CN205608812U - Public transport passenger flow measures detecting system based on face identification and position location - Google Patents
Public transport passenger flow measures detecting system based on face identification and position location Download PDFInfo
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Abstract
本实用新型公开了基于人脸识别和位置定位的公交客流量检测系统,其系统包括顺次连接的图像采集模块、公交车位置采集模块、数据挖掘中心和数据分析中心;图像采集模块用于对公交车上下车的人脸图像进行采集,公交车位置采集模块用于对公交车的行驶轨迹进行记录,数据挖掘中心用于对采集到的图像进行人脸分析和位置分析,数据分析中心用于根据数据挖掘中心分析得到的结果进行流量统计分析,为公交线路规划、运行管理、线路调整等提供决策依据。本实用新型的应用不仅提高了公交客流量检测的精度,而且提高了公交客流量检测的频率,大大节省了流量调查成本。
The utility model discloses a bus passenger flow detection system based on face recognition and position positioning. The system includes an image acquisition module connected in sequence, a bus position acquisition module, a data mining center and a data analysis center; the image acquisition module is used for The facial images of getting on and off the bus are collected, the bus position collection module is used to record the driving trajectory of the bus, the data mining center is used to analyze the faces and positions of the collected images, and the data analysis center is used to According to the results obtained from the analysis of the data mining center, traffic statistics and analysis are carried out to provide decision-making basis for bus line planning, operation management, and line adjustment. The application of the utility model not only improves the detection accuracy of the bus passenger flow, but also improves the frequency of the bus passenger flow detection, and greatly saves the flow investigation cost.
Description
技术领域 technical field
本实用新型涉及基于人脸识别和位置定位的公交客流量检测系统。 The utility model relates to a bus passenger flow detection system based on face recognition and position positioning.
背景技术 Background technique
由于城市居民出行在时间和空间上的分布不均衡性,必然导致部分站点的公交车内部非常拥挤,甚至于出现站点滞留乘客,或部分站点的公交车内的满载率不高。上述现象与公交线网及其运营方案的合理性相关,它们的数据基础为公交客流量,包括站点的上下车、断面流量( 车内乘客人数) 以及公交OD( 从某个站点上车而另外一个站点下车的人数)。为了保障公交优先国家发展战略的实施,合理组织有限运力及时疏散客流,公交客流量统计分析越来越受到交管部门、公交公司的重视和关注。 Due to the uneven distribution of time and space for urban residents' trips, it will inevitably lead to very crowded buses at some stations, and even stranded passengers at the stations, or the full load rate of buses at some stations is not high. The above phenomenon is related to the rationality of the bus line network and its operation plan. Their data base is the bus passenger flow, including getting on and off at the station, cross-section flow (number of passengers in the bus) and bus OD (boarding from a certain station and another number of people getting off at one stop). In order to ensure the implementation of the public transport priority national development strategy, rationally organize limited transport capacity and timely evacuate passenger flow, the statistical analysis of bus passenger flow has attracted more and more attention and attention from traffic control departments and bus companies.
目前,公交客流量的采集方式主要分为两种: At present, there are two main methods of collecting bus passenger flow:
(1) 人工采集,常见的人工数据调查方式有站点调查、跟车调查和随车调查等,投入大量人工进行问卷调查,容易导致调查数据质量无法把控,统计数据分析费力费时,调查费用较高,并且不能连续检测客流量的时空演化问题。 (1) Manual collection. Common manual data survey methods include site survey, vehicle follow-up survey, and vehicle survey. A large amount of labor is invested in questionnaire surveys, which can easily lead to uncontrollable survey data quality. Statistical data analysis is laborious and time-consuming, and survey costs are relatively high. High, and cannot continuously detect the spatio-temporal evolution of passenger flow.
(2) 智能设备采集,结合先进传感技术、人脸识别技术、人体信号检测技术,实时获取每个乘客上下车的记录,利用智能设备统计分析各个站点的上下车及车内人数。常见的采集手段包括公交IC 卡、RFID技术、压力传感器、红外和人脸识别等,各个智能采集方式各有利弊。虽然公交IC卡从技术实现角度可以准确地获取乘客上下车信息,但一般乘客上车刷卡而下车不刷卡。RFID 技术忽略公交车外部环境的电子标签对其影响,其应用场所的要求非常高。基于人脸识别和位置定位和位置定位相结合的技术的公交客流分析是一种新的技术手段,不仅可以采集公交站点的上下车人数、断面流量,而且可以根据位置信息分析出公交OD分布情况。 (2) Intelligent equipment collection, combined with advanced sensing technology, face recognition technology, human body signal detection technology, real-time acquisition of records of each passenger getting on and off the bus, and using smart devices to statistically analyze the getting on and off of each station and the number of people in the car. Common collection methods include bus IC cards, RFID technology, pressure sensors, infrared and face recognition, etc. Each intelligent collection method has its own advantages and disadvantages. Although the bus IC card can accurately obtain passenger boarding and disembarking information from the perspective of technical implementation, generally passengers swipe their cards when they get on the bus and do not swipe their cards when they get off. RFID technology ignores the impact of electronic tags on the external environment of the bus, and its application requirements are very high. The bus passenger flow analysis based on the combination of face recognition and position positioning technology is a new technical means. It can not only collect the number of people getting on and off at the bus station, cross-sectional flow, but also analyze the distribution of bus OD according to the position information. .
