CN107067708A - A kind of travel route method of real-time adjustment of non-peak bus based on big data - Google Patents
A kind of travel route method of real-time adjustment of non-peak bus based on big data Download PDFInfo
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Abstract
The invention discloses a kind of travel route method of real-time adjustment of non-peak bus based on big data, comprise the following steps：Step 1, the by bus selected station of waiting of every passenger of collection, train number；Step 2, background processing system determine next station that the train number vehicle will be reached according to the train number passenger getting off car website and the place website situation for the passenger that waits that will take the train number；Step 3, background processing system reach database according to next feasible travel route of determination that will get to the station；Step 4, by the data storages such as the jam situation of each bar circuit to database；Step 5, predict it is each can row line reach the required time at next station, and arrange from low to high；Step 6, the travel route sequenced by travel time length is reached to the vehicle mounted communication equipment of bus select travel time most short link travel for driver.The present invention had both met the trip requirements of passenger, and the journey time and traveling distance of bus are shortened again, congestion is reduced to a certain extent.
Description
Technical field
The present invention relates to the strategy that a kind of non-peak bus adjusts travel route, more particularly to a kind of non-peak bus
Based on the real-time travel route method of adjustment of big data.
Background technology
Bus because there are energy-saving and emission-reduction, improve urban road utilization rate, alleviate traffic congestion to a certain extent,
" public traffic in priority " policy is all being carried out extensively by various regions government, and bus station is continuously increased.Public transport has to a certain extent
Public welfare, price is all less expensive, and in order to meet the diversified trip requirements of the masses, bus is using fixed point fixed line operation side
Formula, at many stations of non-peak period all without the passenger that gets on or off the bus, bus also will be in strict accordance with link travel, and reaches the station
When parking, open car door supply passenger getting on/off, this not only adds unnecessary trip, easily made in high density vehicle running section
Into jam, and deceleration accelerator during entering the station can also increase journey time, and aggravate vehicle damage, waste
Substantial amounts of time, financial resources.
The content of the invention
For above-mentioned technical problem, the invention provides a kind of travel route of the non-peak bus based on big data is real-time
Method of adjustment, the invention had both met the trip requirements of passenger, and the journey time and traveling distance of bus are shortened again, is saved
Time and financial resources, and reduce congestion to a certain extent.
The present invention is achieved through the following technical solutions：
A kind of travel route method of real-time adjustment of non-peak bus based on big data, comprises the following steps：
Step 1, collect on the control panel being arranged at coin or near the place of swiping the card every by bus passenger it is selected this
Travel destination station；Every passenger waited in bus station website is collected on the control panel being arranged near each website
The selected train number that will be taken；It is selected that the standby passenger for going to station website to wait per level is collected in cell-phone customer terminal
Wait station, by bus train number；
Step 2, the data for being collected into each control panel and cell-phone customer terminal reach background processing system in real time, according to the train number
Passenger getting off car website and will take the train number the passenger that waits place website situation, determine what the train number vehicle will be reached
Next station；
Step 3, background processing system reach database according to next feasible travel route of determination that will get to the station；
The feasible travel route of step 4, database to determine, according to the video detection system of trackside, can be monitored in real time as scope
The jam situation of each bar circuit, and can be by image digitazation, while the next intersection to be passed through of station of arrival can be calculated
Number, and the time quantization that each intersection will be passed through, finally by all data storages to database；
Step 5, data from database are reached into background processing system, predict it is each can row line reach the required of next station
Time, and arrange from low to high；
Step 6, background processing system reach the travel route sequenced by travel time length the vehicle mounted communication equipment of bus；
Step 7, bus driver show according to equipment, generally selects travel time most short link travel.
Further, in the step 1, it is placed on the control panel at coin or near the place of swiping the card and shows the train number vehicle
All parking websites, passenger step on car payment after, select on the control panel this go on a journey destination, with obtain passenger this
Trip requirements.
Further, in the step 1, it is arranged at display owning by the station on the control panel near each website
Public transport train number, when passenger waits AT STATION, the train number that selection will be taken on panel, alignment system built in the control panel,
After train number is ridden in passenger's selection, site location where background processing system will show the passenger and the train number that will be taken.
