CN102881171B - Vehicle detecting method, vehicle detecting system and vehicle path planning system - Google Patents

Vehicle detecting method, vehicle detecting system and vehicle path planning system Download PDF

Info

Publication number
CN102881171B
CN102881171B CN201210164144.1A CN201210164144A CN102881171B CN 102881171 B CN102881171 B CN 102881171B CN 201210164144 A CN201210164144 A CN 201210164144A CN 102881171 B CN102881171 B CN 102881171B
Authority
CN
China
Prior art keywords
signal
vehicle
magnetic signal
car
data
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201210164144.1A
Other languages
Chinese (zh)
Other versions
CN102881171A (en
Inventor
李云龙
张足生
于峰崎
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenzhen Institute of Advanced Technology of CAS
Original Assignee
Shenzhen Institute of Advanced Technology of CAS
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shenzhen Institute of Advanced Technology of CAS filed Critical Shenzhen Institute of Advanced Technology of CAS
Priority to CN201210164144.1A priority Critical patent/CN102881171B/en
Publication of CN102881171A publication Critical patent/CN102881171A/en
Application granted granted Critical
Publication of CN102881171B publication Critical patent/CN102881171B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Traffic Control Systems (AREA)

Abstract

The invention discloses a vehicle detecting method. The method comprises the following steps of: acquiring the original three-dimensional terrestrial magnetism signal of a destination in real time, and acquiring corresponding three-dimensional baseline data from the original three-dimensional terrestrial magnetism signal; filtering the acquired three-dimensional terrestrial magnetism signal, and acquiring smooth three-dimensional terrestrial magnetism signal data from the filtered three-dimensional terrestrial magnetism signal; calculating difference values between the three-dimensional terrestrial magnetism signal data and the baseline data, if at least two difference values in three difference values are greater than a preset threshold value, determining the three-dimensional terrestrial magnetism signal as a vehicle signal, and updating the baseline data according to a determination result of the three-dimensional terrestrial magnetism signal; and when the three-dimensional terrestrial magnetism signal is continuously determined to be the vehicle signal for multiple times, marking a vehicle state. By the vehicle detecting method, a baseline can be dynamically adjusted through the determination result of the three-dimensional terrestrial magnetism signal, and the problem of drifting of a terrestrial magnetic field is well solved; and the vehicle signal is continuously judged for multiple times, so that detection leakage or detection redundancy is prevented, and the detection accuracy is greatly improved.

