WO2022193170A1 - 一种针对手机信令数据的停留识别评估方法、系统、终端以及存储介质 - Google Patents

一种针对手机信令数据的停留识别评估方法、系统、终端以及存储介质 Download PDF

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WO2022193170A1
WO2022193170A1 PCT/CN2021/081288 CN2021081288W WO2022193170A1 WO 2022193170 A1 WO2022193170 A1 WO 2022193170A1 CN 2021081288 W CN2021081288 W CN 2021081288W WO 2022193170 A1 WO2022193170 A1 WO 2022193170A1
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mobile phone
signaling data
phone signaling
stay
stop
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PCT/CN2021/081288
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English (en)
French (fr)
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尹凌
任倩茹
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中国科学院深圳先进技术研究院
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Priority to PCT/CN2021/081288 priority Critical patent/WO2022193170A1/zh
Publication of WO2022193170A1 publication Critical patent/WO2022193170A1/zh

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02—Services making use of location information
    • H04W4/029—Location-based management or tracking services
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/20—Services signaling; Auxiliary data signalling, i.e. transmitting data via a non-traffic channel

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  • the present application belongs to the technical field of mobile phone signaling data processing, and in particular, relates to a method, system, terminal and storage medium for staying identification and evaluation of mobile phone signaling data.
  • Mobile phone signaling data is the communication data between mobile phone users and transmitting base stations or micro-stations, and it has become the most mainstream big data source. At present, research on mobile phone signaling data emerges one after another, but the mobile phone signaling data does not clearly indicate the user's activity start time, activity end time, activity location and other stay activity information. Activity information is processed. Mobile phone signaling data is collected based on communication base station positioning technology. Due to the particularity of this sampling, data sampling is uneven and data noise is caused, which greatly increases the difficulty and error of staying activity identification.
  • a set of targeted evaluation methods is needed to verify the effect of the stay recognition algorithm on the recognition of stay activities in the mobile phone signaling data.
  • most of the evaluation methods for the effect of staying activity recognition are only based on subjective perception as a reference, and only a small number of studies use the job and residence data in the census to evaluate the reliability of mobile phone signaling data. verify.
  • considering the diversity of human travel activities it is not universal to use only job and residence data for stop identification assessment.
  • due to the limitation of data collection and privacy protection it is difficult for the above research to obtain the real verification data set corresponding to the mobile phone signaling data, and it is impossible to realize the reliability verification by means of the correct stop point of the individual.
  • the present application provides a method, system, terminal and storage medium for staying identification evaluation of mobile phone signaling data, aiming to solve one of the above-mentioned technical problems in the prior art at least to a certain extent.
  • a stop identification evaluation method for mobile phone signaling data comprising:
  • a stay identification algorithm is used to identify the stay activity of the travel target in the travel area
  • a progressive stop recognition evaluation system is constructed, and the stop activity recognition result of the travel target is evaluated through the GPS data and the stop recognition evaluation system.
  • the technical solution adopted in the embodiment of the present application further includes: the collected mobile phone signaling data of the travel target in the travel area and the corresponding GPS data are specifically:
  • GPS data of the travel target through a mobile phone positioning system or a GPS locator.
  • the collection of mobile phone signaling data and corresponding GPS data of the travel target in the travel area further includes:
  • the stay activity in the GPS data is marked according to the travel log of the travel target, and the mobile phone signaling data is preprocessed in combination with the GPS data; the preprocessing includes the processing of the mobile phone signaling data. Missing, redundant, or/and discrete points are imputed or discarded.
  • the collection of mobile phone signaling data and corresponding GPS data of the travel target in the travel area further includes:
  • the cell phone signaling data and the GPS data are checked by the base station unit, the abnormal values outside the travel area in the mobile phone signaling data and the GPS data are deleted, and the Statistical characteristics of GPS data in time and space;
  • the statistical features at the time level include travel activity type distribution, travel activity time distribution, and stay activity time distribution;
  • the statistical features at the spatial level include the spatial distribution of stay locations and the spatial distribution of travel distances.
  • the technical solution adopted in the embodiment of the present application further includes: the stay identification algorithm includes SMoT, SMUoT or TwoStages&MAD.
