CN107945561A - Bus arrival moment forecasting procedure and its system based on NB IOT - Google Patents
Bus arrival moment forecasting procedure and its system based on NB IOT Download PDFInfo
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- CN107945561A CN107945561A CN201711226531.2A CN201711226531A CN107945561A CN 107945561 A CN107945561 A CN 107945561A CN 201711226531 A CN201711226531 A CN 201711226531A CN 107945561 A CN107945561 A CN 107945561A
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- 238000000034 method Methods 0.000 title claims abstract description 12
- 238000004891 communication Methods 0.000 claims description 19
- 238000012545 processing Methods 0.000 claims description 19
- 230000010365 information processing Effects 0.000 claims description 11
- 230000005540 biological transmission Effects 0.000 claims description 4
- 238000001514 detection method Methods 0.000 claims description 3
- 239000013307 optical fiber Substances 0.000 claims description 3
- 230000001360 synchronised effect Effects 0.000 claims description 3
- 238000011161 development Methods 0.000 abstract description 3
- 230000000694 effects Effects 0.000 abstract description 2
- 238000005516 engineering process Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 230000001413 cellular effect Effects 0.000 description 2
- 238000004134 energy conservation Methods 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
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Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/123—Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams
- G08G1/133—Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams within the vehicle ; Indicators inside the vehicles or at stops
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/025—Services making use of location information using location based information parameters
- H04W4/027—Services making use of location information using location based information parameters using movement velocity, acceleration information
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- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Traffic Control Systems (AREA)
Abstract
The present invention provides a kind of bus arrival moment forecasting procedure and its system based on NB IOT,The system comprises vehicle-mounted NB IOT UE equipment,Travel speed measures module,NB IOT base stations,NB IOT servers and bus stop end,The travel speed measures module,Vehicle-mounted NB IOT UE equipment,NB IOT base stations and NB IOT servers are sequentially connected and connect,The NB IOT base stations are connected with bus stop end,The vehicle-mounted NB IOT UE equipment is by information of vehicles,Travel route,Location information is forwarded to NB IOT EPC servers by the NB IOT base stations and is handled,Calculate the estimated arrival time of bus,And it is transferred to bus stop LED display and is shown,Realize to the precise positioning of bus in traveling and the forecast of bus arrival moment,Citizens' activities are facilitated to make rational planning for route and time,Select suitable trip mode,Benign development to urban transportation plays positive progradation.
Description
Technical field
The present invention relates to municipal intelligent traffic service field, in particular to a kind of bus arrival moment pre- syndicate
System.
Background technology
NB-IOT is a kind of arrowband technology of Internet of things based on cellular network, focuses on low-power consumption wide area network, supports Internet of Things
Net equipment is connected in the cellular data of wide area network, can be deployed directly into LTE network, is that one kind can extensive use in the world
Emerging technology, there is wide covering, low-power consumption, low cost, connect greatly.
Bus is a ring important in urban transportation, bus is to civic as a kind of popular vehicles of going on a journey
Trip brings many facilities, but bus but also easily influenced be subject to various factors such as traffic, Changes in weather, when causing
When there are citizen and need to wait the situation of bus of for a long time just taking, citizen are planned with the travel time formulates plan of travel and brings
Inconvenience.With the development of technology of Internet of things, wisdom bus has also put on schedule, and bus trip is selected in order to improve citizen
Possibility, more and more cities start to install bus-stop LED display, pass through bus-stop LED display, citizen
The time required to bus arrival can be understood in advance, so that the stroke of reasonable arrangement oneself.
The content of the invention
Mirror with this, invention mesh of the invention be to provide a kind of bus arrival moment forecasting procedure based on NB-IOT and
Its system, the forecast for bus arrival time is more accurate, facilitates citizen to select public bus network, trip of making rational planning for.
The bus arrival moment forecast system of NB-IOT a kind of, including vehicle-mounted NB-IOT UE equipment, travel speed measure
Module, NB-IOT base stations, NB-IOT servers and bus stop end, the vehicle-mounted NB-IOT UE equipment and travel speed are surveyed
Cover half block is installed on bus, and the vehicle-mounted NB-IOT UE equipment is connected with travel speed measure module, described vehicle-mounted
NB-IOT UE equipment is connected with the NB-IOT base station radios, and the NB-IOT base stations are connected with NB-IOT servers by optical fiber
Connect, the bus stop end is connected with the NB-IOT base station radios.
