基于Paramics仿真平台的交通诱导策略评估研究

发布时间：2018-12-10 17:13

【摘要】：摘要：随着城市交通问题的日益突出,动态交通诱导系统作为智能交通系统的重要组成部分,日渐成为目前解决城市交通问题的重要手段。通过交通诱导引导出行者的路径选择行为可以发挥道路交通基础设施的最大效能,对均衡路网交通流、减少延误、提高交通系统的运行效率具有重要意义。在众多理论研究层面的诱导策略中,采用何种诱导策略更适合现实的交通环境值得关注,而通过微观交通仿真模型对诱导策略进行验证评估,可以将理论研究向实践推进,具有一定的现实意义。本文利用Paramics微观仿真平台对多种动态诱导策略进行仿真实现并评估分析,以期实现理论研究向实际应用的过渡。本文的主要工作有： (1)对各种微观仿真模型进行对比,结果表明Paramics微观仿真软件能较好的实现动态交通诱导功能,在此基础上详细研究了Paramics软件中各模块的主要功能及其高级程序接口API。 (2)重点研究了动态诱导策略在Paramics微观仿真平台上的实现方法,建立了两条路径的简单路网模型,设置合理的参数并加载车流,在C++语言环境中利用Paramics丰富的API函数编写诱导策略插件实现诱导策略。 (3)在不同交通需求场景下利用Paramics仿真实现了三种经典反馈型诱导控制策略,即Bang-bang、P和PI控制。从系统和用户两种角度考虑,选择了平均旅行时间和路径旅行时间偏差作为评价指标,对输出数据进行处理分析后比较了三种反馈策略的诱导效果,得出P诱导策略的效果最好,P1次之,而Bang-bang最差。 (4)提出了离散化色彩类VMS诱导策略,出行者由诱导信息的被动执行者变为主动决策者,根据对图形式VMS诱导信息进行速度感知(服从均匀分布和三角分布)做出路径选择决策。通过Logit离散选择模型,实现了两种感知分布对应的诱导策略的Paramics仿真,以平均旅行时间和路径旅行时间偏差作为评价指标,得出交通需求、诱导周期、参数对两种感知分布对应的诱导策略均有不同影响。
[Abstract]:Abstract: with the increasingly prominent urban traffic problems, dynamic traffic guidance system, as an important part of intelligent transportation system, has become an important means to solve urban traffic problems. The route selection behavior guided by traffic guidance can give full play to the maximum efficiency of road traffic infrastructure, which is of great significance to balance the traffic flow, reduce delays and improve the efficiency of traffic system. Among the many guidance strategies at the theoretical level, it is worth paying attention to which one is more suitable for the real traffic environment. However, through the microscopic traffic simulation model to verify and evaluate the guidance strategy, the theoretical research can be promoted to practice. Has certain realistic significance. In this paper, a variety of dynamic induction strategies are simulated and analyzed based on Paramics micro-simulation platform, in order to realize the transition from theoretical research to practical application. The main work of this paper is as follows: (1) comparing various microscopic simulation models, the results show that the Paramics micro-simulation software can achieve the function of dynamic traffic guidance. On this basis, the main functions of each module in Paramics software and its advanced program interface API. are studied in detail. (2) the realization method of dynamic induction strategy on Paramics microcosmic simulation platform is studied, and a simple road network model with two paths is established, and reasonable parameters are set up and the traffic flow is loaded. In C language environment, the rich API function of Paramics is used to write the inductive policy plug-in to realize the induction policy. (3) under different traffic demand scenarios, three kinds of classical feedback induction control strategies, namely Bang-bang,P and PI control, are realized by using Paramics simulation. Considering the system and the user, the average travel time and the path travel time deviation are selected as the evaluation indexes. After processing and analyzing the output data, the inductive effects of the three feedback strategies are compared. The results showed that P induction strategy was the best, P1 was the second, and Bang-bang was the worst. (4) A discrete color class VMS induction strategy is proposed, in which the traveller changes from the passive executor of the induced information to the active decision maker. The path selection decision is made according to the velocity perception (uniform distribution and triangular distribution) of VMS induced information in graph form. Through the Logit discrete selection model, the Paramics simulation of two inductive strategies corresponding to the perceptual distribution is realized. The average travel time and the path travel time deviation are taken as the evaluation indexes, and the traffic demand and the induction period are obtained. Parameters have different effects on the induction strategies corresponding to the two perceptual distributions.
【学位授予单位】：北京交通大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U495

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