CN108801281A - Based on the big data analysis method that the road is clear - Google Patents

Based on the big data analysis method that the road is clear Download PDF

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Publication number
CN108801281A
CN108801281A CN201810495235.0A CN201810495235A CN108801281A CN 108801281 A CN108801281 A CN 108801281A CN 201810495235 A CN201810495235 A CN 201810495235A CN 108801281 A CN108801281 A CN 108801281A
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CN
China
Prior art keywords
road
information
acquisition
clear
data analysis
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Withdrawn
Application number
CN201810495235.0A
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Chinese (zh)
Inventor
史东生
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Zhengzhou Guangzhiyuan Electronics Technology Co Ltd
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Zhengzhou Guangzhiyuan Electronics Technology Co Ltd
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Priority to CN201810495235.0A priority Critical patent/CN108801281A/en
Publication of CN108801281A publication Critical patent/CN108801281A/en
Withdrawn legal-status Critical Current

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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/26Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
    • G01C21/34Route searching; Route guidance
    • G01C21/3453Special cost functions, i.e. other than distance or default speed limit of road segments
    • G01C21/3492Special cost functions, i.e. other than distance or default speed limit of road segments employing speed data or traffic data, e.g. real-time or historical

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  • Engineering & Computer Science (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Automation & Control Theory (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Traffic Control Systems (AREA)

Abstract

The present invention relates to based on the big data analysis method that the road is clear, the described method comprises the following steps:Step 1):Acquisition target phase using road A as flow information;Step 2):Acquisition obtains the near term traffic flows information of mono- periods of road A;Step 3):The near term traffic flows information is uploaded;Step 4):By the near term traffic flows information with the road A compared with the historical traffic information of period;Step 5):If the near term traffic flows information of road A steep drop occurs in the same period, the road A is updated to abnormal condition;The present invention have the advantages that it is reasonable for structure, convenient for trip, it is applied widely.

