CN109327801A - A kind of taxi big data information collection delivery system and method based on cloud computing - Google Patents

A kind of taxi big data information collection delivery system and method based on cloud computing Download PDF

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Publication number
CN109327801A
CN109327801A CN201811403595.XA CN201811403595A CN109327801A CN 109327801 A CN109327801 A CN 109327801A CN 201811403595 A CN201811403595 A CN 201811403595A CN 109327801 A CN109327801 A CN 109327801A
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taxi
module
data information
big data
central control
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谭新良
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Hunan City University
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Hunan City University
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    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/59—Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/20—Monitoring the location of vehicles belonging to a group, e.g. fleet of vehicles, countable or determined number of vehicles
    • G08G1/202—Dispatching vehicles on the basis of a location, e.g. taxi dispatching
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/80—Camera processing pipelines; Components thereof
    • H04N23/81—Camera processing pipelines; Components thereof for suppressing or minimising disturbance in the image signal generation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00—Details of television systems
    • H04N5/14—Picture signal circuitry for video frequency region
    • H04N5/20—Circuitry for controlling amplitude response
    • H04N5/202—Gamma control
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00—Television systems
    • H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30—Services specially adapted for particular environments, situations or purposes
    • H04W4/40—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
    • H04W4/44—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for communication between vehicles and infrastructures, e.g. vehicle-to-cloud [V2C] or vehicle-to-home [V2H]

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  • Engineering & Computer Science (AREA)
  • Signal Processing (AREA)
  • Multimedia (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Traffic Control Systems (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention belongs to taxi information acquisition technique fields, a kind of taxi big data information collection delivery system and method based on cloud computing is disclosed, the taxi big data information collection delivery system based on cloud computing includes: number monitoring module, locating module, timing module, central control module, mileage calculation module, riding fee computing module, scheduler module, update module, cloud service module, display module.The present invention is acquired interior image using interior video camera by number monitoring module, to parse interior passengers quantity, the current operation state of variation and taxi in conjunction with passenger inside the vehicle's quantity；Meanwhile the region that taxi is presently in more quickly is obtained by scheduler module, and process is simple, the carrying situation in region is also presented to taxi driver, and reminded by way of voice in real time, realizes taxi and efficiently dispatch.

Description

A kind of taxi big data information collection delivery system and method based on cloud computing
Technical field
The invention belongs to taxi information acquisition technique field more particularly to a kind of taxi big datas based on cloud computing Information collection delivery system and method.
Background technique
Taxi presses mileage or time charge more, also calls a taxi for the automobile that people temporarily employs；Taxi is city The indispensable component part of traffic；With the fast development in car city city, the taxi troop in city is increasingly huger；However, It is existing that inaccuracy is monitored to cab-getter's number；Meanwhile passenger leads to height for taking the sustainable growth of trip of taxi demand The peak period call a taxi it is difficult more prominent, especially at the train station, the relatively intensive place of motor-car station, these passenger flows of airport, difficulty of calling a taxi The problem of it is more serious.
In conclusion problem of the existing technology is:
It is existing that inaccuracy is monitored to cab-getter's number；Meanwhile passenger persistently increases for taking trip of taxi demand It is long, cause peak period to be called a taxi difficult more prominent, especially at the train station, the relatively intensive ground of motor-car station, these passenger flows of airport Side, difficult problem of calling a taxi are more serious.
Video camera in the prior art, cannot effective lower random noise, cannot achieve monitoring compensation, cannot be accurate, clear Clear real time monitoring taxi content number situation；GPS locator is in the bad day such as rainy days, greasy weather, snowy day in the prior art Gas cannot accurately and efficiently position taxi traveling-position signal to the abnormal signal of GPS locator；Data in the prior art Energy consumption is larger when processing, reduces data processing speed.
Summary of the invention
In view of the problems of the existing technology, the present invention provides a kind of, and the taxi big data information based on cloud computing is adopted Collect delivery system and method.