综上所述,结合人脸识别和位置定位来进行公交客流量的检测系统与方法能够很好地为公交线路规划、运行管理、线路调整等提供决策依据。 To sum up, the detection system and method of bus passenger flow combined with face recognition and location positioning can provide a good decision-making basis for bus route planning, operation management, and route adjustment.
实用新型内容 Utility model content
针对现有公交客流量检测系统与方法的不足之处,本实用新型提供了一种高精度、实时检测的新型公交车客流量检测系统,通过人脸特征的唯一性来获取乘客的上下车时间信息以及结合位置定位信息获取乘客上下车的位置信息,通过数据挖掘和分析得出公交站点的上下车人数、断面流量和公交OD等数据。 Aiming at the deficiencies of the existing bus passenger flow detection system and method, the utility model provides a new type of bus passenger flow detection system with high precision and real-time detection, which obtains the passengers' boarding and alighting time through the uniqueness of facial features Information and combined with location positioning information to obtain the location information of passengers getting on and off the bus, and through data mining and analysis, the number of people getting on and off at the bus station, cross-sectional flow, and bus OD and other data.
本实用新型的目的是通过以下技术方案来实现的:基于人脸识别和位置定位的公交客流量系统,包括顺次连接的图像采集模块、公交车位置采集模块、数据挖掘中心和数据分析中心;一方面利用安装在公交车的摄像头采集乘客上下车的视频信息,图像预处理模块对图像信息进行预处理将人脸图像传送至数据挖掘中心的存储模块,另一方面利用位置采集模块采集公交车的行驶轨迹信息传送至数据挖掘中心的存储模块。 The purpose of this utility model is achieved by the following technical solutions: a bus passenger flow system based on face recognition and position positioning, including an image acquisition module connected in sequence, a bus position acquisition module, a data mining center and a data analysis center; On the one hand, the camera installed on the bus is used to collect the video information of passengers getting on and off the bus. The image preprocessing module preprocesses the image information and transmits the face image to the storage module of the data mining center. On the other hand, the location acquisition module is used to collect the bus The driving track information is sent to the storage module of the data mining center.
所述的图像采集模块用于对公交车上下车的人脸图像进行采集;所述的公交车位置采集模块用于对公交车的行驶轨迹进行采集;所述的数据挖掘中心包括存储模块、图像分析模块和位置分析模块;图像分析模块、位置分析模块与数据分析中心的存储模块连接;所述的存储模块用于存储公交车上下车人员的人脸图像、上下车信息和公交车行驶轨迹;所述的图像分析模块用于对采集到的图像进行分析,判断图像对应的人员上下车信息;所述的位置分析模块通过图像拍摄时间和公交行驶轨迹记录时间匹配,分析得出上下车和位置;所述的数据分析中心包括流量分析模块,与数据挖掘中心的存储模块连接;所述的流量分析模块用于统计分析公交线路、站点的单点流量和OD分布情况。 The image collection module is used to collect face images of getting on and off the bus; the bus position collection module is used to collect the running track of the bus; the data mining center includes a storage module, an image An analysis module and a position analysis module; the image analysis module and the position analysis module are connected with the storage module of the data analysis center; the storage module is used to store the face images of the people getting on and off the bus, information on getting on and off the bus, and the bus travel track; The image analysis module is used to analyze the collected images to determine the information of people getting on and off the bus corresponding to the image; the position analysis module matches the time of image capture with the recording time of the bus travel track to analyze the getting on and off and the position ; The data analysis center includes a traffic analysis module, which is connected to the storage module of the data mining center; the traffic analysis module is used for statistical analysis of single-point traffic and OD distribution of bus lines and stations.
本实用新型的应用不仅提高了公交客流量检测的精度,而且提高了公交客流量检测的频率,大大节省了流量调查成本。 The application of the utility model not only improves the detection accuracy of the bus passenger flow, but also improves the frequency of the bus passenger flow detection, and greatly saves the flow investigation cost.
附图说明 Description of drawings
下面结合附图和具体实施方式对本实用新型作进一步详细的说明。 Below in conjunction with accompanying drawing and specific embodiment, the utility model is described in further detail.
图1为本实用新型系统的原理框图。 Fig. 1 is the functional block diagram of the utility model system.
具体实施方式 detailed description
下面结合附图进一步详细描述本实用新型的技术方案,但本实用新型的保护范围不局限于以下所述。 The technical scheme of the utility model is further described in detail below in conjunction with the accompanying drawings, but the protection scope of the utility model is not limited to the following description.
