CN106846794A - Traffic zone Service Index and operation exponent extracting method and system - Google Patents
Traffic zone Service Index and operation exponent extracting method and system Download PDFInfo
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- CN106846794A CN106846794A CN201611060060.8A CN201611060060A CN106846794A CN 106846794 A CN106846794 A CN 106846794A CN 201611060060 A CN201611060060 A CN 201611060060A CN 106846794 A CN106846794 A CN 106846794A
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- cell
- car
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- traffic zone
- demand
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
- G08G1/0112—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from the vehicle, e.g. floating car data [FCD]
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
Abstract
The present invention provides a kind of traffic zone Service Index and operation exponent extracting method and system, by extraction and analysis to Floating Car matched data, obtains the real time service index of taxi, comprising unloaded ratio, waits objective duration., to the average operation intensity of whole district's taxi, average travel is analyzed, and obtains taxi operation index, is beneficial to and is referred to and foundation for traffic programme and science decision are provided for rank daily simultaneously.
Description
Technical field
The present invention relates to public transport field, in particular to a kind of traffic zone Service Index and operation exponent extracting
Method and system.
Background technology
The quantity of urban taxi along with information-based high speed development also increasing sharply, but the row of traditional taxi
The backwardness relatively of industry management brings a variety of disadvantages：Efficiency is low, costly, poor real, scheduling dispersion, the wasting of resources, industry
Arrested Development.Although and the citizen in many cities are reacting the difficult problem called a taxi, especially in trip peak period such as early night shift
Period, citizen cry 'kill it' car hardly possible everyday, but are observed from this GPS, but the empty taxi that this time period on the way runs
Still it is not within minority, then to be on earth the increase vehicle or traffic control should be done well, traffic zone Service Index and level
How, it is not only generally, divided by time dimension, in every day, Mei Yizhou, whether every month, be all rational, analysis
One day, one week, the operation state and Service Index of one month, could realize more efficient dynamic pipe, science configuration, rationally adjust
Degree.
The content of the invention
Present invention aim at a kind of traffic zone Service Index and operation exponent extracting method is provided, it is traffic to be beneficial to
Planning and science decision provide reference and foundation.
To realize above-mentioned mesh, the present invention proposes a kind of traffic zone Service Index and exponent extracting method of operating, including with
Lower step：
Step1:The Floating Car matched data of 1 day before the current system date is taken from Floating Car matched data table；
Step2：Data are divided 24 parts by the hour, the data of each hour are taken into unduplicated license plate number, if repeated taken most
A nearly data, the corresponding cell in the section is found by the corresponding road section ID of pieces of data, and the vehicle for calculating each cell is empty
Load rate, one day 24 no-load ratio is made even and is the average no-load ratio O of this day of the cell；
Step3:All cars are classified by license plate number, day car sum NUM is counted, to the car of identical car plate temporally by old
Sorted to new order, all car plates are labeled as unvisit；
Step4:To the car of certain car plate unvisit, labeled as visit, an earliest information of the car is found, find the car
Continue unloaded state, i.e. ON_BUSSNESS status switches are：011 ... 110, if in the persistent state without occur across
Corresponding cell is searched in the more situation of cell, the corresponding section of every group of state of detection, self-consistentency, then the cell once waits visitor
M- most previous 1 state corresponding renewal time during the corresponding renewal of duration=last 1 state；If going out in the persistent state
Now across the situation of cell, corresponding cell is searched in the corresponding section of every group of state of detection, inconsequent, then the car is this time
