ATIS中浮动车信息处理及通信系统的设计与实现

发布时间：2018-04-05 04:19

本文选题：ATIS　切入点：分布式　出处：《大连理工大学》2014年硕士论文

【摘要】：当今社会的高速发展带来了汽车行业的繁荣,汽车产销量和人均保有量都在逐年增加。但与此同时,城市交通压力日益增大,交通拥堵问题对城市发展和出行者的生活质量都带来了消极的影响。在此情况下,智能交通系统开始广受关注,旨在将高新技术与城市道路交通系统相结合,来改善城市的交通水平,合理进行道路资源的分配。本文的研究重心是智能交通系统中的ATIS系统,通过收集实时交通信息进行处理分析,将处理得到的有效信息提供至出行者或交通管理者使用。本文对ATIS系统的国内外发展现状和关键技术进行了研究,设计了满足功能需求的ATIS系统。通过收集实时浮动车GPS数据,经由地图匹配系统和交通信息实时处理系统计算得到实时的交通信息参数,经过TPEG编码生成XML格式信息由WEB服务器进行发布,交通信息终端通过Windows和Android平台进行解码,使出行者直观地观测到实时路况信息。本文在设计完成的ATIS系统基础上,对其中的信息处理和通信部分完成进一步优化。首先,提出了一种新的地图匹配算法,通过网格划分增强处理的实时性,基于二次网格划分、GPS角度和数量对候选路段权重进行修正,并利用Dijkstra算法寻求最短路径,在保证处理效率的同时匹配的精度也有所提升；其次,对交通信息处理子系统中交通信息计算算法进行补充,在数据量不足的情况下增加了数据融合的计算,增加了系统的鲁棒性；最后,设计实现了分布式的交通信息处理系统,在保证稳定性的前提下使系统的实时性有较大提升。本文对优化后的处理及通信系统进行了仿真测试,仿真实验的数据为大连市出租车的实时数据,基本覆盖了大连市主要路网。首先,通过仿真对比分析确定了地图匹配算法中的网格划分参数和权重参数,以及分布式匹配最佳节点数目；其次,将本文所用的地图匹配算法与Miwa算法进行对比,结果显示本文的算法速度有大幅度提升,匹配精度也有所提高；再次,将本文所用的分布式通信架构与串行通信架构进行对比,处理效率约提升两倍；最后,将整个ATIS系统进行联合调试,结果显示系统的性能指标满足设计要求,适合于实际智能交通系统的应用。
[Abstract]:The rapid development of today's society has brought prosperity to the automobile industry, auto production and sales and per capita ownership are increasing year by year.But at the same time, urban traffic pressure is increasing, traffic congestion has a negative impact on urban development and the quality of life of travelers.In this case, the Intelligent Transportation system (its) has attracted much attention, aiming at combining high and new technology with the urban road traffic system to improve the traffic level of the city and rationally allocate the road resources.The research focus of this paper is the ATIS system in Intelligent Transportation system. By collecting real-time traffic information for processing and analysis, the effective information can be provided to travelers or traffic managers.In this paper, the development status and key technologies of ATIS system at home and abroad are studied, and a ATIS system to meet the functional requirements is designed.By collecting real-time floating vehicle GPS data, the real-time traffic information parameters are calculated by map matching system and traffic information real-time processing system. The XML format information is generated by TPEG coding and published by WEB server.The traffic information terminal decodes through Windows and Android platform, which enables the traveler to observe the real-time traffic information intuitively.Based on the design of ATIS system, this paper optimizes the information processing and communication part.First of all, a new map matching algorithm is proposed, which improves the real-time performance of grid partitioning, modifies the weight of candidate sections based on the angle and number of quadratic grid partitioning, and uses Dijkstra algorithm to find the shortest path.At the same time, the accuracy of matching is improved. Secondly, the traffic information calculation algorithm in the traffic information processing subsystem is supplemented, and the data fusion calculation is increased when the data is insufficient.Finally, the distributed traffic information processing system is designed and implemented, which can improve the real-time performance of the system on the premise of ensuring stability.In this paper, the optimized processing and communication system is simulated and tested. The data of the simulation experiment is the real time data of the taxi in Dalian, which basically covers the main road network in Dalian.First of all, the parameters of grid division and weight in map matching algorithm are determined by simulation analysis. Secondly, the map matching algorithm used in this paper is compared with Miwa algorithm.The results show that the algorithm speed has been greatly improved, and the matching accuracy has been improved. Thirdly, compared the distributed communication architecture and serial communication architecture, the processing efficiency is about twice as high.The whole ATIS system is debugged and the results show that the performance of the system meets the design requirements and is suitable for the application of the practical intelligent transportation system.
【学位授予单位】：大连理工大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U495

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