WO2011082613A1 - Procédé de traitement et système de traitement basés sur des informations de circulation de véhicules flottants - Google Patents

Procédé de traitement et système de traitement basés sur des informations de circulation de véhicules flottants Download PDF

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Publication number
WO2011082613A1
WO2011082613A1 PCT/CN2010/079438 CN2010079438W WO2011082613A1 WO 2011082613 A1 WO2011082613 A1 WO 2011082613A1 CN 2010079438 W CN2010079438 W CN 2010079438W WO 2011082613 A1 WO2011082613 A1 WO 2011082613A1
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WIPO (PCT)
Prior art keywords
gps data
data
vehicle
floating car
floating
Prior art date
Application number
PCT/CN2010/079438
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English (en)
Chinese (zh)
Inventor
殷庆丹
胡健
魏俊华
李建军
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北京世纪高通科技有限公司
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Application filed by 北京世纪高通科技有限公司 filed Critical 北京世纪高通科技有限公司
Publication of WO2011082613A1 publication Critical patent/WO2011082613A1/fr

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Classifications

    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions

Definitions

  • the invention relates to a processing method and a processing system based on floating car traffic information, which is submitted on January 8, 2010, and whose application number is 201010033841.4. Priority of the Chinese application, the entire contents of which are incorporated herein by reference.
  • the invention relates to the field of Intelligent Transportation Systems (ITS), in particular to a processing method and a processing system based on floating car traffic information.
  • ITS Intelligent Transportation Systems
  • real-time and dynamic traffic information can provide effective traffic planning information for vehicle travel, thereby saving travel time, improving work efficiency, and reducing energy consumption.
  • traffic data There are many techniques for collecting traffic data.
  • the commonly used collection method is a buried coil detector (also known as a fixed detector), but the fixed detector has high installation and maintenance costs, small coverage, and can only be detected. Insufficient fixed-location data, etc., led to a large amount of information "vacuum" zones on urban road networks.
  • Another automated detection method that can represent the trend of detectors is microwave radar, laser radar, ultrasonic, video detection technology and floating technology, but these methods adapt to different occasions due to different collection principles, and most of them are installed. The site and environment have special requirements.
  • GPS Global Position System
  • floating vehicles also known as motion detectors
  • the data of the relevant calculation model such as data collection, data filtering, map matching, path estimation and multi-vehicle fusion, so that the floating car GPS data and the city
  • the road network is related in time and space, and finally obtains traffic congestion information such as the speed of the vehicle and the travel time of the road through which the floating vehicle passes.
  • the invention provides a processing method and a processing system based on floating car traffic information.
  • the method for processing floating vehicle traffic information includes the following steps: Obtain the original GPS data of the floating car;
  • the original GPS data of the floating car is sorted and converted into a standard data format
  • the step of acquiring the original GPS data of the floating car is specifically: receiving the original GPS data of the floating car from the monitoring center according to the network communication transmission protocol format.
  • the step of sorting the original GPS data of the floating car into a standard data format comprises: extracting useful fields from the original GPS data of the floating car according to the floating car standard data format requirement, wherein the useful fields include Vehicle source ID, vehicle ID, sample time, latitude and longitude coordinates, speed, direction, state, etc.; convert the position coordinates derived from surveying into encrypted coordinates in accordance with national regulations; and save the sorted floating car GPS data to different Within the timestamp file.
  • the interval between the start time and the next time stamp is determined: if the interval time is less than twice the return period, the floating car GPS data is saved in the next time stamp file, Otherwise saved in the file with the current timestamp.
  • the step of pre-processing the original GPS data of the finished floating car comprises: determining the validity of the floating car GPS data, filtering the invalid data; performing statistics on the filtered valid data records; and pre-processing the data result Make the output.
  • the determining the validity of the GPS data of the floating vehicle includes: determining whether the latitude and longitude coordinates of the GPS data are incorrect; determining whether the GPS data exceeds the sampling period; determining whether the latitude and longitude coordinates of the GPS data exceed the latitude and longitude range; determining the GPS data Whether it exceeds the grid range, where the grid range is the range in which the grid within the specified output grid extends to the outside world; and, whether the state of the floating vehicle GPS data is empty.
  • the statistics of the filtered valid data records include: Sorting the GPS data according to the vehicle ID, vehicle ID, and time sequence, and filtering the repeated GPS data records and the individual GPS data records under the vehicle ID.
  • the output of the preprocessed data results includes three cases: Case 1: The vehicle source ID and the vehicle ID are all consistent with the previous record, and the GPS data is stored in the current vehicle source ID and the data structure of the vehicle ID. Next, and the number of GPS data is increased by one; Case 2: The vehicle source ID is consistent with the previous record, the vehicle ID is inconsistent with the previous record, then the number of vehicle IDs is increased by one, and the vehicle ID is reset to the current new vehicle ID, new The number of GPS data of the vehicle ID is set to one, and the GPS data is stored under the data structure of the new vehicle ID; Case 3: The vehicle source ID is inconsistent with the previous record.
  • the reset vehicle source ID is the current new vehicle source ID
  • the vehicle ID is the current new vehicle ID
  • the number of GPS data of the new vehicle ID is set to one
  • the GPS data is stored in the new vehicle source ID. , under the data structure of the new vehicle ID.
