CN109961175A - A kind of passenger's crowding recognition methods and system - Google Patents
A kind of passenger's crowding recognition methods and system Download PDFInfo
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Abstract
The present invention relates to public transport technical field more particularly to a kind of passenger's crowding recognition methods and systems.Include: step S1, obtains the vehicle operation data at n moment, the vehicle operation data includes the wind speed V of vehicle velocity V, vehicle traffic directionW, the tiltangleθ of vehicle, vehicle traction power P；Step S2 calculates the complete vehicle quality M at n moment according to the vehicle operation data acquired in step S1n,；Step S3, according to the MnM is updated,；Step S4 determines crowding grade according to the comparison result of bus quality m and the complete vehicle quality M；Step S5 issues the crowding grade.According to vehicle velocity V, the tiltangleθ of vehicle, traction power P and wind speed VWDeng parameter relevant to the real time running state of vehicle, the degree of crowding that complete vehicle quality judges vehicle is retrodicted from amechanical angle, traffic safety is more conducive to, extends vehicle ages.
Description
Technical field
The present invention relates to public transport technical field more particularly to a kind of passenger's crowding recognition methods and systems.
Background technique
Main means of transport of the urban public transport as citizens' activities, urban economy and in terms of play it is more next
Bigger effect.In China's urban public transport system, bus, electric car have just occupied main body, assume responsibility for city 80% with
On the volume of the flow of passengers.With the rapid development of social economy and the lasting quickening of Development of China's Urbanization speed, urban public transport pressure
It is more obvious.However, in the case where citizens' activities total amount sustainable growth, due to lacking real-time, exact ridership and friendship
, often there is situations such as passenger's Waiting time is too long or vehicle empty wagons rate is excessively high, so that urban public transport share rate in communication breath
It is continuous to reduce, seriously affect the progress of civil plantation level and the development in city.
The public transport phenomenon unreasonable there is also resource allocation, cause Waiting time it is long, by bus it is crowded in addition it is crowded not
The problems such as getting on the bus.Public transport crowding data can for bus operation dispatch objective basis be provided, facilitate public bus network adjustment and
The reasonable disposition of vehicle resources, and and objectivity more more scientific than passenger flow number, it is higher to can refer to value.
In the prior art, mode is mainly the following to the acquisition of crowding: range sensor detection technique, artificial side
The crowded cue button technology of formula is based on public transport GPS and IC card real time data technology (application publication number CN103730008A, Shen
Please date of publication on April 16th, 2014 application for a patent for invention), the congestion degree estimation technology of three-dimensional video-frequency based on video camera (awards
Weigh notification number CN104269060B, the patent of invention in authorized announcement date on January 4th, 2017), according to bus, accommodated passenger is weighed
The crowding of bus is assessed in the combination of amount, quantity or weight and quantity, because bus generally will not be to on-board crew
Quantity or weight limited, as long as bus in there are also spaces to allow for passenger loading.However, in certain special circumstances
Under (such as engine power deficiency, bad weather, road conditions are bad) carrying it is excessive when can have traffic safety hidden danger, be easy to cause
Bus accident.Bus longtime running under undesirably heavy loads, also will affect the service life of vehicle.
Summary of the invention
In order to solve the above-mentioned technical problem the application, proposes a kind of passenger's crowding recognition methods, which is characterized in that packet
It includes:
Step S1 obtains the vehicle operation data at n moment, and the vehicle operation data includes the wind of vehicle velocity V, vehicle traffic direction
Fast VW, the tiltangleθ of vehicle, vehicle traction power P；
Step S2 calculates the complete vehicle quality M at n moment according to the vehicle operation data acquired in step S1n,
；
Step S3, according to the MnM is updated,
；
Step S4 determines crowding grade according to the comparison result of bus quality m and the complete vehicle quality M；
Step S5 issues the crowding grade；
Wherein, g is acceleration of gravity, CrrCoefficient of rolling friction, ρ between vehicle tyre and track are vehicle periphery
Atmospheric density, front face area, the C that A is vehicledIt is vehicle acceleration, f for pneumatic drag coefficient, αmFor the translation matter of equal value of vehicle
Coefficient of discharge.
