CN106600963A - Travel path management system based on travel vehicle data mining - Google Patents
Travel path management system based on travel vehicle data mining Download PDFInfo
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- CN106600963A CN106600963A CN201611235216.1A CN201611235216A CN106600963A CN 106600963 A CN106600963 A CN 106600963A CN 201611235216 A CN201611235216 A CN 201611235216A CN 106600963 A CN106600963 A CN 106600963A
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- 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
- G08G1/0125—Traffic data processing
Abstract
The invention relates to the traffic information management technology field and more particularly, to a travel path management system based on travel vehicle data mining and the system is characterized by the arrangement of a cloud server, a management and control platform, a vehicle monitoring terminal, and a management terminal wherein the management and control platform and the management terminal are connected with the cloud server through an internet respectively and the vehicle monitoring terminal is connected with the management and control platform through a mobile communication circuit. The management terminal is provided with a serial-port communication circuit and a radio frequency label reading mechanism. The vehicle monitoring terminal is provided with the radio frequency label. The management and control platform comprises a data receiving module, a data processing module, and a data outputting module wherein the output end of the user data comparing module is connected with a correction module. According to the invention, users' driving data are mined and processed to obtain a travel route corrected default value. Based on the processing and analyzing of large amounts of user data, the travel path for the users is corrected to be the most accurate possible. With a simple structure, the system provides reliable performances.
Description
Technical field：
The present invention relates to traffic information management technical field, specifically one kind can effectively improve traffic safety, subtract
The path management system excavated based on travelling data of few congestion in road.
Background technology：
Data communication system is one of important component part of urban traffic control system, and it is by data acquisition, transmission
And management technique, enable Surveillance center to obtain the operation shape of the traffic flow and traffic signaling equipment at each crossing of road network exactly
State, so as to the control effect to ensure road network creates conditions.Therefore, how quickly, accurately and real-time by each crossing
Traffic flow data and traffic signaling equipment running status are uploaded to Surveillance center and by control instruction is passed under Surveillance center to signal
Machine is just into the important step of whole control system Effec-tive Function.The existing urban traffic control system network of China is main at present
Row data communication is entered using wired modes such as phone or private cables, intelligent transportation system ITS and various intelligence can not have been met
The real-time of vehicle mobile terminals data communication and mobility are required.
As global positioning system can provide satellite navigation function and routing information, therefore built-in global positioning system is led
Boat device is widely used on vehicle, to obtain the routing informations such as location data or distance data, and carries out satellite to vehicle
Navigation.Because guider is in satellite navigation, typically calculated with the landform of few change according to the intensity of satellite positioning signal
Go out accurate routing information, navigated with producing correct guidance path.But for diverse planning driving path or ground
Shape is then difficult to maintain accurate routing information, so that deviation or mistake easily occur in guidance path or display icon.In this regard, how
In diverse planning driving path or landform, there is provided accurate routing information, to avoid affecting the judgment and safety of driver
Property, it has also become the problem that pole need to solve.
The content of the invention：
The present invention is for shortcoming and defect present in prior art, it is proposed that one kind can effectively improve traffic safety,
Reduce the path management system excavated based on travelling data of congestion in road.
The present invention can be reached by following measures：
A kind of path management system excavated based on travelling data, it is characterised in that be provided with Cloud Server, control platform, car
Monitor terminal, management terminal, wherein control platform, management terminal are connected with Cloud Server Jing the Internets respectively, vehicle prison
Control terminal Jing Mobile Communication Circuits are connected with control platform, and management terminal is provided with serial communication circuit and radio-frequency (RF) tag reads
Mechanism, vehicle monitoring terminal are loaded with radio-frequency (RF) tag, and the control platform includes data reception module, data processing module, data
Output module, wherein data processing module include condition of road surface identification module, course corrections module, and course corrections module includes using
User data comparison module, correcting module, the outfan of wherein user data comparison module are connected with correcting module, user data
Comparison module is used for user's running data of the user's travel data and the second time point for comparing first time point, user's traveling number
According to for steering wheel rotational angle or distance or speed or acceleration or rotating speed or torsion, correcting module is for user data is compared
The difference value of module output is compared with default value, and exports correction result beyond default value in difference value.