The invention is realized in this way a kind of taxi big data information collection delivery system based on cloud computing, described Taxi big data information collecting issuing method based on cloud computing includes:
Step 1 monitors taxi content number situation in real time using using the video camera of gray proces；Pass through anti-echo GPS locator under interference positions taxi traveling-position data information in real time；
Step 2 calculates travel time data information of hiring a car by timer；Taxi row is calculated using calculation procedure Sail mileage information；Passenger's seating taxi, which is calculated, using calculation procedure arrives at the destination cost data；
Step 3 dispatches taxi running region according to carrying flow by scheduler program；It is updated by more new procedures Taxi up-to-date information；Big data Energy Resources Service is concentrated by the Cloud Server of the node selection scheme Greedy based on greedy thought It manages and stores taxi running data information；
Step 4 shows the taxi garage of taxi big data information collection delivery system interface and acquisition by display Sail data information.
Further, by using the video camera of gray proces, taxi content number situation is monitored in real time；Specifically use with Lower step:
Gray model handles video camera output, using GM (1,1) equation of albefaction form are as follows:
Wherein, a is model parameter, is calculated with least square method:
Wherein:
yN=[x0(2), x0(3) ..., x0(n)]T。
Further, by the node selection scheme Greedy based on greedy thought, Cloud Server, which is realized, quickly concentrates big number It is handled according to resource and stores taxi running data information；Specific algorithm are as follows:
Input: N={ n1, n2..., nh, D={ d1, d2..., dm,
{t1, t2..., th, { p1, p2..., ph, L={ (n1,1..., n1,r),
(n2,1..., n2,r) ..., (nm,1..., nm,r)}；
Output: overlay node collection NS
1. initialization:
②For each node niNS do
3. calculating the weight Weight (ni) of each node；
4. selecting the maximum node of weight as overlay node；
5. updating: DS=DS ∪ NC (ni), NS=NS ∪ { ni }；
⑥IfDS Dthen go Step②；
⑦Eles returnNS。
Another object of the present invention is to provide the taxi big data information collections described in a kind of realize based on cloud computing The taxi big data information collection delivery system based on cloud computing of dissemination method, the big number of the taxi based on cloud computing Include: according to information collection delivery system
Number monitoring module, connect with central control module, for monitoring taxi content number in real time by video camera Situation；
Locating module is connect with central control module, for positioning taxi traveling-position number in real time by GPS locator It is believed that breath；
Timing module is connect with central control module, for calculating travel time data information of hiring a car by timer；
Central control module is calculated with number monitoring module, locating module, timing module, mileage calculation module, riding fee Module, scheduler module, update module, cloud service module, display module connection are normal for controlling modules by single-chip microcontroller Work；
Mileage calculation module, connect with central control module, for calculating taxi mileage travelled number by calculation procedure It is believed that breath；
Riding fee computing module, connect with central control module, takes taxi for calculating passenger by calculation procedure Arrive at the destination cost data；
Scheduler module is connect with central control module, for dispatching taxi according to carrying flow by scheduler program Running region；
Update module is connect with central control module, for updating taxi up-to-date information by more new procedures；
Cloud service module, connect with central control module, for concentrating big data resource to handle by Cloud Server and depositing Store up taxi running data information；
Display module is connect with central control module, for showing taxi big data information collection hair by display The taxi running data information of distribution system interface and acquisition.
Another object of the present invention is to provide the taxi big data information collections described in a kind of application based on cloud computing The taxi information acquisition system of dissemination method.
Advantages of the present invention and good effect are as follows:
The present invention is acquired interior image using interior video camera by number monitoring module, to parse car Passengers quantity, the current operation state of variation and taxi in conjunction with passenger inside the vehicle's quantity, judges whether taxi is accused of in violation of rules and regulations Operation, and monitoring alarm information is uploaded to server, monitored results are accurate；Meanwhile it more quickly being obtained by scheduler module The region being presently in of hiring a car is taken out, and process is simple, and the carrying situation in region is also presented to taxi driver in real time, and Reminded by way of voice, while realizing taxi and efficiently dispatch, voluntarily selected by taxi driver carrying with No and non-imposed scheduling, is filled with humanistic care.