  • the technical solution adopted in the embodiment of the present application further includes: constructing a progressive stop recognition evaluation system according to the spatiotemporal sampling characteristics of mobile phone signaling data, and using the GPS data and the stop recognition evaluation system to determine the stop activity of the travel target
  • the identification results are evaluated as follows:
  • the spatial discrimination is used to judge whether the stay space position of the travel target in the stay activity is correct;
  • the evaluation method of the spatial discrimination is to determine whether the spatial range of the stop point identified by the stop recognition algorithm and the correct stop point are adjacent.
  • the evaluation index of the spatial discrimination is the proportion of the number of correct stop point samples within a given spatial range;
  • the space-time state discrimination is used to identify the stay space position of the travel target in the stay activity and the proportion of the corresponding stay duration; Whether the spatial range of the stop point and the correct stop point is adjacent, and the ratio of the length of stay of the identified stop point to the duration of the whole day; the evaluation index of the space-time state discrimination is the number of samples of the correct stop point in the given spatial range. The proportion and the proportion of the cumulative duration of the stay activity at the correct stop point;
  • the space-time object discrimination is used to identify the stop space position and stop start and end time of the travel target in the stop activity; the evaluation method of the space-time object discrimination is to determine the difference between the stop point and the stop point identified by the stop recognition algorithm.
  • the spatial range of the correct stop point and whether the stop start and end times are adjacent; the evaluation index of the space-time object discrimination is the proportion of the number of correct stop point samples within a given space range and time range.
  • a system for stopping identification and evaluation for mobile phone signaling data including:
  • Data collection module used to collect the mobile phone signaling data and the corresponding GPS data of the travel target in the travel area
  • Stop identification module used to identify the stop activity of the travel target in the travel area by using the stop identification algorithm based on the mobile phone signaling data;
  • Stay evaluation module used to construct a progressive stay recognition evaluation system based on the spatiotemporal sampling characteristics of mobile phone signaling data, and evaluate the stay activity recognition result of the travel target through the GPS data and the stay recognition evaluation system.
  • a terminal includes a processor and a memory coupled to the processor, wherein,
  • the memory stores program instructions for implementing the method for evaluating the stop identification for mobile phone signaling data
  • the processor is configured to execute the program instructions stored in the memory to control dwell recognition evaluation for cell phone signaling data.
  • a storage medium storing program instructions executable by a processor, where the program instructions are used to execute the method for evaluating the stop identification and evaluation for mobile phone signaling data.
  • the beneficial effects of the embodiments of the present application are: the method for evaluating the stop identification of mobile phone signaling data in the embodiments of the present application collects the mobile phone signaling data of the travel target and the corresponding GPS data, and is based on the mobile phone signaling data.
  • the data uses the stop recognition algorithm to identify the stop activities of the travel target in the travel area, and according to the spatio-temporal sampling characteristics of mobile phone signaling data, a progressive stop recognition evaluation system is constructed. As well as space-time object discrimination and other perspectives, the results of stay activity recognition are evaluated.
  • the embodiments of the present application can fully consider the noise characteristics and interference sources of mobile phone signaling data during stay identification, provide systematic verification and evaluation for mobile phone signaling data stay identification algorithms, and provide key technical support for many studies based on mobile phone signaling data.
  • Fig. 1 is a flow chart of a method for assessing stop identification of mobile phone signaling data according to an embodiment of the present application
  • FIG. 2 is a schematic structural diagram of a system for stopping identification and evaluation of mobile phone signaling data according to an embodiment of the application;
  • FIG. 3 is a schematic structural diagram of a terminal according to an embodiment of the present application.
  • FIG. 4 is a schematic structural diagram of a storage medium according to an embodiment of the present application.
  • FIG. 1 is a flowchart of a method for evaluating a stop identification for mobile phone signaling data according to an embodiment of the present application.
  • the method for evaluating the stop identification for mobile phone signaling data according to the embodiment of the present application includes the following steps:
  • S1 collect the original mobile phone signaling data of the travel target and the corresponding GPS data
  • the GPS data of the travel target can be obtained through a mobile phone positioning system or a GPS locator.
  • S2 Mark the stay activities in the GPS data according to the travel log of the travel target, and preprocess the original mobile phone signaling data in combination with the GPS data to generate a mobile phone signaling data set and a GPS verification data set for the mobile phone signaling data;
  • the preprocessing performed on the original cell phone signaling data includes interpolation or abandonment of missing values, redundant values or/and discrete points of the original cell phone signaling data.
