CN108297898A - Unmanned type conduit traffic wisdom management method - Google Patents
Unmanned type conduit traffic wisdom management method Download PDFInfo
- Publication number
- CN108297898A CN108297898A CN201810106312.9A CN201810106312A CN108297898A CN 108297898 A CN108297898 A CN 108297898A CN 201810106312 A CN201810106312 A CN 201810106312A CN 108297898 A CN108297898 A CN 108297898A
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- website
- big data
- closed conduit
- data controller
- rail vehicle
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Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L27/00—Central railway traffic control systems; Trackside control; Communication systems specially adapted therefor
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61B—RAILWAY SYSTEMS; EQUIPMENT THEREFOR NOT OTHERWISE PROVIDED FOR
- B61B13/00—Other railway systems
- B61B13/10—Tunnel systems
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L27/00—Central railway traffic control systems; Trackside control; Communication systems specially adapted therefor
- B61L27/40—Handling position reports or trackside vehicle data
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- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Transportation (AREA)
- Traffic Control Systems (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a kind of unmanned type conduit traffic wisdom management methods, are related to a kind of management method of rail traffic.It includes setting up closed conduit, multiple websites are set, place rail vehicle, website is set, multiple rail vehicles in closed conduit are linked to be an entirety by big data controller, passenger inputs start site and purpose website, determines vehicle running route and best execution speed, and passenger is transported to destination website after vehicle running route and the speed of service according to receiving by rail vehicle.The present invention is that rail traffic vehicles are placed into closed conduit, and the interconnection of all rail traffic vehicles is realized by big data technology, all rail traffic vehicles are made to form a whole, it is realized in the case where computer unifiedly calculates environment unmanned, it can ensure that rail traffic vehicles are not interfere with each other in closed conduit, passenger can be made to achieve the goal website with optimal route and preferably speed.
Description
Technical field
The present invention relates to a kind of management method of rail traffic, specifically unmanned type conduit traffic wisdom management
Method.
Background technology
In recent years, with the development of national economy, the quantity of the promotion of people's material base, automobile is also sharply increasing,
And China is the first in the world populous nation, being continuously increased for automobile quantity brings huge pressure to traffic, and people are average to hand over
The logical upper time spent is more and more, and traffic also becomes the big bottleneck obstacle for inhibiting economic development.People are badly in need of one kind more
The traffic solution of convenient and efficient.And in recent years, with computer technology, big data treatment technology and closed conduit technology
It is constantly promoted, people are not only more and more frequent to the intelligent needs in daily life, but also are constantly improving railcar
The speed per hour of vehicular traffic, to enable people to reach purpose website (B points) from start site (A points) faster.
The defect of existing traffic technique is as follows：1, the unmanned technology of existing rail traffic is all in single traffic work
It is realized on tool, so that all vehicles is realized in the case where unifiedly calculating environment unmanned；2, the existing vehicles are mostly non-
It is run under enclosed environment, the vehicles are in the process of running by ectocine, and operational efficiency is relatively low, and safety is poor.3、
Current traffic technique is manned mostly, even if it is also the unmanned of the single vehicles to have part unmanned
It is not carried out interconnecting for vehicular traffic under same operating system environment, to the operation speed of each vehicles of reasonable distribution
Degree and route, avoid blocking up.4, existing traffic route can reduce percent of pass, increase the used time in planar shaped at crosspoint,
And than relatively hazardous, influence pedestrian and pass through, increases dangerous.5, conduit traffic can be laid on underground, reduce environmental pollution, and subtract
It is few to take up an area.6, safety, many traffic accidents be caused by manual operation is improper, and our technology be it is whole nobody drive
It sails, avoids human error, safety coefficient is greatly promoted.
Invention content
The purpose of the invention is to overcome the shortcoming of background technology, and provide a kind of unmanned type conduit traffic
Wisdom management method.