Video camera of the present invention by using gray proces, effective lower random noise realize monitoring compensation, raising camera shooting The shooting precision of machine, realization is accurate, clearly monitors taxi content number situation in real time；The present invention passes through anti-echo interference GPS locator eliminates the bad weather such as rainy days, greasy weather, snowy day to the abnormal signal of GPS locator, in real time accurately and efficiently Position taxi traveling-position signal；The present invention is reduced energy and is disappeared by the node selection scheme Greedy based on greedy thought Consumption improves data processing speed, and Cloud Server, which is realized, quickly to be concentrated big data resource to handle and store taxi running data letter Breath.
Detailed description of the invention
Fig. 1 is the taxi big data information collecting issuing method process provided in an embodiment of the present invention based on cloud computing Figure.
Fig. 2 is the taxi big data information collection delivery system structural frames provided in an embodiment of the present invention based on cloud computing Figure；
In figure: 1, number monitoring module；2, locating module；3, timing module；4, central control module；5, mileage calculation mould Block；6, riding fee computing module；7, scheduler module；8, update module；9, cloud service module；10, display module.
Specific embodiment
In order to further understand the content, features and effects of the present invention, the following examples are hereby given, and cooperate attached drawing Detailed description are as follows.
Structure of the invention is explained in detail with reference to the accompanying drawing.
As shown in Figure 1, the taxi big data information collecting issuing method provided in an embodiment of the present invention based on cloud computing, Specific steps are as follows:
S101: taxi content number situation is monitored in real time using using the video camera of gray proces；It is dry by anti-echo GPS locator under disturbing positions taxi traveling-position data information in real time；
S102: travel time data information of hiring a car is calculated by timer；Taxi is calculated using calculation procedure to travel Mileage information；Passenger's seating taxi, which is calculated, using calculation procedure arrives at the destination cost data；
S103: taxi running region is dispatched according to carrying flow by scheduler program；It is updated out by more new procedures It hires a car up-to-date information；The processing of big data resource is concentrated by the Cloud Server of the node selection scheme Greedy based on greedy thought And store taxi running data information；
S104: show that the taxi of taxi big data information collection delivery system interface and acquisition travels by display Data information.
In step S101, the video camera provided in an embodiment of the present invention by using gray proces is effectively lower to make an uproar at random Sound realizes monitoring compensation, improves the shooting precision of video camera, and realization is accurate, clearly monitors taxi content number feelings in real time Condition；Specifically use following steps:
Gray model handles video camera output, that is, uses GM (1,1) equation of albefaction form are as follows:
Wherein, a is model parameter, is calculated with least square method:
Wherein,
yN=[x0(2), x0(3) ..., x0(n)]T。
In step S101, the GPS locator provided in an embodiment of the present invention by anti-echo interference eliminates rainy days, mist It, the bad weather such as snowy day to the abnormal signal of GPS locator, accurately and efficiently position taxi traveling-position signal in real time； It is specific as follows:
Vehicle GPS positioning discrete system state equation and sight under the bad weather echo interference such as rainy days, greasy weather, snowy day Survey equation:
In formula,State vector is tieed up for the n at K moment；
Z (K) is that the m at k moment ties up observation vector；
W (K-1) is the noise at system K-1 moment；
V (K) is that the m at system k moment ties up observation noise；
Φ (K, K-1) is the system Matrix of shifting of a step at K-1 to k moment；
H (K)+be the k moment observing matrix；
Γ (K-1) is system noise matrix, is expressed as the K-1 moment system mode affected by noise to the k moment；
The state variable for choosing vehicle GPS positioning system, is indicated using following formula are as follows:
In formula, X, y, z are position on 3 change in coordinate axis direction, speed, acceleration component,
ε x, ε y, ε z are that the echo-signal under the weather such as rainy days, greasy weather interferes the various errors to be formed in 3 reference axis Total location error caused by direction, can be equivalent with first-order Markov process,
The associated time constant of Markov process is respectively represented, υ x, υ y, υ z then represent the height of system This white noise；
Using dispersion Kalman Filter Technology handling the state variable of 3 axial directions successively, indicated using following formula System state variables after processing by x-axis for
According to the upward adaptive extended kalman filtering equation of the available x-axis of the above method, it is expressed as using following formula
In formula, Φ1X(K) Kalman filtering gain is represented,
Represent the system discrete state at K-1 moment；
The vehicle GPS positioning system state under the weather such as rainy days, greasy weather under echo interference can be stated using following formula to turn Move matrix
In formula, τ is represented and vehicle acceleration associated time constant；
It is above by the performance and error analysis to the vehicle GPS positioning under echo interference under the weather such as rainy days, greasy weather Based on the upward adaptive extended kalman filtering equation of x-axis that formula obtains, the position detection square of vehicle GPS positioning system is established Battle array, can be expressed as using following formula
In formula:
δPe、δPn、δPhRespectively correspond 3 tangent plane location errors of east orientation, north orientation, south orientation；
The accelerometer bias for representing 3 localities is poor；
δVe, δ Vn, δ VhThe gyroscope constant value error being then expressed as on 3 directions.