Further, in the step 2, determine that the work at next station that the train number vehicle will be reached should be every
Completed during one station vehicle on-board and off-board, if according to the vehicle line of the train number script, the station that vehicle is sequentially passed through be A, B,
C ..., is specifically included：
Assuming that train number a AT STATION A step on car passenger at least one destination be B, then the destination of the vehicle next stop be B,
If it is not, the train number data by bus then selected on the control panel the passenger waited at B stations are selected；If at least one
The train number by bus of passenger is a, then train number a next destination is station B, if it is not, then to the passenger that rushes for waiting at station in hand
The station of waiting selected in machine client, train number data of riding are selected, and background processing system can predict that passenger reaches and wait
The time of website and train number a reach passenger and waited time of website；If passenger is selected in station, B waits, and can be reached in vehicle
Reached before the B of station, then train number a next destination is station B, if passenger's selection station B waits, but the time for the B that gets to the station
Get to the station B time more than train number a, or the station of waiting of passenger's selection is not B, then train number a next destination will sequentially
Chosen again to next station C of the original vehicle line of the train number, and according to order above, until confirming train number a next mesh
Ground untill.
Further, in the step 4, the intersection to be passed through includes the intersection of signal control and non-mandrel roller
Mouthful.
Further, in step 4, the video detection system includes HD video video camera, HD video processor, light
Terminal, communication apparatus, video detection processor, traffic data processor, video matrix, monitor wall, described HD video
Video camera is used for captured in real-time vehicle image；The image information that the HD video processor is used to photograph in video camera is converted
For data signal；Optical transmitter and receiver is used to receive the optical signal transmitted from optical fiber, and optical signal converted back into analog signal；Communication apparatus
For all information of acquisition to be passed into rear end administrative center in real time；Video detection processor is used to image be shown in calculating
On machine display, and detection method is set on demand；Traffic data processor is used to receive video detection processor information, and through place
Reason is delivered to computer center；Video matrix is used for the image any switching laws input to any output end, while can control
Above and below head processed, left and right, the switch of the distance of camera lens, length and video camera, it is ensured that best angle object of observation；Monitor
Wall is used to show vehicle image.
Further, described video detection system also includes HD video storage and VOD system, the HD video
Storage is used for the vehicle image that storage and program request are shot with VOD system.
Compared with prior art, the present invention is based on big data, on the premise of non-peak period meets traveler trip requirements, root
May be selected to cross the station without passenger getting on/off according to real time data, according to the original travel route of train number, with close to not by
First station crossed is next arrival purpose website of the train number, and generates feasible travel route, background processing system
The journey time of all feasible travel routes is predicted according to the data storage of database, and it is vehicle-mounted in bus to sort from low to high
Shown in equipment, bus driver's selection journey time most short circuit reaches purpose station.The invention had both met passenger's
Trip requirements, shorten the journey time and traveling distance of bus, have saved time and financial resources, and subtract to a certain extent again
Congestion is lacked.
Brief description of the drawings
Fig. 1 is travel route method of real-time adjustment flow of the non-peak bus of the embodiment of the present invention based on big data
Figure.
Fig. 2 is the video detection system and database, the workflow diagram of background processing system of the embodiment of the present invention.
Fig. 3 is that the video detection system of the embodiment of the present invention constitutes schematic diagram.
Fig. 4 is the specific of travel route method of real-time adjustment of the non-peak bus of the embodiment of the present invention based on big data
Implementation steps flow chart.
Embodiment
The purpose of the present invention is described in further detail below by specific embodiment, embodiment can not herein one by one
Repeat, but therefore embodiments of the present invention are not defined in following examples.
As depicted in figs. 1 and 2, travel route method of real-time adjustment of a kind of non-peak bus based on big data, including
Following steps：
Step 1, collect on the control panel being arranged at coin or near the place of swiping the card every by bus passenger it is selected this
Travel destination station；Every passenger waited in bus station website is collected on the control panel being arranged near each website
The selected train number that will be taken；It is selected that the standby passenger for going to station website to wait per level is collected in cell-phone customer terminal
Wait station, by bus train number；
Step 2, the data for being collected into each control panel and cell-phone customer terminal reach background processing system in real time, according to the train number
Passenger getting off car website and will take the train number the passenger that waits place website situation, determine what the train number vehicle will be reached
Next station；
Step 3, background processing system reach database according to next feasible travel route of determination that will get to the station；
The feasible travel route of step 4, database to determine, according to the video detection system of trackside, can be monitored in real time as scope
The jam situation of each bar circuit, and can be by image digitazation, while the next intersection to be passed through of station of arrival can be calculated
Number, includes the intersection of signal control and non-mandrel roller, and by by the time quantization of each intersection, will finally own
Data storage is to database；
Step 5, data from database are reached into background processing system, predict it is each can row line reach the required of next station
Time, and arrange from low to high；
Step 6, background processing system reach the travel route sequenced by travel time length the vehicle mounted communication equipment of bus；
Step 7, bus driver show according to equipment, generally selects travel time most short link travel.