In above-mentioned technical proposal, according to vehicle velocity V, the tiltangleθ of vehicle, traction power P and wind speed VWDeng with vehicle
The relevant parameter of real time running state retrodicts the degree of crowding that complete vehicle quality judges vehicle from amechanical angle, advantageously
In traffic safety, extend vehicle ages.
Preferably, also obtaining the corresponding traffic information of the vehicle operation data in the step S1；The step S2
Include: step S2-1, calculates complete vehicle quality Mn；Step S2-2, if the traffic information, which shows that vehicle is in, meets red light brake
State is then by corresponding complete vehicle quality MnLabeled as complete vehicle quality M to be correctediAnd S3 is entered step, if the traffic information table
Bright vehicle, which is in red light, terminates starting state then for corresponding complete vehicle quality MnLabeled as correction complete vehicle quality MjAnd it enters step
Otherwise S2-3 enters step S-3;Step S2-3 carries out complete vehicle quality correction.
Preferably, the complete vehicle quality bearing calibration are as follows: if | Mj-Mi| > θ deletes complete vehicle quality M to be correctedi。
Preferably, the θ is 150kg-250kg.
Preferably, step S0, when vehicle is from bus platform, starting crowding identification；In step S5, if institute
When stating traffic information and showing that vehicle reaches next bus platform of the bus platform, terminate crowding identification.
Preferably, in the step S4: if, then congestion levels are sparse；If, then congestion levels are slight crowding；If, then congestion levels are that moderate is crowded；IfThen gather around
It is serious crowded for squeezing grade.
Preferably, passenger's crowding recognition methods is executed by cloud computing platform.
Preferably, the vehicle operation data is collected by the vehicle-mounted T-Box being installed on vehicle and is sent to cloud computing
Platform.
The present invention also provides a kind of passenger's crowding identifying systems characterized by comprising
Car-mounted terminal, for collecting vehicle operation data；
Cloud computing platform, for executing recognition methods described in any of the above embodiments；
User terminal exports crowding class information；
The car-mounted terminal, which is communicated by vehicle-mounted T-Box with base station apparatus, to be uploaded to cloud computing for the vehicle operation data and puts down
Platform, the cloud computing platform is communicated with base station apparatus is distributed to the user terminal for the crowding grade.
In above-mentioned technical proposal, according to vehicle velocity V, the tiltangleθ of vehicle, traction power P and wind speed VWDeng with vehicle
The relevant parameter of real time running state retrodicts the degree of crowding that complete vehicle quality judges vehicle from amechanical angle, advantageously
In traffic safety, extend vehicle ages.
Preferably, the user terminal includes mobile client and page end.
The present invention has the following technical effect that
1. according to vehicle velocity V, the tiltangleθ of vehicle, traction power P and wind speed VWDeng relevant to the real time running state of vehicle
Parameter retrodicts the degree of crowding that complete vehicle quality judges vehicle from amechanical angle, is more conducive to traffic safety, extends vehicle
Service life.
2. increasing the coefficient of rolling friction C between vehicle tyre and trackrr, vehicle periphery atmospheric density ρ, vehicle
Front face area A, pneumatic drag coefficient Cd, vehicle acceleration α, vehicle translatory mass coefficient f of equal valuemThe pure electricity of multi-data fusion
Motor-car vehicle load calibrating patterns, so that the assessment of complete vehicle quality is more accurate.
3. for the traffic light intersection between two websites encounter red parking be again started up to vehicle between calculating
Complete vehicle quality data be corrected rejecting, improve the accuracy of complete vehicle quality assessment.
4. be conducive to allow user to understand the operation situation of bus in advance, reasonable arrangement trip allows the Methodistic fortune of traffic
Row.
5. be conducive to bus dispatching center monitors the degree of crowding of bus in the process of moving in real time, facilitate it to public affairs
The scheduling of the shift of friendship has the characteristics that automatic identification, judgement and statistics.
Detailed description of the invention
The system diagram of passenger's crowding identification of Fig. 1 embodiment of the present invention three.