The data processing module of control platform of the present invention is additionally provided with default value setting module, the default value setting module bag
Include for be input into sample data be associated process statistical module, for produce it is multiple disturbance copies replication modules,
For based on perturbation features and by using predetermined criteria for classification to it is multiple disturbance copies classified grader, for base
The analyzer of analysis result is obtained in classifier result.
Condition of road surface identification module of the present invention includes that the automatic division module of road subsection, road traffic parameter are connect in real time
Receive module, road traffic state real-time identification module and identification result output module；Road in road condition discrimination module
The outfan of the automatic division module of subsegment and road traffic parameter real-time reception module with road traffic state real-time identification mould
The input of block is connected, and the outfan of road traffic state real-time identification module is connected with identification result output module.
The automatic division module of road subsection of the present invention for a road is divided into two subsegments U1 and U2 automatically, its length
Degree is expressed as dU1 and dU2, dU1 and the division of dU2 depends on that parameter includes entire road lengthFront signal light split t,
Road design saturation factor s,It is the control parameter related to road overall length to represent that road limits speed, a, and b is to limit speed with road
The related control parameter of degree, specifically divides according to equation below：
Road traffic state real-time identification module of the present invention completes traffic behavior real-time identification by following steps：It is right
Each road subsection sets up evaluation object single factor test collection Ui；Evaluation collection F is set up for each road subsectioni；Set up from single factor test collection
UiTo evaluation collection FiThe mapping of fuzzy relation, single factor test evaluation matrix R is derived by Cartesian product corresponding relationi；The first order
Fuzzy Synthetic Evaluation, selects segmentation Gaussian Blur mathematical synthesis function to carry out comprehensive and made normalized；Two grades obscure
Comprehensive Assessment；Fuzzy analysis judgement is carried out to two grades of result of determination, the result that urban road state is distinguished is drawn.
The present invention is processed by the excavation to user's running data, obtains the default value of driving path amendment, by big
The Treatment Analysis of amount user data, make user's path modification result be substantially equal to accurately, with rational in infrastructure, reliable operation etc.
Significant advantage.
Description of the drawings：
Fig. 1 is the structured flowchart of the present invention.
Fig. 2 is the structured flowchart of control platform in the present invention.
Reference：Cloud Server 1, control platform 2, vehicle monitoring terminal 3,4 data reception module 5 of management terminal, number
According to processing module 6, data outputting module 7, condition of road surface identification module 8, course corrections module 9, default value setting module 10.
Specific embodiment：
The present invention is further illustrated below in conjunction with the accompanying drawings.
As shown in drawings, the present invention proposes a kind of path management system excavated based on travelling data, it is characterised in that
It is provided with Cloud Server 1, control platform 2, vehicle monitoring terminal 3, management terminal 4, wherein control platform 2, the difference Jing of management terminal 4
The Internet is connected with Cloud Server 1, and 3 Jing Mobile Communication Circuits of vehicle monitoring terminal are connected with control platform 2, management terminal
4 are provided with serial communication circuit and radio-frequency (RF) tag reading mechanism, and vehicle monitoring terminal is loaded with radio-frequency (RF) tag, the control platform 2
Including data reception module 5, data processing module 6, data outputting module 7, wherein data processing module 6 includes that condition of road surface is distinguished
Know module 8, course corrections module 9, course corrections module 9 includes user data comparison module, correcting module, wherein user data
The outfan of comparison module is connected with correcting module, and user data comparison module is used to compare the user of first time point and exercises
User's running data of data and the second time point, user's running data are steering wheel rotational angle or distance or speed or acceleration
Degree or rotating speed or torsion, correcting module for the difference value that user data comparison module is exported is compared with default value, and
Correction result is exported beyond default value in difference value.
