车路协同仿真系统测试及其验证方法研究

发布时间：2018-12-20 13:44

【摘要】：车路协同是智能交通技术发展的重要方向。研究车路协同系统的目的是通过出行者、智能车载单元和智能路侧单元之间实时、高效和双向的信息交互,有效地提升道路交通系统的安全性和通行效率,改善交通环境,增加出行的舒适度。对车路协同系统进行评估验证,就是对车路协同系统的技术可行性、经济效益、社会和环境影响做出评价,为车路协同系统的可行性研究、方案比选、实施效果分析以及系统优化整合提供科学的依据。论文重点研究车路协同系统的评估验证方法。在总结了车路协同系统、仿真方法以及验证方法的基础上,分析了层次分析法、模糊综合评判法、数据包络分析法、人工神经网络评价法、灰色综合评价法等多种现代综合评价方法的优缺点,结合车路协同系统评价指标的特点,提出了基于灰色关联度分析法GRAP (Grey Relational Analysis Process)与层次分析法AHP (Analytic Hierarchy Process)集成的评估体系模型,实现对车路协同系统的评估验证。对确定评价对象、明确评价目标、组织评价小组、确定指标体系、分配指标权重、建立评价模型和评价结果分析等系统评估过程涉及到的方法进行了详细地介绍。论文研究基于高层体系结构HLA (High Level Architecture)构建仿真联邦的方法,搭建了车路协同系统仿真平台。为了实现对车路协同系统的评估验证,在研究了联邦成员仿真流程的基础上,构建车路协同系统验证评估联邦成员加入仿真联邦参与仿真。验证评估联邦成员订购交通仿真联邦成员发布的车辆状态、道路状态、路网状态、路侧状态、小区状态以及场景状态等交通状态信息,并将其存入MySQL数据库。在仿真结束之后,利用多指标综合评价的方法对车路协同系统进行评估验证。论文对车路协同系统进行了实例仿真测试,在宏观和微观两个层面对车路协同系统的性能及其功能进行了评估验证。宏观层次包括对路网、路段、交叉口等交通元素的交通状况进行性能评估；微观层次包括对车辆运行及场景的执行状况进行功能验证。验证结果表明,车路协同系统可以最佳限度地调整道路运行状态,保障人、车、路的协调统一,在提高运输效率的同时,保障交通安全、改善环境质量、提高能源利用率。论文研究表明,基于灰色关联分析与层次分析法集成的多层次灰色关联分析模型分别涵盖了两种评价方法的优点,可以很好地实现对车路协同系统的功能及其性能进行评估验证。
[Abstract]:Vehicle-road coordination is an important direction in the development of intelligent transportation technology. The purpose of this study is to improve the safety and efficiency of road traffic system and improve the traffic environment through real-time, efficient and two-way information exchange among travelers, intelligent vehicle units and intelligent road side units. Increase travel comfort. The evaluation and verification of the vehicle-road coordination system is to evaluate the technical feasibility, economic benefits, social and environmental impact of the vehicle-road coordination system, and to compare and select the scheme for the feasibility study of the vehicle-road collaborative system. Analysis of the effect of implementation and system optimization and integration provide a scientific basis. This paper focuses on the evaluation and verification method of vehicle-road cooperative system. On the basis of summing up the coordination system, simulation method and verification method, the analytic hierarchy process (AHP), fuzzy comprehensive evaluation method, data envelopment analysis method and artificial neural network evaluation method are analyzed. The advantages and disadvantages of various modern comprehensive evaluation methods, such as grey comprehensive evaluation method, combined with the characteristics of evaluation indexes of vehicle-road cooperative system, This paper presents an evaluation system model based on the integration of GRAP (Grey Relational Analysis Process) and AHP (Analytic Hierarchy Process), which realizes the evaluation and verification of the vehicle-road cooperative system. This paper introduces in detail the methods involved in the evaluation process, such as determining the evaluation object, defining the evaluation goal, organizing the evaluation group, determining the index system, distributing the index weight, establishing the evaluation model and analyzing the evaluation results. In this paper, the method of constructing simulation federation based on high level architecture HLA (High Level Architecture) is studied, and the simulation platform of vehicle-road collaborative system is built. In order to realize the evaluation and verification of vehicle-road cooperative system, based on the study of simulation flow of federated members, the federated members of vehicle and road coordination system are constructed to join the simulation federation to participate in simulation. The traffic state information such as vehicle status, road state, road network state, road side state, cell state and scene state published by federated members are evaluated and stored in MySQL database. After the simulation, the multi-index comprehensive evaluation method is used to evaluate and verify the vehicle-road cooperative system. In this paper, an example simulation test of the vehicle-road collaborative system is carried out, and the performance and function of the vehicle-road collaborative system are evaluated and verified at the macro and micro levels. The macro level includes the performance evaluation of traffic elements such as road network, road section, intersection and so on, while the micro level includes the functional verification of vehicle operation and scene execution. The verification results show that the vehicle-road cooperative system can adjust the road operation state to the best extent, ensure the coordination and unification of people, vehicles and roads, improve the transportation efficiency, ensure the traffic safety, improve the environmental quality, and improve the energy utilization ratio at the same time. The research results show that the multi-level grey relational analysis model based on the integration of grey relational analysis and analytic hierarchy process respectively covers the advantages of the two evaluation methods. It can be used to evaluate and verify the function and performance of the vehicle-road cooperative system.
【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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