Description

Vehicle checking method and vehicle detecting system thereof and vehicle path planning system
Technical field
The present invention relates to vehicle detection, particularly relate to a kind of vehicle checking method and vehicle detecting system thereof and vehicle path planning system.
Background technology
Vehicle detection be intelligent transportation system the most basis be also important step the most.On current road traffic, conventional vehicle detection technology mainly contains toroid winding, video, microwave and magnetoresistive transducer, the vehicle detection technology of magnetoresistive transducer, having that size is little, easy for installation, reactionless to nonferromagnetic object, reliability high, is a kind of well vehicle detection apparatus.
But traditional vehicle checking method based on magnetoresistive transducer is easily subject to the impact of geomagnetic excursion, the vehicle response signal detecting under same detection site is also not quite similar, and causes undetected or examines more, and precision is lower.
Summary of the invention
Based on this, provide vehicle checking method and vehicle detecting system and vehicle path planning system that a kind of precision is higher.
A kind of vehicle checking method, comprises the following steps:
The original dimensionally magnetic signal on Real-time Collection target ground obtains corresponding three-dimensional base-line data from described original dimensionally magnetic signal;
The dimensionally magnetic signal collecting is carried out to filtering, and therefrom obtain level and smooth dimensionally magnetic signal data;
Described dimensionally magnetic signal data and base-line data are done to difference calculating, if having at least two to be greater than predetermined threshold value in three differences, described dimensionally magnetic signal has been judged as to car signal, and
According to the judged result of described dimensionally magnetic signal, described base-line data is upgraded;
When continuous several times dimensionally magnetic signal be car signal, be designated as car state.
In an embodiment, also comprise therein:
There is car state when having car state at every turn next time, be designated as a car and passed through, and cumulative vehicle fleet size;
According to cumulative vehicle fleet size, calculate vehicle flowrate;
By vehicle flowrate data upload to respective server.
In an embodiment, described base-line data is carried out step of updating according to the judged result of described dimensionally magnetic signal and is comprised therein:
If dimensionally magnetic signal is for there being car signal, base-line data is according to formula Bs i ( k ) = Bs i ( k - 1 ) × ( 1 - ∂ i ) + f i ( k ) × ( ∂ i ) Upgrade; Otherwise base-line data remains unchanged;
Wherein, Bs (k) is self-adaptation baseline value, for weighting coefficient, f (k) is the magnetic signal after after filtering, the number of times that k is collection signal, and one of i is D coordinates value.
Therein in an embodiment, if continuous several times dimensionally magnetic signal be car signal, be designated as car state.
In an embodiment, described filtering adopts mean filter as default filter patterns therein, if car signal detected, next filtering adopts medium filtering, if car signal do not detected, next filtering adopts mean filter.
In an embodiment, described mean filter comprises by default sample window samples to original dimensionally magnetic signal, using the arithmetic mean value of sampled value as filtered dimensionally magnetic signal therein.
In an embodiment, described medium filtering comprises by default sample window samples to original dimensionally magnetic signal, using the intermediate value of sampled value as filtered dimensionally magnetic signal therein.
In an embodiment, also relate to a kind of vehicle detecting system therein, comprising:
Acquisition module for the original dimensionally magnetic signal on Real-time Collection target ground, and obtains base-line data from described original dimensionally magnetic signal;
Filter, for the dimensionally magnetic signal collecting is carried out to filtering, and therefrom obtains dimensionally magnetic signal data;
Pick-up unit, for described dimensionally magnetic signal data and base-line data are done to difference calculating, if having at least two to be greater than predetermined threshold value in three differences, has been judged as car signal by described dimensionally magnetic signal; And
When continuous several times dimensionally magnetic signal be car signal, be designated as car state;
Update module, for upgrading described base-line data according to the judged result of described dimensionally magnetic signal.
In an embodiment, also comprise therein
Counting assembly, for have car state when having car state at every turn next time, has been designated as a car by target ground, and cumulative vehicle fleet size;