To achieve the goals above, the technical scheme is that：Unmanned type conduit traffic wisdom management method,
It is characterized in that, it includes the following steps：Step 1：Closed conduit is first set up on the ground, and multiple stations are set in closed conduit
Point is respectively provided with vehicle parking point on each website, multiple rail vehicles is then placed in closed conduit, in each website
It is respectively provided with route planner, the rail vehicle in closed conduit is connected into one finally by big data controller and computer
A entirety；Wherein, the method that the rail vehicle in closed conduit is connected into an entirety is as follows：It first will be in closed conduit
Each rail vehicle is realized by big data controller and is networked；Then rail vehicle of the big data controller to each section
Quantity and operation speed per hour counted；Then each website different time sections are counted for traffic by big data controller
The demand of vehicle, and special bus is distributed and prepared in advance；Finally when some website special bus demand is excessive, and the preparation vehicle of the website
When quantity cannot be met the requirements, then big data controller just dispatches free vehicle by neighbouring website to the website；Step 2：
First passenger selects destination on map display screen, and number of passengers is arranged；Then the mesh that big data controller is selected according to passenger
Ground and number of passengers；Computer calculates nearest purpose website automatically, and passenger calculates mesh according to big data controller
Website, select most suitable purpose website (B), distance of the big data controller according to purpose website (B), rider
Number, and combine the quantity and speed per hour of rail vehicle being currently running in entire closed conduit calculates and a plurality of meet passenger and need
The estimated used time of the Rational Path and each Rational Path asked, and match corresponding vehicular traffic；Passenger calculates according to above-mentioned
Rational Path and it is expected that the used time determines the planning driving path of oneself, matching special bus reaches passenger's starting point, subsequently prepares traffic
Vehicle opens car door, and voice reminder arrives at and nearest website again, is finally calculated in real time by big data controller synthesis
Path and used time；Step 3：The time of cruise pipeline can be entered by first being calculated by big data controller, then will be with passenger's
Rail vehicle enters cruise pipeline (rapid pipeline) by acceleration pipeline, then enters deceleration pipeline by cruise pipeline again, directly
Website is arrived to rail vehicle, last rail vehicle enters platform and door opening；Wherein, when rail vehicle exists
When breaking down during moving to purpose website by start site, rail vehicle is sent out from trend big data controller at this time
Be out of order signal, and big data controller is according to each rail vehicle in the fault-signal adjust automatically closed conduit received
The speed of service and running route, in case rail vehicle collides in closed conduit and congestion；Wherein, because pipeline is vertical
Body is laid in space, will not form level-crossing point, to reduce the used time, increases passability.And different directions pipeline has flat
Slip pipe road connects, and does not interfere with modified line.(two figures) big data controller is monitoring special bus constantly, has in each special bus
More set monitoring systems are each provided with, when some rail vehicle finds failure, big data controller is according to the fault car
Different failure causes starts different emergency preplans；When in closed conduit the faulty rail vehicle in some section so that making
When closed conduit blocks, big data controller first carries out certainly the route of the rail vehicle in other sections in closed conduit
Dynamic adjustment, then the rail traffic vehicles in closed conduit internal fault section are planned again, and the track in failure section is allowed to hand over
For passenger on being open to traffic according to the driving scheme for selecting one of which the case where itself, the driving scheme includes planning road again
Line reselects destination；It gets off or rests to nearest website；Lane change returns to origin site.
Compared with prior art, beneficial effects of the present invention are as follows：
1, efficient, avoid traffic congestion：The present invention is that rail traffic vehicles are placed into closed conduit, and by big
Data technique realizes the interconnection of all rail traffic vehicles, so that all rail traffic vehicles is formed a whole, in computer
It is unmanned to calculate lower realization, it is ensured that rail traffic vehicles are not interfere with each other in closed conduit, passenger can be made with optimal
Route and optimal speed arrive at the destination website.And closed conduit is laid in solid space, will not be struck a bargain in planar shaped
Crunode increases passability, reduces congestion.
2, safe：Since the present invention is unmanned under sealing pipeline, artificial and external interference is less, more
Safety, speed are faster.
3, energy conservation and environmental protection：Since invention is unmanned under unified calculation, it can not only make driving in closed conduit
Sailing route and drive speed will not influence each other, and all rail traffic vehicles can be made with optimal traveling speed per hour and best road
Line reaches point of destination, realizes the pool running of rail traffic vehicles, improves service efficiency and reduce energy waste.
Description of the drawings
Fig. 1 is the structure principle chart of the present invention.
Fig. 2 is the brief principle schematic diagram of the present invention.
Specific implementation mode
The performance that the invention will now be described in detail with reference to the accompanying drawings, but they do not constitute limitation of the invention, only
It is for example.Keep advantages of the present invention more clear by explanation simultaneously and is readily appreciated that.
