CN108766009A - A kind of traffic management method based on big data platform - Google Patents
A kind of traffic management method based on big data platform Download PDFInfo
- Publication number
- CN108766009A CN108766009A CN201810736555.0A CN201810736555A CN108766009A CN 108766009 A CN108766009 A CN 108766009A CN 201810736555 A CN201810736555 A CN 201810736555A CN 108766009 A CN108766009 A CN 108766009A
- Authority
- CN
- China
- Prior art keywords
- traffic
- information
- big data
- data platform
- path
- 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.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0968—Systems involving transmission of navigation instructions to the vehicle
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3453—Special cost functions, i.e. other than distance or default speed limit of road segments
- G01C21/3461—Preferred or disfavoured areas, e.g. dangerous zones, toll or emission zones, intersections, manoeuvre types, segments such as motorways, toll roads, ferries
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3453—Special cost functions, i.e. other than distance or default speed limit of road segments
- G01C21/3492—Special 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
Landscapes
- 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 invention discloses a kind of traffic management methods based on big data platform, including:One or more traffic path is formulated according to starting point input by user and terminal;Obtain the traffic congestion information on traffic path;Obtain the road construction information on traffic path;Obtain the traffic lights information on traffic path;Traffic congestion information, construction information and the traffic lights information on traffic path are shown to user, so, it obtains and shows traffic congestion information, road construction information and traffic lights information on user's traffic path to user, the suitable traffic path of selection for reference, the section of congestion, construction is avoided thereby using family, not only saves the time of user, while can make vehicle is balanced to be distributed on road network, mitigate congested link, increases the vehicle flowrate in smooth section.
Description
Technical field
The present invention relates to traffic management technology field more particularly to a kind of traffic management methods based on big data platform.
Background technology
With the development of modern society, the problem of the improper increase of city vehicle ownership, urban traffic blocking increasingly
Seriously, people increasingly pay attention to urban transportation, public safety and environmental protection, only by having widened the width of city highway
It cannot solve the above problems, if some cities adjust vehicle flow by the way of odd-and-even license plate rule, to the tune of traffic lights
Spend the time to handle traffic congestion, can only be the appropriate adjustment effect of vehicle peak period, can not also be provided for city dweller in time,
Effective urban traffic information.
In existing urban traffic control system, due to randomness and irregularities that traffic participates in, people society lives
Dynamic increases, when people enter a strange city, due to being unfamiliar with traffic environment, and although there is the help of GPS navigation,
It is the problem of can not timely grasping road section traffic volume congestion information and understand optimal programme path, this has also aggravated city
The phenomenon that city's road traffic congestion.
Invention content
Technical problems based on background technology, the present invention propose a kind of traffic administration side based on big data platform
Method;
A kind of traffic management method based on big data platform proposed by the present invention, including:
One or more traffic path is formulated according to starting point input by user and terminal;
Obtain the traffic congestion information on traffic path;
Obtain the road construction information on traffic path;
Obtain the traffic lights information on traffic path;
Traffic congestion information, construction information and the traffic lights information on traffic path are shown to user.
Preferably, the traffic congestion information obtained on traffic path, specifically includes:By connecting traffic information
Big data platform obtains the traffic congestion information on traffic path.
Preferably, before the traffic congestion information on obtaining traffic path, further include:Establish the big number of traffic information
According to platform, each section congestion time started, congested link length, congested link vehicle are stored in the traffic information big data platform
Speed.
Preferably, the road construction information obtained on traffic path, specifically includes:It is constructed by linking-up road and is counted greatly
According to platform, the road construction information on traffic path is obtained.
Preferably, before the road construction information on obtaining traffic path, further include:Establish the big number of road construction
According to platform, each section construction expected concluding time, construction section length, road closure letter are stored in the road construction big data platform
Breath.
Preferably, the traffic lights information obtained on traffic path, specifically includes:It is flat by connecting traffic lights big data
Platform obtains the traffic lights information on traffic path.
Preferably, before the traffic lights information on obtaining traffic path, further include:It is flat to establish traffic lights big data
Platform stores on each section green light remaining time, red light remaining time, traffic lights operation shape in the traffic lights big data platform
State.
The present invention obtains and shows traffic congestion information, road construction information and red on user's traffic path to user
Green light information, the suitable traffic path of selection for reference, the section of congestion, construction and red light is avoided thereby using family, no
The time of user is only saved, while can make vehicle is balanced to be distributed on road network, mitigates congested link, increases smooth section
Vehicle flowrate, traffic jam will significantly be improved, the further integrated management ability for improving the urban transportation overall situation,
Urban transportation efficiency is increased substantially, urban transportation bottleneck is avoided the occurrence of, reduces traffic accidents.
