting (DVC) and the Manuel Vehicle Counting (MVC) methods. An effective detection zone of sixty meters is declared away from the traffic intersection. The values produced by both counting methods are fed to the Traffic Phase Router (TPR) for comparison. The lane with the highest vehicle counts from both counters is given the chance to leave the intersection. The proposed system was designed using Simulation of Urban Mobility (SUMO) software. Results obtained after the simulation showed that the proposed system performed better than the existing system based on the Key Performance Indicators (KPIs) used.
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