智能公交信息服务系统IOS终端的构建与关键技术研究

发布时间：2018-04-20 08:54

本文选题：智能公交 + 公交到站时间预测　；参考：《武汉大学》2017年硕士论文

【摘要】：城市公共交通具有集约高效、节能环保等优点,是城镇居民可选择的重要出行方式之一。发展智能公交对缓解交通压力,减少能源消耗和环境污染都起到非常重要的作用;同时,提升公交系统服务水平是保持公交运营的必要条件。针对太原市智能公交系统建设的需求,本文基于智慧太原时空信息云平台公交时空信息云服务与天地图,设计和开发智能公交信息服务系统iOS终端,为用户搭乘公共交通出行提供一体化智能解决方案。本文的主体工作是智能公交信息服务系统iOS终端的建设,涉及的具体内容有:第一,智能公交发展现状调查研究,重点分析实时公交研究现状。由现状调查研究可知公交系统信息化建设主要集中在智能公交信息服务、智能公交调度、公交监控与决策辅助系统这几方面,目前应用比较成熟的技术有电子站牌、车载定位技术、自动报站技术、自动乘客计数、IC公交卡自动收费技术等;第二,智能公交信息服务系统的分析与总体设计。本文首先对系统进行了需求分析,然后基于分析结果对系统进行总体设计,包括系统总体架构设计和功能结构设计。系统实现整体采用C/S框架结构,服务器端主要提供公共交通时空信息云服务,而移动客户端遵循MVC设计模式,提供静态公交查询、实时公交查询、周边公交查询和公交换乘查询等公交信息查询服务和周边兴趣点查询、天气查询和交通管理通告等增值服务;第三,智能公交信息服务系统iOS终端详细设计与功能技术路线。根据iOS终端的功能设计和APP设计开发原理,本文将智能公交信息服务系统iOS终端划分为查询、周边、换乘、服务和更多5个模块,并且详细介绍了终端功能技术路线;第四,研发基于定位数据的公交车辆到站时间预测算法。公交车辆到站时间预测算法是实时公交信息查询的核心支撑。本文通过检索距离查询站点最近的车辆来估计到站时间。为了提高检索效率,在检索前需要过滤不符合查询条件的车辆。本文主要设置了车辆运行区间和方向(上行和下行)两个主要的过滤条件。
[Abstract]:Urban public transportation has the advantages of intensive efficiency, energy saving and environmental protection, and is one of the most important travel modes for urban residents. The development of intelligent public transport plays a very important role in alleviating traffic pressure, reducing energy consumption and environmental pollution. At the same time, improving the service level of public transport system is the necessary condition to maintain public transport operation. In view of the demand of the construction of the intelligent public transportation system in Taiyuan, this paper designs and develops the iOS terminal of the intelligent bus information service system based on the intelligent temporal and spatial information cloud platform of Taiyuan, the bus space-time information cloud service and the sky map. Provide an integrated intelligent solution for users to travel by public transport. The main work of this paper is the construction of intelligent bus information service system (iOS) terminal. The specific contents are as follows: first, the status quo of intelligent public transport development is investigated, and the research status of real-time public transport is analyzed. From the investigation and study of the present situation, we can see that the information construction of public transport system is mainly concentrated in the aspects of intelligent public transportation information service, intelligent public transportation dispatch, bus monitoring and decision support system. Vehicle positioning technology, automatic station reporting technology, automatic passenger counting IC bus card automatic charge technology; second, intelligent bus information service system analysis and overall design. This paper firstly analyzes the requirements of the system, and then designs the whole system based on the analysis results, including the overall architecture design and the functional structure design of the system. The whole system uses C / S frame structure, the server side mainly provides the public transport space-time information cloud service, while the mobile client side follows the MVC design pattern, provides the static public transportation inquiry, the real-time public transportation inquiry. Peripheral public transport query and bus transfer query and other public transport information query services and peripheral point of interest queries weather inquiries and traffic management notices and other value-added services; third intelligent bus information service system iOS terminal detailed design and functional technical route. According to the function design of iOS terminal and the principle of APP design and development, this paper divides the intelligent bus information service system iOS terminal into query, peripheral, transfer, service and more than 5 modules, and introduces the terminal function technical route in detail. Research and development of bus arrival time prediction algorithm based on location data. Bus arrival time prediction algorithm is the core support of real-time bus information query. This paper estimates the arrival time by retrieving the nearest vehicles from the query site. In order to improve the retrieval efficiency, it is necessary to filter vehicles that do not meet the query conditions before searching. In this paper, two main filtering conditions of vehicle running interval and direction (uplink and downlink) are set.
【学位授予单位】：武汉大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP311.52;U495

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