Vehicle flowrate calculation element, according to cumulative vehicle fleet size, calculates the vehicle flowrate on target ground;
Upper transmission module, for by described vehicle flowrate data upload to respective server.
In an embodiment, also relate to a kind of vehicle path planning system therein, comprising:
Vehicle detecting system, for calculating vehicle flowrate and uploading vehicle flowrate data to Cloud Server;
Cloud Server, the vehicle flowrate data of uploading for receiving vehicle detecting system, and according to user's request, calculate corresponding Route Planning Data by vehicle flowrate data, be issued to relative users terminal;
User terminal, for send path planning request to Cloud Server, and the Route Planning Data issuing according to Cloud Server carries out path planning.
Above-mentioned a kind of vehicle checking method and system and vehicle path planning system, can adjust dynamically baseline by the judged result of magnetic signal dimensionally, well solve terrestrial magnetic field drift phenomenon, and to there being the continuous several times judgement of car signal, avoided undetected or examined more, larger raising detect precision.
Brief description of the drawings
Fig. 1 is the FB(flow block) of the vehicle checking method of an embodiment;
Fig. 2 is the state transition diagram of the vehicle checking method of an embodiment;
Fig. 3 is the structural representation of the vehicle detecting system of an embodiment;
Fig. 4 is the structural representation of the vehicle path planning system of an embodiment.
Embodiment
As shown in Figure 1, a kind of vehicle checking method, comprises the following steps:
The original dimensionally magnetic signal on S110, Real-time Collection target ground obtains corresponding three-dimensional base-line data from described original dimensionally magnetic signal;
S120, the dimensionally magnetic signal collecting is carried out to filtering, and therefrom obtain level and smooth dimensionally magnetic signal data;
S130, described dimensionally magnetic signal data and base-line data are done to difference calculate;
If have at least two to be greater than predetermined threshold value in three differences of S140, described dimensionally magnetic signal is judged as to car signal, otherwise has been without car signal, described base-line data obtains from original dimensionally magnetic signal, and
S150, according to the judged result of described dimensionally magnetic signal, described base-line data is upgraded;
S160, when continuous several times dimensionally magnetic signal be car signal, be designated as car state, same, continuous during without car signal when detecting, be designated as detected state.
The present embodiment method can be adjusted baseline dynamically by the judged result of magnetic signal dimensionally, well solve terrestrial magnetic field drift phenomenon, and to there being the continuous several times judgement of car signal, avoid undetected or examined more, larger raising the precision detecting, can realize in road and parking lot the detection of vehicle.
As shown in Figure 2, in the time entering vehicle detection, detected state and the circulation that has two states of car state will be carried out.In detected state, constantly the signal that collects of judgement has car signal or without car signal; What collect when continuous several times is, while having car signal, to have entered car state from detected state, and what collect when continuous several times is during without car signal, and rebound detected state has so been realized the circulation change of state.Every circulation primary just note is made a car and is passed through, and so just can realize the detection of road traffic, more real-time road information is arrived to Surveillance center by wireless network transmissions, has realized thus the real-time monitoring of road traffic.
Particularly, in order to reach the real-time monitoring of traffic route vehicle flowrate, in an embodiment, also comprise therein:
There is car state when having car state at every turn next time, be designated as a car and passed through, and cumulative vehicle fleet size;
According to cumulative vehicle fleet size, calculate vehicle flowrate;
By vehicle flowrate data upload to respective server.
Vehicle flowrate data on server can be used for traffic department and grasp in real time road traffic condition.
The dynamic base-line data of adjusting can well be avoided geomagnetic excursion phenomenon, and in an embodiment, the base-line data basis dimensionally judged result of magnetic signal is upgraded specifically therein:
If dimensionally magnetic signal is for there being car signal, base-line data is according to formula Bs i ( k ) = Bs i ( k - 1 ) × ( 1 - ∂ i ) + f i ( k ) × ( ∂ i ) Upgrade, next difference is calculated the base-line data adopting after upgrading; Otherwise,
Base-line data remains unchanged, and next difference is calculated the base-line data that still adopts last time;