Refering to known to attached drawing：Unmanned type conduit traffic wisdom management method, which is characterized in that it includes following step
Suddenly：
Step 1：Closed conduit is first set up on the ground, multiple websites are set in closed conduit, on each website
Vehicle parking point is set, multiple rail vehicles are then placed in closed conduit, route planner is respectively provided in each website,
The rail vehicle in closed conduit is connected into an entirety finally by big data controller and computer；
Wherein, route planner is the prior art (specifically referring to Baidu map and Amap), route planner's
The programme path of main function, route planner include that (such as Amap and Baidu map can be with for display screen and path system
Planning and generation path simultaneously calculate the general used time), in actual work, preferably, route planner is upper to be arranged
Vehicle dispatch system (vehicle for being used for each website of reasonable distribution), on each website, vehicle and website scheduling system are both needed to
It to be connect with route planner；
Wherein, the method that the rail vehicle in closed conduit is connected into an entirety is as follows：It first will be in closed conduit
Each rail vehicle pass through big data controller realize networking；Then rail traffic of the big data controller to each section
The quantity and operation speed per hour of vehicle are counted；Then each website different time sections are counted for handing over by big data controller
The demand being open to traffic, and special bus is distributed and prepared in advance；Finally when some website special bus demand is excessive, and the preparation of the website
When vehicle fleet size cannot be met the requirements, then big data controller just dispatches free vehicle by neighbouring website to the website；
Step 2：First passenger selects destination on map display screen, and number of passengers is arranged；Then big data controller root
Destination according to passenger's selection and number of passengers；Computer calculates nearest purpose website automatically, and passenger is according to big data
Controller calculates purpose website, selects most suitable purpose website (B), big data controller is according to purpose website (B)
Distance, number of passengers, and combine the quantity and speed per hour of rail vehicle being currently running in entire closed conduit, calculate more
Item meets the Rational Path of passenger demand and the estimated used time of each Rational Path, and matches corresponding vehicular traffic；Passenger's root
According to above-mentioned calculated Rational Path and it is expected that the used time determines the planning driving path of oneself, matching special bus reaches passenger's starting point, then
Then it prepares special bus and opens car door, and voice reminder arrives at and nearest website again, finally by big data controller
It is comprehensive to calculate path and used time in real time；
Step 3：The time of cruise pipeline can be entered by first being calculated by big data controller, then by the rail with passenger
Road special bus enters cruise pipeline (rapid pipeline) by acceleration pipeline, then enters deceleration pipeline by cruise pipeline again, until
Rail vehicle arrives at website, and last rail vehicle enters platform and door opening；
Wherein, when rail vehicle breaks down during moving to purpose website by start site, rail at this time
Road special bus sends out fault-signal from trend big data controller, and big data controller is adjusted automatically according to the fault-signal received
The speed of service and running route of each rail vehicle in whole closed conduit, in case rail vehicle occurs in closed conduit
Collision and congestion；
Wherein, because pipeline is laid in solid space, level-crossing point will not be formed, to reduce the used time, is increased logical
The property crossed；And different directions pipeline has smooth pipeline to connect, and does not interfere with modified line；
Big data controller is monitoring special bus constantly, and more set monitoring systems are each provided in each special bus, when
When some rail vehicle finds failure, big data controller starts different according to the different failure causes of the fault car
Emergency preplan；
When the faulty rail vehicle in some section in closed conduit so that when closed conduit being made to block, big data
Controller is first automatically adjusted the route of the rail vehicle in other sections in closed conduit, then to closed conduit internal fault
The rail traffic vehicles in section are planned again, and allow failure section rail vehicle on passenger according to itself the case where
The driving scheme of one of which, the driving scheme is selected to include again programme path, reselect destination；To nearest website
It gets off or rests；Lane change returns to origin site.
In actual work, the present invention can carry the intelligent recognition display device of intelligent identifying system and path planning,
In, intelligent recognition mode is：It takes conduit traffic vehicle and needs identification and certification, it is estimated at present to be identified using red film, it plays
The effect of safety check.The mode of intelligent path planning is：Such as the real-time planning system of the big data of Amap, it is to be appreciated that path
Generation principle and mode, the shortest distance, the COMPREHENSIVE CALCULATING of prestissimo.
Other unaccounted parts belong to the prior art.