Preferably, the NB-IOT servers include NB-IOT EPC processing units, traffic related information processing module and
GIS modules, the NB-IOT EPC processing units are connected with the traffic related information processing module and GIS modules respectively.
Preferably, the bus stop end is equipped with NB-IOT communication modules and LED display, the NB-IOT communication modules
It is connected with the LED display, the LED display shows each circuit bus arrival moment forecast information.
A kind of bus arrival moment forecasting procedure based on NB-IOT, it is characterised in that comprise the following steps,
S1:Travel speed measure module obtains bus current driving average speed, and vehicle-mounted NB-IOT equipment obtains current
Bus real time position, vehicle-mounted NB-IOT equipment will travel average speed, bus routes, bus real time position, bus
Numbering is sent to NB-IOT base stations;
S2:The NB-IOT base stations will travel average speed, bus routes, bus real time position, bus numbering
Be sent to NB-IOT servers, NB-IOT EPC processing units according to bus real time position and bus travel routes information,
It can learn that bus apart from bus-stop distance be D (i, j) (j=1,2,3 ...), wherein i expression route or travel by vehicle names
Claim and vehicle title, j represent ordinal number of the bus along the bus-stop of travel direction, by taking 1 road car as an example, D (1-1,1) table
Show the distance of the 1st car the 1st bus-stop on the circuit of 1 road car, D (1-2,2) represents the 2nd car of 1 road car
The distance of the 2nd bus-stop on the circuit, and so on;
S3:Traffic related information processing module draws bus arrival time delay according to traffic, and is transferred to NB-
The time required to IOT EPC processing units calculate bus arrival according to formula (1);
S4:Bus stop end sends bus of the acquisition request by all circuits of the platform to NB-IOT servers
It is expected that arrival time and being shown by LED display.
5th, a kind of bus arrival moment forecasting procedure based on NB-IOT according to claim 4, its feature exist
In the vehicle-mounted NB-IOT UE equipment uses serving cell and neighbouring 2 received reference signals in cell NB-IOT base stations
Time difference is △ t as primary data, signal arrival time difference, then range difference a=△ t*c, c is propagation velocity of electromagnetic wave, by
Range difference is definite value between two NB-IOT base stations, obtains a pair of of Hyperbolic Equation (2),
A2+b2=s2 can be obtained by Hyperbolic Equation property, 2s is two NB-IOT base distance between sites, Hyperbolic Equation (2)
Represent using Hyperbolic Equation of 2 NB-IOT base stations lines as X-axis, line midpoint for origin, serving cell and neighbouring 2
The intersection point that two Hyperbolic Equations of cell NB-IOT base stations composition solve is current bus real time position.
Preferably, the bus travel routes information is obtained by the GIS modules and is sent to the NB-IOT EPC
Processing unit.
Preferably, the NB-IOT communication modules acquiescence with eDRX patterns synchronous with vehicle-mounted NB-IOT UE equipment is minimum
Paging cycle periodically sends bus-stop position information, bus-stop title, by this to NB-IOT base stations 3
All public bus network names of platform, the institute by the platform that NB-IOT EPC processing units detection NB-IOT communication modules are sent
The bus routes for having public bus network name whether to include the transmission of vehicle-mounted NB-IOT UE equipment, if can't detect, abandon bus
It is expected that the time data that arrives at a station;If detecting, continue to detect whether to be consistent with the bus-stop title, if not being consistent, lose
Abandon the estimated time data that arrives at a station of bus;NB-IOT servers are sent out by NB-IOT base stations to NB-IOT communication modules if being consistent
Send bus estimated arrive at a station time data and the real-time display on LED display.
Compared with prior art, the beneficial effects of the invention are as follows:
NB-IOT equipment of the present invention can standby, low in energy consumption, the more energy conservation and environmental protection, and only taking up very of long-time
Few bandwidth, can be deployed directly into GSM network, UMTS network or LTE network, reduce lower deployment cost, easily original
On the basis of carry out smooth upgrade, bus arrival moment forecasting procedure and its system based on NB-IOT can be obtained more accurately
Take bus real time position, calculate the estimated arrival time of bus, whens citizens' activities can pass through LEC display screens and obtain each line
The estimated arrival time of road bus, reasonably selects traffic path, formulates plan of travel, it is not necessary to blindly waits again, city is handed over
Logical benign development plays positive progradation.
Brief description of the drawings
To describe the technical solutions in the embodiments of the present invention more clearly, make required in being described below to embodiment
Attached drawing is briefly described, it should be apparent that, drawings in the following description are only the preferred embodiment of the present invention, for
For those of ordinary skill in the art, without having to pay creative labor, it can also be obtained according to these attached drawings
His attached drawing.
