CN107240289A - A kind of bus routes optimum management method and system - Google Patents

A kind of bus routes optimum management method and system Download PDF

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Publication number
CN107240289A
CN107240289A CN201710608103.XA CN201710608103A CN107240289A CN 107240289 A CN107240289 A CN 107240289A CN 201710608103 A CN201710608103 A CN 201710608103A CN 107240289 A CN107240289 A CN 107240289A
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China
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bus
people
passenger
interval
face
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CN201710608103.XA
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Chinese (zh)
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刘治
郭庆荣
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Jinan Boyto Information Technology Co Ltd
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Jinan Boyto Information Technology Co Ltd
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Priority to CN201710608103.XA priority Critical patent/CN107240289A/en
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    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/123Traffic 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

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  • Engineering & Computer Science (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Traffic Control Systems (AREA)

Abstract

The present invention relates to a kind of bus routes optimum management method and system, method includes obtaining passenger's face information that each website of bus is got on the bus, obtain passenger's face information that each website of the bus is got off, by the passenger's face information got on the bus compared with the passenger's face information got off pair, human face similarity degree is obtained;It is the true passenger that gets off higher than the passenger of setting value to take human face similarity degree, calculates the patronage for obtaining that bus is carried in two websites interval, the patronage based on two website in interval arranges bus routes, quantity of dispatching a car and departure interval.