Duration of waiting can be regarded as the time visitor's duration for sailing cell into, and this time wait during the corresponding renewal of objective duration=last 1 state it is m- across
More cell when corresponding 1 state update the time；
Step5：Step4 is repeated, until all markings of cars are visit, then average time visitor's duration P in the region can be calculated；
Step6：The Service Index of each cell is calculated by formula, specific formula for calculation is as follows：
It is after amendment：
Wherein a+b=1, a, b>0, coefficient can configure；
Step7：All cars are classified by license plate number, the car to identical car plate is temporally sorted by old to new order, will be all
Car plate is labeled as unvisit；
Step8：To each unvisit vehicle, labeled as visit, there is road section ID per data, traffic is determined by road section ID
Cell, finding all of i.e. ON_BUSSNESS status switches of carrying data of the car is：100 ... 001, then first 0 shape
The corresponding traffic zone of state is recorded, the odd number+1 that the cell is provided, distance travelled=last 0 state of this trip
The corresponding mileage number of 0 state of corresponding mileage number-most previous；
Step9：Step8 is constantly repeated, until all markings of cars are visit, the offer odd number of each traffic zone is calculated
Num, and the cell is per single average real load mileage d；The maximum work order number num_max and most of carrying over nearly 30 days is inquired about in the table
Big average travel d_max；
Step10：The operation index of each cell is calculated by formula, specific formula for calculation is as follows：
Formula is after modification：
Wherein c+d=1, c, d>0, coefficient can configure；
Step11：If the Service Index of certain traffic zone>0.5, then the relation between supply and demand of the traffic zone is for supply exceed demand；If certain
Between 0.3 and 0.5, then the relation between supply and demand of the traffic zone is balance between supply and demand to the Service Index of individual traffic zone；If certain
The Service Index of traffic zone<0.3, then the relation between supply and demand of the cell is supply-less-than-demand；
Step12：If average time visitor's duration of certain traffic zone is less than D1, demand intensity of calling a taxi is vigorous；If during average time visitor
Long to be less than D2 and more than D1, then demand intensity of calling a taxi is higher；If average wait objective duration less than D3 and more than D2, demand of calling a taxi is strong
Degree is general；If average wait objective duration more than D3, demand intensity of calling a taxi is relatively low.
Further, foregoing D1, D2, D3 are adjustable parameter.
As long as it should be appreciated that all combinations of aforementioned concepts and the extra design for describing in greater detail below are at this
A part for the subject matter of the disclosure is can be viewed as in the case that the design of sample is not conflicting.In addition, required guarantor
All combinations of the theme of shield are considered as a part for the subject matter of the disclosure.
Can be more fully appreciated with from the following description present invention teach that foregoing and other aspect, embodiment and spy
Levy.The feature and/or beneficial effect of other additional aspects such as illustrative embodiments of the invention will in the following description
It is obvious, or by according to present invention teach that specific embodiment practice in learn.
Specific embodiment
In order to know more about technology contents of the invention, it is described as follows especially exemplified by specific embodiment.
Embodiment of the disclosure must not be intended to include all aspects of the invention.It should be appreciated that presented hereinbefore is various
Design and embodiment, and describe in more detail below those design and implementation method can in many ways in it is any one
Plant to implement, because design disclosed in this invention and embodiment are not limited to any implementation method.In addition, the present invention is public
Some aspects opened can be used alone, or otherwise any appropriately combined be used with disclosed by the invention.
The real time service index of whole city's taxi, it is actual comprising unloaded ratio, the objective duration of time.Taxi operation index is daily
Rank to the average operation intensity of whole district's taxi, average travel is analyzed.