Specific embodiment
Term used herein is used only for the purpose of describing specific embodiments, and is not intended to limit the present invention.Unless in addition
Definition, otherwise all terms used herein have normally understood identical with those skilled in the art
Meaning.It will be further appreciated that essential term should be interpreted as having and it is in related fields and present disclosure
The consistent meaning of meaning.The disclosure will be considered as example of the invention, and is not intended to and limits the invention to particular implementation
Example.
Embodiment one
A kind of passenger's crowding recognition methods is realized by operating in the software program on cloud computing platform, comprising:
Step S1 obtains the vehicle operation data at n moment, and vehicle operation data includes the wind speed of vehicle velocity V, vehicle traffic direction
VW, the tiltangleθ of vehicle, vehicle traction power P.The tiltangleθ of vehicle velocity V and vehicle, the traction power P of vehicle, vehicle fortune
The wind speed V of line directionWIt can be obtained by corresponding onboard sensor, and the car-mounted terminal by being installed on vehicle acquires, and passes through
Mobile network is sent to cloud computing platform.In addition, the custom V of vehicle traffic directionWIt can also be by mobile unit, according to corresponding
The vehicle heading that onboard sensor detects is obtained by network from remote platforms such as weather sites.Specifically in this implementation
In example, car-mounted terminal include can depth read the vehicle-mounted T-Box of automobile CAN-bus data and proprietary protocol, and by vehicle-mounted
The vehicle operation data of acquisition is sent to long-range cloud computing platform through GPRS network by T-Box and base station communication.Crowding is flat
Platform receives the information from car-mounted terminal, and extraction includes that the vehicle operation data in the information carries out the crowded of corresponding vehicle
Degree assessment.
Step S2 calculates the complete vehicle quality M at n moment according to the vehicle operation data acquired in step S1n.Complete vehicle quality is logical
Often including the weight of the people or cargo that are loaded in bus quality and bus.In the process of moving, bus and public affairs are loaded in
The people and goods on vehicle are handed over to be transferred to next bus station from a bus station as a whole.It is fixed according to newton second
Rule:
Wherein, M is complete vehicle quality, and α is vehicle acceleration, fmRotary inertia for the rotary part of vehicle (is primarily referred to as vehicle
Rotary Inertia of Flywheel and Rotary Inertia of Flywheel) the translatory mass coefficient of equal value that is converted into, FtFor the gross tractive effort of vehicle,
For the conjunction resistance of vehicle.Wherein, it closes resistance and generally includes rolling friction frictional force, aerodynamic drag and upward slope between tire and road surface
Grade resistance.Closing resistance may be calculated as:
Wherein, g is acceleration of gravity, CrrCoefficient of rolling friction, ρ between vehicle tyre and track are vehicle periphery
Atmospheric density, front face area, the C that A is vehicledIt is vehicle acceleration, f for pneumatic drag coefficient, αmFor the translation matter of equal value of vehicle
Coefficient of discharge.These coefficients are obtained by cloud computing platform according to Auto-Matching Attributes such as the models of vehicle, or pre- by staff
First set in cloud computing platform.
When speed is V, the tractive force of vehicle:
Therefore, the traction power of vehicle when speed is V:
To obtain, the complete vehicle quality at n moment:
。
Step S3, according to MnUpdate M.M refers to starting bus station that vehicle is assessed from this crowding to next public transport
The complete vehicle quality that is averaged in real time in the traveling engineering of website.Average complete vehicle quality can more accurately react the real-time matter of vehicle
Amount:
。
According to vehicle velocity V, the tiltangleθ of vehicle, traction power P and wind speed VWDeng related to the real time running state of vehicle
Parameter, retrodict the degree of crowding that complete vehicle quality judges vehicle from amechanical angle, be more conducive to traffic safety, extend vehicle
Service life.
Step S4 determines crowding grade according to the comparison result of vehicle mass m and complete vehicle quality M, determines crowding etc.