It is pre-processed using residual error amount of the following formula to each locality, obtains EKThe covariance value of representative andGeneration The residual error amount average value of table:
In formula, n represents the quantity of residual error observation.
The weight matrix of GPS locator is obtained, then can eliminate echo interference under the weather such as rainy days, greasy weather using following formula Under GPS locator positioning abnormal data, establish by μkAnd μpThe weight matrix of the vehicle GPS positioning system of representative.
Establish the GPS locator Optimized model under the weather such as rainy days, greasy weather under echo interference:
In formula, μpIt (k/k-1) is the global best estimates of system whole state,
For the relationship of systematic perspective measurement and state variable.
It is provided in an embodiment of the present invention to pass through the node selection scheme Greedy based on greedy thought, drop in step S103 Low-energy-consumption improves data processing speed, and Cloud Server, which is realized quickly big data resource to be concentrated to handle and stored, hires out garage Sail data information；Specific algorithm are as follows:
Input: N={ n1, n2..., nh, D={ d1, d2..., dm,
{t1, t2..., th, { p1, p2..., ph, L={ (n1,1..., n1,r),
(n2,1..., n2,r) ..., (nm,1..., nm,r)}；
Output: overlay node collection NS
1. initialization:
②For each node niNS do
3. calculating the weight Weight (ni) of each node；
4. selecting the maximum node of weight as overlay node；
5. updating: DS=DS ∪ NC (ni), NS=NS ∪ { ni }；
⑥IfDS Dthen go Step②；
⑦Eles returnNS.
As shown in Fig. 2, the taxi big data information collection delivery system provided in an embodiment of the present invention based on cloud computing It include: number monitoring module 1, locating module 2, timing module 3, central control module 4, mileage calculation module 5, riding fee calculating Module 6, scheduler module 7, update module 8, cloud service module 9, display module 10.
Number monitoring module 1 is connect with central control module 4, is tolerated towards others for being monitored in real time in taxi by video camera Number situation；
Locating module 2 is connect with central control module 4, for positioning taxi traveling-position in real time by GPS locator Data information；
Timing module 3 is connect with central control module 4, for calculating travel time data letter of hiring a car by timer Breath；
Central control module 4, with number monitoring module 1, locating module 2, timing module 3, mileage calculation module 5, by bus Take computing module 6, scheduler module 7, update module 8, cloud service module 9, display module 10 to connect, for controlling by single-chip microcontroller Modules work normally；
Mileage calculation module 5 is connect with central control module 4, for calculating taxi mileage travelled by calculation procedure Data information；
Riding fee computing module 6 is connect with central control module 4, takes taxi for calculating passenger by calculation procedure Vehicle arrives at the destination cost data；
Scheduler module 7 is connect with central control module 4, for dispatching taxi according to carrying flow by scheduler program Vehicle running region；
Update module 8 is connect with central control module 4, for updating taxi up-to-date information by more new procedures；
Cloud service module 9 is connect with central control module 4, for concentrating the processing of big data resource simultaneously by Cloud Server Store taxi running data information；
Display module 10 is connect with central control module 4, for showing the information collection of taxi big data by display The taxi running data information of delivery system interface and acquisition.