Description

Based on the big data analysis method that the road is clear
Technical field
The invention belongs to road monitoring technical fields, more particularly to based on the big data analysis method that the road is clear.
Background technology
With the development of the social economy, road infrastructure construction is more and more complete, people's living standard is gradually increased, vapour The ownership of vehicle is also increasing, and people are using navigation trip, often due to navigation information fails to timely update, It will appear that the road in guidance path is blocked due to construction, Accidents, traffic control etc. or the case where current limliting, this is for vehicle Trip is very unhappy and troublesome thing, when encountering such situation, can not only stop to detour, be planned again to navigate Path, it is not only time-consuming and laborious, it can also greatly increase Trip Costs;Therefore it provides one kind is reasonable for structure, is convenient for trip, is applicable in Range is wide to be necessary based on the big data analysis method that the road is clear.
Invention content
The purpose of the invention is to overcome the deficiencies in the prior art, and offer one kind is reasonable for structure, is convenient for trip, is applicable in Range it is wide based on the big data analysis method that the road is clear.
The object of the present invention is achieved like this:Based on the big data analysis method that the road is clear, the method includes with Lower step:
Step 1):Acquisition target phase using road A as flow information;
Step 2):Acquisition obtains the near term traffic flows information of mono- periods of road A;
Step 3):The near term traffic flows information is uploaded;
Step 4):By the near term traffic flows information with the road A compared with the historical traffic information of period;
Step 5):If there is steep drop in the same period in the near term traffic flows information of road A, by the road A be updated to it is non-just Normal state.
The road A is any section of any road or any road.
The specific steps of described [acquisition obtains the near term traffic flows information of mono- periods of road A] include:Acquisition obtains One time block enters the information of vehicles of road A, calculates the flow information for obtaining the road A periods.
The specific steps of described [acquisition obtains the information of vehicles for entering road A in a time block] include:
Acquisition obtains the movement locus that one time block of mobile terminal enters road A, and the mobile terminal includes mobile phone, tablet electricity Brain;
The movement locus of road A is fallen into one period of acquisition acquisition vehicle GPS;
Acquisition obtains the information of vehicles of a period of the tachymeter being arranged on road A, RFID identification device record.
Described [if the near term traffic flows information of road A steep drop occurs in the same period, the road A is updated to Abnormal condition] the specific steps are:If there is steep drop, the steep drop in the same period in the near term traffic flows information of road A Criterion be road A near term traffic flows information be less than historical traffic information 20%, if the road of same trend adjacent road A The near term traffic flows information on road increases, then road A is updated to abnormal condition, and the abnormal condition is current limliting or block.
The method is used with lower module:Acquire acquisition module, communication module, processing module, update module, feedback hair Send module.
The acquisition acquisition module includes mobile terminal, RFID identification device, tachymeter, vehicle GPS, the communication mould Block includes base station, satellite, gateway, and the mobile terminal is connected to gateway by base station, and the vehicle GPS is connected by satellite It is connected to gateway, the RFID identification device and tachymeter are connected respectively to gateway, and the gateway is connected with server, described Server is connected to processor, and the processor is connected with storage medium.
The processing module includes processor and server, and the update module includes processor, server and deposits Storage media, the feedback sending module include processor, server, gateway, satellite, base station.
The processor is used to receive the information of acquisition acquisition module, and is updated, and updated information is sent To mobile terminal and vehicle GPS;The processor is additionally operable to receive road construction or road closed information, concrete mode are Manual operation is automatically updated according to internet information.
The processor is used to receive the information of acquisition acquisition module, and is updated, and updated information is sent To mobile terminal and vehicle GPS;The processor is additionally operable to receive road construction or road closed information, concrete mode are Manual operation is automatically updated according to internet information.
Beneficial effects of the present invention:The present invention leads to the near term traffic flows information of big data analysis road certain time period, with road Road updates road information compared with period historical traffic information so that road abnormal condition can in time be found simultaneously It is sent to mobile terminal and GPS, convenient for the road conditions that timely update, people is facilitated to bypass road barricade;The present invention have it is reasonable for structure, Convenient for trip, advantage applied widely.
Description of the drawings
Fig. 1 is that the present invention is based on the flow charts of the big data analysis method that the road is clear.
Fig. 2 is that the present invention is based on the structural schematic diagrams one of the used module of the big data analysis method that the road is clear.
Fig. 3 is that the present invention is based on the structural schematic diagrams two of the used module of the big data analysis method that the road is clear.
Fig. 4 is the structural schematic diagram of the acquisition destination end road A the present invention is based on the big data analysis method that the road is clear One.