Claims (1)
1. unmanned type conduit traffic wisdom management method, which is characterized in that it includes the following steps：
Step 1：Closed conduit is first set up on the ground, and multiple websites are set in closed conduit, are respectively provided on each website
Vehicle parking point, then places multiple rail vehicles in closed conduit, is respectively provided with route planner in each website, finally
The rail vehicle in closed conduit is connected into an entirety by big data controller and computer；
Wherein, the method that the rail vehicle in closed conduit is connected into an entirety is as follows：It first will be each in closed conduit
A rail vehicle is realized by big data controller and is networked；Then big data controller is to the rail vehicle in each section
Quantity and operation speed per hour are counted；Then each website different time sections are counted for special bus by big data controller
Demand, and in advance distribute and prepare special bus；Finally when some website special bus demand is excessive, and the preparation vehicle of the website
When quantity cannot be met the requirements, then big data controller just dispatches free vehicle by neighbouring website to the website；
Step 2：First passenger selects destination on map display screen, and number of passengers is arranged；Then big data controller is according to multiplying
The destination of visitor's selection and number of passengers；Computer calculates nearest purpose website automatically, and passenger controls according to big data
Device calculates purpose website, selects most suitable purpose website (B), big data controller according to purpose website (B) away from
From, number of passengers, and the quantity and speed per hour for the rail vehicle being currently running in entire closed conduit are combined, calculates a plurality of symbol
The estimated used time of the Rational Path and each Rational Path of passenger demand is closed, and matches corresponding vehicular traffic；Passenger is according to upper
It states calculated Rational Path and it is expected that the used time determines the planning driving path of oneself, matching special bus reaches passenger's starting point, subsequently
Preparation special bus opens car door, and voice reminder arrives at and nearest website again, finally by big data controller synthesis
Path and used time are calculated in real time；
Step 3：The time of cruise pipeline can be entered by first being calculated by big data controller, then the track with passenger is handed over
It is open to traffic and cruise pipeline (rapid pipeline) is entered by acceleration pipeline, deceleration pipeline is then entered by cruise pipeline again, until track
Special bus arrives at website, and last rail vehicle enters platform and door opening；
Wherein, when rail vehicle breaks down during moving to purpose website by start site, track is handed at this time
It is open to traffic and sends out fault-signal from trend big data controller, big data controller is close according to the fault-signal adjust automatically received
The speed of service and running route of each rail vehicle in stopped pipe road, in case rail vehicle collides in closed conduit
And congestion；
Wherein, because pipeline is laid in solid space, level-crossing point will not be formed, to reduce the used time, increases passability；
And different directions pipeline has smooth pipeline to connect, and does not interfere with modified line；
Big data controller is monitoring special bus constantly, has in each special bus respectivelyEquipped with more set monitoring systems, when some
When rail vehicle finds failure, big data controller starts different meet an urgent need according to the different failure causes of the fault car
Prediction scheme；
When the faulty rail vehicle in some section in closed conduit so that when closed conduit being made to block, big data control
Device is first automatically adjusted the route of the rail vehicle in other sections in closed conduit, then to closed conduit internal fault section
Rail traffic vehicles planned again, and allow failure section rail vehicle on passenger selected according to the case where itself
The driving scheme of one of which, the driving scheme include again programme path, reselect destination；It gets off to nearest website
Or rest；Lane change returns to origin site.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810106312.9A CN108297898A (en) | 2018-02-02 | 2018-02-02 | Unmanned type conduit traffic wisdom management method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810106312.9A CN108297898A (en) | 2018-02-02 | 2018-02-02 | Unmanned type conduit traffic wisdom management method |
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| CN108297898A true CN108297898A (en) | 2018-07-20 |
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| CN201810106312.9A Pending CN108297898A (en) | 2018-02-02 | 2018-02-02 | Unmanned type conduit traffic wisdom management method |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109285345A (en) * | 2018-09-06 | 2019-01-29 | 杭州飞遁科技有限公司 | A kind of traffic circulation network failure allocation processing method |
| CN109767130A (en) * | 2019-01-15 | 2019-05-17 | 北京百度网讯科技有限公司 | Method for controlling a vehicle and device |
| CN110136427A (en) * | 2019-04-23 | 2019-08-16 | 广东工业大学 | A kind of automatic Pilot taxi dispatching system based on car networking big data |
| CN110857110A (en) * | 2018-08-24 | 2020-03-03 | 比亚迪股份有限公司 | Train scheduling method, scheduling device, scheduling system, terminal equipment and train |
| CN111469866A (en) * | 2020-04-09 | 2020-07-31 | 解增进 | Corridor type intelligent traffic system based on unmanned driving |
| CN113593232A (en) * | 2021-07-29 | 2021-11-02 | 吴国英 | Intelligent transportation method, system and management server |
| CN117341781A (en) * | 2023-12-04 | 2024-01-05 | 深圳市鼎善信息科技有限公司 | Rail transit fault processing method and device, computer equipment and storage medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110857110A (en) * | 2018-08-24 | 2020-03-03 | 比亚迪股份有限公司 | Train scheduling method, scheduling device, scheduling system, terminal equipment and train |
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| CN117341781A (en) * | 2023-12-04 | 2024-01-05 | 深圳市鼎善信息科技有限公司 | Rail transit fault processing method and device, computer equipment and storage medium |
| CN117341781B (en) * | 2023-12-04 | 2024-03-22 | 深圳市鼎善信息科技有限公司 | Rail transit fault processing method and device, computer equipment and storage medium |
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