Wherein, Bs (k) is self-adaptation baseline value, for weighting coefficient, f (k) is the magnetic signal after after filtering, the number of times that k is collection signal, and one of i is D coordinates value.
Therein in an embodiment, if continuous three times dimensionally magnetic signal be car signal, be designated as car state, can avoid preferably like this situation of undetected or many inspections; Certainly,, using double dimensionally magnetic signal as basis for estimation, be also fine.
In order to improve accuracy of detection, need to carry out filtering to the original signal collecting:
Particularly, in an embodiment, filtering adopts mean filter as default filter patterns therein, if car signal detected, next filtering adopts medium filtering, if car signal do not detected, next filtering adopts mean filter.
Mean filter is by default sample window, original dimensionally magnetic signal to be sampled, and using the arithmetic mean value of sampled value as filtered dimensionally magnetic signal, can eliminate burr signal;
Medium filtering is by default sample window, original dimensionally magnetic signal to be sampled, and using the intermediate value of sampled value as filtered dimensionally magnetic signal, can eliminate jump signal.
As shown in Figure 3, in an embodiment, also relate to a kind of vehicle detecting system 100 therein, comprising:
Acquisition module 110 for the original dimensionally magnetic signal on Real-time Collection target ground, and obtains base-line data from described original dimensionally magnetic signal;
Filter 120, for the dimensionally magnetic signal collecting is carried out to filtering, and therefrom obtains dimensionally magnetic signal data;
Pick-up unit 130, for described dimensionally magnetic signal data and base-line data are done to difference calculating, if having at least two to be greater than predetermined threshold value in three differences, has been judged as car signal by described dimensionally magnetic signal; And
When continuous several times dimensionally magnetic signal be car signal, be designated as car state;
Update module 140, for upgrading described base-line data according to the judged result of described dimensionally magnetic signal.
Wherein, acquisition module 110 adopts three axle anisotropic magnetoresistive sensor.
Be understandable that, in order to reach the real-time monitoring of traffic route vehicle flowrate, as shown in Figure 3, in an embodiment, also comprise therein:
Counting assembly 150, for have car state when having car state at every turn next time, has been designated as a car by target ground, and cumulative vehicle fleet size;
Vehicle flowrate calculation element 160, according to cumulative vehicle fleet size, calculates the vehicle flowrate on target ground;
Upper transmission module 170, for by described vehicle flowrate data upload to respective server.
Vehicle flowrate data on server can be used for traffic department and grasp in real time road traffic condition.
Vehicle detecting system 100 taking the terminal device node of wireless sensor network WSN as platform, completes the processing of data and the transmission of information on terminal device node, finally sends information to respective server by terminal device node.
Can imagine, by the multiple nodes on each road and section, can know the real-time congestion of whole transportation network, therefore, above-mentioned vehicle detecting system 100 bond networkings also can be provided convenience for self driving user choice for traveling route.
Particularly, as shown in Figure 4, in an embodiment, also relate to a kind of vehicle path planning system therein, comprising:
Vehicle detecting system 100, for calculating vehicle flowrate and uploading vehicle flowrate data to respective server;
Cloud Server 200, the vehicle flowrate data of uploading for receiving vehicle detecting system, and according to user's request, calculate corresponding Route Planning Data by vehicle flowrate data, be issued to relative users terminal;
User terminal 300, for send path planning request to Cloud Server, and the Route Planning Data issuing according to Cloud Server carries out path planning.
Wherein user terminal 300 can be intelligent vehicle mounted terminal, can be also the mobile terminal of cell phone type.
Can obtain in real time the comparatively accurate road data of each road and section by vehicle detecting system 100, and by the integration of Cloud Server 200 to road data, obtain the needed real-time route layout data of user terminal 300, and upgrade in real time.
The above embodiment has only expressed several embodiment of the present invention, and it describes comparatively concrete and detailed, but can not therefore be interpreted as the restriction to the scope of the claims of the present invention.It should be pointed out that for the person of ordinary skill of the art, without departing from the inventive concept of the premise, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection domain of patent of the present invention should be as the criterion with claims.