  • the processing system based on the floating vehicle traffic information provided by the present invention includes:
  • a collecting device for acquiring original GPS data of the floating car
  • a sorting unit configured to sort the original GPS data of the floating car acquired by the collecting device, and convert the data into a standard data format
  • a pre-processing unit configured to pre-process the original GPS data of the floating car after the finishing unit is finished.
  • the collecting device may be configured to receive the original GPS data of the floating car from the monitoring center according to the network communication transmission protocol format; the sorting unit may be used to meet the standard data format requirement of the floating car, from the original GPS of the floating car Extracting useful fields from the data; converting the position coordinates derived from the survey to the encrypted coordinates conforming to the state; saving the sorted floating car GPS data to different time stamp files; the pre-processing unit can be used for floating
  • the GPS data validity of the vehicle is determined, and the invalid data is filtered; the number of valid data records after filtering is counted; and the preprocessed data result is output.
  • the original data is first received from the monitoring center, and then the original data is sorted into a standard data format, and finally the processed data is preprocessed to filter the useless without any reference value or
  • the erroneous data can greatly improve the point matching rate, reduce the abnormal situation processing, and improve the effectiveness and efficiency of the floating vehicle traffic information processing.
  • FIG. 1 is a schematic flow chart of a method for processing traffic information based on floating vehicles according to the present invention
  • FIG. 2 is an illustration of a range of grids in the present invention
  • FIG. 3 is a structural diagram of a processing system based on floating car traffic information provided by the present invention. detailed description
  • the present invention provides a method for processing traffic information based on floating vehicles, including the following:
  • the original GPS data of the floating car is received from the monitoring center according to the network communication transmission protocol format.
  • Floating car GPS data is generally transmitted to the floating car handling system by the taxi company/dispatch monitoring center (hereinafter referred to as the monitoring center) using network communication.
  • the monitoring center and the floating car processing system are connected, and the floating car GPS data is received from the monitoring center in real time and correctly.
  • the system can use the configuration table method to configure the network parameters of the receiving and sending targets. Configure the socket by reading the network parameters in the configuration table, then accept the raw floating car GPS data from the monitoring center.
  • the data collected by the floating car generally includes time stamp, position coordinates, instantaneous speed, driving direction, operating status and other contents. Since the data recorded by taxis belonging to different cities and different monitoring centers will differ in parameter definition, type, format, etc., it is necessary to convert the received data into a standard format for subsequent processing.
  • the specific steps to organize the data are as follows:
  • Step 1 According to the floating car standard data format requirements, extract useful fields from the original GPS data of the floating car.
  • the floating car From the raw data of the floating car, organize the valid information according to the floating car data format requirements. What must exist in the original data: vehicle ID, vehicle ID, sample time, latitude and longitude coordinates, speed and direction. If other field data does not exist, it is supplemented with the specified value, and the logic of the data is checked, such as the range of values such as repeatability, coordinates, speed, direction, etc., to filter the wrong floating car GPS data. In addition, some monitoring centers also provide some extension fields. If these extension fields match the subsequent maps, the path recommendation has no use and needs to be filtered.
  • the collated data structure only needs to include useful fields such as vehicle ID, vehicle ID, sampling time, longitude, latitude, speed, direction, status, etc., to delete those useless extension fields.
  • the present invention can use the configuration table method to describe the data structure and the extracted data.
  • Step 2 Convert the position coordinates from the survey to the encrypted coordinates that meet the national regulations.
  • Step 3 Save the sorted floating car GPS data to a different time stamp file.
  • Evaluation criteria for floating-car GPS data systems typically include real-time, accuracy, and system coverage. In order to realize the real-time and feasibility of traffic information, it is necessary to save the sorted floating car GPS data to different time stamp files.
  • the floating car handling system of the present invention stores floating car GPS data in five minutes as a time stamp.
  • the present invention starts when saving the floating vehicle GPS data.
  • the time interval of the receiving time from the next time stamp is less than twice the return period, and the floating car GPS data is saved in the next time stamp file. This can effectively avoid the loss of valid data and improve the coverage of the floating car system.
  • the start receiving time is 4'30
  • the return period is 60 seconds.
  • the next timestamp is 5 ⁇ 0
  • the next timestamp is 30 seconds, which is less than the two of the return period. Times, so the GPS data exists under 5 ⁇ 0" under this timestamp file.
  • the accuracy of GPS data is about 15m. Due to objective reasons such as GPS terminals being blocked by buildings, individual GPS data may cause drift errors.
  • the GPS data of the floating car needs to be sorted and sorted in order according to the vehicle source ID, the vehicle ID, and the chronological order. The specific steps of data preprocessing are as follows:
  • Step 1 Determine the validity of the GPS data of the floating car and filter the invalid data.
  • the quality of the GPS point location information sent by the floating car is uneven, there is useless data beyond the sampling period and coverage, and there may be useless or erroneous data that has no reference value for the road congestion state estimation, which needs to be valid for the GPS data itself. Judgment of state and state, filtering invalid data.
