CN109633716A - City distribution vehicle driving chain and its characteristic recognition method and equipment based on GPS - Google Patents
City distribution vehicle driving chain and its characteristic recognition method and equipment based on GPS Download PDFInfo
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- CN109633716A CN109633716A CN201811501854.2A CN201811501854A CN109633716A CN 109633716 A CN109633716 A CN 109633716A CN 201811501854 A CN201811501854 A CN 201811501854A CN 109633716 A CN109633716 A CN 109633716A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
Abstract
The recognition methods of the invention discloses a kind of city distribution vehicle driving chain based on GPS, according to identified through rest point, the identification of home-delivery center and client region, trip end points identification, Trip chain identification, trip five steps of track identification successively identify that distribution vehicle is gone on a journey chain information from vehicle GPS data.On this basis, the recognition methods for the city distribution vehicle driving chain feature based on GPS that the invention also provides a kind of, including the identification of temporal characteristics index, the identification of space characteristics index and the identification of operation characteristic index.Distribution vehicle Trip chain can be accurately identified through the invention, and further more finely, accurately and comprehensively identify vehicle driving behavioural characteristic, urban traffic blocking can be improved by effectively planning, air pollution, rationally effective trip planning is provided for enterprise's city distribution, there is good Social benefit and economic benefit.
Description
Technical field
The invention belongs to ITS Information processing technology fields, more particularly to a kind of city distribution vehicle based on GPS
Trip chain and its characteristic recognition method and equipment.
Background technique
With social development, effect of the city distribution in the production and living of city is increasing, at the same time, causes
The urban issues such as traffic congestion, air pollution are also more serious.The improvement of city vehicle travel behaviour characteristic recognition method is city
The dispatching improved efficiency on the basis of distribution project optimization, dispatching policy making and distribution enterprise to government is significant.
The city distribution vehicle driving behavioural characteristic research of early stage is main by the way of manual research, by dispatching
Heart administrative staff, distribution vehicle driver etc. carry out questionnaire survey, and dispense to the analysis of home-delivery center's statistical data to determine
The main feature of vehicle driving.Although this method saves time, funds and manpower, but be difficult to obtain distribution vehicle trip
Detail characteristic, and the validity of research conclusion also tends to cannot be guaranteed.As vehicle-mounted GPS equipment is general in city distribution
And distribution vehicle generates a large amount of track data daily, but since enterprise lacks Correlation Analysis Technique, lead to vehicle GPS number
According to cannot often efficiently use.
Summary of the invention
Goal of the invention: in order to solve above-mentioned the deficiencies in the prior art, it is an object of that present invention to provide a kind of cities based on GPS
City's distribution vehicle Trip chain and its characteristic recognition method and equipment can relatively accurately identify distribution vehicle Trip chain, and
Further more finely, accurately and comprehensively identify vehicle driving feature, the dispatching policy making and distribution enterprise to government
It is significant to dispense improved efficiency.
Technical solution: before introducing technical solution of the present invention, the concept used first the present invention is done as described below:
(1) through rest point and temporary parking point
It is to complete certain purpose and retention place, including home-delivery center is through rest point and client's stop over through rest point, that is, vehicle
Point.Wherein home-delivery center provides cargo entrucking and parking service for vehicle, is the beginning and end of every Trip chain；Client is goods
Object demand point is the intermediate node of dispatching；Temporary parking point is the stop generated by temporary demand in delivery process, mainly
Including filling-up area, etc. red parkings point etc..The main distinction through rest point and temporary parking point is it is having for active through rest point
The stop of purpose, temporary parking point are the provisional parkings as caused by external cause.
(2) home-delivery center
Home-delivery center is the main Rendezvous Point of vehicle, and vehicle is loaded and unloaded or stopped in home-delivery center, necessarily leads to a large amount of warp
Rest point information, therefore intuitively vehicle through the most intensive some regions of rest point is home-delivery center.
(3) client region
Client, that is, delivery point, vehicle need to stop by customer requirement in specified landing place after reaching client, and for
Landing place is usually fixed for same client, therefore relevant position can repeatedly go out through rest point information in a long time
It is existing, which is defined as client region.
(4) trip end points
The starting point or the point of arrival that trip end points, that is, vehicle is once gone on a journey, according to the relationship of itself and home-delivery center and client
Two classes, i.e. home-delivery center's endpoint and client's endpoint can be divided into again.Wherein, home-delivery center's endpoint refers to generation in area, home-delivery center
Trip end points within the scope of domain, and client's endpoint refers to the trip end points occurred within the scope of client region.
(5) trip chain locus
Trip chain locus refers to that vehicle completes a Trip chain and is formed by track of vehicle.It in real life, can be close
Seemingly regard corresponding vehicle GPS track as trip chain locus.