The principle of grade is that complete vehicle quality is bigger, and the corresponding degree of crowding is higher.It can flexibly be set according to the specific load-bearing conditions of vehicle
Set different vehicle mass m crowding grade corresponding with the ratio of complete vehicle quality M.Even for the vehicle of same vehicle, press
Different vehicle mass m crowding grade corresponding with the ratio of complete vehicle quality M is adjusted according to different service lives.For example, this
By crowding grade classification in embodiment are as follows: sparse, slight crowding, moderate are crowded, crowded four grades of severe.For using year
Limit the new car within 3 years:
If, then crowded crowded grade is sparse；
If, then congestion levels are slight crowding；
If, then congestion levels are that moderate is crowded；
If, then congestion levels are serious crowded.
Used car for service life at 3 years or more:
If, then congestion levels are sparse；
If, then congestion levels are slight crowding；
If, then congestion levels are that moderate is crowded；
IfThen congestion levels are serious crowded.
It designs in this way, although for the different vehicle time limits or the different crowding judgment criterias of type execution for making
Be for user with crowding level data it is transparent, more intelligently, user experience is more preferable.
Step S5 issues crowding grade.Cloud computing platform communicates crowded by what is be calculated in step 4 with base station apparatus
Degree grade is distributed to user terminal.Alternatively, can be by the crowding grade being calculated in step 4 and same vehicle in step 5
The last time crowding grade of publication has compared, and issues new crowding grade if crowding grade is changed
To user terminal, if publication crowding grade is not needed, to save Internet resources there is no variation.
Embodiment two
A kind of passenger's crowding recognition methods, briefly for the sake of the present embodiment recognition methods and embodiment one something in common herein
It repeats no more.The present embodiment on the basis of example 1, executes one during the operation between two adjacent bus platforms
The circulation of secondary crowding recognition methods, for user terminal provide vehicle when being accommodated to next bus platform vehicle it is crowded
Grade, the operation situation of bus is understood for user terminal, and reasonable arrangement trip allows the Methodistic operation of traffic.The present embodiment
Include step S0 before step S1:
Step S0 starts crowding identification when vehicle is from a certain bus platform.Vehicle a certain bus platform stop with
Afterwards, the passenger of experience get on or off the bus passenger carrying capacity and weight would generally change.At this point, if using flat in step S3
When the calculation method of equal complete vehicle quality, the participation of the complete vehicle quality data of a upper bus platform will cause biggish error.This reality
It applies example and removes vehicle operation data, complete vehicle quality data and crowded degree of the vehicle before the bus platform in this step
According to restarting new crowding appraisal procedure circulation.
The corresponding traffic information of vehicle operation data is acquired in step S1 also so that cloud computing platform obtains the real-time of vehicle
Position.
As the preferred of the present embodiment, step S2 includes:
Step S2-1 calculates complete vehicle quality Mn；
Step S2-2, cloud computing platform can obtain the real time position of vehicle according to the traffic information of acquisition, by the real-time position of vehicle
Set to be loaded into real-time map and may determine that whether vehicle is located at traffic light intersection, further by with traffic administration website
The related web site interface crossroads traffic light state, may determine that whether vehicle is in conjunction with the vehicle velocity V of vehicle and meet red light and stop
Car state or red light terminate starting state.For the accuracy for improving predicted crowding grade, if road in the present embodiment
Condition information shows that vehicle is in and meets red light braking state then by corresponding complete vehicle quality MnLabeled as complete vehicle quality M to be correctediIt goes forward side by side
Enter step S3, by corresponding complete vehicle quality M if traffic information shows that vehicle is in red light to terminate starting statenLabeled as school
Positive complete vehicle quality MjAnd S2-3 is entered step, otherwise enter step S-3.
Step S2-3 carries out complete vehicle quality correction.In the present embodiment if | Mj-Mi| > θ deletes complete vehicle quality to be corrected
Mi.Preferably, θ is 150kg-250kg.By the excessive complete vehicle quality data M of erroriFrom the vehicle for calculating average complete vehicle quality M
Qualitative data, which is concentrated, rejects, to improve the accuracy of prediction.
In step S5, if traffic information shows that vehicle reaches next bus platform of bus platform, terminate crowding
Identification.This crowding appraisal procedure circulation terminates herein, and the related data clear operation in step S0 can also be in this step
It executes, has the same effect in rapid.