Fig. 5 is the structural schematic diagram of the acquisition destination end road A the present invention is based on the big data analysis method that the road is clear Two.
Fig. 6 is the structural schematic diagram of the acquisition destination end road A the present invention is based on the big data analysis method that the road is clear Three.
Specific implementation mode
Following further describes the present invention with reference to the drawings.
Embodiment 1
As shown in figures 1 to 6, it based on the big data analysis method that the road is clear, the described method comprises the following steps:
Step 1):Acquisition target phase using road A as flow information;
Step 2):Acquisition obtains the near term traffic flows information of mono- periods of road A;
Step 3):The near term traffic flows information is uploaded;
Step 4):By the near term traffic flows information with the road A compared with the historical traffic information of period;
Step 5):If there is steep drop in the same period in the near term traffic flows information of road A, by the road A be updated to it is non-just Normal state.
As illustrated in figures 4-5, the road A is any section of any road or any road, and the road A can be Any section of the road of south-north direction or east-west road or arc road or oblique road.
The specific steps of described [acquisition obtains the near term traffic flows information of mono- periods of road A] include:Acquisition obtains One time block enters the information of vehicles of road A, calculates the flow information for obtaining the road A periods, a time Duan Weiyi time interval, such as 7:00-10:00 or 12:00-18:00 or at a 24 hours consecutive days.
The specific steps of described [acquisition obtains the information of vehicles for entering road A in a time block] include:
Acquisition obtains the movement locus that one time block of mobile terminal enters road A, and the mobile terminal includes mobile phone, tablet electricity Brain;The mobile terminal is the mobile terminal for being equipped with navigation map, and the mobile terminal is the online shifting of navigation map Dynamic terminal;
The movement locus of road A is fallen into one period of acquisition acquisition vehicle GPS;
Acquisition obtains the information of vehicles of a period of the tachymeter being arranged on road A, RFID identification device record, the vehicle Information is the vehicle fleet size information by road A in a period.
Described [if the near term traffic flows information of road A steep drop occurs in the same period, the road A is updated to Abnormal condition] the specific steps are:If there is steep drop, the steep drop in the same period in the near term traffic flows information of road A Criterion be road A near term traffic flows information be less than historical traffic information 20%, if the road of same trend adjacent road A The near term traffic flows information on road increases, and as Figure 4-Figure 6, if road A near term traffic flows information drops suddenly, while road B and road C are recent Flow information increases, then road A is updated to abnormal condition, and the abnormal condition is current limliting or block.
The method is used with lower module:Acquire acquisition module, communication module, processing module, update module, feedback hair Send module.
The acquisition acquisition module includes mobile terminal, RFID identification device, tachymeter, vehicle GPS, the communication mould Block includes base station, satellite, gateway, and the mobile terminal is connected to gateway by base station, and the vehicle GPS is connected by satellite It is connected to gateway, the RFID identification device and tachymeter are connected respectively to gateway, and the gateway is connected with server, described Server is connected to processor, and the processor is connected with storage medium;It is two-way between the mobile terminal and base station Communication, two-way communication between the base station and gateway, two-way communication between the gateway and server;Described is vehicle-mounted Two-way communication between GPS and satellite, two-way communication between the satellite and gateway.
The processing module includes processor and server, and the update module includes processor, server and deposits Storage media, the feedback sending module include processor, server, gateway, satellite, base station.
The processor is used to receive the information of acquisition acquisition module, and is updated, and updated information is sent To mobile terminal and vehicle GPS;The processor is additionally operable to receive road construction or road closed information, concrete mode are Manual operation is automatically updated according to internet information.
The processor is used to receive the information of acquisition acquisition module, and is updated, and updated information is sent To mobile terminal and vehicle GPS;The processor is additionally operable to receive road construction or road closed information, concrete mode are Manual operation is automatically updated according to internet information.
The present invention is used to acquire the recent stream for obtaining mono- periods of road A using acquisition acquisition module, acquisition acquisition module Information is measured, is uploaded recent flow information by communication module, processor going through with the period with road A by recent flow information History flow information compares, if the near term traffic flows information of road A steep drop occurs in the same period, road A is updated to non- Normal condition, and updated traffic information is sent to mobile terminal and vehicle GPS, it is convenient for the trip of user, the present invention to remove Using mobile terminal, RFID identification device, tachymeter, vehicle GPS data information outside, the road on internet can also be used Block or construction or current limliting information, artificially correct traffic information, optimize trip route in time convenient for people, improve people Go out line efficiency;The present invention have the advantages that it is reasonable for structure, convenient for trip, it is applied widely.
Embodiment 2
As shown in figures 1 to 6, it based on the big data analysis method that the road is clear, the described method comprises the following steps:
Step 1):Acquisition target phase using road A as flow information;
Step 2):Acquisition obtains the near term traffic flows information of mono- periods of road A;
Step 3):The near term traffic flows information is uploaded;
Step 4):By the near term traffic flows information with the road A compared with the historical traffic information of period;
Step 5):If there is steep drop in the same period in the near term traffic flows information of road A, by the road A be updated to it is non-just Normal state.
As illustrated in figures 4-5, the road A is any section of any road or any road, and the road A can be Any section of the road of south-north direction or east-west road or arc road or oblique road.
The specific steps of described [acquisition obtains the near term traffic flows information of mono- periods of road A] include:Acquisition obtains One time block enters the information of vehicles of road A, calculates the flow information for obtaining the road A periods, a time Duan Weiyi time interval, such as 7:00-10:00 or 12:00-18:00 or at a 24 hours consecutive days.
The specific steps of described [acquisition obtains the information of vehicles for entering road A in a time block] include:
Acquisition obtains the movement locus that one time block of mobile terminal enters road A, and the mobile terminal includes mobile phone, tablet electricity Brain;The mobile terminal is the mobile terminal for being equipped with navigation map, and the mobile terminal is the online shifting of navigation map Dynamic terminal;
The movement locus of road A is fallen into one period of acquisition acquisition vehicle GPS;
Acquisition obtains the information of vehicles of a period of the tachymeter being arranged on road A, RFID identification device record, the vehicle Information is the vehicle fleet size information by road A in a period;
On the road for being provided with tachymeter and RFID identification device, the near term traffic flows information of the road A measured with tachymeter and Subject to the information of RFID identification device, on the road for being not provided with tachymeter and RFID identification device, the recent stream of the road A measured Amount information is subject to the information of mobile terminal and vehicle GPS.
Described [if the near term traffic flows information of road A steep drop occurs in the same period, the road A is updated to Abnormal condition] the specific steps are:If there is steep drop, the steep drop in the same period in the near term traffic flows information of road A Criterion be road A near term traffic flows information be less than historical traffic information 20%, if the road of same trend adjacent road A The near term traffic flows information on road increases, and as Figure 4-Figure 6, if road A near term traffic flows information drops suddenly, while road B and road C are recent Flow information increases, then road A is updated to abnormal condition, and the abnormal condition is current limliting or block, is being updated to When abnormal condition, artificial validation testing may be used, it is ensured that the newer accuracy of state.
The method is used with lower module:Acquire acquisition module, communication module, processing module, update module, feedback hair Send module.
The acquisition acquisition module includes mobile terminal, RFID identification device, tachymeter, vehicle GPS, the communication mould Block includes base station, satellite, gateway, and the mobile terminal is connected to gateway by base station, and the vehicle GPS is connected by satellite It is connected to gateway, the RFID identification device and tachymeter are connected respectively to gateway, and the gateway is connected with server, described Server is connected to processor, and the processor is connected with storage medium;It is two-way between the mobile terminal and base station Communication, two-way communication between the base station and gateway, two-way communication between the gateway and server;Described is vehicle-mounted Two-way communication between GPS and satellite, two-way communication between the satellite and gateway.
The processing module includes processor and server, and the update module includes processor, server and deposits Storage media, the feedback sending module include processor, server, gateway, satellite, base station, the feedback sending module Workflow when, after it is abnormal condition to determine road A, processor sends fresh information to server, and server passes through Gateway, gateway are sending fresh information by base station and satellite to mobile terminal and vehicle GPS, it is ensured that using navigation user and When receive road condition updating information, fresh information is sent in the cartographic information of mobile terminal or vehicle GPS.
The processor is used to receive the information of acquisition acquisition module, and is updated, and updated information is sent To mobile terminal and vehicle GPS;The processor is additionally operable to receive road construction or road closed information, concrete mode are Manual operation is automatically updated according to internet information.
The present invention is used to acquire the recent stream for obtaining mono- periods of road A using acquisition acquisition module, acquisition acquisition module Information is measured, is uploaded recent flow information by communication module, processor going through with the period with road A by recent flow information History flow information compares, if the near term traffic flows information of road A steep drop occurs in the same period, road A is updated to non- Normal condition, and updated traffic information is sent to mobile terminal and vehicle GPS, it is convenient for the trip of user, the present invention to remove Using mobile terminal, RFID identification device, tachymeter, vehicle GPS data information outside, the road on internet can also be used Block or construction or current limliting information, artificially correct traffic information, optimize trip route in time convenient for people, improve people Go out line efficiency;The present invention have the advantages that it is reasonable for structure, convenient for trip, it is applied widely.