Description of the drawings
Fig. 1 is a kind of flow diagram of the traffic management method based on big data platform proposed by the present invention.
Specific implementation mode
Referring to Fig.1, a kind of traffic management method based on big data platform proposed by the present invention, including:
One or more traffic path is formulated according to starting point input by user and terminal.
In concrete scheme, walking along the street can be made by starting point and terminal by existing map and navigation system
Line.
The traffic congestion information on traffic path is obtained, is specifically included:Traffic information big data platform is established, it is described
Each section congestion time started, congested link length, congested link car speed are stored in traffic information big data platform, are passed through
Traffic information big data platform is connected, the traffic congestion information on traffic path is obtained.
In concrete scheme, road is established based on section congestion time started, congested link length, congested link car speed
Condition information big data platform, passes through link information big data platform, you can obtains the traffic congestion information on traffic path.
The road construction information on traffic path is obtained, is specifically included:Establish road construction big data platform, the road
Each section construction expected concluding time, construction section length, road closures information are stored in construction big data platform, pass through linking-up road
Construction big data platform, obtains the road construction information on traffic path.
In concrete scheme, establishes road based on section construction expected concluding time, construction section length, road closures information and apply
Work big data platform is constructed big data platform by linking-up road, you can obtains the road construction information on traffic path.
The traffic lights information on traffic path is obtained, is specifically included:Traffic lights big data platform is established, the traffic lights are big
Green light remaining time, red light remaining time, traffic lights operating status are stored on each section in data platform, by connecting traffic lights
Big data platform obtains the traffic lights information on traffic path.
In concrete scheme, established based on green light remaining time on section, red light remaining time, traffic lights operating status red
Green light big data platform, by connecting traffic lights big data platform, you can obtain the traffic lights information on traffic path.
Traffic congestion information, construction information and the traffic lights information on traffic path are shown to user.
In concrete scheme, to user show user's traffic path on traffic congestion information, road construction information and
Traffic lights information, the suitable traffic path of selection for reference, the section of congestion, construction and red light is avoided thereby using family,
Save user time.
Present embodiment obtains and shows traffic congestion information, road construction information on user's traffic path to user
With traffic lights information, the suitable traffic path of selection for reference avoids the road of congestion, construction and red light thereby using family
Section, not only saves the time of user, while can make vehicle is balanced to be distributed on road network, mitigates congested link, increases suitable
The vehicle flowrate in smooth section, traffic jam will significantly be improved, the further integrated pipe for improving the urban transportation overall situation
Reason ability increases substantially urban transportation efficiency, avoids the occurrence of urban transportation bottleneck, reduces traffic accidents
The foregoing is only a preferred embodiment of the present invention, but scope of protection of the present invention is not limited thereto,
Any one skilled in the art in the technical scope disclosed by the present invention, according to the technique and scheme of the present invention and its
Inventive concept is subject to equivalent substitution or change, should be covered by the protection scope of the present invention.
Claims (7)
1. a kind of traffic management method based on big data platform, which is characterized in that including:
One or more traffic path is formulated according to starting point input by user and terminal;
Obtain the traffic congestion information on traffic path;
Obtain the road construction information on traffic path;
Obtain the traffic lights information on traffic path;
Traffic congestion information, construction information and the traffic lights information on traffic path are shown to user.
2. the traffic management method according to claim 1 based on big data platform, which is characterized in that the acquisition trip
Traffic congestion information on route, specifically includes:By connecting traffic information big data platform, obtain on traffic path
Traffic congestion information.
3. the traffic management method according to claim 1 or 2 based on big data platform, which is characterized in that obtaining out
Before traffic congestion information on walking along the street line, further include:Establish traffic information big data platform, the big number of traffic information
According to storing each section congestion time started, congested link length, congested link car speed in platform.
4. the traffic management method according to claim 1 based on big data platform, which is characterized in that the acquisition trip
Road construction information on route, specifically includes:By linking-up road construction big data platform, the road on traffic path is obtained
Construction information.
5. the traffic management method according to claim 1 or 4 based on big data platform, which is characterized in that described to obtain
Before taking the road construction information on traffic path, further include:Establish road construction big data platform, the big number of road construction
According to storing each section construction expected concluding time, construction section length, road closures information in platform.
6. the traffic management method according to claim 1 based on big data platform, which is characterized in that the acquisition trip
Traffic lights information on route, specifically includes:By connecting traffic lights big data platform, the traffic lights letter on traffic path is obtained
Breath.