Description

A kind of bus routes optimum management method and system
Technical field
The invention belongs to intelligent transportation and field of image recognition, and in particular to a kind of bus routes optimum management method and System.
Background technology
With the quickening of urbanization process, people go out line frequency increase, the important traffic work that bus is gone on a journey as people Tool, has become not retrievable part in urban life.Bus trip has the advantages that environmental protection, efficiency high, freight volume are big, But the operation situation that there is bus is chaotic, the problems such as service level underground, public bus network, bus quantity and between dispatching a car Unreasonable also it is widely present every the time.
Meanwhile, with the rapid development of Internet, intelligent public transportation system slowly occurs, pass through the system to bus passenger flow volume Meter, can be by the flow of the people on each period, each website and each bus, and then according to flow of the people reasonable arrangement Every section of route bus quantity, the time of departure and time interval etc..
But, on current bus by camera shoot can with the number in rough Statistics current vehicle, but can not essence Really count number on the bus in each section.On bus is obtained after flow of the people, because the model gap of bus, Congested conditions in current vehicle can not be judged according to flow of the people, it is impossible to reasonable arrangement bus, greatly reduce bus utilization rate And bus operation benefit.
The content of the invention
For the deficiencies in the prior art, invention provides a kind of bus routes optimum management method, passes through system Different time sections, the flow of the people of different sections of highway are counted, and then according to flow of the people reasonable arrangement bus routes.
The present invention uses following technical scheme:A kind of bus routes optimum management method, including acquisition bus are every Passenger's face information that one website is got on the bus, obtain passenger's face information that each website of the bus is got off, and is got on the bus described Passenger's face information obtains human face similarity degree compared with the passenger's face information got off pair;Human face similarity degree is taken to be higher than setting value Passenger be the true passenger that gets off, calculate obtain adjacent two website it is interval in the patronage that carries of bus, based on the phase Patronage during adjacent two websites are interval calculates flow of the people and the ratio of seat amount:People's seat rate, arranges public according to people seat rate Hand over fare road, quantity of dispatching a car and departure interval.
Further, it is described to arrange bus routes, quantity of dispatching a car and departure interval to include according to people seat rate:
When people's seat rate is more than the first setting value, improves travel speed, increase bus quantity, shorten the departure interval;
When people's seat rate is more than the second setting value, during less than or equal to the first setting value, does not change existing bus and dispatch a car and set Put;
When people's seat rate is less than the second setting value, reduces bus quantity and increase the departure interval.
Further, if the adjacent two websites interval is AB, the bus of many with AB different circuits is taken, is compared People's seat rate in each bus AB intervals, when most adult seat rate is more than most person of low position seat rate more than three setting values, increase tool There is the bus quantity of most adult seat rate, while reducing the bus quantity with most person of low position seat rate.
Further, the public bus network is divided into multistage, every section includes multiple websites, calculates every section of interval bus The patronage of carrying, the patronage based on described every section interval bus carrying calculates flow of the people and the ratio of seat amount Value:People's seat rate, bus routes, quantity of dispatching a car and departure interval are arranged according to people seat rate.
Further, the vehicle of the bus is obtained, bus is arranged according to the vehicle of the bus and people's seat rate Circuit, quantity of dispatching a car and departure interval.
Present invention also offers a kind of bus routes Optimal Management System, including for gathering passenger's face information of getting on the bus The first camera shooting terminal and for gathering the second camera shooting terminal of passenger's face information of getting off;
First camera shooting terminal, the second camera shooting terminal recognize server by wireless communication module and Face datection respectively It is connected, the Face datection identification server has face database, Face datection recognizes server by the passenger got on the bus Face information obtains human face similarity degree compared with the passenger's face information got off pair;Take human face similarity degree multiplying higher than setting value Visitor is the true passenger that gets off, and calculates the patronage for obtaining that bus is carried in two websites interval, real-time update face database;
Public bus network optimization module, is connected with Face datection identification server, public transport is arranged according to face database Fare road, quantity of dispatching a car and departure interval.
Further, the public bus network optimization module has timing module and flow of the people database, the timing module Arrival time for obtaining each station of bus, the flow of the people database is used to record passenger getting on/off website, get on or off the bus Temporal information.
Further, the public bus network optimization module also includes locating module, the geography for detecting bus in real time Positional information.
Further, the public bus network optimization module also includes flow of the people database analysis module, according to flow of the people number The patronage for obtaining the interval bus carrying of different time sections, different websites is analyzed according to storehouse.
Further, the public bus network optimization module also includes travel speed data storehouse, for recording bus every two The interval average overall travel speed of website.
Beneficial effects of the present invention:
The method of the present invention is according to face database statistics different time sections, the bus passenger number of different sections of highway, when a certain When period section route flow of the people is higher, same road segment increases bus quantity and reduces bus hair within the period Car time interval, adds ride comfort;Certain time period section route flow of the people than it is relatively low when, within the period Same road segment reduces bus quantity and increases bus departing time interval, reduces empty-seat rate, reduces public transport operation cost, carries High on-road efficiency.
Present system cost is low, bus passenger number, and real-time update can be obtained automatically, according to different time sections, no With the number in section, operational efficiency, the operation effect of bus with reasonable arrangement bus quantity and departure interval, can be improved Benefit, also improves ride comfort.
Brief description of the drawings
Fig. 1 is the bus routes optimization schematic device based on human face detection and recognition;
Fig. 2 is face database;
Fig. 3 is flow of the people database.
Embodiment:
The invention will be further described with embodiment below in conjunction with the accompanying drawings:
It is noted that described further below is all exemplary, it is intended to provide further instruction to the application.Unless another Indicate, all technologies used herein and scientific terminology are with usual with the application person of an ordinary skill in the technical field The identical meanings of understanding.
It should be noted that term used herein above is merely to describe embodiment, and be not intended to restricted root According to the illustrative embodiments of the application.As used herein, unless the context clearly indicates otherwise, otherwise singulative It is also intended to include plural form, additionally, it should be understood that, when in this manual using term "comprising" and/or " bag Include " when, it indicates existing characteristics, step, operation, device, component and/or combinations thereof.