Fig. 1 is the overall system architecture schematic diagram of the embodiment of the present invention.
Fig. 2 is the NB-IOT server architecture schematic diagrames of the embodiment of the present invention.
Fig. 3 is the bus-stop end structure schematic diagram of the embodiment of the present invention.
In figure, 1 is vehicle-mounted NB-IOT UE equipment, and 2 be travel speed measure module, and 3 be NB-IOT base stations, and 4 be NB-IOT
Server, 5 be bus stop end, and 41 be NB-IOT EPC processing units, and 42 be traffic related information processing module, and 43 are
GIS modules, 51 be NB-IOT communication modules, and 52 be LED display.
Embodiment
The principle and features of the present invention will be described below with reference to the accompanying drawings, and cited embodiment is served only for explaining this hair
It is bright, it is not intended to limit the scope of the present invention.
With reference to Fig. 1, the present invention provides a kind of bus arrival moment forecast system based on NB-IOT, including vehicle-mounted NB-
IOT UE equipment 1, travel speed measure module 2, NB-IOT base stations 3, NB-IOT servers 4 and bus stop end 5, the car
Carry NB-IOT UE equipment 1 and travel speed measure module 2 is installed on bus, the vehicle-mounted NB-IOT UE equipment 1 and row
Sail velocity determination module 2 to be connected, the vehicle-mounted NB-IOT UE equipment 1 and 3 wireless connection of NB-IOT base stations, the NB-
IOT base stations 3 are connected with NB-IOT servers 4 by optical fiber, and the bus stop end 5 wirelessly connects with the NB-IOT base stations 4
Connect.Bus is travelled average speed, bus routes, bus real time position, public transport by the vehicle-mounted NB-IOT UE equipment 1
Received information is forwarded to described by car number information by wireless network transmissions to the NB-IOT base stations 3, NB-IOT base stations 3
The estimated arrival time of bus is sent to bus stop by NB-IOT servers 4, NB-IOT servers 4 after handling information
End 5 is checked for citizen.
With reference to Fig. 2, the NB-IOT servers 4 include NB-IOT EPC processing units 41, traffic related information processing mould
Block 42 and GIS modules 43, the NB-IOT EPC processing units 41 respectively with the traffic related information processing module 42 and GIS
Module 43 is connected.The traffic related information processing module is used to show that bus arrival is expected to prolong according to traffic jam environment
The slow time;The GIS modules 43 are used to provide bus travel routes information;The NB-IOT EPC processing units 41 are according to public affairs
Hand over car to arrive at a station bus traveling average speed that predicted delay time, bus travel routes information and NB-IOT base stations 3 send,
Bus routes, bus real time position, bus number information, draw the estimated arrival time of bus after being handled, and
It is sent to bus stop end 5.
With reference to Fig. 3, the bus stop end 5 includes NB-IOT communication modules 51 and LED display 52, the NB-IOT
Communication module 51 is connected with LED display 52.The NB-IOT communication modules 51 are used to carry out with the NB-IOT servers 4
Data interaction;LED display 52 is used for the estimated arrival time for showing each circuit bus.NB-IOT communication modules 51 receive
LED display 52 is transferred to after the estimated time information that arrives at a station of bus sent to the NB-IOT servers 4 to be shown.
Specifically, a kind of bus arrival moment forecasting procedure based on NB-IOT, includes the following steps,
S1:Travel speed measure module 2 obtains bus current driving average speed, and vehicle-mounted NB-IOT UE equipment 1 obtains
Current bus real time position, vehicle-mounted NB-IOT UE equipment 1 will travel average speed, bus routes, the real-time position of bus
Put, bus numbering is sent to NB-IOT base stations 3;
S2:The NB-IOT base stations 3 will travel average speed, bus routes, bus real time position, bus numbering
NB-IOT servers 4 are sent to, NB-IOT EPC processing units 41 are believed according to bus real time position and bus travel route
Breath, can learn that bus apart from bus-stop distance be D (i, j) (j=1,2,3 ...), wherein i expression route or travel by vehicle
Title and vehicle title, j represent ordinal number of the bus along the bus-stop of travel direction, by taking 1 road car as an example, D (1-1,1)
Represent the distance of the 1st car the 1st bus-stop on the circuit of 1 road car, D (1-2,2) represents the 2nd of 1 road car
The distance of car the 2nd bus-stop on the circuit, and so on;
S3:Traffic related information processing module 42 draws bus arrival time delay according to traffic, and is transferred to
The time required to NB-IOT EPC processing units 41 calculate bus arrival according to formula (1);
S4:Bus stop end 5 sends public transport of the acquisition request by all circuits of the platform to NB-IOT servers 4
The estimated arrival time of car is simultaneously shown by LED display 52.