Embodiments in accordance with the present invention, a kind of traffic zone Service Index and operation exponent extracting method, including following step
Suddenly：
Step1:The Floating Car matched data of 1 day before the current system date is taken from Floating Car matched data table；
Step2：Data are divided 24 parts by the hour, the data of each hour are taken into unduplicated license plate number, if repeated taken most
A nearly data, the corresponding cell in the section is found by the corresponding road section ID of pieces of data, and the vehicle for calculating each cell is empty
Load rate, one day 24 no-load ratio is made even and is the average no-load ratio O of this day of the cell；
Step3:All cars are classified by license plate number, day car sum NUM is counted, to the car of identical car plate temporally by old
Sorted to new order, all car plates are labeled as unvisit；
Step4:To the car of certain car plate unvisit, labeled as visit, an earliest information of the car is found, find the car
Continue unloaded state, i.e. ON_BUSSNESS status switches are：011 ... 110, if in the persistent state without occur across
Corresponding cell is searched in the more situation of cell, the corresponding section of every group of state of detection, self-consistentency, then the cell once waits visitor
M- most previous 1 state corresponding renewal time during the corresponding renewal of duration=last 1 state；If going out in the persistent state
Now across the situation of cell, corresponding cell is searched in the corresponding section of every group of state of detection, inconsequent, then the car is this time
Duration of waiting can be regarded as the time visitor's duration for sailing cell into, and this time wait during the corresponding renewal of objective duration=last 1 state it is m- across
More cell when corresponding 1 state update the time；
Step5：Step4 is repeated, until all markings of cars are visit, then average time visitor's duration P in the region can be calculated；
Step6：The Service Index of each cell is calculated by formula, specific formula for calculation is as follows：
It is after amendment：
Wherein a+b=1, a, b>0, coefficient can configure；
Step7：All cars are classified by license plate number, the car to identical car plate is temporally sorted by old to new order, will be all
Car plate is labeled as unvisit；
Step8：To each unvisit vehicle, labeled as visit, there is road section ID per data, traffic is determined by road section ID
Cell, finding all of i.e. ON_BUSSNESS status switches of carrying data of the car is：100 ... 001, then first 0 shape
The corresponding traffic zone of state is recorded, the odd number+1 that the cell is provided, distance travelled=last 0 state of this trip
The corresponding mileage number of 0 state of corresponding mileage number-most previous；
Step9：Step8 is constantly repeated, until all markings of cars are visit, the offer odd number of each traffic zone is calculated
Num, and the cell is per single average real load mileage d；The maximum work order number num_max and most of carrying over nearly 30 days is inquired about in the table
Big average travel d_max；
Step10：The operation index of each cell is calculated by formula, specific formula for calculation is as follows：
Formula is after modification：
Wherein c+d=1, c, d>0, coefficient can configure；
Step11：If the Service Index of certain traffic zone>0.5, then the relation between supply and demand of the traffic zone is for supply exceed demand；If certain
Between 0.3 and 0.5, then the relation between supply and demand of the traffic zone is balance between supply and demand to the Service Index of individual traffic zone；If certain
The Service Index of traffic zone<0.3, then the relation between supply and demand of the cell is supply-less-than-demand；
Step12：If average time visitor's duration of certain traffic zone is less than D1, demand intensity of calling a taxi is vigorous；If during average time visitor
Long to be less than D2 and more than D1, then demand intensity of calling a taxi is higher；If average wait objective duration less than D3 and more than D2, demand of calling a taxi is strong
Degree is general；If average wait objective duration more than D3, demand intensity of calling a taxi is relatively low.
Further, foregoing D1, D2, D3 are adjustable parameter.
With reference to some specific examples, our the exemplary realizations in explanation preceding method.
During foregoing implementing, the initial data for being used derives from Floating Car matched data Table A Y_RESULT_
FCD_MATCH_DATA, road section information table, OD zone information tables.
Calculate frequency：Calculate once within 1 day
Step1:The Floating Car matched data of 1 day before the current system date is taken from AY_RESULT_FCD_MATCH_DATA tables.
Step2：Data are divided 24 parts by the hour, the data of each hour unduplicated license plate number is taken into, if repeated
A nearest data is taken, the corresponding cell in the section is found by the corresponding road section ID of pieces of data, calculate the car of each cell
No-load ratio, one day 24 no-load ratio is made even and is the average no-load ratio O of this day of the cell.
Step3:All cars are classified by license plate number, day car sum NUM is counted, to the car of identical car plate temporally
Sorted to new order by old, all car plates are labeled as unvisit.