A kind of exemplary embodiments of the present invention are a kind of bus routes optimum management methods, including acquisition bus is each Passenger's face information that website is got on the bus, obtains passenger's face information that each website of the bus is got off, by it is described get on the bus multiply Objective face information obtains human face similarity degree compared with the passenger's face information got off pair;Human face similarity degree is taken higher than setting value Passenger is the true passenger that gets off, and the patronage for obtaining that bus is carried in adjacent two websites interval is calculated, based on described adjacent Patronage during two websites are interval calculates flow of the people and the ratio of seat amount:People's seat rate, public transport is arranged according to people seat rate Fare road, quantity of dispatching a car and departure interval.
Bus routes, quantity of dispatching a car and departure interval is arranged to specifically include according to people's seat rate:
When people's seat rate is more than 150%, improves travel speed, increase bus quantity, shorten the departure interval;
When people's seat rate is more than 50%, during less than 150%, does not change existing bus and dispatch a car setting;
When people's seat rate is less than 50%, reduces bus quantity and increase the departure interval.
It can also be AB by adjacent two website interval, take the bus of many with AB different circuits, compare each public People's seat rate in car AB intervals is handed over, when most adult seat rate is more than most person of low position seat rate more than three setting values, increase has maximum The bus quantity of people's seat rate, while reducing the bus quantity with most person of low position seat rate.
The present embodiment can also obtain the running orbit that bus is currently performed, and obtain the flat of the every two websites interval of bus Equal travel speed, the running orbit that bus is currently performed is compared with the bus routes using patterned way, root According to patronage and average overall travel speed of two website in interval, public bus network, quantity of dispatching a car described in reasonable arrangement with And the departure interval.
As an improvement, the public bus network can be divided into multistage by the present embodiment, and every section includes multiple websites, calculates The patronage of every section of interval bus carrying, the patronage carried according to described every section interval bus arranges public transport Fare road, quantity of dispatching a car and departure interval.
Flow of the people data still time saving roughly can must be obtained using the above method.
As an improvement, the present embodiment can also obtain the vehicle of the bus, according to the vehicle of the bus, Patronage during two websites are interval arranges bus routes, quantity of dispatching a car and departure interval.
One more embodiment of the present invention is a kind of bus routes Optimal Management System, including for gathering the passenger people that gets on the bus First camera shooting terminal of face information and the second camera shooting terminal for gathering passenger's face information of getting off;
First camera shooting terminal, the second camera shooting terminal recognize server by wireless communication module and Face datection respectively It is connected, the Face datection identification server has face database, Face datection recognizes server by the passenger got on the bus Face information obtains human face similarity degree compared with the passenger's face information got off pair;Take human face similarity degree multiplying higher than setting value Visitor is the true passenger that gets off, and calculates the patronage for obtaining that bus is carried in two websites interval, real-time update face database;
Public bus network optimization module, is connected with Face datection identification server, public transport is arranged according to face database Fare road, quantity of dispatching a car and departure interval.
Public bus network optimization module includes:
D GPS locating module, the positional information for detecting public transit vehicle.
Timing module, it is associated with other modules, for obtaining temporal information of arriving at a station.
Face database, stores passenger's face information of getting on or off the bus.
Flow of the people database, storage passenger getting on/off website, temporal information of getting on or off the bus.
Flow of the people database analysis module, different time sections, the public affairs of different sections of highway are obtained according to flow of the people database analysis Hand over car number.
A kind of concrete application of the present embodiment can be:
1. reach website, after front door is opened, front and back door is opened, and GPS location current site, timer record is current Arrival time and the time of departure, front and back door camera shoot passenger's photo of getting on or off the bus;
2. people is transmitted to by the passenger's photo that will get on or off the bus of one kind in the wireless networks such as GPRS, CDMA, 2G, 3G, 4G, WIFI Face is detected and identification server, and current site information, arrival time and the time of departure are transmitted into backstage flow of the people database;
Passenger's photo 3. the detection of human face detection and recognition server is got on the bus, testing result is stored in face database;People Face is detected and identification server detects passenger's photo of getting off, and similarity-rough set is carried out with the facial image in face database, Similarity is sorted from high to low in face recognition result, the high photo of priority treatment similarity is set in advance when similarity exceedes Threshold value is put, getting on or off the bus for the passenger is counted and website and gets on or off the bus the time, update face database, generate bus passenger number;It is public Hand over car number, the passenger that gets off get on or off the bus website and the time of getting on or off the bus issues backstage flow of the people data by wireless communication module Storehouse;
4. flow of the people database analysis module is according to the different time sections of backstage flow of the people statistics of database, different sections of highway Bus passenger number, reasonable arrangement bus quantity, bus departing time interval.
In above-mentioned steps 3, threshold value is set in advance, is specially:
It is 90% to set threshold value, when the human face similarity degree in the face and face database that passenger is got off in detection is more than 90% When, then the passenger getting off car, counts the passenger getting on/off website and gets on or off the bus the time;
In above-mentioned steps 4, flow of the people database is specially:
Flow of the people database mainly includes passenger's numbering, website of getting on the bus, get-off stop, got on or off the bus the time.
In above-mentioned steps 4, reasonable arrangement bus quantity, bus departing time interval, concrete mode is:
According to face database statistics different time sections, the bus passenger number of different sections of highway, when certain time period section way When informant's flow-rate ratio is higher, same road segment increases bus quantity and reduces bus departing time interval within the period, Add ride comfort;Certain time period section route flow of the people than it is relatively low when, same road segment subtracts within the period Few bus quantity simultaneously increases bus departing time interval, reduces empty-seat rate, reduces public transport operation cost, improves operation effect Benefit.
The preferred embodiment of the application is the foregoing is only, the application is not limited to, for the skill of this area For art personnel, the application can have various modifications and variations.It is all within spirit herein and principle, made any repair Change, equivalent substitution, improvement etc., should be included within the protection domain of the application.