1 monitoring method of number monitoring module provided by the invention is as follows:
1) when the speed of taxi rises to pre-set velocity value from 0, the interior image of control video camera shooting first；
2) the current operation state of taxi is obtained by meter, the operation state includes complete vehicle curb condition or loaded vehicle shape State；
3) it in conjunction with the patronage and the current operation state of the taxi in the described first interior image, executes corresponding Monitoring strategies；
4) the current operation state of the taxi is complete vehicle curb condition, the passenger in the first interior image described in the combination Number and the current operation state of the taxi, if executing corresponding monitoring strategies includes: in the described first interior image Patronage is greater than 0, controls the interior image of the video camera shooting second；If the patronage in the described second interior image is big In 0, then monitoring alarm information is sent to server；
5) if the patronage in the described second interior image is greater than 0, monitoring alarm information is sent to server It include: to obtain one second interior image every shooting in 1 minute, if multiplying in the interior image of second continuously shot three times Guest's number is all larger than 0, sends monitoring alarm information to server；
6) the current operation state of the taxi is attached most importance to car state, the passenger in the first interior image described in the combination Number and the current operation state of the taxi, execute corresponding monitoring strategies include: when the taxi speed again When rising to the pre-set velocity value from 0, the video camera shooting third car image is controlled；If in the third car image Patronage be greater than the patronage in the described first interior image, then send monitoring alarm information to server.
7 dispatching method of scheduler module provided by the invention is as follows:
(1) electronic map is divided into several regions, and the region of division is identified；
(2) all marks for dividing region and area information are received and is stored；
(3) region according to locating for area information calculating current taxi；
(4) it obtains the passenger carrying status of current time taxi and uploads the mark in region locating for current taxi, taxi Passenger carrying status and taxi unique identification, if taxi passenger carrying status changes, again upload taxi locating for The unique identification of the mark in region, the passenger carrying status of taxi and taxi；
(5) if region locating for taxi changes, repeatedly step (3) and (2)；
(6) it counts the taxi passenger carrying status in each region and calculates the taxi load factor in each region；
(7) vehicle that display is presently in region is hired a car carrying situation and taxi load factor.
The specific method of step (1) provided by the invention is:
Electronic map is divided into several border circular areas, and is identified respectively with different, the mark of each border circular areas Knowledge is denoted as id respectively1, id2, id3... ..., idn。
Area information in step (2) provided by the invention includes circular central location information and the region half of border circular areas Diameter.
Step (3) specific method provided by the invention is:
Calculate the distance between current taxi and circular central position；
The distance between current taxi and circular central position are subtracted into zone radius and obtain a difference；
It hires a car corresponding to the circular central position if the difference that upper step is calculated less than a threshold value, determines Region.
It includes empty wagons and passenger carrying status that car state is hired out in step (4) provided by the invention, obtains the side for hiring out car state Formula is to be obtained by the bare weight set sensor, passenger flow sensor or meter of vehicle.
Further include the steps that voice prompting taxi region carrying situation after step (7) provided by the invention, when region sky Vehicle amount is more, and load factor is lower, prompts to postpone carrying；When region, empty wagons amount is less, and load factor is higher, prompts to go to carrying.
When the invention works, firstly, monitoring taxi content number feelings in real time using video camera by number monitoring module 1 Condition；Position taxi traveling-position data information in real time using GPS locator by locating module 2；It is utilized by timing module 3 Timer calculates travel time data information of hiring a car；Secondly, central control module 4 utilizes calculating by mileage calculation module 5 Program calculates taxi driving mileage data information；Passenger is calculated using calculation procedure by riding fee computing module 6 to take out It hires a car and arrives at the destination cost data；Taxi is dispatched according to carrying flow using scheduler program by scheduler module 7 to travel Region；Taxi up-to-date information is updated using more new procedures by update module 8；Then, it is taken by cloud service module 9 using cloud Business device concentrates big data resource to handle and store taxi running data information；Finally, utilizing display by display module 10 Show the taxi running data information of taxi big data information collection delivery system interface and acquisition.