7. the traffic management method based on big data platform according to claim 1 or 6, which is characterized in that described to obtain
Before taking the traffic lights information on traffic path, further include:Establish traffic lights big data platform, the traffic lights big data platform
Green light remaining time, red light remaining time, traffic lights operating status on middle each section of storage.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810736555.0A CN108766009A (en) | 2018-07-06 | 2018-07-06 | A kind of traffic management method based on big data platform |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810736555.0A CN108766009A (en) | 2018-07-06 | 2018-07-06 | A kind of traffic management method based on big data platform |
Publications (1)
Publication Number | Publication Date |
---|---|
CN108766009A true CN108766009A (en) | 2018-11-06 |
Family
ID=63972574
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810736555.0A Pending CN108766009A (en) | 2018-07-06 | 2018-07-06 | A kind of traffic management method based on big data platform |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108766009A (en) |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20140324327A1 (en) * | 2013-04-24 | 2014-10-30 | University Of Washington Through Its Center For Commercialization | Methods and systems for providing geotemporal graphs |
CN107274689A (en) * | 2017-07-18 | 2017-10-20 | 贵州眯果创意科技有限公司 | A kind of Intelligent traffic management systems based on Internet of Things |
CN107702729A (en) * | 2017-09-06 | 2018-02-16 | 东南大学 | A kind of automobile navigation method and system for considering expected road conditions |
CN108053663A (en) * | 2017-12-14 | 2018-05-18 | 合肥寰景信息技术有限公司 | Urban traffic control system based on big data platform |
-
2018
- 2018-07-06 CN CN201810736555.0A patent/CN108766009A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20140324327A1 (en) * | 2013-04-24 | 2014-10-30 | University Of Washington Through Its Center For Commercialization | Methods and systems for providing geotemporal graphs |
CN107274689A (en) * | 2017-07-18 | 2017-10-20 | 贵州眯果创意科技有限公司 | A kind of Intelligent traffic management systems based on Internet of Things |
CN107702729A (en) * | 2017-09-06 | 2018-02-16 | 东南大学 | A kind of automobile navigation method and system for considering expected road conditions |
CN108053663A (en) * | 2017-12-14 | 2018-05-18 | 合肥寰景信息技术有限公司 | Urban traffic control system based on big data platform |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN100418117C (en) | Automatic control method for green wave of pedestrian crossing street signal lamp | |
Lindley | Urban freeway congestion: quantification of the problem and effectiveness of potential solutions | |
CN106679685A (en) | Driving path planning method for vehicle navigation | |
CN108335499A (en) | A kind of bus signals mode of priority of dynamic priority grade | |
US10954638B2 (en) | Flow boulevard; continuous flowing traffic on interrupted urban streets | |
CN104894932B (en) | Urban road integrated design method based on parking demand | |
CN101571994A (en) | Method for situation-display and dispersion of urban road traffic | |
CN103498394B (en) | A kind of automobile-use planar road net system | |
CN106504547A (en) | A kind of primary and secondary traffic light intersection of four by-pass normal open of opposite bilateral time crossing commutation | |
WO2023035666A1 (en) | Urban road network traffic light control method based on expected reward estimation | |
CN108053663A (en) | Urban traffic control system based on big data platform | |
CN113390424A (en) | Intelligent travel navigation method, system, equipment and medium | |
CN108766009A (en) | A kind of traffic management method based on big data platform | |
CN101572005A (en) | Method for displaying and controlling driveway travel directions | |
de Carvalho et al. | Urban Mobility in Smart Cities: a case study in the city of Curitiba | |
KR100489593B1 (en) | Method for processing/service of specified traffic information | |
CN107687115A (en) | The bus rapid transit runtime of most simple province | |
JuN et al. | Traffic segregation on spatial and temporal bases: the experience of bicycle traffic operations in China | |
CN103898820A (en) | Quasi rail transit road system | |
CN104165635A (en) | Public bike user optimal route searching method | |
Bede et al. | Optimalization of road traffic with the applied of reversible direction lanes | |
CN105702034A (en) | Monocular-vision-based intelligent traffic management and route information push method ad system | |
CN201402321Y (en) | Navigation device obtaining TMC information by GPRS | |
Jones | 27. Rethinking the urban arterial: from car mobility to urban liveability | |
Tanveer et al. | Potential implications and advantages of implementing protected u-turns in Lahore, Pakistan |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20181106 |
|
RJ01 | Rejection of invention patent application after publication |