Specifically, vehicle-mounted NB-IOT UE equipment 1 is received using serving cell and neighbouring 2 cell NB-IOT base stations
The reference signal time difference as primary data, signal arrival time difference is △ t, then range difference a=△ t*c, c be electromagnetic wave pass
Speed is broadcast, since range difference is definite value between two NB-IOT base stations, obtains a pair of of Hyperbolic Equation (2),
A2+b2=s2,2s distance, Hyperbolic Equation (2) between two NB-IOT base stations 3 can be obtained by Hyperbolic Equation property
Represent using Hyperbolic Equation of 23 lines of NB-IOT base stations as X-axis, line midpoint for origin, serving cell and neighbouring 2
The intersection point that two Hyperbolic Equations that a cell NB-IOT base stations 3 form solve is current bus real time position.
Specifically, the NB-IOT communication modules acquiescence with eDRX patterns synchronous with vehicle-mounted NB-IOT UE equipment is minimum
Paging cycle periodically sends bus-stop position information, bus-stop title, by this to NB-IOT base stations 3
All public bus network names of platform, the institute by the platform that NB-IOT EPC processing units detection NB-IOT communication modules are sent
The bus routes for having public bus network name whether to include the transmission of vehicle-mounted NB-IOT UE equipment, if can't detect, abandon bus
It is expected that the time data that arrives at a station;If detecting, continue to detect whether to be consistent with the bus-stop title, if not being consistent, lose
Abandon the estimated time data that arrives at a station of bus;NB-IOT servers are sent out by NB-IOT base stations to NB-IOT communication modules if being consistent
Send bus estimated arrive at a station time data and the real-time display on LED display.EDRX patterns make the NB-IOT communication modules
Substantially reduced with the power consumption of vehicle-mounted NB-IOT UE equipment, realize the long-time stable work of bus arrival moment forecast system
Make, while more energy conservation and environmental protection.
The foregoing is merely presently preferred embodiments of the present invention, is not intended to limit the invention, it is all the present invention spirit and
Within principle, any modification, equivalent replacement, improvement and so on, should all be included in the protection scope of the present invention.
Claims (7)
1. a kind of bus arrival moment forecast system based on NB-IOT, it is characterised in that set including vehicle-mounted NB-IOT UE
Standby, travel speed measure module, NB-IOT base stations, NB-IOT servers and bus stop end, the vehicle-mounted NB-IOT UE are set
Standby and travel speed measure module is installed on bus, and the vehicle-mounted NB-IOT UE equipment and travel speed measure module phase
Connection, the vehicle-mounted NB-IOT UE equipment are connected with the NB-IOT base station radios, and the NB-IOT base stations are serviced with NB-IOT
Device is connected by optical fiber, and the bus stop end is connected with the NB-IOT base station radios.
A kind of 2. bus arrival moment forecast system based on NB-IOT according to claim 1, it is characterised in that institute
Stating NB-IOT servers includes NB-IOT EPC processing units, traffic related information processing module and GIS modules, the NB-IOT
EPC processing units are connected with the traffic related information processing module and GIS modules respectively.
A kind of 3. bus arrival moment forecast system based on NB-IOT according to claim 1, it is characterised in that institute
State bus stop end and be equipped with NB-IOT communication modules and LED display, the NB-IOT communication modules and the LED display phase
Connection, the LED display show each circuit bus arrival moment forecast information.
A kind of 4. bus arrival moment forecasting procedure based on NB-IOT, it is characterised in that comprise the following steps,
S1:Travel speed measure module obtains bus current driving average speedVehicle-mounted NB-IOT equipment obtains current public transport
Car real time position, vehicle-mounted NB-IOT equipment will travel average speed, bus routes, bus real time position, bus numbering
It is sent to NB-IOT base stations;
S2:The NB-IOT base stations will travel average speed, bus routes, bus real time position, bus numbering and send
To NB-IOT servers, NB-IOT EPC processing units can be obtained according to bus real time position and bus travel routes information
Know that bus apart from bus-stop distance be D (i, j) (j=1,2,3 ...), wherein i expression route or travel by vehicle titles and
Vehicle title, j represents ordinal number of the bus along the bus-stop of travel direction, and by taking 1 road car as an example, D (1-1,1) represents 1
The distance of 1st car the 1st bus-stop on the circuit of road car, D (1-2,2) represent the 2nd car distance of 1 road car
The distance of 2nd bus-stop on the circuit, and so on;
S3:Traffic related information processing module draws bus arrival time delay t according to traffic0, and it is transferred to NB-IOT
The time required to EPC processing units calculate bus arrival according to formula (1);
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S4:Bus stop end sends acquisition request to NB-IOT servers and is expected by the bus of all circuits of the platform
Arrival time is simultaneously shown by LED display.