  • the cell phone signaling data set and the GPS verification data set are verified by the base station unit (that is, the outliers outside the travel area in the data set are deleted), and the GPS is calculated at the level of population mobility indicators. Verify the statistical characteristics of the dataset at the temporal and spatial levels;
  • the statistical characteristics of the GPS verification data set at the time level include travel activity type distribution, travel activity time distribution, and stay activity time distribution. Travel distance spatial distribution and other characteristics, and statistical characteristics are used to provide a reference for the matching distance threshold and matching time threshold for the evaluation of the identification result of the stay activity.
  • S4 Based on the mobile phone signaling data set, use the stop recognition algorithm to identify the stop activities of the travel target in the travel area;
  • the stay identification algorithm includes but is not limited to SMoT, SMUoT, TwoStages&MAD, etc.
  • the identified stay activity includes information such as the stay space position of the travel target, the start and end time of the stay, and the length of the stay.
  • S5 According to the spatiotemporal sampling characteristics of mobile phone signaling data, build a progressive stop recognition evaluation system, and evaluate the stop activity recognition results of the travel target through the GPS verification data set and the stop recognition evaluation system;
  • the embodiment of the present application selects the application scenarios, evaluation methods, evaluation indicators, and evaluation parameters (including a given space range and a given time range), etc., to construct a set of mobile phone signaling data stay recognition algorithm evaluation system based on GPS data for progressive evaluation of mobile phone signaling data stay activity recognition results.
  • the results of stay activity recognition are evaluated from three perspectives. in:
  • Spatial discrimination is used to determine whether the stay space position of the travel target in the stay activity is correct; the evaluation method of spatial discrimination is to determine whether the spatial range of the identified stop point and the correct stop point is adjacent (the difference between the identified stop point and the correct stop point) Whether the spatial distance between them is within the set distance range), the evaluation index is the proportion of the number of correct stop point samples within the given spatial range.
  • the spatial-temporal state discrimination is used to identify the spatial location of the travel target in the stay activity and the proportion of the corresponding stay duration; the evaluation method of the spatial-temporal state discrimination is to determine whether the identified stop point is adjacent to the correct stop point in space. , and the ratio of the length of stay at the identified stop points to the total time of the day.
  • the evaluation indicators are the proportion of the number of correct stop point samples within a given space range and the proportion of the accumulative length of stay activities at the correct stop points.
  • the spatial-temporal object discrimination is used to identify the stop space position and stop start and end time of the travel target in the stop activity; the evaluation method of the space-time object discrimination is to determine the spatial range of the identified stop point and the correct stop point and whether the stop start and end time is not. Proximity, its evaluation index is the proportion of the number of correct stop point samples within a given spatial range and a given time range.
  • the SMoT, SMUoT and TwoStages&MAD stay identification algorithms are reproduced on the constructed mobile phone signaling data set, and the mobile phone signaling data stay identification results are obtained;
  • the mobile phone signaling data stay recognition algorithm evaluation system constructed in the embodiment conducts evaluations from three perspectives: space discrimination, space-time discrimination, and space-time object discrimination on the mobile phone signaling data stay recognition results, and the evaluation results show that each stay recognition algorithm.
  • the difference between the identified stop point and the active stop point of the original mobile phone signaling data provides a systematic and accurate verification evaluation for the mobile phone signaling data stop identification algorithm.
  • the stop identification evaluation method for mobile phone signaling data in the embodiment of the present application collects mobile phone signaling data and corresponding GPS data of the travel target, uses a stop identification algorithm based on the mobile phone signaling data to identify the stop activity of the travel target in the travel area, and Aiming at the spatio-temporal sampling characteristics of mobile phone signaling data, a progressive stop recognition evaluation system is constructed. According to the GPS data and the evaluation system, the stop activity recognition results are evaluated from multiple perspectives, such as space discrimination, space-time state discrimination, and space-time object discrimination. Evaluate.
  • the embodiments of the present application can fully consider the noise characteristics and interference sources of mobile phone signaling data during stay identification, provide systematic verification and evaluation for mobile phone signaling data stay identification algorithms, and provide key technical support for many studies based on mobile phone signaling data.
  • FIG. 2 is a schematic structural diagram of a system for stopping identification and evaluation of mobile phone signaling data according to an embodiment of the present application.