Step4:To the car of certain car plate unvisit, labeled as visit, an earliest information of the car is found, found
The car continues unloaded state（ON_BUSSNESS status switches are：0 1 1…1 1 0）.If not going out in the persistent state
Now across the situation of cell（The corresponding section of every group of state is detected, corresponding cell, self-consistentency is searched）, then the cell is once
Wait the corresponding renewal time of m- most previous 1 state during the corresponding renewal of objective duration=last 1 state；If the persistent state
Interior situation about occurring across cell（The corresponding section of every group of state is detected, corresponding cell, inconsequent is searched）, then the car
This duration of waiting can be regarded as the time visitor's duration for sailing cell into, and this time is when waiting the corresponding renewal of objective duration=last 1 state
Corresponding 1 state updates the time during m- leap cell.（Note：Repeatedly similarly calculated across cell）
Step5：Step4 is repeated, until all markings of cars are visit, then average time visitor's duration P in the region can be calculated.
Step6：The Service Index of each cell, specific formula for calculation are calculated by formula（Annex is seen in formula source）Such as
Under：
(formula after modification)
Wherein a+b=1, a, b>0, can configure
Step7：All cars are classified by license plate number, the car to identical car plate is temporally sorted by old to new order, will be all
Car plate is labeled as unvisit.
Step8：To each unvisit vehicle, labeled as visit, there is road section ID per data, can be with by road section ID
Determine traffic zone, finding all of i.e. ON_BUSSNESS status switches of carrying data of the car is：100 ... 001, then
The corresponding traffic zone of one 0 state is recorded, the odd number+1 that the cell is provided, and the distance travelled of this trip=last
The corresponding mileage number of 0 state of the corresponding mileage number of individual 0 state-most previous.
Step9：Step8 is constantly repeated, until all markings of cars are visit, carrying for each traffic zone can be calculated
For odd number num, and the cell is per single average real load mileage d.Inquire about in the table and maximum over nearly 30 days carry work order number num_
Max and maximum average travel d_max.
Step10：The operation index of each cell is calculated by formula, specific formula for calculation is as follows：
（Formula after modification）
Wherein c+d=1, c, d>0, can configure
Step11：If the Service Index of certain traffic zone>0.5, then the relation between supply and demand of the traffic zone is for supply exceed demand
（SUPPLY_DEMOND_RELATIONSHIP=0）；If the Service Index of certain traffic zone is between 0.3 and 0.5, should
The relation between supply and demand of traffic zone is balance between supply and demand（SUPPLY_DEMOND_RELATIONSHIP=1）；If the clothes of certain traffic zone
Business index<0.3, then the relation between supply and demand of the cell is supply-less-than-demand（SUPPLY_DEMOND_RELATIONSHIP=2）.
Step12：If average time visitor's duration of certain traffic zone is less than D1, demand intensity of calling a taxi is vigorous（DEMOND_
EXPLAIN=0）；If average wait objective duration less than D2 and more than D1, demand intensity of calling a taxi is higher（DEMOND_EXPLAIN=1）；
If average wait objective duration less than D3 and more than D2, demand intensity of calling a taxi is general（DEMOND_EXPLAIN=2）；If average wait visitor
Duration is more than D3, then demand intensity of calling a taxi is relatively low（DEMOND_EXPLAIN=3）.
D1, D2, D3 are adjustable parameter.
According to the disclosure, it is also proposed that traffic zone Service Index and operation exponent extracting system, including：
At least one processor；
Memory；
Wherein, the memory is arranged for the data and program module that storage is used for processor, described program module bag
Include the programmed instruction for performing preceding method.
Although the present invention is disclosed above with preferred embodiment, so it is not limited to the present invention.Skill belonging to of the invention
Has usually intellectual in art field, without departing from the spirit and scope of the present invention, when can be used for a variety of modifications and variations.Cause
This, protection scope of the present invention ought be defined depending on those as defined in claim.