A kind of 5. bus arrival moment forecasting procedure based on NB-IOT according to claim 4, it is characterised in that institute
Vehicle-mounted NB-IOT equipment is stated using serving cell and neighbouring 2 cell NB-IOT base stations received reference signal time difference to make
For primary data, signal arrival time difference is △ t, then range difference a=△ t*c, c is propagation velocity of electromagnetic wave, due to two NB-
Range difference is definite value between IOT base stations, obtains a pair of of Hyperbolic Equation (2),
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A can be obtained by Hyperbolic Equation property2+b2=s2, 2s is two NB-IOT base distance between sites, Hyperbolic Equation (2) represent with
2 NB-IOT base stations lines are X-axis, the Hyperbolic Equation that line midpoint is origin, serving cell and neighbouring 2 cells
The intersection point that two Hyperbolic Equations of NB-IOT base stations composition solve is current bus real time position.
A kind of 6. bus arrival moment forecasting procedure based on NB-IOT according to claim 4, it is characterised in that institute
Bus travel routes information is stated to be obtained by the GIS modules and be sent to the NB-IOT EPC processing units.
A kind of 7. bus arrival moment forecasting procedure based on NB-IOT according to claim 4, it is characterised in that institute
State the NB-IOT communication modules acquiescence minimum paging cycle with eDRX patterns synchronous with vehicle-mounted NB-IOT UE equipment periodically to
NB-IOT base stations 3 send bus-stop position information, bus-stop title, all public bus networks by the platform
Name, whether what NB-IOT EPC processing units detection NB-IOT communication modules were sent wraps by all public bus network names of the platform
The bus routes sent containing vehicle-mounted NB-IOT UE equipment, if can't detect, abandon the estimated time data that arrives at a station of bus;
If detecting, continue to detect whether to be consistent with the bus-stop title, if not being consistent, when discarding bus is expected to arrive at a station
Between data;When NB-IOT servers if being consistent are arrived at a station by NB-IOT base stations to NB-IOT communication modules transmission bus is estimated
Between data and the real-time display on LED display.
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Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20040039762A (en) * | 2002-11-04 | 2004-05-12 | 엘지전자 주식회사 | A system and a operating method of intelligent transport system by using mobile communication system |
CN103810851A (en) * | 2014-01-23 | 2014-05-21 | 广州地理研究所 | Mobile phone location based traffic mode identification method |
CN106143538A (en) * | 2016-07-06 | 2016-11-23 | 兰州交通大学 | A kind of train locating method based on LTE R utilizing double-movement platform |
CN206674200U (en) * | 2017-03-02 | 2017-11-24 | 中移物联网有限公司 | A kind of vehicle monitoring terminal and system |
CN207571895U (en) * | 2017-11-29 | 2018-07-03 | 海南大学 | Bus arrival moment forecast system based on NB-IOT |
-
2017
- 2017-11-29 CN CN201711226531.2A patent/CN107945561A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20040039762A (en) * | 2002-11-04 | 2004-05-12 | 엘지전자 주식회사 | A system and a operating method of intelligent transport system by using mobile communication system |
CN103810851A (en) * | 2014-01-23 | 2014-05-21 | 广州地理研究所 | Mobile phone location based traffic mode identification method |
CN106143538A (en) * | 2016-07-06 | 2016-11-23 | 兰州交通大学 | A kind of train locating method based on LTE R utilizing double-movement platform |
CN206674200U (en) * | 2017-03-02 | 2017-11-24 | 中移物联网有限公司 | A kind of vehicle monitoring terminal and system |
CN207571895U (en) * | 2017-11-29 | 2018-07-03 | 海南大学 | Bus arrival moment forecast system based on NB-IOT |
Non-Patent Citations (1)
Title |
---|
赵斌: "基于GPS的公交浮动车到站时间预测", 《中国优秀硕士学位论文全文数据库 基础科学辑》, no. 1, pages 7 - 17 * |
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