基于TransModeler的城市快速路仿真平台设计与实现
发布时间：2019-04-11 11:01
【摘要】：交通仿真技术是智能交通技术的重要组成部分。通过交通仿真,可以对智能交通控制算法的效果进行验证。传统的交通仿真无法满足当前城市快速路对仿真方面的需求,使得快速路的算法仿真实现极为困难。 本文首先分析了城市快速路的仿真需求,在此基础上设计了快速路仿真平台的总体框架,并对框架内的各个功能进行逐一实现,最后对仿真平台效果进行验证。全文的主要研究内容和成果总结如下： 1)通过设计TransModeler的二次开发框架,打通TransModeler软件内部与外部算法之间的通道,将外部算法通过GISDK导入TransModeler中,解决了传统仿真平台无法导入外部算法的问题。 2)针对快速路控制算法在仿真中的实时性与闭环在线方面的要求,本文设计了实时交通流数据库与仿真流程控制器。通过TransModeler的TsmAPI接口实时获取检测器采集交通流数据,并将采集的瞬时值转化为平均值,存入数据库中,供外部算法验证时使用,解决了仿真平台的实时性要求。同时,通过运用系统底层的回调函数,控制整个仿真流程,根据控制方案的要求对控制算法循环调用,实现了对算法的闭环在线控制。 3)部分控制算法不仅需要实时数据,同时需要未来的预测数据,本文利用卡尔曼滤波算法,对快速路的交通流进行短时交通流预测,通过仿真验证,预测效果精度可以满足要求,是一种有效的快速路短时交通流预测算法,能够直接为控制算法提供预测数据支持。 4)在上述工作的基础上,选取北京四通桥区域作为控制背景,搭建快速路仿真平台,测试仿真平台对基于实时区域交通状态的入口匝道与辅路口的协调控制策略的支持情况,结果表明仿真平台能够较好支持协调控制策略的仿真验证要求。
[Abstract]:Traffic simulation technology is an important part of intelligent transportation technology. Through traffic simulation, the effect of intelligent traffic control algorithm can be verified. The traditional traffic simulation can not meet the needs of the current urban expressway simulation, so it is very difficult to realize the algorithm simulation of the expressway. In this paper, the simulation requirements of urban expressway are analyzed firstly, and the overall framework of the simulation platform is designed, and the functions of the simulation platform are realized one by one. Finally, the simulation platform effect is verified. The main research contents and achievements are summarized as follows: 1) through the design of the secondary development framework of TransModeler, the channels between the internal and external algorithms of TransModeler software are opened, and the external algorithms are imported into TransModeler through GISDK. The problem that the traditional simulation platform can not import the external algorithm is solved. 2) according to the requirement of real-time and closed-loop control algorithm in simulation, the real-time traffic flow database and simulation flow controller are designed in this paper. Through the TsmAPI interface of TransModeler, the real-time acquisition data of traffic flow is acquired by the detector, and the collected instantaneous value is transformed into the average value, which is stored in the database for use in the verification of the external algorithm. The real-time requirement of the simulation platform is solved. At the same time, the closed-loop on-line control of the algorithm is realized by using the callback function of the bottom layer of the system to control the whole simulation process and calling the control algorithm cycle according to the requirements of the control scheme. 3) some control algorithms need not only real-time data, but also forecast data in the future. In this paper, Kalman filter algorithm is used to predict the short-term traffic flow of expressway, which is verified by simulation. The prediction accuracy can meet the requirements and is an effective short-term traffic flow prediction algorithm for expressway. It can directly support the prediction data for the control algorithm. 4) on the basis of the above-mentioned work, the Beijing Sitong Bridge area is selected as the control background, and the expressway simulation platform is built to test the support of the simulation platform for the coordinated control strategy of the on-ramp and auxiliary junctions based on the real-time regional traffic condition. The simulation results show that the simulation platform can better support the simulation verification requirements of the coordinated control strategy.
【学位授予单位】：浙江大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U495;U491
本文编号：2456358
[Abstract]:Traffic simulation technology is an important part of intelligent transportation technology. Through traffic simulation, the effect of intelligent traffic control algorithm can be verified. The traditional traffic simulation can not meet the needs of the current urban expressway simulation, so it is very difficult to realize the algorithm simulation of the expressway. In this paper, the simulation requirements of urban expressway are analyzed firstly, and the overall framework of the simulation platform is designed, and the functions of the simulation platform are realized one by one. Finally, the simulation platform effect is verified. The main research contents and achievements are summarized as follows: 1) through the design of the secondary development framework of TransModeler, the channels between the internal and external algorithms of TransModeler software are opened, and the external algorithms are imported into TransModeler through GISDK. The problem that the traditional simulation platform can not import the external algorithm is solved. 2) according to the requirement of real-time and closed-loop control algorithm in simulation, the real-time traffic flow database and simulation flow controller are designed in this paper. Through the TsmAPI interface of TransModeler, the real-time acquisition data of traffic flow is acquired by the detector, and the collected instantaneous value is transformed into the average value, which is stored in the database for use in the verification of the external algorithm. The real-time requirement of the simulation platform is solved. At the same time, the closed-loop on-line control of the algorithm is realized by using the callback function of the bottom layer of the system to control the whole simulation process and calling the control algorithm cycle according to the requirements of the control scheme. 3) some control algorithms need not only real-time data, but also forecast data in the future. In this paper, Kalman filter algorithm is used to predict the short-term traffic flow of expressway, which is verified by simulation. The prediction accuracy can meet the requirements and is an effective short-term traffic flow prediction algorithm for expressway. It can directly support the prediction data for the control algorithm. 4) on the basis of the above-mentioned work, the Beijing Sitong Bridge area is selected as the control background, and the expressway simulation platform is built to test the support of the simulation platform for the coordinated control strategy of the on-ramp and auxiliary junctions based on the real-time regional traffic condition. The simulation results show that the simulation platform can better support the simulation verification requirements of the coordinated control strategy.
【学位授予单位】：浙江大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U495;U491
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