Embodiment three
A kind of passenger's crowding identifying system as shown in Figure 1 is used for including the car-mounted terminal for collecting vehicle operation data
The cloud computing platform for executing embodiment one or two recognition methods of embodiment, the user for exporting crowding class information are whole
End.
User terminal includes mobile client and page end, and car-mounted terminal is communicated with base station apparatus by vehicle-mounted T-Box and incited somebody to action
Vehicle operation data is uploaded to cloud computing platform, and the cloud computing platform is communicated with base station apparatus sends out the crowding grade of vehicle
Cloth is to user terminal.
Although the embodiments of the invention are described in conjunction with the attached drawings, but those of ordinary skill in the art can be in appended power
Benefit makes various deformations or amendments in the range of requiring.
Claims (10)
1. a kind of passenger's crowding recognition methods characterized by comprising
Step S1 obtains the vehicle operation data at n moment, and the vehicle operation data includes the wind of vehicle velocity V, vehicle traffic direction
Fast VW, the tiltangleθ of vehicle, vehicle traction power P；
Step S2 calculates the complete vehicle quality M at n moment according to the vehicle operation data acquired in step S1n,
；
Step S3, according to the MnM is updated,
；
Step S4 determines crowding grade according to the comparison result of bus quality m and the complete vehicle quality M；
Step S5 issues the crowding grade；
Wherein, g is acceleration of gravity, CrrCoefficient of rolling friction, ρ between vehicle tyre and track are vehicle periphery
Atmospheric density, front face area, the C that A is vehicledIt is vehicle acceleration, f for pneumatic drag coefficient, αmFor the translation matter of equal value of vehicle
Coefficient of discharge.
2. a kind of passenger's crowding recognition methods according to claim 1, which is characterized in that also obtained in the step S1
The corresponding traffic information of the vehicle operation data；The step S2 includes:
Step S2-1 calculates complete vehicle quality Mn；
Step S2-2, by corresponding complete vehicle quality M if the traffic information shows that vehicle is in chance red light braking statenMark
It is denoted as complete vehicle quality M to be correctediAnd S3 is entered step, if the traffic information shows that vehicle is in red light and terminates starting state
Then by corresponding complete vehicle quality MnLabeled as correction complete vehicle quality MjAnd S2-3 is entered step, otherwise enter step S-3;
Step S2-3 carries out complete vehicle quality correction.
3. a kind of passenger's crowding recognition methods according to claim 2, which is characterized in that the complete vehicle quality correction side
Method are as follows:
If | Mj-Mi| > θ deletes complete vehicle quality M to be correctedi。
4. a kind of passenger's crowding recognition methods according to claim 3, it is characterised in that:
The θ is 150kg-250kg.
5. a kind of passenger's crowding recognition methods according to claim 2, which is characterized in that further include:
Step S0, when vehicle is from bus platform, starting crowding identification；
In step S5, if the traffic information shows that vehicle reaches next bus platform of the bus platform, terminate to gather around
Squeeze degree identification.
6. a kind of passenger's crowding recognition methods according to claim 2, which is characterized in that in the step S4:
If, then congestion levels are sparse；
If, then congestion levels are slight crowding；
If, then congestion levels are that moderate is crowded；
If, then congestion levels are serious crowded.
7. a kind of passenger's crowding recognition methods according to claim 1, it is characterised in that:
Passenger's crowding recognition methods is executed by cloud computing platform.
8. a kind of passenger's crowding recognition methods according to claim 7, it is characterised in that:
The vehicle operation data is collected by the vehicle-mounted T-Box being installed on vehicle and is sent to cloud computing platform.
9. a kind of passenger's crowding identifying system characterized by comprising
Car-mounted terminal, for collecting vehicle operation data；
Cloud computing platform requires recognition methods described in any one of 1-8 for perform claim；
User terminal exports crowding class information；
The car-mounted terminal, which is communicated by vehicle-mounted T-Box with base station apparatus, to be uploaded to cloud computing for the vehicle operation data and puts down
Platform, the cloud computing platform is communicated with base station apparatus is distributed to the user terminal for the crowding grade.
10. a kind of passenger's crowding recognition methods according to claim 8, it is characterised in that:
The user terminal includes mobile client and page end.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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Application publication date: 20190702 |