Claims (9)

1. a vehicle checking method, is characterized in that, comprises the following steps:
The original dimensionally magnetic signal on Real-time Collection target ground obtains corresponding three-dimensional base-line data from described original dimensionally magnetic signal;
The dimensionally magnetic signal collecting is carried out to filtering, and therefrom obtain level and smooth dimensionally magnetic signal data;
Described dimensionally magnetic signal data and base-line data are done to difference calculating, if having at least two to be greater than predetermined threshold value in three differences, described dimensionally magnetic signal has been judged as to car signal, and
According to the judged result of described dimensionally magnetic signal, described base-line data is upgraded;
When continuous several times dimensionally magnetic signal be car signal, be designated as car state; When continuous several times is when dimensionally magnetic signal is without car signal, by there being car state to jump to detected state, so circulation;
Wherein, if dimensionally magnetic signal is for there being car signal, base-line data is according to formula
Bs i ( k ) = Bs i ( k - 1 ) × ( 1 - ∂ i ) + f i ( k ) × ( ∂ i ) Upgrade; Otherwise base-line data remains unchanged;
Wherein, Bs (k) is self-adaptation baseline value, for weighting coefficient, f (k) is the magnetic signal after after filtering, the number of times that k is collection signal, and one of i is D coordinates value.
2. vehicle checking method according to claim 1, is characterized in that, also comprises:
There is car state when having car state at every turn next time, be designated as a car and passed through, and cumulative vehicle fleet size;
According to cumulative vehicle fleet size, calculate vehicle flowrate;
By vehicle flowrate data upload to respective server.
3. a kind of vehicle checking method according to claim 1 and 2, is characterized in that, if continuous three times dimensionally magnetic signal be car signal, be designated as car state.
4. a kind of vehicle checking method according to claim 3, is characterized in that, described filtering adopts mean filter as default filter patterns, if car signal detected, next filtering adopts medium filtering, if car signal do not detected, next filtering adopts mean filter.
5. a kind of vehicle checking method according to claim 4, is characterized in that, described mean filter comprises by default sample window samples to original dimensionally magnetic signal, using the arithmetic mean value of sampled value as filtered dimensionally magnetic signal.
6. a kind of vehicle checking method according to claim 4, is characterized in that, described medium filtering comprises by default sample window samples to original dimensionally magnetic signal, using the intermediate value of sampled value as filtered dimensionally magnetic signal.
7. a vehicle detecting system, is characterized in that, comprising:
Acquisition module for the original dimensionally magnetic signal on Real-time Collection target ground, and obtains base-line data from described original dimensionally magnetic signal;
Filter, for the dimensionally magnetic signal collecting is carried out to filtering, and therefrom obtains dimensionally magnetic signal data;
Pick-up unit, for described dimensionally magnetic signal data and base-line data are done to difference calculating, if having at least two to be greater than predetermined threshold value in three differences, has been judged as car signal by described dimensionally magnetic signal; And
When continuous several times dimensionally magnetic signal be car signal, be designated as car state; When continuous several times is when dimensionally magnetic signal is without car signal, by there being car state to jump to detected state, so circulation;
Wherein, if dimensionally magnetic signal is for there being car signal, base-line data is according to formula
Bs i ( k ) = Bs i ( k - 1 ) × ( 1 - ∂ i ) + f i ( k ) × ( ∂ i ) Upgrade; Otherwise base-line data remains unchanged;
Wherein, Bs (k) is self-adaptation baseline value, for weighting coefficient, f (k) is the magnetic signal after after filtering, the number of times that k is collection signal, and one of i is D coordinates value;
Update module, for upgrading described base-line data according to the judged result of described dimensionally magnetic signal.
8. vehicle detecting system according to claim 7, is characterized in that, also comprises
Counting assembly, for have car state when having car state at every turn next time, has been designated as a car by target ground, and cumulative vehicle fleet size;
Vehicle flowrate calculation element, according to cumulative vehicle fleet size, calculates the vehicle flowrate on target ground;
Upper transmission module, for by described vehicle flowrate data upload to respective server.
9. a vehicle path planning system, is characterized in that, comprising:
Vehicle detecting system claimed in claim 8, for calculating vehicle flowrate and uploading vehicle flowrate data to Cloud Server;
Cloud Server, the vehicle flowrate data of uploading for receiving vehicle detecting system, and according to user's request, calculate corresponding Route Planning Data by vehicle flowrate data, be issued to relative users terminal;
User terminal, for send path planning request to Cloud Server, and the Route Planning Data issuing according to Cloud Server carries out path planning.
CN201210164144.1A 2012-05-24 2012-05-24 Vehicle detecting method, vehicle detecting system and vehicle path planning system Active CN102881171B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201210164144.1A CN102881171B (en) 2012-05-24 2012-05-24 Vehicle detecting method, vehicle detecting system and vehicle path planning system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201210164144.1A CN102881171B (en) 2012-05-24 2012-05-24 Vehicle detecting method, vehicle detecting system and vehicle path planning system

Publications (2)