The data processing module of control platform of the present invention is additionally provided with default value setting module 10, the default value setting module
Including for the statistical module of process is associated to the sample data of input, for producing multiple backed stampers for disturbing copies
Block, for based on perturbation features and by using predetermined criteria for classification to it is multiple disturbance copies classified grader, use
In the analyzer that analysis result is obtained based on classifier result.
Condition of road surface identification module of the present invention includes that the automatic division module of road subsection, road traffic parameter are connect in real time
Receive module, road traffic state real-time identification module and identification result output module；Road in road condition discrimination module
The outfan of the automatic division module of subsegment and road traffic parameter real-time reception module with road traffic state real-time identification mould
The input of block is connected, and the outfan of road traffic state real-time identification module is connected with identification result output module.
The automatic division module of road subsection of the present invention for a road is divided into two subsegments U1 and U2 automatically, its length
Degree is expressed as dU1 and dU2, dU1 and the division of dU2 depends on that parameter includes entire road lengthFront signal light split t,
Road design saturation factor s,It is the control parameter related to road overall length to represent that road limits speed, a, and b is to limit speed with road
The related control parameter of degree, specifically divides according to equation below：
Road traffic state real-time identification module of the present invention completes traffic behavior real-time identification by following steps：It is right
Each road subsection sets up evaluation object single factor test collection Ui；Evaluation collection F is set up for each road subsectioni；Set up from single factor test collection
UiTo evaluation collection FiThe mapping of fuzzy relation, single factor test evaluation matrix R is derived by Cartesian product corresponding relationi；The first order
Fuzzy Synthetic Evaluation, selects segmentation Gaussian Blur mathematical synthesis function to carry out comprehensive and made normalized；Two grades obscure
Comprehensive Assessment；Fuzzy analysis judgement is carried out to two grades of result of determination, the result that urban road state is distinguished is drawn.
The present invention is processed by the excavation to user's running data, obtains the default value of driving path amendment, by big
The Treatment Analysis of amount user data, make user's path modification result be substantially equal to accurately, with rational in infrastructure, reliable operation etc.
Significant advantage.
Claims (5)
1. it is a kind of based on travelling data excavate path management system, it is characterised in that be provided with Cloud Server, control platform, vehicle
Monitor terminal, management terminal, wherein control platform, management terminal are connected with Cloud Server Jing the Internets respectively, vehicle monitoring
Terminal Jing Mobile Communication Circuit is connected with control platform, and management terminal is provided with serial communication circuit and radio-frequency (RF) tag reading machine
Structure, vehicle monitoring terminal are loaded with radio-frequency (RF) tag, and the control platform includes that data reception module, data processing module, data are defeated
Go out module, wherein data processing module includes condition of road surface identification module, course corrections module, and course corrections module includes user
Data comparison module, correcting module, the outfan of wherein user data comparison module are connected with correcting module, user data ratio
Compared with module be used for compare first time point user's travel data and the second time point user's running data, user's running data
For steering wheel rotational angle or distance or speed or acceleration or rotating speed or torsion, correcting module is for comparing mould by user data
The difference value of block output is compared with default value, and exports correction result beyond default value in difference value.
2. it is according to claim 1 it is a kind of based on travelling data excavate path management system, it is characterised in that management and control put down
The data processing module of platform is additionally provided with default value setting module, and the default value setting module is included for the sample number to being input into
According to being associated the statistical module of process, the replication modules for producing multiple disturbance copies, for based on perturbation features leading to
Cross using predetermined criteria for classification to it is multiple disturbance copies classified grader, for being analyzed based on classifier result
As a result analyzer.