  • the stop identification evaluation system 40 for mobile phone signaling data according to the embodiment of the present application includes:
  • Data collection module 41 used to collect mobile phone signaling data and corresponding GPS data of the travel target in the travel area;
  • Stop identification module 42 used to identify the stop activity of the travel target in the travel area by using the stop identification algorithm based on the mobile phone signaling data;
  • the stay evaluation module 43 is used for constructing a progressive stay recognition evaluation system according to the spatiotemporal sampling characteristics of the mobile phone signaling data, and evaluates the stay activity recognition result of the travel target through the GPS data and the stay recognition evaluation system.
  • FIG. 3 is a schematic structural diagram of a terminal according to an embodiment of the present application.
  • the terminal 50 includes a processor 51 and a memory 52 coupled to the processor 51 .
  • the memory 52 stores program instructions for implementing the above-mentioned method for evaluating the stay identification for mobile phone signaling data.
  • the processor 51 is configured to execute program instructions stored in the memory 52 to control the stay identification evaluation for the cell phone signaling data.
  • the processor 51 may also be referred to as a CPU (Central Processing Unit, central processing unit).
  • the processor 51 may be an integrated circuit chip with signal processing capability.
  • the processor 51 may also be a general purpose processor, digital signal processor (DSP), application specific integrated circuit (ASIC), off-the-shelf programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware component .
  • DSP digital signal processor
  • ASIC application specific integrated circuit
  • FPGA off-the-shelf programmable gate array
  • a general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
  • FIG. 4 is a schematic structural diagram of a storage medium according to an embodiment of the present application.