  • the effectiveness of the floating car GPS data itself is determined, including the following:
  • the grid range is a range of grids that are expanded to the outside world by a grid within the specified output grid.
  • the blank grid is the specified output range grid
  • the gray grid is the grid range added after expansion.
  • the state of the GPS data of the floating car generally includes the states of no-load, full load, and the like.
  • the taxis in the non-carrier state will be parked on the roadside or slowly travel along the road, so the data collected is It can't truly reflect the road conditions at that time, and when the instantaneous speed is very small, the GPS data tends to have a serious static drift phenomenon. Therefore, it is necessary to eliminate the data recorded as no-load in advance to truly reflect the current road condition.
  • Step 2 Perform statistics on the number of valid data records after filtering.
  • the data validity flag is set by sequentially determining the latitude and longitude of the data, the sampling period, the grid range, the event, state of the GPS data, and the like. After the validity of the data is set, the GPS data is sorted according to the vehicle source ID, the vehicle ID, and the time sequence, which facilitates the subsequent effective record count.
  • the number of valid data records is the number of valid vehicle IDs, the number of vehicle IDs, and the amount of valid GPS data for each vehicle ID. By counting the number of effective records, it is possible to allocate the number of vehicle sources, the number of vehicles, and the space of GPS point data at a time, which can improve the processing efficiency.
  • the statistical method is specifically:
  • the record and the previous record are the same vehicle source ID, and then it is judged whether or not the previous record is the same vehicle ID, and finally it is judged whether the sample time is repeated, and the GPS data record of the repeated time is filtered.
  • the number of valid records can be counted by the above three steps, and a single GPS data record under the vehicle ID can be filtered by counting the number of valid records.
  • the record is a single point GPS data record under the vehicle ID. , is the need to filter. Or if the vehicle source ID is inconsistent with the current record, the vehicle ID under the current vehicle source ID is determined. If the number of GPS data records under the vehicle ID is less than or equal to one, the record is a single point GPS data record under the vehicle ID. It also needs to be filtered. This is because if a vehicle ID has only one GPS data, the GPS data cannot be used for subsequent path estimation, so the GPS data is invalid.
  • Step 3 Output the preprocessed data results.
  • Case 1 When the vehicle source ID and the vehicle ID are both consistent with the previous record, the GPS data is stored under the current vehicle source ID and vehicle ID data structure, and the number of GPS data is increased by one.
  • Case 2 The vehicle source ID is consistent with the previous record. If the vehicle ID is inconsistent with the previous record, the vehicle ID is a new ID, so the number of vehicle IDs is increased by one, and the vehicle ID is reset to the current new vehicle ID. The number of GPS data of the vehicle ID is set to one, and the GPS data is stored under the data structure of the new vehicle ID.
  • the source ID is inconsistent with the previous record.
  • the source ID is a new vehicle ID, which is a new vehicle ID under the new vehicle ID. Therefore, the number of vehicle IDs is increased by one, the reset vehicle source ID is the current new vehicle source ID, the vehicle ID is the current new vehicle ID, the number of GPS data of the new vehicle ID is set to one, and the GPS data is stored in the new vehicle source ID. , under the new vehicle ID under the data structure.
  • the original GPS data can significantly improve the point matching rate after data preprocessing.
  • the map matching processing will be simpler and more convenient, and the abnormal situation processing can be reduced, which can improve the processing efficiency and speed up the processing efficiency. Therefore, it is necessary to pre-process the received GPS data before calculation.
  • Floating vehicle technology does not need to increase road facilities, and has no negative impact on the environment; Detection information can dynamically reflect the movement of road traffic flow in real time; Wide coverage; High positioning accuracy, positioning
  • the data includes the instantaneous speed of the traveling vehicle at the positioning time and the positioning position, which implies the changing characteristics of the road traffic flow, and when a large number of floating vehicles are running in the road network, the traffic operation status of the entire road network can be reflected in real time.
  • the invention utilizes the floating car technology, firstly receives the original data from the monitoring center, and then sorts the original data into a standard data format, and finally preprocesses the sorted data, filters the useless or erroneous data without any reference value, and can greatly improve the point.
  • the matching rate reduces the abnormal situation processing and improves the effectiveness and efficiency of the floating vehicle traffic information processing.
  • the present invention further provides a processing system based on floating car traffic information, including:
  • the collecting device 31 is configured to acquire original GPS data of the floating car; a sorting unit 32, configured to sort the original GPS data of the floating car acquired by the collecting device 31, and convert the data into a standard data format;
  • the pre-processing unit 33 is configured to pre-process the original GPS data of the floating car that is arranged by the finishing unit 32. specifically,
  • the collecting device 31 is configured to receive the original GPS data of the floating car from the monitoring center according to the network communication transmission protocol format.
  • the sorting unit 32 is configured to extract useful fields from the original GPS data of the floating car according to the floating car standard data format requirement; convert the position coordinates derived from the surveying into encrypted coordinates conforming to the state regulations; The car GPS data is saved to a different timestamp file.
  • the pre-processing unit 33 is configured to determine the validity of the GPS data of the floating car, filter the invalid data, and perform statistics on the number of valid data records after filtering; and output the result of the pre-processed data.