Publication Number Publication Date
CN102881171A CN102881171A (en) 2013-01-16
CN102881171B true CN102881171B (en) 2014-10-29

Family

ID=47482477

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201210164144.1A Active CN102881171B (en) 2012-05-24 2012-05-24 Vehicle detecting method, vehicle detecting system and vehicle path planning system

Country Status (1)

Country Link
CN (1) CN102881171B (en)

Families Citing this family (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9174672B2 (en) * 2013-10-28 2015-11-03 GM Global Technology Operations LLC Path planning for evasive steering maneuver in presence of target vehicle and surrounding objects
CN103593984A (en) * 2013-11-29 2014-02-19 浙江工业大学 Environmentally adaptive traffic flow detection method based on terrestrial magnetism
CN103794058B (en) * 2014-03-05 2016-04-13 武汉慧联无限科技有限公司 Based on vehicle checking method and the device of state machine
CN104036555B (en) * 2014-06-16 2016-09-21 无锡普智联科高新技术有限公司 Parking charging method based on earth magnetism platform bistable definite value
CN104835326A (en) * 2015-04-24 2015-08-12 周欣 Vehicle detector based on anisotropy magnetic resistance sensor array
CN105096611B (en) * 2015-08-17 2017-07-14 中科车港(深圳)实业股份有限公司 A kind of road vehicle detection system and method
CN107065886A (en) * 2017-05-25 2017-08-18 郑州坤博科技有限公司 Automobile Unmanned Systems based on cloud
CN107945570B (en) * 2017-12-18 2020-05-26 浙江工业大学 Geomagnetic parking space detection optimization method
CN110288831B (en) * 2019-07-08 2020-12-25 北京鑫贝诚科技有限公司 Neural network self-learning based geomagnetic detector detection algorithm
CN111311927A (en) * 2020-01-17 2020-06-19 深圳市戴升智能科技有限公司 Traffic flow detection method and device, computer equipment and storage medium
CN111580186A (en) * 2020-05-07 2020-08-25 迈锐数据(无锡)有限公司 Adaptive adjustment method and system for threshold of geomagnetic sensor and terminal
CN111696367B (en) * 2020-06-11 2022-06-07 西安电子科技大学 Multi-geomagnetic-sensor speed measurement system and speed measurement method thereof
CN112419743B (en) * 2020-08-27 2022-08-05 宁波大榭招商国际码头有限公司 Detection correction method based on continuous geomagnetic sensor
CN113066293B (en) * 2021-03-15 2022-10-11 四川长虹网络科技有限责任公司 Detection optimization method of geomagnetic vehicle detector and geomagnetic vehicle detector
CN113153276B (en) * 2021-05-20 2023-11-21 烟台杰瑞石油装备技术有限公司 Ferromagnetic object detection device and method for detecting tubing coupling

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2003308592A (en) * 2002-04-18 2003-10-31 Hitachi Cable Ltd Vehicle detecting device
CN1700219A (en) * 2004-05-21 2005-11-23 深圳市海之力科技实业有限公司 Method for providing road traffic conditions
ES2264337A1 (en) * 2004-08-17 2006-12-16 Ecotrafic, S.L. Vehicle detection system for traffic control, has modules with magnetic detectors placed under road pavement to detect passing vehicles using ground magnetic field, and transmit detection data to control unit using radio signals
CN101908278A (en) * 2010-08-09 2010-12-08 北京交通发展研究中心 Wireless magnetic induction intensity vehicle detection method and device
CN102226931A (en) * 2011-05-27 2011-10-26 迈锐数据(北京)有限公司 Vehicle detection device