  • the storage medium of this embodiment of the present application stores a program file 61 capable of implementing all the above methods, wherein the program file 61 may be stored in the above-mentioned storage medium in the form of a software product, and includes several instructions to make a computer device (which may It is a personal computer, a server, or a network device, etc.) or a processor (processor) that executes all or part of the steps of the methods of the various embodiments of the present application.
  • a computer device which may It is a personal computer, a server, or a network device, etc.
  • processor processor
  • the aforementioned storage medium includes: U disk, mobile hard disk, Read-Only Memory (ROM, Read-Only Memory), Random Access Memory (RAM, Random Access Memory), magnetic disk or optical disk and other media that can store program codes , or terminal devices such as computers, servers, mobile phones, and tablets.

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Abstract

本申请涉及一种针对手机信令数据的停留识别评估方法、系统、终端以及存储介质。所述方法包括：采集出行目标在出行区域内的手机信令数据以及对应的GPS数据；基于所述手机信令数据，采用停留识别算法识别所述出行目标在出行区域的停留活动；针对所述手机信令数据的时空采样特性，构建递进式停留识别评估系统，通过所述GPS数据和停留识别评估系统对所述出行目标的停留活动识别结果进行评估。本申请实施例能够充分考虑手机信令数据在停留识别时的噪声特性及干扰来源，为手机信令数据停留识别算法提供系统的验证评估，为众多基于手机信令数据的研究提供关键技术支撑。

Description

一种针对手机信令数据的停留识别评估方法、系统、终端以及存储介质 技术领域
本申请属于手机信令数据处理技术领域，特别涉及一种针对手机信令数据的停留识别评估方法、系统、终端以及存储介质。
背景技术
手机信令数据是手机用户与发射基站或者微站之间的通信数据，其已成为最主流的大数据源。目前针对手机信令数据的研究层出不穷，但手机信令数据中没有明确指出用户的活动起始时间、活动结束时间、活动地点等停留活动信息，因此需要通过停留识别算法对手机信令数据中的活动信息进行处理。手机信令数据是基于通信基站定位技术采集，由于这种采样特殊性，导致数据采样不均匀和数据噪声，极大增加了停留活动识别的难度和误差。
验证停留识别算法对于手机信令数据中停留活动的识别效果，需要一套针对性的评估方法。现有手机信令数据的研究中，对于停留活动识别效果的评估方法大部分仅根据主观感知作为参照，只有少量研究利用人口普查中的职住地数据对手机信令数据的停留识别可靠性进行评估验证。但考虑到人类出行活动的多样性，仅使用职住地数据进行停留识别评估并不具有普适性。同时，由于数据收集限制和隐私保护限制，上述研究难以获取手机信令数据对应的真实验证数据集，无法实现借助个体正确停留点进行可靠性验证。而现有的公开数据集均无法作为手机信令数据的停留识别算法的数据支撑。因此，有必要提供一套针对手机信令数据特点的评估系统，为众多基于手机信令数据的研究提供关键技术支撑。
发明内容
本申请提供了一种针对手机信令数据的停留识别评估方法、系统、终端以及存储介质，旨在至少在一定程度上解决现有技术中的上述技术问题之一。
为了解决上述问题，本申请提供了如下技术方案：
一种针对手机信令数据的停留识别评估方法，包括：
采集出行目标在出行区域内的手机信令数据以及对应的GPS数据；
基于所述手机信令数据，采用停留识别算法识别所述出行目标在出行区域 的停留活动；
针对手机信令数据的时空采样特性，构建递进式停留识别评估系统，通过所述GPS数据和停留识别评估系统对所述出行目标的停留活动识别结果进行评估。
本申请实施例采取的技术方案还包括：所采集出行目标在出行区域内的手机信令数据以及对应的GPS数据具体为：
通过手机定位系统或GPS定位仪获取所述出行目标的GPS数据。
本申请实施例采取的技术方案还包括：所述采集出行目标在出行区域的手机信令数据以及对应的GPS数据还包括：
根据所述出行目标的出行日志对所述GPS数据中的停留活动进行标记，并结合所述GPS数据对所述手机信令数据进行预处理；所述预处理包括对所述手机信令数据的缺失值、冗余值或/和离散点进行插补或遗弃。
