高速公路监控系统设计及关键技术研究
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摘要
自从实施改革开放以来,我国的国民生产总值随国民经济快速的发展而持续高速增长,人民生活水平也不断的提高。在发展经济的过程中,交通工具的数量也随之增长,这对公路交通产生了不小的压力。而如今公路交通设施已更不上经济发展的要求,这对国民经济发展产生了制约的作用,形式了发展“瓶颈”。日渐严重的交通拥挤,频繁发生的安全事故,而对这一问题进行如何解决,己经形成对人们困扰的长期难题。高速公路监控系统是智能运输系统一部分,它为该问题给出了一个可行的解决方案。
论文针对目前国内外高速公监控系统,概述了其研究现状,为高速公路监控系统的目的和作用作了分析;对高速公路监控的需求进行了深入分析,明确了监控系统的功能,研究了监控平台体系及功能需求;在进行监控系统设计时,研究了系统设计原则、监控控制策略的设计思想及生成、实施;并且对高速公路监控系统进行了详细的功能设计,同时研究了监控系统的架构设计、网络结构设计、软件结构设计;对监控系统硬件设备的组成和功能进行了了解,为监控系统提供了设计和开发的基础。同时着重讨论了视频监控的事件自动检测算法。
论文最后在高速公路背景下,利用计算机视觉技术与数字图像处理技术研究、探讨了对运动车辆检测的一些算法,如自动检测、预测运动状态、自动跟踪车辆、检测交通事件等,能够对车辆进行避障、超速、换道、慢速、停止、交通阻塞等事件实施自动快速的检测,并进行交通流量、平均车速等交通参数的统计。对其他相似监控系统的设计提供了可供借鉴的经验。
From the reform and opening up, China's national economy has developed rapidly, sustained high GDP growth, people's living standards further. In Economic development process, the number of road transport the rapid growth, increased road traffic pressure on Highway can not meet the needs of economic development, economic constraints the development of a "bottleneck", traffic congestion growing Seriously frequent occurrence of accidents, how to solve this problem, has been a long-term nagging problem. As part of intelligent transportation system for highway monitoring system solution to the problem gives a feasible solution.
Thesis on the current domestic and international high-speed public monitoring system, outlined the research situation, for the purpose of highway monitoring system and function of analysis; on the demand for highway monitoring conducted in-depth analysis of the function of the monitoring system specifically to study monitoring platform system and functional requirements; progress monitoring system designed to study the system design principles, monitoring, control strategy design and production, implementation; and on the highway monitoring system carried out a detailed functional design, monitoring system was also studied architecture design, network architecture design, software architecture design; on the control system hardware components and functions of understanding, the monitoring system provides the basis for design and development. At the same time focused on the event automatic video surveillance detection algorithm.
Focused on video surveillance of the incident detection algorithm, Using computer vision and digital image processing technology to explore the context of moving vehicles on the highway automatic detection, motion state prediction, automatic vehicle tracking, traffic incident detection and other algorithms that can automatically detect the vehicle speed obstacle avoidance, for Road, speeding, slow, stop, traffic congestion and other events and carry out traffic flow, average speed and other traffic parameters statistics.
论文针对目前国内外高速公监控系统,概述了其研究现状,为高速公路监控系统的目的和作用作了分析;对高速公路监控的需求进行了深入分析,明确了监控系统的功能,研究了监控平台体系及功能需求;在进行监控系统设计时,研究了系统设计原则、监控控制策略的设计思想及生成、实施;并且对高速公路监控系统进行了详细的功能设计,同时研究了监控系统的架构设计、网络结构设计、软件结构设计;对监控系统硬件设备的组成和功能进行了了解,为监控系统提供了设计和开发的基础。同时着重讨论了视频监控的事件自动检测算法。
论文最后在高速公路背景下,利用计算机视觉技术与数字图像处理技术研究、探讨了对运动车辆检测的一些算法,如自动检测、预测运动状态、自动跟踪车辆、检测交通事件等,能够对车辆进行避障、超速、换道、慢速、停止、交通阻塞等事件实施自动快速的检测,并进行交通流量、平均车速等交通参数的统计。对其他相似监控系统的设计提供了可供借鉴的经验。
From the reform and opening up, China's national economy has developed rapidly, sustained high GDP growth, people's living standards further. In Economic development process, the number of road transport the rapid growth, increased road traffic pressure on Highway can not meet the needs of economic development, economic constraints the development of a "bottleneck", traffic congestion growing Seriously frequent occurrence of accidents, how to solve this problem, has been a long-term nagging problem. As part of intelligent transportation system for highway monitoring system solution to the problem gives a feasible solution.
Thesis on the current domestic and international high-speed public monitoring system, outlined the research situation, for the purpose of highway monitoring system and function of analysis; on the demand for highway monitoring conducted in-depth analysis of the function of the monitoring system specifically to study monitoring platform system and functional requirements; progress monitoring system designed to study the system design principles, monitoring, control strategy design and production, implementation; and on the highway monitoring system carried out a detailed functional design, monitoring system was also studied architecture design, network architecture design, software architecture design; on the control system hardware components and functions of understanding, the monitoring system provides the basis for design and development. At the same time focused on the event automatic video surveillance detection algorithm.