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2003308592A (en) * 2002-04-18 2003-10-31 Hitachi Cable Ltd Vehicle detecting device
CN1700219A (en) * 2004-05-21 2005-11-23 深圳市海之力科技实业有限公司 Method for providing road traffic conditions
ES2264337A1 (en) * 2004-08-17 2006-12-16 Ecotrafic, S.L. Vehicle detection system for traffic control, has modules with magnetic detectors placed under road pavement to detect passing vehicles using ground magnetic field, and transmit detection data to control unit using radio signals
CN101908278A (en) * 2010-08-09 2010-12-08 北京交通发展研究中心 Wireless magnetic induction intensity vehicle detection method and device
CN102226931A (en) * 2011-05-27 2011-10-26 迈锐数据(北京)有限公司 Vehicle detection device

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
一种基于K-Means分类的状态机车辆检测算法;曹喆等;《工业控制计算机》;20100125;第23卷(第1期);正文第58页第1列 *
各向异性磁阻传感器在车辆检测中的应用;李希胜,于广华;《北京科技大学学报》;20060630;第28卷(第6期);第587-590页 *
基于主动磁检测技术的车辆检测新方法;黄杏,白彦锋;《国外电子测量技术》;20111115;第30卷(第11期);第79-81页 *

Also Published As

Publication number Publication date
CN102881171A (en) 2013-01-16

Similar Documents

Publication Publication Date Title
CN102881171B (en) Vehicle detecting method, vehicle detecting system and vehicle path planning system
CN104299415B (en) Based on distributed traffic condition detecting system and the method thereof of Bluetooth technology
CN107784835B (en) Traffic state mode prediction system based on traffic data analysis and prediction method thereof
CN102708680B (en) Commute travel mode identification method based on AGPS technology
CN104884899B (en) Determine the method across the track of one or more intersections of transportation network
CN101739824B (en) Data fusion technology-based traffic condition estimation method
CN109544932A (en) A kind of city road network flow estimation method based on GPS data from taxi Yu bayonet data fusion
CN106097755A (en) For identifying the method parked place and/or vacate place
CN107103775B (en) Road quality detection method based on crowd-sourcing calculation
US10475336B2 (en) System for forecasting traffic condition pattern by analysis of traffic data and forecasting method thereof
CN102722987B (en) Roadside parking space detection method
CN107085944B (en) Traffic data processing system and method
US8788185B2 (en) Method and system for estimating traffic information by using integration of location update events and call events
CN207883011U (en) Bus passenger flow data acquisition equipment and OD analysis systems
CN103942965B (en) geomagnetic vehicle detector
CN102722997A (en) Parking space detection method and system thereof
CN107945352A (en) Bus passenger flow data acquisition equipment and OD analysis systems
CN202404768U (en) Roadside parking space detecting system
KR100969324B1 (en) System for collecting traffic information using multi-function sensor module
CN104933871B (en) Method and system for detecting traffic vehicles
CN102930741A (en) High-precision stall detection system and method
CN109143290A (en) Method and apparatus for position error detection
CN104900067A (en) Intelligent wireless vehicle detection system based on geomagnetic sensor
KR101123967B1 (en) Traffic congestion prediction system, prediction method and recording medium thereof
US8340889B2 (en) System and method for aggregating probe vehicle data

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
EE01 Entry into force of recordation of patent licensing contract
EE01 Entry into force of recordation of patent licensing contract

Application publication date: 20130116

Assignee: DONGGUAN SHUANGLU ELECTRONIC TECHNOLOGY CO.,LTD.

Assignor: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY CHINESE ACADEMY OF SCIENCES

Contract record no.: X2023980039221

Denomination of invention: Vehicle detection methods, vehicle detection systems, and vehicle path planning systems

Granted publication date: 20141029

License type: Common License

Record date: 20230809

EE01 Entry into force of recordation of patent licensing contract
EE01 Entry into force of recordation of patent licensing contract

Application publication date: 20130116

Assignee: Shenzhen Zhangchao Technology Co.,Ltd.

Assignor: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY CHINESE ACADEMY OF SCIENCES

Contract record no.: X2023980043397

Denomination of invention: Vehicle detection methods, vehicle detection systems, and vehicle path planning systems

Granted publication date: 20141029

License type: Common License

Record date: 20231013