本申请实施例采取的技术方案还包括：所述采集出行目标在出行区域内的手机信令数据以及对应的GPS数据还包括：
根据所述出行区域内的基站分布数据对所述手机信令数据和GPS数据进行基站单元校验，删除掉所述手机信令数据和GPS数据中出行区域之外的异常值，并计算所述GPS数据在时间层面和空间层面的统计特征；
所述时间层面的统计特征包括出行活动类型分布、出行活动时间分布以及停留活动时间分布；
所述空间层面的统计特征包括停留位置空间分布以及出行距离空间分布。
本申请实施例采取的技术方案还包括：所述停留识别算法包括SMoT、SMUoT或TwoStages&MAD。
本申请实施例采取的技术方案还包括：所述针对手机信令数据的时空采样特性，构建递进式停留识别评估系统，通过所述GPS数据和停留识别评估系统对所述出行目标的停留活动识别结果进行评估具体为：
选取针对所述手机信令数据停留识别的应用场景、评估方法、评估指标及评估参数构建针对所述手机信令数据停留识别算法的停留识别评估体系，分别从空间判别、空间-时间状态判别以及空间-时间对象判别三个角度对所述停留活动识别结果进行评估；
所述空间判别用于判别所述出行目标在停留活动中的停留空间位置是否 正确；所述空间判别的评估方法为判定所述停留识别算法识别到的停留点与正确停留点的空间范围是否邻近，所述空间判别的评估指标为给定空间范围内正确停留点样本数目的占比；
所述空间-时间状态判别用于识别所述出行目标在停留活动中的停留空间位置和对应的停留时长占比；所述空间-时间状态判别的评估方法为判定所述停留识别算法识别到的停留点与正确停留点的空间范围是否邻近，以及识别到的停留点的停留时长占全天时长的比值；所述空间-时间状态判别的评估指标为给定空间范围内正确停留点样本数目的占比和正确停留点处的停留活动累计时长占比；
所述空间-时间对象判别用于识别所述出行目标在停留活动中的停留空间位置和停留起止时间；所述空间-时间对象判别的评估方法为判定所述停留识别算法识别到的停留点与正确停留点的空间范围以及停留起止时间是否邻近；所述空间-时间对象判别的评估指标为给定空间范围内和时间范围内正确停留点样本数目的占比。
本申请实施例采取的另一技术方案为：一种针对手机信令数据的停留识别评估系统，包括：
数据采集模块：用于采集出行目标在出行区域内的手机信令数据以及对应的GPS数据；
停留识别模块：用于基于所述手机信令数据，采用停留识别算法识别所述出行目标在出行区域的停留活动；
停留评估模块：用于针对手机信令数据的时空采样特性，构建递进式停留识别评估系统，通过所述GPS数据和停留识别评估系统对所述出行目标的停留活动识别结果进行评估。
本申请实施例采取的又一技术方案为：一种终端，所述终端包括处理器、与所述处理器耦接的存储器，其中，
所述存储器存储有用于实现所述针对手机信令数据的停留识别评估方法的程序指令；
所述处理器用于执行所述存储器存储的所述程序指令以控制针对手机信令数据的停留识别评估。
本申请实施例采取的又一技术方案为：一种存储介质，存储有处理器可运 行的程序指令，所述程序指令用于执行所述针对手机信令数据的停留识别评估方法。
相对于现有技术，本申请实施例产生的有益效果在于：本申请实施例的针对手机信令数据的停留识别评估方法通过采集出行目标的手机信令数据以及对应的GPS数据，基于手机信令数据采用停留识别算法识别出行目标在出行区域的停留活动，并针对手机信令数据的时空采样特性，构建递进式停留识别评估系统，根据GPS数据和评估系统从空间判别、空间-时间状态判别以及空间-时间对象判别等多个角度对停留活动识别结果进行评估。本申请实施例能够充分考虑手机信令数据在停留识别时的噪声特性及干扰来源，为手机信令数据停留识别算法提供系统的验证评估，为众多基于手机信令数据的研究提供关键技术支撑。
附图说明
图1是本申请实施例的针对手机信令数据的停留识别评估方法的流程图；
图2为本申请实施例的针对手机信令数据的停留识别评估系统结构示意图；
图3为本申请实施例的终端结构示意图；
图4为本申请实施例的存储介质的结构示意图。
具体实施方式
为了使本申请的目的、技术方案及优点更加清楚明白，以下结合附图及实施例，对本申请进行进一步详细说明。应当理解，此处所描述的具体实施例仅用以解释本申请，并不用于限定本申请。
请参阅图1，是本申请实施例的针对手机信令数据的停留识别评估方法的流程图。本申请实施例的针对手机信令数据的停留识别评估方法包括以下步骤：
S1：采集出行目标的原始手机信令数据以及对应的GPS数据；
本步骤中，可通过手机定位系统或GPS定位仪获取出行目标的GPS数据。
S2：根据出行目标的出行日志对GPS数据中的停留活动进行标记，并结 合GPS数据对原始手机信令数据进行预处理，生成手机信令数据集以及针对手机信令数据的GPS验证数据集；
本步骤中，对原始手机信令数据进行的预处理包括对原始手机信令数据的缺失值、冗余值或/和离散点进行插补或遗弃等。
S3：根据出行区域的基站分布数据对手机信令数据集和GPS验证数据集进行基站单元校验(即删除掉数据集中出行区域之外的异常值)，并在人口移动性指标层面上计算GPS验证数据集在时间层面和空间层面的统计特征；