Focused on video surveillance of the incident detection algorithm, Using computer vision and digital image processing technology to explore the context of moving vehicles on the highway automatic detection, motion state prediction, automatic vehicle tracking, traffic incident detection and other algorithms that can automatically detect the vehicle speed obstacle avoidance, for Road, speeding, slow, stop, traffic congestion and other events and carry out traffic flow, average speed and other traffic parameters statistics.
引文
[1]刘伟铭.高速公路系统控制方法.北京:人民交通出版社,1998
[2]杨冰.智能运输系统[M].北京:中国铁道出版社,2000:1-30
[3] Medonald, JianPingWu, M.Braekstone.The Intergrated ImPaets of Autonomous Cruise Control on Motorway Traffie Flow. The 3rd World Congresson ITS Proceedings, 1996.10
[4]田旭旺.高速公路监控策略与系统设计[D].合肥工业大学, 2007.12陈平.高速公路监控系统设计中的几个关键问题[J].辽宁交通科技,2003:3, 54-55.
[5]国家计委宏观经济研究院课题组.“十五”期间我国交通运输业发展与改革的基本思路.宏观经济研究, 1999年08期
[6]田玉国.论科学管理在美国道路交通事故预防中的作用及启示.中国科技论坛, 2007年7期
[7]刘俊.高度智能化的日本交通.科技潮, 2007年第11期: 18-19页
[8]刘少才.德国高速公路进入科学管理化轨道.城市与减灾, 2010年1期
[9]单旭国.浅谈高速公路监控系统.北方交通,2010年第1期.
[10]彭妙颜.网络化公共广播系统的特点及其工程应用.电声技术, 2009年第33卷第04期:8-11
[11]计文平,郭宝龙,丁贵广.基于虚拟线圈的光流法车流量检测.计算机仿真.2004年01期
[12]严柏军.郑链.王克勇.一种改进的基于光流的运动目标的检测算法.红外技术, 2001年06期
[13]张玲,陈丽敏,何伟,等.基于视频的改进帧差法在车流量检测中的应用.重庆大学学报(自然科学版)2004年05期
[14] A.Lai,N.Yung. A fast and cccurate scoreboard algorithm for estimating stationary backgrounds in an image sequence. Proceedings of IEEE International Symposium On Circuits and Systems, 1998, 241-244
[15] Dubuisson M-P ,Jain A K. Contour extraction of moving objects in complex outdoor scenes[J]. International Journal of Computer Vision ,1995,14(1):83~105.
[16]柳林霞,陈杰,窦丽华.不变矩理论及其在目标识别中的应用.火力与指挥控制,2003,28(2).pp:13-15
[17]李鹏,朱宏辉.一种改进的不变矩方法在图像目标识别中的应用.交通与计算机,2004年第2期第22卷
[18]林洪文,涂丹,李国辉.基于统计背景模型的运动目标检测方法.计算机工程,第29卷第16期,2003年9月
[19]杜峥,张桂林,洪靖云.视频监控系统中的一种运动检测算法.机械与电子,2003(6)
[20] Pun T. Entropic thresholding a new approach, CGIP,1981,210-239
[21]严柏军,郑链,王克勇.基于不变矩特征匹配的快速目标检测算法.红外技术, 2001,23(6),Pp:8-12
[22] R.Cucchiara, C.Grana, M. Piccardi, et al. Staticstic and knowledge-based moving object detection in traffic scenes. Proceedings of IEEE Intelligent Transportation System, 2000. 27-32
[23] YK.Jung , Y 5.Ho.Traffic Parameter extraction using video-based vehicle tracking. Proceedings of IEEE/I EEJ/JSAI International Conference on Intelligent Transportation Systems,1999.764-769
[24] Kamijo,.Matsushita,K.Ikeuchi,M.Sakauchi.Traffic monitoring and accident detection at intersections.Proceedings of IEEE/IEEJ/J SAI International Conference on Intelligent TransPortation Systems,1999.703-708
[25] C.Stauffer,W. E.L.Grimson.Leaming Pattems of Activity Using Real-Time
[26] Tracking.IEEE Trans.PAMI,vol22,no.8,pp.747-757,Aug.2000
[27]秦永元等.卡尔曼滤波与组合导航原理.西北工业大学出版社,1998.11
[28] Panos G. and Michalo Poulos. Vehicle detection video through image Processing. The AutoScope system IEEE Transaction on Vehicular technology.1991·40(l):pp21-29
[29] Shunsuke Kamijo,Masahiro Harada. A Real-time Traffic Monitoring System by Stochastic Model Combination,2003 IEEE.