Claims (10)

1. a kind of bus routes optimum management method, it is characterised in that:Obtain passenger's face that each website of bus is got on the bus Information, obtain passenger's face information that each website of the bus is got off, and by the passenger's face information got on the bus and gets off Passenger's face information obtains human face similarity degree compared to;It is the true passenger that gets off higher than the passenger of setting value to take human face similarity degree, The patronage for obtaining that bus is carried in adjacent two websites interval is calculated, the passenger people based on adjacent two website in interval Number calculates flow of the people and the ratio of seat amount:People's seat rate, bus routes, quantity of dispatching a car and hair are arranged according to people seat rate Workshop every.
2. a kind of bus routes optimum management method according to claim 1, it is characterised in that described according to the people Seat rate arranges bus routes, quantity of dispatching a car and departure interval to include:
When people's seat rate is more than the first setting value, improves travel speed, increase bus quantity, shorten the departure interval;
When people's seat rate is more than the second setting value, during less than or equal to the first setting value, does not change existing bus and dispatch a car setting;
When people's seat rate is less than the second setting value, reduces bus quantity and increase the departure interval.
3. a kind of bus routes optimum management method according to claim 1, it is characterised in that:If adjacent two station The interval bus for being AB, taking many with AB different circuits of point, compares people's seat rate in each bus AB intervals, when most When adult's seat rate is more than most person of low position seat rate more than three setting values, bus quantity of the increase with most adult seat rate subtracts simultaneously Few bus quantity with most person of low position seat rate.
4. a kind of bus routes optimum management method according to claim 1, it is characterised in that:By the public bus network It is divided into multistage, every section includes multiple websites, the patronage of every section of interval bus carrying is calculated, based on every section of interval The patronage of bus carrying calculate the ratio of flow of the people and seat amount:People's seat rate, public transport is arranged according to people seat rate Fare road, quantity of dispatching a car and departure interval.
5. a kind of bus routes optimum management method according to claim 1, it is characterised in that:Obtain the bus Vehicle, bus routes, quantity of dispatching a car and departure interval are arranged according to the vehicle of the bus and people's seat rate.
6. a kind of bus routes Optimal Management System, it is characterised in that including for gathering the of passenger's face information of getting on the bus One camera shooting terminal and the second camera shooting terminal for gathering passenger's face information of getting off;
First camera shooting terminal, the second camera shooting terminal recognize server phase by wireless communication module with Face datection respectively Even, the Face datection identification server has face database, and Face datection recognizes server by the passenger people got on the bus Face information obtains human face similarity degree compared with the passenger's face information got off pair;Human face similarity degree is taken to be higher than the passenger of setting value For the true passenger that gets off, the patronage for obtaining that bus is carried in two websites interval, real-time update face database are calculated;
Public bus network optimization module, is connected with Face datection identification server, public transport fare is arranged according to face database Road, quantity of dispatching a car and departure interval.
7. a kind of bus routes Optimal Management System according to claim 6, it is characterised in that:The public bus network is excellent Changing module has timing module and flow of the people database, and the timing module is used for the arrival time for obtaining each station of bus, The flow of the people database is used to record passenger getting on/off website, temporal information of getting on or off the bus.
8. a kind of bus routes Optimal Management System according to claim 6, it is characterised in that:The public bus network is excellent Changing module also includes locating module, the geographical location information for detecting bus in real time.
9. a kind of bus routes Optimal Management System according to claim 6, it is characterised in that:The public bus network is excellent Changing module also includes flow of the people database analysis module, and different time sections, different websites are obtained according to flow of the people database analysis The patronage of interval bus carrying.
10. a kind of bus routes Optimal Management System according to claim 6, it is characterised in that:The public bus network Optimization module also includes travel speed data storehouse, the average overall travel speed interval for recording every two website of bus.
CN201710608103.XA 2017-07-24 2017-07-24 A kind of bus routes optimum management method and system Pending CN107240289A (en)