本步骤中，计算GPS验证数据集在时间层面的统计特征包括出行活动类型分布、出行活动时间分布以及停留活动时间分布等特征，计算GPS验证数据集在空间层面的统计特征包括停留位置空间分布以及出行距离空间分布等特征，统计特征用于为停留活动识别结果评估的匹配距离阈值和匹配时间阈值提供参考依据。
S4：基于手机信令数据集，采用停留识别算法识别出行目标在出行区域的停留活动；
本步骤中，停留识别算法包括但不限于SMoT、SMUoT、TwoStages&MAD等，识别的停留活动包括出行目标的停留空间位置、停留起止时间以及停留时长等信息。
S5：针对手机信令数据的时空采样特性，构建递进式停留识别评估系统，并通过GPS验证数据集和停留识别评估系统对出行目标的停留活动识别结果进行评估；
本步骤中，针对手机信令数据的采集特点和应用场景，本申请实施例通过选取针对手机信令数据停留识别的应用场景、评估方法、评估指标、评估参数(包括给定空间范围和给定时间范围)等，构建出一套以GPS数据为依准对 手机信令数据停留活动识别结果进行递进式评估的手机信令数据停留识别算法评估体系，分别从空间判别、空间-时间状态判别以及空间-时间对象判别三个角度对停留活动识别结果进行评估。其中：
空间判别用于判别出行目标在停留活动中的停留空间位置是否正确；空间判别的评估方法为判定识别到的停留点与正确停留点的空间范围是否邻近(识别到的停留点与正确停留点之间的空间距离是否设定的距离范围内)，其评估指标是给定空间范围内正确停留点样本数目的占比。
空间-时间状态判别用于识别出行目标在停留活动中的停留空间位置和对应的停留时长占比；空间-时间状态判别的评估方法为判定识别到的停留点与正确停留点的空间范围是否邻近，以及识别到的停留点的停留时长占全天时间的比值，其评估指标是给定空间范围内正确停留点样本数目的占比和正确停留点处的停留活动累计时长占比。
空间-时间对象判别用于识别出行目标在停留活动中的停留空间位置和停留起止时间；空间-时间对象判别的评估方法为判定识别到的停留点与正确停留点的空间范围以及停留起止时间是否邻近，其评估指标为给定空间范围内给定空间范围内和时间范围内正确停留点样本数目的占比。
为了验证本申请实施例的可行性和有效性，通过在构建的手机信令数据集上对SMoT、SMUoT和TwoStages&MAD停留识别算法进行了复现，得到手机信令数据停留识别结果；然后利用本申请实施例构建的手机信令数据停留识别算法评估体系对手机信令数据停留识别结果进行了空间判别、空间-时间判别以及空间-时间对象判别三个角度的评估，评估结果显示了各停留识别算法识别到的停留点与原始手机信令数据的活动停留点的差异，从而为手机信令数据停留识别算法提供了系统、准确的验证评估。
本申请实施例的针对手机信令数据的停留识别评估方法通过采集出行目标的手机信令数据以及对应的GPS数据，基于手机信令数据采用停留识别算法识别出行目标在出行区域的停留活动，并针对手机信令数据的时空采样特性，构建递进式停留识别评估系统，根据GPS数据和评估系统从空间判别、空间-时间状态判别以及空间-时间对象判别等多个角度对停留活动识别结果进行评估。本申请实施例能够充分考虑手机信令数据在停留识别时的噪声特性及干扰来源，为手机信令数据停留识别算法提供系统的验证评估，为众多基于手机信令数据的研究提供关键技术支撑。
请参阅图2，是本申请实施例的针对手机信令数据的停留识别评估系统的结构示意图。本申请实施例的针对手机信令数据的停留识别评估系统40包括：
数据采集模块41：用于采集出行目标在出行区域内的手机信令数据以及对应的GPS数据；
停留识别模块42：用于基于手机信令数据，采用停留识别算法识别出行目标在出行区域的停留活动；
停留评估模块43：用于针对手机信令数据的时空采样特性，构建递进式停留识别评估系统，通过所述GPS数据和停留识别评估系统对所述出行目标的停留活动识别结果进行评估。
请参阅图3，为本申请实施例的终端结构示意图。该终端50包括处理器51、与处理器51耦接的存储器52。
存储器52存储有用于实现上述针对手机信令数据的停留识别评估方法的程序指令。
处理器51用于执行存储器52存储的程序指令以控制针对手机信令数据的停留识别评估。
其中，处理器51还可以称为CPU(Central Processing Unit，中央处理单元)。处理器51可能是一种集成电路芯片，具有信号的处理能力。处理器51还可以是通用处理器、数字信号处理器(DSP)、专用集成电路(ASIC)、现成可编程门阵列(FPGA)或者其他可编程逻辑器件、分立门或者晶体管逻辑器件、分立硬件组件。通用处理器可以是微处理器或者该处理器也可以是任何常规的处理器等。
请参阅图4，为本申请实施例的存储介质的结构示意图。本申请实施例的存储介质存储有能够实现上述所有方法的程序文件61，其中，该程序文件61可以以软件产品的形式存储在上述存储介质中，包括若干指令用以使得一台计算机设备(可以是个人计算机，服务器，或者网络设备等)或处理器(processor)执行本申请各个实施方式方法的全部或部分步骤。而前述的存储介质包括：U盘、移动硬盘、只读存储器(ROM，Read-Only Memory)、随机存取存储器(RAM，Random Access Memory)、磁碟或者光盘等各种可以存储程序代码的介质，或者是计算机、服务器、手机、平板等终端设备。
