基于视频的公交客流统计分析关键技术的研究与实现

发布时间：2018-01-07 21:14

本文关键词：基于视频的公交客流统计分析关键技术的研究与实现　出处：《华南理工大学》2014年硕士论文　论文类型：学位论文

【摘要】：随着国民经济的快速发展，城镇化的进程不断加速，城市的面貌发生了翻天覆地的变化，城市公共交通配套设施也有了较大的发展。但城市人口的急速增加，原有的交通配套设施越显不足，交通压力日渐显现，严重制约了城市的发展和影响了人民生活质量的提高。目前城市管理者面前面临的迫在眉睫的任务，是如何合理配置城市公共交通建设投入，优化交通资源规划。智能交通系统是智慧城市的重要组成部分，而公交系统的管理和规划更是与智能交通紧密相连。公交系统的运营和管理需要准确的统计数据，但目前的人工调查手段无法满足其全范围、全天候的数据采集调查分析的需要，制定符合企业长远发展需求的规划更无从谈起。针对目前公交客流检测手段落后的问题，，本文提出了以视频内容分析为手段，研究适合公交运行环境的客流统计图像处理算法，并初步探讨了公交客流统计系统的构建，包括公交客流统计设备的研制与公交客流统计平台软件的开发。在进行算法研究时，对目前主流的目标识别与目标跟踪算法均做了研究，并在吸收其优势的基础上提出了满足嵌入式运行环境下的公交客流检测算法，并对检测算法做了室内模拟环境测试。从设备选型、系统定制、硬件驱动开发、数据存储优化、网络传输等多方面对基于ARM嵌入式的公交客流设备研制工作进行了完善。在进行中心平台软件开发时，也对数据传输的安全性、公交客流统计业务等多方面需求做出了调研并开展开发工作。通过构建基于视频的公交客流统计分析系统，不间断的对公交客流数据进行精确采集和分析,可以掌握各线路的公交客流量变化，对公交布局及车辆调度进行优化，为提高公交运营管理、公交规划设计提供准确的决策依据，进而推动智能公交的建设与发展。
[Abstract]:With the rapid development of the national economy, the urbanization process is accelerating, happened to turn the world upside down changes in the face of the city, city public transportation facilities have considerable development. But the city population increases rapidly, the original traffic facilities is insufficient, traffic pressure gradually emerged, seriously hampered the development of the city and influence the people's quality of life. In front of the current city managers facing imminent task, how rational allocation of investment in the city public transportation construction, optimization of traffic resources planning.
Intelligent transportation system is an important part of the wisdom of the city, and the management and planning of public transportation system is closely linked with the intelligent transportation. Operation and management need accurate statistical data of the public transport system, but the current artificial investigation methods cannot satisfy the needs of the full range of data collection, investigation of all-weather, in line with the development of enterprises the needs of the development of planning more impossible.
Aiming at the bus passenger flow detection means backward, according to the video content analysis, traffic statistics image processing algorithm for bus operation environment, and discusses the construction of transit passenger flow statistics system, including the development of software development and transit bus passenger flow statistics statistics platform equipment. When studying algorithm at present, the target identification and tracking algorithm are the mainstream of doing research, and put forward to meet the passenger flow detection algorithm for embedded operating environment based on absorbing the advantages, and the detection algorithm of indoor simulation test environment. From the selection of equipment, system customization, hardware driver development, data storage optimization, network transmission and other aspects of the development of transit equipment based on ARM embedded system was improved. In the center of software development platform, but also on the data The security of transmission, bus passenger traffic statistics and many other requirements have been investigated and developed.
Through the analysis of the construction of system of passenger flow statistics based on video, uninterrupted precision acquisition and analysis of passenger data, can take the bus traffic changes of each line, the bus layout and vehicle scheduling optimization, in order to improve the public transport management, public transportation planning to provide accurate decision for design, and promote the construction and development of intelligent bus.

【学位授予单位】：华南理工大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U491.17

【参考文献】