Claims (10)

1. based on the big data analysis method that the road is clear, which is characterized in that the described method comprises the following steps:
Step 1):Acquisition target phase using road A as flow information;
Step 2):Acquisition obtains the near term traffic flows information of mono- periods of road A;
Step 3):The near term traffic flows information is uploaded;
Step 4):By the near term traffic flows information with the road A compared with the historical traffic information of period;
Step 5):If there is steep drop in the same period in the near term traffic flows information of road A, by the road A be updated to it is non-just Normal state.
2. as described in claim 1 based on the big data analysis method that the road is clear, it is characterised in that:The road A is Any section of any road or any road.
3. as described in claim 1 based on the big data analysis method that the road is clear, it is characterised in that:It is described that [acquisition obtains By way of the near term traffic flows information of mono- periods of road A] specific steps include:Acquisition obtains the vehicle for entering road A in a time block Information calculates the flow information for obtaining the road A periods.
4. as claimed in claim 3 based on the big data analysis method that the road is clear, it is characterised in that:It is described that [acquisition obtains Take the information of vehicles for entering road A in a time block] specific steps include:
Acquisition obtains the movement locus that one time block of mobile terminal enters road A, and the mobile terminal includes mobile phone, tablet electricity Brain;
The movement locus of road A is fallen into one period of acquisition acquisition vehicle GPS;
Acquisition obtains the information of vehicles of a period of the tachymeter being arranged on road A, RFID identification device record.
5. as described in claim 1 based on the big data analysis method that the road is clear, it is characterised in that:It is described [if road A Near term traffic flows information there is steep drop in the same period, then the road A is updated to abnormal condition] specific steps For:If the near term traffic flows information of road A steep drop occurs in the same period, the criterion dropped suddenly is the close of road A Phase flow information is less than the 20% of historical traffic information, if the near term traffic flows information of the road of same trend adjacent road A increases, Road A is then updated to abnormal condition, the abnormal condition is current limliting or block.
6. as described in claim 1 based on the big data analysis method that the road is clear, it is characterised in that:The method uses With lower module:Acquire acquisition module, communication module, processing module, update module, feedback sending module.
7. as claimed in claim 6 based on the big data analysis method that the road is clear, it is characterised in that:The acquisition obtains Module includes mobile terminal, RFID identification device, tachymeter, vehicle GPS, and the communication module includes base station, satellite, gateway, The mobile terminal is connected to gateway by base station, and the vehicle GPS is connected to gateway by satellite, and the RFID knows Other device and tachymeter are connected respectively to gateway, and the gateway is connected with server, and the server is connected to processor, institute The processor stated is connected with storage medium.
8. as claimed in claim 6 based on the big data analysis method that the road is clear, it is characterised in that:The processing module Including processor and server, the update module includes processor, server and storage medium, and the feedback sends mould Block includes processor, server, gateway, satellite, base station.
9. as claimed in claim 7 based on the big data analysis method that the road is clear, it is characterised in that:The processor is used It in the information of reception acquisition acquisition module, and is updated, updated information is sent to mobile terminal and vehicle GPS;Institute The processor stated is additionally operable to receive road construction or road closed information, and concrete mode is manual operation or is believed according to internet Breath is automatically updated.
10. as described in claim 1 based on the big data analysis method that the road is clear, it is characterised in that:The processor Information for receiving acquisition acquisition module, and be updated, updated information is sent to mobile terminal and vehicle GPS; The processor is additionally operable to receive road construction or road closed information, and concrete mode is for manual operation or according to internet Information is automatically updated.
CN201810495235.0A 2018-05-22 2018-05-22 Based on the big data analysis method that the road is clear Withdrawn CN108801281A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109448380A (en) * 2018-12-17 2019-03-08 百度在线网络技术(北京)有限公司 Route denial finds method, apparatus, equipment and computer-readable medium

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Publication number Priority date Publication date Assignee Title
US20070244627A1 (en) * 2006-04-18 2007-10-18 Boss Gregory J Intelligent Redirection of Vehicular Traffic Due to Congestion and Real-Time Performance Metrics
CN104200660A (en) * 2014-08-29 2014-12-10 百度在线网络技术(北京)有限公司 Method and device for updating road condition information
CN106408986A (en) * 2016-11-02 2017-02-15 宁波吉利汽车研究开发有限公司 Driving traffic jam avoiding system and method
CN106530694A (en) * 2016-11-07 2017-03-22 深圳大学 Traffic congestion prediction method and system based on traffic congestion propagation model

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070244627A1 (en) * 2006-04-18 2007-10-18 Boss Gregory J Intelligent Redirection of Vehicular Traffic Due to Congestion and Real-Time Performance Metrics
CN104200660A (en) * 2014-08-29 2014-12-10 百度在线网络技术(北京)有限公司 Method and device for updating road condition information
CN106408986A (en) * 2016-11-02 2017-02-15 宁波吉利汽车研究开发有限公司 Driving traffic jam avoiding system and method
CN106530694A (en) * 2016-11-07 2017-03-22 深圳大学 Traffic congestion prediction method and system based on traffic congestion propagation model

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109448380A (en) * 2018-12-17 2019-03-08 百度在线网络技术(北京)有限公司 Route denial finds method, apparatus, equipment and computer-readable medium

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