对所公开的实施例的上述说明，使本领域专业技术人员能够实现或使用本发明。对这些实施例的多种修改对本领域的专业技术人员来说将是显而易见的，本发明中所定义的一般原理可以在不脱离本发明的精神或范围的情况下，在其它实施例中实现。因此，本发明将不会被限制于本发明所示的这些实施例，而是要符合与本发明所公开的原理和新颖特点相一致的最宽的范围。

Claims (9)

  1. 一种针对手机信令数据的停留识别评估方法，其特征在于，包括：
    采集出行目标在出行区域内的手机信令数据以及对应的GPS数据；
    基于所述手机信令数据，采用停留识别算法识别所述出行目标在出行区域的停留活动；针对手机信令数据的时空采样特性，构建递进式停留识别评估系统，通过所述GPS数据和停留识别评估系统对所述出行目标的停留活动识别结果进行评估。
  2. 根据权利要求1所述的针对手机信令数据的停留识别评估方法，其特征在于，所采集出行目标在出行区域内的手机信令数据以及对应的GPS数据具体为：
    通过手机定位系统或GPS定位仪获取所述出行目标的GPS数据。
  3. 根据权利要求1所述的针对手机信令数据的停留识别评估方法，其特征在于，所述采集出行目标在出行区域的手机信令数据以及对应的GPS数据还包括：
    根据所述出行目标的出行日志对所述GPS数据中的停留活动进行标记，并结合所述GPS数据对所述手机信令数据进行预处理；所述预处理包括对所述手机信令数据的缺失值、冗余值或/和离散点进行插补或遗弃。
  4. 根据权利要求3所述的针对手机信令数据的停留识别评估方法，其特征在于，所述采集出行目标在出行区域内的手机信令数据以及对应的GPS数据还包括：
    根据所述出行区域内的基站分布数据对所述手机信令数据和GPS数据进行基站单元校验，删除掉所述手机信令数据和GPS数据中出行区域之外的异常值， 并计算所述GPS数据在时间层面和空间层面的统计特征；
    所述时间层面的统计特征包括出行活动类型分布、出行活动时间分布以及停留活动时间分布；
    所述空间层面的统计特征包括停留位置空间分布以及出行距离空间分布。
  5. 根据权利要求1所述的针对手机信令数据的停留识别评估方法，其特征在于，所述停留识别算法包括SMoT、SMUoT或TwoStages&MAD。
  6. 根据权利要求4所述的针对手机信令数据的停留识别评估方法，其特征在于，所述针对手机信令数据的时空采样特性，构建递进式停留识别评估系统，通过所述GPS数据和停留识别评估系统对所述出行目标的停留活动识别结果进行评估具体为：
    选取针对所述手机信令数据停留识别的应用场景、评估方法、评估指标及评估参数构建针对所述手机信令数据停留识别算法的停留识别评估体系，分别从空间判别、空间-时间状态判别以及空间-时间对象判别三个角度对所述停留活动识别结果进行评估；
    所述空间判别用于判别所述出行目标在停留活动中的停留空间位置是否正确；所述空间判别的评估方法为判定所述停留识别算法识别到的停留点与正确停留点的空间范围是否邻近，所述空间判别的评估指标为给定空间范围内正确停留点样本数目的占比；
    所述空间-时间状态判别用于识别所述出行目标在停留活动中的停留空间位置和对应的停留时长占比；所述空间-时间状态判别的评估方法为判定所述停留识别算法识别到的停留点与正确停留点的空间范围是否邻近，以及识别到的停留点的停留时长占全天时长的比值；所述空间-时间状态判别的评估指标为给定空间范围内正确停留点样本数目的占比和正确停留点处的停留活动累计时长占 比；
    所述空间-时间对象判别用于识别所述出行目标在停留活动中的停留空间位置和停留起止时间；所述空间-时间对象判别的评估方法为判定所述停留识别算法识别到的停留点与正确停留点的空间范围以及停留起止时间是否邻近；所述空间-时间对象判别的评估指标为给定空间范围内和时间范围内正确停留点样本数目的占比。
  7. 一种针对手机信令数据的停留识别评估系统，其特征在于，包括：
    数据采集模块：用于采集出行目标在出行区域内的手机信令数据以及对应的GPS数据；
    停留识别模块：用于基于所述手机信令数据，采用停留识别算法识别所述出行目标在出行区域的停留活动；
    停留评估模块：用于针对手机信令数据的时空采样特性，构建递进式停留识别评估系统，通过所述GPS数据和停留识别评估系统对所述出行目标的停留活动识别结果进行评估。
  8. 一种终端，其特征在于，所述终端包括处理器、与所述处理器耦接的存储器，其中，
    所述存储器存储有用于实现权利要求1-6任一项所述的针对手机信令数据的停留识别评估方法的程序指令；
    所述处理器用于执行所述存储器存储的所述程序指令以控制针对手机信令数据的停留识别评估。
  9. 一种存储介质，其特征在于，存储有处理器可运行的程序指令，所述程序指令用于执行权利要求1至6任一项所述针对手机信令数据的停留识别评估方法。
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CN117202106B (zh) * 2023-10-19 2024-05-14 北京融信数联科技有限公司 基于信令数据的区域空间场所属性标注方法、系统和介质
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