共查询到16条相似文献,搜索用时 187 毫秒
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用微观交通仿真软件实现ITS模拟的比较研究 总被引:2,自引:1,他引:2
微观交通仿真是ITS研究和应用中的有力工具,章选择了Paramics,Vissim,Aimsun2和Corsim4种常用的微观交通仿真软件,考察它们对ITS模拟的支持情况,通过分析、比较这些软件实现ITS模拟的技术路线情况,发现Paramics和Aimsun2对ITS模拟支持较强,Corsim支持最弱。 相似文献
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基于Paramics的城市路网交通控制策略评价系统研究 总被引:1,自引:0,他引:1
提出了一种基于微观仿真平台Paramics构建交通控制策略效率评价系统的理论框架与实现方法,并在微观仿真系统中提出了一个两层面的模型来描述路网:拓扑层和仿真层。作为应用实例,选择广州市海珠区中山大学附近路网为研究对象,通过现场交通调查获得道路几何数据及主要路口的实时交通流量数据,在该路口现行的交通控制策略模式的基础上,针对该地区实际存在的交通问题提出了改进的控制策略方案,进而利用所建立的评价系统分别对现行方案及改进方案进行了效率评估,最终根据定量结果获得较优的控制策略方案。 相似文献
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交通控制算法在Paramics交通仿真软件中的实现 总被引:5,自引:1,他引:5
阐述了利用微观交通仿真软件Paramics进行控制策略仿真的研究思路,通过Modeller建立的图形界面,可以设计各种路况;利用丰富的API函数,实现各种控制策略;并提供了多种进行控制效果评价的功能。同时,可以和Mat-lab这种强大的算法仿真软件进行有机的结合,一方面应用Matlab强大的数据分析能力,另一方面应用其丰富的控制算法工具箱,大大缩短的仿真开发周期。因此,Paramics是一个验证控制策略的优良仿真平台。 相似文献
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Paramics与外部程序间数据通讯机制的研究与实现 总被引:1,自引:0,他引:1
介绍了微观交通仿真软件Paramics的插件技术及其API、基于Windows的进程间通讯及消息传递技术。在此基础上,建立了Paramics与外部程序间数据通讯机制,详细描述了该通讯机制的逻辑结构和实现算法流程。应用此通讯机制,编写了一个外部应用程序,对一个由信号灯控制的十字路口的4个方向、8个出人口的车流数量进行仿真时间间隔的采集,并进行动态OD矩阵的估算。程序演示表明:运行效果良好,该通讯机制达到了设计目的。 相似文献
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Adaptive traffic signal control (ATSC) is a promising technique to alleviate traffic congestion. This article focuses on the development of an adaptive traffic signal control system using Reinforcement Learning (RL) as one of the efficient approaches to solve such stochastic closed loop optimal control problem. A generic RL control engine is developed and applied to a multi-phase traffic signal at an isolated intersection in Downtown Toronto in a simulation environment. Paramics, a microscopic simulation platform, is used to train and evaluate the adaptive traffic control system. This article investigates the following dimensions of the control problem: 1) RL learning methods, 2) traffic state representations, 3) action selection methods, 4) traffic signal phasing schemes, 5) reward definitions, and 6) variability of flow arrivals to the intersection. The system was tested on three networks (i.e., small, medium, large-scale) to ensure seamless transferability of the system design and results. The RL controller is benchmarked against optimized pretimed control and actuated control. The RL-based controller saves 48% average vehicle delay when compared to optimized pretimed controller and fully-actuated controller. In addition, the effect of the best design of RL-based ATSC system is tested on a large-scale application of 59 intersections in downtown Toronto and the results are compared versus the base case scenario of signal control systems in the field which are mix of pretimed and actuated controllers. The RL-based ATSC results in the following savings: average delay (27%), queue length (28%), and l CO2 emission factors (28%). 相似文献
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基于CA方法的交通流数值模拟及信号灯感应控制策略研究 总被引:1,自引:0,他引:1
采用细胞自动机方法(Cellular Automata:CA)模拟含4个路口的城市道路交通流状态,并通过离散方程描述车辆的运动过程.研究了信号灯控制策略(同步定时控制及感应控制)对交通流状态的影响.数值模拟结果表明,信号灯对交通流的影响与道路中车辆密度有关,同时,感应控制参数的选取存在一合理的取值范围,可优化交通流通行... 相似文献
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Ensuring transportation systems are efficient is a priority for modern society. Intersection traffic signal control can be modeled as a sequential decision-making problem. To learn how to make the best decisions, we apply reinforcement learning techniques with function approximation to train an adaptive traffic signal controller. We use the asynchronous n-step Q-learning algorithm with a two hidden layer artificial neural network as our reinforcement learning agent. A dynamic, stochastic rush hour simulation is developed to test the agent’s performance. Compared against traditional loop detector actuated and linear Q-learning traffic signal control methods, our reinforcement learning model develops a superior control policy, reducing mean total delay by up 40% without compromising throughput. However, we find our proposed model slightly increases delay for left turning vehicles compared to the actuated controller, as a consequence of the reward function, highlighting the need for an appropriate reward function which truly develops the desired policy. 相似文献