[30]伍友龙;基于图像分析的高速公路交通事件检测算法研究[D];长沙理工大学;2005年
[31] R. Fraile and S. J. Maybank. Vehicle trajectory approximation and classification, in Proc. Brit. Machine Vision Conf., Southampton, U.K.,1998, pp. 832–840.
[32] M. Haag and H. Nagel. Incremental recognition of traffic situationsfrom video image sequences, Image Vision Computer, vol. 18, no. 2, pp.137–153, 2000
[2]杨冰.智能运输系统[M].北京:中国铁道出版社,2000:1-30
[3] Medonald, JianPingWu, M.Braekstone.The Intergrated ImPaets of Autonomous Cruise Control on Motorway Traffie Flow. The 3rd World Congresson ITS Proceedings, 1996.10
[4]田旭旺.高速公路监控策略与系统设计[D].合肥工业大学, 2007.12陈平.高速公路监控系统设计中的几个关键问题[J].辽宁交通科技,2003:3, 54-55.
[5]国家计委宏观经济研究院课题组.“十五”期间我国交通运输业发展与改革的基本思路.宏观经济研究, 1999年08期
[6]田玉国.论科学管理在美国道路交通事故预防中的作用及启示.中国科技论坛, 2007年7期
[7]刘俊.高度智能化的日本交通.科技潮, 2007年第11期: 18-19页
[8]刘少才.德国高速公路进入科学管理化轨道.城市与减灾, 2010年1期
[9]单旭国.浅谈高速公路监控系统.北方交通,2010年第1期.
[10]彭妙颜.网络化公共广播系统的特点及其工程应用.电声技术, 2009年第33卷第04期:8-11
[11]计文平,郭宝龙,丁贵广.基于虚拟线圈的光流法车流量检测.计算机仿真.2004年01期
[12]严柏军.郑链.王克勇.一种改进的基于光流的运动目标的检测算法.红外技术, 2001年06期
[13]张玲,陈丽敏,何伟,等.基于视频的改进帧差法在车流量检测中的应用.重庆大学学报(自然科学版)2004年05期
[14] A.Lai,N.Yung. A fast and cccurate scoreboard algorithm for estimating stationary backgrounds in an image sequence. Proceedings of IEEE International Symposium On Circuits and Systems, 1998, 241-244
[15] Dubuisson M-P ,Jain A K. Contour extraction of moving objects in complex outdoor scenes[J]. International Journal of Computer Vision ,1995,14(1):83~105.
[16]柳林霞,陈杰,窦丽华.不变矩理论及其在目标识别中的应用.火力与指挥控制,2003,28(2).pp:13-15
[17]李鹏,朱宏辉.一种改进的不变矩方法在图像目标识别中的应用.交通与计算机,2004年第2期第22卷
[18]林洪文,涂丹,李国辉.基于统计背景模型的运动目标检测方法.计算机工程,第29卷第16期,2003年9月
[19]杜峥,张桂林,洪靖云.视频监控系统中的一种运动检测算法.机械与电子,2003(6)
[20] Pun T. Entropic thresholding a new approach, CGIP,1981,210-239
[21]严柏军,郑链,王克勇.基于不变矩特征匹配的快速目标检测算法.红外技术, 2001,23(6),Pp:8-12
[22] R.Cucchiara, C.Grana, M. Piccardi, et al. Staticstic and knowledge-based moving object detection in traffic scenes. Proceedings of IEEE Intelligent Transportation System, 2000. 27-32
[23] YK.Jung , Y 5.Ho.Traffic Parameter extraction using video-based vehicle tracking. Proceedings of IEEE/I EEJ/JSAI International Conference on Intelligent Transportation Systems,1999.764-769
[24] Kamijo,.Matsushita,K.Ikeuchi,M.Sakauchi.Traffic monitoring and accident detection at intersections.Proceedings of IEEE/IEEJ/J SAI International Conference on Intelligent TransPortation Systems,1999.703-708
[25] C.Stauffer,W. E.L.Grimson.Leaming Pattems of Activity Using Real-Time
[26] Tracking.IEEE Trans.PAMI,vol22,no.8,pp.747-757,Aug.2000
[27]秦永元等.卡尔曼滤波与组合导航原理.西北工业大学出版社,1998.11
[28] Panos G. and Michalo Poulos. Vehicle detection video through image Processing. The AutoScope system IEEE Transaction on Vehicular technology.1991·40(l):pp21-29
[29] Shunsuke Kamijo,Masahiro Harada. A Real-time Traffic Monitoring System by Stochastic Model Combination,2003 IEEE.
[30]伍友龙;基于图像分析的高速公路交通事件检测算法研究[D];长沙理工大学;2005年
[31] R. Fraile and S. J. Maybank. Vehicle trajectory approximation and classification, in Proc. Brit. Machine Vision Conf., Southampton, U.K.,1998, pp. 832–840.
[32] M. Haag and H. Nagel. Incremental recognition of traffic situationsfrom video image sequences, Image Vision Computer, vol. 18, no. 2, pp.137–153, 2000
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