Specifically, in the step 1, it is placed on the control panel at coin or near the place of swiping the card and shows the train number vehicle
All parking websites, passenger step on car payment after, select on the control panel this go on a journey destination, with obtain passenger this
Trip requirements.
Specifically, in the step 1, it is arranged at display owning by the station on the control panel near each website
Public transport train number, when passenger waits AT STATION, the train number that selection will be taken on panel, alignment system built in the control panel,
After train number is ridden in passenger's selection, site location where background processing system will show the passenger and the train number that will be taken.
Specifically, as shown in figure 4, in the step 2, determining the work at next station that the train number vehicle will be reached
Work should be completed in each station vehicle on-board and off-board, if according to the vehicle line of the train number script, what vehicle was sequentially passed through
Station is A, B, C ..., is specifically included：
Step S1, it is assumed that train number a AT STATION A step on car a minimum of one of passenger destination be B, then S101 is performed, if it is not, then
Perform S102；
Step S101, train number a next destination are station B；
Step S102, checks the train number data that the passenger that B waits AT STATION will take；
In step S2, the train number data that the passenger that B waits AT STATION will take, if the train number that at least a passenger will take
For a, then S201 is performed, if it is not, then performing S202；
Step S201, train number a next destination are station B；
Step S202, checks the station of waiting that passenger selects on cell-phone customer terminal for rushing for waiting at station, train number data by bus；
Step S3, if B's passenger's selection waits AT STATION, and can reach when vehicle gets to the station B, then perform step S301, if
Passenger's selection station B is waited, but the time for the B that gets to the station is more than train number a and got to the station B time, or passenger's selection is waited
Station is not B, then performs step S302；
Step S301, train number a next destination are station B；
Next station C of the original vehicle line of the train number will sequentially be arrived in step S302, train number a next destination, and according to upper
Face step is chosen again, untill train number a next destination is confirmed.
Specifically, as shown in figure 3, in step 4, the video detection system includes HD video video camera, high definition and regarded
Frequency processor, optical transmitter and receiver, communication apparatus, video detection processor, traffic data processor, video matrix, HD video storage
With VOD system, monitor wall, described HD video video camera is used for captured in real-time vehicle image；The HD video processing
The image information that machine is used to photograph in video camera is converted into data signal；Optical transmitter and receiver is used to receive the light letter transmitted from optical fiber
Number, and optical signal converted back into analog signal；Communication apparatus is used to pass to all information of acquisition in the management of rear end in real time
The heart；Video detection processor is used to image show on a computer display, and sets detection method on demand；At traffic data
Reason machine is used to receive video detection processor information, and is delivered to computer center through processing；Video matrix is used for input
Image any switching laws in any output end, while can control above and below head, left and right, the distance of camera lens, length and take the photograph
The switch of camera, it is ensured that best angle object of observation；Monitor wall is used to show vehicle image；The HD video storage and point
Broadcast system is used for the vehicle image stored and program request is shot.
The above embodiment of the present invention is only intended to clearly illustrate example of the present invention, and is not to the present invention
Embodiment restriction.For those of ordinary skill in the field, it can also make on the basis of the above description
Other various forms of changes or variation.There is no necessity and possibility to exhaust all the enbodiments.It is all the present invention
Any modifications, equivalent substitutions and improvements made within spirit and principle etc., should be included in the protection of the claims in the present invention
Within the scope of.
Claims (7)
1. travel route method of real-time adjustment of a kind of non-peak bus based on big data, it is characterised in that including following step
Suddenly：
Step 1, collect on the control panel being arranged at coin or near the place of swiping the card every by bus passenger it is selected this
Travel destination station；Every passenger waited in bus station website is collected on the control panel being arranged near each website
The selected train number that will be taken；It is selected that the standby passenger for going to station website to wait per level is collected in cell-phone customer terminal
Wait station, by bus train number；
Step 2, the data for being collected into each control panel and cell-phone customer terminal reach background processing system in real time, according to the train number
Passenger getting off car website and will take the train number the passenger that waits place website situation, determine what the train number vehicle will be reached
Next station；
Step 3, background processing system reach database according to next feasible travel route of determination that will get to the station；
The feasible travel route of step 4, database to determine, according to the video detection system of trackside, can be monitored in real time as scope
The jam situation of each bar circuit, and can be by image digitazation, while the next intersection to be passed through of station of arrival can be calculated
Number, and the time quantization that each intersection will be passed through, finally by all data storages to database；
Step 5, data from database are reached into background processing system, predict it is each can row line reach the required of next station
Time, and arrange from low to high；
Step 6, background processing system reach the travel route sequenced by travel time length the vehicle mounted communication equipment of bus；
Step 7, bus driver show according to equipment, generally selects travel time most short link travel.