The above is only the preferred embodiments of the present invention, and is not intended to limit the present invention in any form, Any simple modification made to the above embodiment according to the technical essence of the invention, equivalent variations and modification, belong to In the range of technical solution of the present invention.

Claims (5)

1. a kind of taxi big data information collecting issuing method based on cloud computing, which is characterized in that described to be based on cloud computing Taxi big data information collecting issuing method include:
Step 1 monitors taxi content number situation in real time using using the video camera of gray proces；Pass through anti-echo interference Under GPS locator position taxi traveling-position data information in real time；
Step 2 calculates travel time data information of hiring a car by timer；It is calculated in taxi traveling using calculation procedure Journey data information；Passenger's seating taxi, which is calculated, using calculation procedure arrives at the destination cost data；
Step 3 dispatches taxi running region according to carrying flow by scheduler program；It is updated and is hired out by more new procedures Vehicle up-to-date information；The processing of big data resource is concentrated simultaneously by the Cloud Server of the node selection scheme Greedy based on greedy thought Store taxi running data information；
Step 4 shows that the taxi of taxi big data information collection delivery system interface and acquisition travels number by display It is believed that breath.
2. the taxi big data information collecting issuing method based on cloud computing as described in claim 1, which is characterized in that logical The video camera using gray proces is crossed, monitors taxi content number situation in real time；Specifically use following steps:
Gray model handles video camera output, using GM (1,1) equation of albefaction form are as follows:
Wherein, a is model parameter, is calculated with least square method:
Wherein:
yN=[x0(2), x0(3) ..., x0(n)]T。
3. the taxi big data information collecting issuing method based on cloud computing as described in claim 1, which is characterized in that logical The node selection scheme Greedy based on greedy thought is crossed, Cloud Server, which is realized, quickly concentrates big data resource to handle and store out It hires a car running data information；Specific algorithm are as follows:
Input: N={ n1, n2..., nh, D={ d1, d2..., dm, { t1, t2..., th, { p1, p2..., ph, L= {(n1,1..., n1,r), (n2,1..., n2,r) ..., (nm,1..., nm,r)}；
Output: overlay node collection NS
1. initialization:
②
3. calculating the weight Weight (ni) of each node；
4. selecting the maximum node of weight as overlay node；
5. updating: DS=DS ∪ NC (ni), NS=NS ∪ { ni }；
⑥If DS Dthen go Step②；
⑦Eles return NS。
4. a kind of realize described in claim 1 by the taxi big data information collecting issuing method of cloud computing based on cloud The taxi big data information collection delivery system of calculation, which is characterized in that the taxi big data information based on cloud computing Acquiring delivery system includes:
Number monitoring module, connect with central control module, for monitoring taxi content number situation in real time by video camera；
Locating module is connect with central control module, for positioning taxi traveling-position data letter in real time by GPS locator Breath；
Timing module is connect with central control module, for calculating travel time data information of hiring a car by timer；
Central control module calculates mould with number monitoring module, locating module, timing module, mileage calculation module, riding fee Block, scheduler module, update module, cloud service module, display module connection, for controlling the normal work of modules by single-chip microcontroller Make；
Mileage calculation module, connect with central control module, for calculating taxi driving mileage data letter by calculation procedure Breath；
Riding fee computing module, connect with central control module, takes taxi arrival for calculating passenger by calculation procedure Destination cost data；
Scheduler module is connect with central control module, for dispatching taxi traveling according to carrying flow by scheduler program Region；
Update module is connect with central control module, for updating taxi up-to-date information by more new procedures；
Cloud service module, connect with central control module, for concentrating big data resource to handle by Cloud Server and storing out It hires a car running data information；
Display module is connect with central control module, for showing taxi big data information collection publication system by display The taxi running data information of system interface and acquisition.
5. a kind of taxi big data information collection publisher using described in claims 1 to 3 any one based on cloud computing The taxi information acquisition system of method.
CN201811403595.XA 2018-11-23 2018-11-23 A kind of taxi big data information collection delivery system and method based on cloud computing Pending CN109327801A (en)

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Cited By (2)

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