Claims (3)
1. a kind of traffic zone Service Index with operation exponent extracting method, it is characterised in that comprise the following steps：
Step1:The Floating Car matched data of 1 day before the current system date is taken from Floating Car matched data table；
Step2：Data are divided 24 parts by the hour, the data of each hour are taken into unduplicated license plate number, if repeated taken most
A nearly data, the corresponding cell in the section is found by the corresponding road section ID of pieces of data, and the vehicle for calculating each cell is empty
Load rate, one day 24 no-load ratio is made even and is the average no-load ratio O of this day of the cell；
Step3:All cars are classified by license plate number, day car sum NUM is counted, to the car of identical car plate temporally by old
Sorted to new order, all car plates are labeled as unvisit；
Step4:To the car of certain car plate unvisit, labeled as visit, an earliest information of the car is found, find the car
Continue unloaded state, i.e. ON_BUSSNESS status switches are：011 ... 110, if in the persistent state without occur across
Corresponding cell is searched in the more situation of cell, the corresponding section of every group of state of detection, self-consistentency, then the cell once waits visitor
M- most previous 1 state corresponding renewal time during the corresponding renewal of duration=last 1 state；If going out in the persistent state
Now across the situation of cell, corresponding cell is searched in the corresponding section of every group of state of detection, inconsequent, then the car is this time
Duration of waiting can be regarded as the time visitor's duration for sailing cell into, and this time wait during the corresponding renewal of objective duration=last 1 state it is m- across
More cell when corresponding 1 state update the time；
Step5：Step4 is repeated, until all markings of cars are visit, then average time visitor's duration P in the region can be calculated；
Step6：The Service Index of each cell is calculated by formula, specific formula for calculation is as follows：
It is after amendment：
Wherein a+b=1, a, b>0, coefficient can configure；
Step7：All cars are classified by license plate number, the car to identical car plate is temporally sorted by old to new order, will be all
Car plate is labeled as unvisit；
Step8：To each unvisit vehicle, labeled as visit, there is road section ID per data, traffic is determined by road section ID
Cell, finding all of i.e. ON_BUSSNESS status switches of carrying data of the car is：100 ... 001, then first 0 shape
The corresponding traffic zone of state is recorded, the odd number+1 that the cell is provided, distance travelled=last 0 state of this trip
The corresponding mileage number of 0 state of corresponding mileage number-most previous；
Step9：Step8 is constantly repeated, until all markings of cars are visit, the offer odd number of each traffic zone is calculated
Num, and the cell is per single average real load mileage d；The maximum work order number num_max and most of carrying over nearly 30 days is inquired about in the table
Big average travel d_max；
Step10：The operation index of each cell is calculated by formula, specific formula for calculation is as follows：
Formula is after modification：
Wherein c+d=1, c, d>0, coefficient can configure；
Step11：If the Service Index of certain traffic zone>0.5, then the relation between supply and demand of the traffic zone is for supply exceed demand；If certain
Between 0.3 and 0.5, then the relation between supply and demand of the traffic zone is balance between supply and demand to the Service Index of individual traffic zone；If certain
The Service Index of traffic zone<0.3, then the relation between supply and demand of the cell is supply-less-than-demand；
Step12：If average time visitor's duration of certain traffic zone is less than D1, demand intensity of calling a taxi is vigorous；If during average time visitor
Long to be less than D2 and more than D1, then demand intensity of calling a taxi is higher；If average wait objective duration less than D3 and more than D2, demand of calling a taxi is strong
Degree is general；If average wait objective duration more than D3, demand intensity of calling a taxi is relatively low.
2. traffic zone Service Index according to claim 1 with operation exponent extracting method, it is characterised in that it is foregoing
D1, D2, D3 are adjustable parameter.
3. a kind of traffic zone Service Index with operation exponent extracting system, it is characterised in that including：
At least one processor；
Memory；
Wherein, the memory is arranged for the data and program module that storage is used for processor, described program module bag
Include the programmed instruction for performing the methods described of preceding claims 1.
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| CN201611060060.8A CN106846794B (en) | 2016-11-28 | 2016-11-28 | Method and system for extracting service index and operation index of traffic cell |
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| CN201611060060.8A CN106846794B (en) | 2016-11-28 | 2016-11-28 | Method and system for extracting service index and operation index of traffic cell |
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| Publication number | Publication date |
|---|---|
| CN106846794B (en) | 2020-09-04 |
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