2. travel route method of real-time adjustment of the non-peak bus according to claim 1 based on big data, its feature
It is, in the step 1, is placed on the control panel at coin or near the place of swiping the card and shows all stops of the train number vehicle
Point, passenger is stepped on after car payment, the destination for selecting this to go on a journey on the control panel, to obtain this trip requirements of passenger.
3. travel route method of real-time adjustment of the non-peak bus according to claim 1 based on big data, its feature
It is, in the step 1, is arranged at display on the control panel near each website and, by all public transport train numbers at the station, multiplies
When visitor waits AT STATION, the train number that will be taken, alignment system built in the control panel, when passenger's selection multiplies are selected on panel
After car train number, site location where background processing system will show the passenger and the train number that will be taken.
4. travel route method of real-time adjustment of the non-peak bus according to claim 1 based on big data, its feature
It is, in the step 2, determines that the work at next station that the train number vehicle will be reached should be in each station vehicle
Completed during on-board and off-board, if according to the vehicle line of the train number script, the station that vehicle is sequentially passed through is A, B, C ..., is specifically included：
Assuming that train number a AT STATION A step on car passenger at least one destination be B, then the destination of the vehicle next stop be B,
If it is not, the train number data by bus then selected on the control panel the passenger waited at B stations are selected；If at least one
The train number by bus of passenger is a, then train number a next destination is station B, if it is not, then to the passenger that rushes for waiting at station in hand
The station of waiting selected in machine client, train number data of riding are selected, and background processing system can predict that passenger reaches and wait
The time of website and train number a reach passenger and waited time of website；If passenger is selected in station, B waits, and can be reached in vehicle
Reached before the B of station, then train number a next destination is station B, if passenger's selection station B waits, but the time for the B that gets to the station
Get to the station B time more than train number a, or the station of waiting of passenger's selection is not B, then train number a next destination will sequentially
Chosen again to next station C of the original vehicle line of the train number, and according to order above, until confirming train number a next mesh
Ground untill.
5. travel route method of real-time adjustment of the non-peak bus according to claim 1 based on big data, its feature
It is：In the step 4, the intersection to be passed through includes the intersection of signal control and non-mandrel roller.
6. travel route method of real-time adjustment of the non-peak bus according to claim 1 based on big data, its feature
It is：In step 4, the video detection system is set including HD video video camera, HD video processor, optical transmitter and receiver, communication
Standby, video detection processor, traffic data processor, video matrix, monitor wall, described HD video video camera are used for real
When shoot vehicle image；The image information that the HD video processor is used to photograph in video camera is converted into data signal；
Optical transmitter and receiver is used to receive the optical signal transmitted from optical fiber, and optical signal converted back into analog signal；Communication apparatus is used to obtain
All information pass to rear end administrative center in real time；Video detection processor is used to image be shown in computer display
On, and detection method is set on demand；Traffic data processor is used to receive video detection processor information, and is delivered to through processing
Computer center；Video matrix is used for the image any switching laws input to any output end, while head can be controlled
Up and down, left and right, the switch of the distance of camera lens, length and video camera, it is ensured that best angle object of observation；Monitor wall is used to show
Show vehicle image.
7. travel route method of real-time adjustment of the non-peak bus according to claim 6 based on big data, its feature
It is：Described video detection system also includes HD video storage and VOD system, the HD video storage and program request system
Unite for the vehicle image stored and program request is shot.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201710228347.5A CN107067708A (en) | 2017-04-10 | 2017-04-10 | A kind of travel route method of real-time adjustment of non-peak bus based on big data |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201710228347.5A CN107067708A (en) | 2017-04-10 | 2017-04-10 | A kind of travel route method of real-time adjustment of non-peak bus based on big data |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108492571A (en) * | 2018-05-22 | 2018-09-04 | 同济大学 | Urban public transport passenger flow congestion index calculation method based on passenger's subjective perception |
| CN109425345A (en) * | 2017-08-31 | 2019-03-05 | 北京嘀嘀无限科技发展有限公司 | A kind of map route display methods, display system and computer installation |
| CN110147913A (en) * | 2019-06-18 | 2019-08-20 | 八维通科技有限公司北京分公司 | A kind of subway trip control system |
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| KR101395775B1 (en) * | 2013-10-21 | 2014-05-16 | 주식회사 이비 | Voice supplying system of bus arrival information by using smart phone |
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Application publication date: 20170818 |