如图1 所示,基于人脸识别和位置定位的公交客流量检测系统,包括顺次连接的图像采集模块、公交车位置采集模块、数据挖掘中心和数据分析中心; As shown in Figure 1, the bus passenger flow detection system based on face recognition and location location includes sequentially connected image acquisition module, bus location acquisition module, data mining center and data analysis center;
所述的图像采集模块用于对公交车上下车的人脸图像进行采集;所述的公交车位置采集模块用于对公交车的行驶轨迹进行采集; The image acquisition module is used to collect face images of getting on and off the bus; the bus position acquisition module is used to collect the driving trajectory of the bus;
所述的数据挖掘中心包括存储模块、图像分析模块和位置分析模块;图像分析模块、位置分析模块与数据分析中心的存储模块连接; The data mining center includes a storage module, an image analysis module and a position analysis module; the image analysis module, the position analysis module are connected with the storage module of the data analysis center;
所述的存储模块用于存储公交车上下车人员的人脸图像、上下车信息和公交车行驶轨迹; The storage module is used to store face images of people getting on and off the bus, information on getting on and off the bus, and the trajectory of the bus;
所述的图像分析模块用于对采集到的图像进行分析,判断图像对应的人员上下车信息; The image analysis module is used to analyze the collected images, and determine the information of the personnel getting on and off the vehicle corresponding to the images;
所述的位置分析模块通过图像拍摄时间和公交行驶轨迹记录时间匹配,分析得出上下车和位置; The position analysis module matches the time of image capture and the recording time of the bus travel track, and analyzes the getting on and off and the position;
所述的数据分析中心包括流量分析模块,与数据挖掘中心的存储模块连接; The data analysis center includes a flow analysis module connected with the storage module of the data mining center;
所述的流量分析模块用于统计分析公交线路、站点的单点流量和OD分布情况。 The flow analysis module is used for statistical analysis of single-point flow and OD distribution of bus lines and stations.
对于本领域技术人员而言,显然本实用新型不限于上述示范性实施例的细节,而且在不背离本实用新型的精神或基本特征的情况下,能够以其他的具体形式实现本实用新型。因此,无论从哪一点来看,均应将实施例看作是示范性的,而且是非限制性的,本实用新型的范围由所附权利要求而不是上述说明限定,因此旨在将落在权利要求的等同要件的含义和范围内的所有变化囊括在本实用新型内。不应将权利要求中的任何附图标记视为限制所涉及的权利要求。 It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential features of the present invention. Therefore, no matter from all points of view, the embodiments should be regarded as exemplary and non-restrictive, and the scope of the present invention is defined by the appended claims rather than the above description, so it is intended to fall within the scope of the claims All changes within the meaning and range of equivalents of the required elements are included in the present invention. Any reference sign in a claim should not be construed as limiting the claim concerned.
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Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
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CN105913367A (en) * | 2016-04-07 | 2016-08-31 | 北京晶众智慧交通科技股份有限公司 | Public bus passenger flow volume detection system and method based on face identification and position positioning |
CN107240289A (en) * | 2017-07-24 | 2017-10-10 | 济南博图信息技术有限公司 | A kind of bus routes optimum management method and system |
CN110147784A (en) * | 2019-06-26 | 2019-08-20 | 苏州金螳螂怡和科技有限公司 | A kind of passenger flow recognition of face flow system |
CN112001232A (en) * | 2020-07-09 | 2020-11-27 | 北京北大千方科技有限公司 | Airport passenger flow travel chain accurate sensing device with individual characteristics |
CN114973680A (en) * | 2022-07-01 | 2022-08-30 | 哈尔滨工业大学 | Bus passenger flow obtaining system and method based on video processing |
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- 2016-04-07 CN CN201620280696.2U patent/CN205608812U/en not_active Expired - Fee Related
Cited By (7)
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CN105913367A (en) * | 2016-04-07 | 2016-08-31 | 北京晶众智慧交通科技股份有限公司 | Public bus passenger flow volume detection system and method based on face identification and position positioning |
CN107240289A (en) * | 2017-07-24 | 2017-10-10 | 济南博图信息技术有限公司 | A kind of bus routes optimum management method and system |
CN110147784A (en) * | 2019-06-26 | 2019-08-20 | 苏州金螳螂怡和科技有限公司 | A kind of passenger flow recognition of face flow system |
CN110147784B (en) * | 2019-06-26 | 2024-03-26 | 苏州朗捷通智能科技有限公司 | Passenger flow face identification flow system |
CN112001232A (en) * | 2020-07-09 | 2020-11-27 | 北京北大千方科技有限公司 | Airport passenger flow travel chain accurate sensing device with individual characteristics |
CN112001232B (en) * | 2020-07-09 | 2023-10-13 | 北京北大千方科技有限公司 | Airport passenger flow travel chain accurate sensing device containing individual characteristics |
CN114973680A (en) * | 2022-07-01 | 2022-08-30 | 哈尔滨工业大学 | Bus passenger flow obtaining system and method based on video processing |
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