3. it is according to claim 1 it is a kind of based on travelling data excavate path management system, it is characterised in that the road
Road situation identification module includes the automatic division module of road subsection, road traffic parameter real-time reception module, road traffic state
Real-time identification module and identification result output module；The automatic division module of road subsection and road in road condition discrimination module
The outfan of road traffic parameter real-time reception module is connected with the input of road traffic state real-time identification module, road
The outfan of traffic behavior real-time identification module is connected with identification result output module.
4. it is according to claim 3 it is a kind of based on travelling data excavate path management system, it is characterised in that road way
For a road is divided into two subsegments U1 and U2 automatically, its length is expressed as dU1 and dU2, dU1 to Duan Zidong division modules
Division with dU2 depends on that parameter includes entire road lengthFront signal light split t, road design saturation factor s,Represent
It is the control parameter related to road overall length that road limits speed, a, and b is to limit the control parameter of velocity correlation with road, specifically
Divide according to equation below：
5. it is according to claim 3 it is a kind of based on travelling data excavate path management system, it is characterised in that the road
Road traffic behavior real-time identification module completes traffic behavior real-time identification by following steps：Evaluation is set up to each road subsection
Object single factor test collection Ui；Evaluation collection F is set up for each road subsectioni；Set up from single factor test collection UiTo evaluation collection FiA mould
Paste relationship map, derives single factor test evaluation matrix R by Cartesian product corresponding relationi；First order Fuzzy Synthetic Evaluation, selects to divide
Section Gaussian Blur mathematical synthesis function is carried out comprehensive and is made normalized；Two-stage Fuzzy Comprehensive Evaluation；Two grades are judged
As a result fuzzy analysis judgement is carried out, the result that urban road state is distinguished is drawn.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611235216.1A CN106600963A (en) | 2016-12-28 | 2016-12-28 | Travel path management system based on travel vehicle data mining |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611235216.1A CN106600963A (en) | 2016-12-28 | 2016-12-28 | Travel path management system based on travel vehicle data mining |
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| Publication Number | Publication Date |
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| CN106600963A true CN106600963A (en) | 2017-04-26 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201611235216.1A Pending CN106600963A (en) | 2016-12-28 | 2016-12-28 | Travel path management system based on travel vehicle data mining |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1786234A2 (en) * | 2005-11-11 | 2007-05-16 | Fujitsu Ltd. | Wireless network control method and device as well as mobile communication system |
| CN101482418A (en) * | 2008-01-10 | 2009-07-15 | 佛山市顺德区顺达电脑厂有限公司 | Navigation apparatus and method for correcting route according to travelling information |
| CN102708688A (en) * | 2012-06-08 | 2012-10-03 | 四川川大智胜软件股份有限公司 | Secondary fuzzy comprehensive discrimination-based urban road condition recognition method |
| CN103383811A (en) * | 2013-05-17 | 2013-11-06 | 南京邮电大学 | Intelligent traffic solution scheme based on GID |
| CN104539704A (en) * | 2014-12-29 | 2015-04-22 | 芜湖乐锐思信息咨询有限公司 | Online development cooperation system for industrial products |
-
2016
- 2016-12-28 CN CN201611235216.1A patent/CN106600963A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1786234A2 (en) * | 2005-11-11 | 2007-05-16 | Fujitsu Ltd. | Wireless network control method and device as well as mobile communication system |
| CN101482418A (en) * | 2008-01-10 | 2009-07-15 | 佛山市顺德区顺达电脑厂有限公司 | Navigation apparatus and method for correcting route according to travelling information |
| CN102708688A (en) * | 2012-06-08 | 2012-10-03 | 四川川大智胜软件股份有限公司 | Secondary fuzzy comprehensive discrimination-based urban road condition recognition method |
| CN103383811A (en) * | 2013-05-17 | 2013-11-06 | 南京邮电大学 | Intelligent traffic solution scheme based on GID |
| CN104539704A (en) * | 2014-12-29 | 2015-04-22 | 芜湖乐锐思信息咨询有限公司 | Online development cooperation system for industrial products |
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Application publication date: 20170426 |