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CN107993437A (en) * 2017-12-08 2018-05-04 东莞中国科学院云计算产业技术创新与育成中心 Method, apparatus, computer equipment and the storage medium of newly-increased bus routes
CN108369645A (en) * 2018-02-08 2018-08-03 深圳前海达闼云端智能科技有限公司 Taxi operation monitoring method, device, storage medium and system
CN110838240A (en) * 2019-11-11 2020-02-25 长安大学 Bus departure interval determining method and system based on binocular somatosensory recognition technology
CN111210624A (en) * 2020-01-09 2020-05-29 广州智体科技有限公司 Bus passenger flow rate statistical method
CN111311467A (en) * 2020-02-11 2020-06-19 罗普特科技集团股份有限公司 Bus route prediction method and system based on face recognition
CN111985768A (en) * 2020-07-07 2020-11-24 盛威时代科技集团有限公司 Method for temporarily allocating traffic resources based on cloud computing technology
CN112015776A (en) * 2020-07-07 2020-12-01 盛威时代科技集团有限公司 Passenger trip analysis application method based on cloud computing technology
CN112052276A (en) * 2020-08-19 2020-12-08 腾讯科技(深圳)有限公司 Method and device for excavating bus route
WO2021159865A1 (en) * 2020-02-11 2021-08-19 罗普特科技集团股份有限公司 Data calibration-based bus route prediction method and system
CN113781822A (en) * 2021-09-24 2021-12-10 湖北惠诚共创科技有限公司 Bus dispatching system based on big data
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CN107993437B (en) * 2017-12-08 2020-03-20 东莞中国科学院云计算产业技术创新与育成中心 Method and device for newly adding bus route, computer equipment and storage medium
CN107993437A (en) * 2017-12-08 2018-05-04 东莞中国科学院云计算产业技术创新与育成中心 Method, apparatus, computer equipment and the storage medium of newly-increased bus routes
CN108369645A (en) * 2018-02-08 2018-08-03 深圳前海达闼云端智能科技有限公司 Taxi operation monitoring method, device, storage medium and system
CN110838240A (en) * 2019-11-11 2020-02-25 长安大学 Bus departure interval determining method and system based on binocular somatosensory recognition technology
CN110838240B (en) * 2019-11-11 2020-09-29 长安大学 Bus departure interval determining method and system based on binocular somatosensory recognition technology
CN111210624A (en) * 2020-01-09 2020-05-29 广州智体科技有限公司 Bus passenger flow rate statistical method
WO2021159866A1 (en) * 2020-02-11 2021-08-19 罗普特科技集团股份有限公司 Bus route prediction method and system based on facial recognition
CN111311467A (en) * 2020-02-11 2020-06-19 罗普特科技集团股份有限公司 Bus route prediction method and system based on face recognition
WO2021159865A1 (en) * 2020-02-11 2021-08-19 罗普特科技集团股份有限公司 Data calibration-based bus route prediction method and system
CN112015776A (en) * 2020-07-07 2020-12-01 盛威时代科技集团有限公司 Passenger trip analysis application method based on cloud computing technology
CN111985768A (en) * 2020-07-07 2020-11-24 盛威时代科技集团有限公司 Method for temporarily allocating traffic resources based on cloud computing technology
CN111985768B (en) * 2020-07-07 2024-02-20 盛威时代科技集团有限公司 Method for temporarily allocating traffic resources based on cloud computing technology
CN112015776B (en) * 2020-07-07 2024-02-23 盛威时代科技集团有限公司 Passenger travel analysis application method based on cloud computing technology
CN112052276A (en) * 2020-08-19 2020-12-08 腾讯科技(深圳)有限公司 Method and device for excavating bus route
CN112052276B (en) * 2020-08-19 2024-04-30 腾讯科技(深圳)有限公司 Mining method and device for riding route
CN113781822A (en) * 2021-09-24 2021-12-10 湖北惠诚共创科技有限公司 Bus dispatching system based on big data
CN114613187A (en) * 2022-05-13 2022-06-10 佛山市城市规划设计研究院 Bus route setting method and device, electronic equipment and storage medium
CN114613187B (en) * 2022-05-13 2022-07-12 佛山市城市规划设计研究院 Bus route setting method and device, electronic equipment and storage medium

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