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  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Traffic Control Systems (AREA)
  • Position Fixing By Use Of Radio Waves (AREA)
  • Navigation (AREA)

Abstract

L'invention porte sur un procédé de traitement basé sur des informations de circulation d'un véhicule flottant, lequel procédé comprend les étapes suivantes : l'acquisition de données brutes de système de positionnement global (GPS) d'un véhicule flottant (11), le collationnement des données GPS brutes du véhicule flottant et la conversion des données en un format de données standard (12), et le prétraitement des données GPS brutes collationnées du véhicule flottant (13). Un système de traitement basé sur des informations de circulation d'un véhicule flottant comprend un dispositif de collecte (31), une unité de collationnement (32) et une unité de prétraitement (33).
PCT/CN2010/079438 2010-01-08 2010-12-03 Procédé de traitement et système de traitement basés sur des informations de circulation de véhicules flottants WO2011082613A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201010033841A CN101807343A (zh) 2010-01-08 2010-01-08 一种基于浮动车交通信息的处理方法及处理系统
CN201010033841.4 2010-01-08

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WO2011082613A1 true WO2011082613A1 (fr) 2011-07-14

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Families Citing this family (13)

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CN101807343A (zh) * 2010-01-08 2010-08-18 北京世纪高通科技有限公司 一种基于浮动车交通信息的处理方法及处理系统
CN102081845B (zh) * 2011-01-25 2013-08-07 北京世纪高通科技有限公司 交通信息的预处理方法及装置
CN102355471B (zh) * 2011-06-14 2013-10-23 上海雷腾软件有限公司 一种双源分布式车辆位置数据采集的方法及其系统
CN103000022B (zh) * 2011-09-08 2015-04-08 北京掌城科技有限公司 一种实时交通信息生成方法
CN103093608B (zh) * 2011-10-31 2014-12-24 北京掌城科技有限公司 高频gps数据的过滤方法及系统
CN102521982B (zh) * 2011-12-20 2013-12-04 北京世纪高通科技有限公司 Fcd引擎数据资源方法和装置
CN103093618B (zh) * 2013-01-05 2015-09-23 北京世纪高通科技有限公司 一种交通数据处理方法及装置
CN103050009B (zh) * 2013-01-21 2015-02-18 北京世纪高通科技有限公司 一种提供动态交通信息的方法、装置及系统
CN104316944B (zh) * 2014-11-17 2017-07-14 赵伟 一种快捷记录gps点信息的系统和方法
CN104485000B (zh) * 2014-12-31 2016-09-14 浙江银江智慧交通集团有限公司 一种浮动车数据源有效性分析处理方法
CN105424051B (zh) * 2016-01-05 2019-01-18 上海雷腾软件股份有限公司 一种确定车辆行驶路径的方法和设备
CN105424050B (zh) * 2016-01-05 2018-10-12 上海雷腾软件股份有限公司 一种确定车辆行驶路径的方法和设备
CN107452207B (zh) * 2016-06-01 2020-04-10 高德软件有限公司 浮动车数据源评价方法、装置及系统

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