A kind of city distribution vehicle driving chain recognition methods based on GPS of the present invention comprising following steps:
S1, it is identified through rest point: obtaining vehicle GPS point data and vehicle GPS point data is pre-processed, distinguish vehicle
Temporary parking point in GPS point data and through rest point；
S2, home-delivery center and client region identification: the region that stop over point quantity is greater than dispatching stop number of thresholds is known
It Wei not home-delivery center；It is client region by the region recognition that stop over point quantity is greater than stop number of thresholds；
S3, trip end points identification: trip end points are made of home-delivery center's endpoint and client's endpoint；Stop over point is temporally suitable
Sequence arrangement, will be located within the scope of home-delivery center and upper one or next stop over point are located at client region range in time adjacent segments
Interior is identified as home-delivery center's endpoint through rest point；Will be located at client region within the scope of and it is adjacent it is next through rest point in home-delivery center
Client's endpoint is identified as through rest point in range or in different clients regional scope；
S4, Trip chain identification: trip end points are sequentially arranged, successively identify home-delivery center's endpoint, client's endpoint
With adjacent next home-delivery center's endpoint, using home-delivery center's endpoint as Trip chain starting point, client's endpoint as Trip chain among
Node, adjacent next home-delivery center's endpoint are as Trip chain terminal, and successively link is a Trip chain of vehicle, according to this
Method successively identifies all Trip chains；
S5, Trip chain track identification: searching all GPS points within the scope of a Trip chain, and a combination thereof constitutes one and goes out
Row chain locus successively identifies all trip chain locus.
Preferably, the GPS point data include license plate, vehicle location and velocity information.
Preferably, described that the processing method and data wander that pretreatment includes shortage of data are carried out to vehicle GPS point data
Processing method.
If the processing method of the shortage of data includes: certain vehicle day data, missing is more, directly deletes the vehicle
Same day GPS point data supplement data using gliding smoothing method method if shortage of data is less；
If the processing method of the data wander includes: that data wander is more, drift data is directly rejected；If data are floated
It moves less, then ignores and be not processed.
Further, a kind of city distribution vehicle driving chain characteristic recognition method based on GPS of the present invention, above-mentioned
It further include the identification of temporal characteristics index, the knowledge of space characteristics index on the basis of city distribution vehicle driving chain identification based on GPS
At least one of not and operation characteristic index identifies.
Preferably, the temporal characteristics index identification includes the identification of single unit vehicle single travel time, single residence time
At least one of identification and the identification of single Trip chain total time, single travel time complete what primary trip was spent by vehicle
Time, the single residence time be vehicle since reaching certain client to leaving cut-off the time it takes, when single Trip chain is total
Between total time for spending of a Trip chain completed by vehicle.
Preferably, the space characteristics index identification includes the identification of single trip distance, the identification of trip chain length and goes out
At least one of row chain chain length identification, single trip distance refer to that vehicle completes the travelled path length of primary trip, out
Row chain length refers to that vehicle completes the total length that a Trip chain is travelled, and Trip chain chain length refers to vehicle in a Trip chain
The total degree of trip.
Preferably, operation characteristic index identification include the average speed of single trip, Trip chain average speed with
And at least one of Trip chain quantity, single trip average speed refer to that vehicle completes the average speed once gone on a journey, trip
Chain average speed refers to that vehicle completes the average speed of a Trip chain, and Trip chain quantity refers to the trip completed in vehicle one day
Chain total amount.
On the other hand, the invention discloses a kind of computer equipment, which includes memory, processor and deposits
Store up the computer program that can be run on a memory and on a processor, the realization when computer program is loaded on processor
The city distribution vehicle driving chain recognition methods based on GPS, or realize the city distribution vehicle based on GPS
Trip chain characteristic recognition method.
The utility model has the advantages that compared with prior art, the invention has the benefit that
(1) can city distribution vehicle mass GPS data be carried out with the processing such as shortage of data and data wander, obtain vehicle
Trip GPS point data；
(2) city distribution vehicle driving chain is identified based on GPS data, it, can be more accurate compared to traditional data type
Identify distribution vehicle Trip chain in ground；
It (3) can be more fine, accurate and full on the basis of accurately identifying distribution vehicle Trip chain based on GPS data
Identify to face vehicle driving feature；
(4) city distribution vehicle driving temporal characteristics, space characteristics and operation characteristic can relatively accurately be identified, for into
One-step optimization city distribution scheme lay a good foundation.
(5) according to the Trip chain of identification and Trip chain feature, urban traffic blocking, air can be improved by effectively planning
Pollution provides rationally effective Trip chain planning for enterprise's city distribution, has good Social benefit and economic benefit.
Detailed description of the invention
Fig. 1 is the flow diagram of a kind of city distribution vehicle driving chain of the present invention and its characteristic recognition method.
Specific embodiment
Below in conjunction with attached drawing 1, the present invention is further illustrated.
First, vehicle GPS data is acquired.City distribution vehicle GPS data mainly include license plate number, position (longitude, latitude
Degree), time, the information such as speed and direction, data format is as shown in table 1, and city distribution vehicle GPS data instance is as shown in table 2.
Different vehicle GPS data upload frequencies are not quite similar, and calculate if uploading a data by 30 seconds, each car can produce daily
2880 records.
1 city distribution vehicle GPS data of table
2 city distribution vehicle GPS data instance of table
Secondly, GPS data is pre-processed and is stored in GPS point tables of data.Data prediction is to improve number
Work, the data predictions such as reorganization, cleaning, the conversion carried out according to Mining Quality and data digging efficiency to data are main
Including data scrubbing, data integration, data transformation and four part of data regularization.Wherein data scrubbing mainly to missing data and
The processing of noise data；Multiple data sources are carried out unification by data integration；Data transformation is exactly to convert data to suitable digging
The form of pick；Data regularization i.e. do not influence excavate under the premise of by cluster, delete the modes such as redundancy feature come to data into
The operation of row reduction.
City distribution vehicle GPS data prediction includes: using more method
1) shortage of data is handled.If there are a wide range of deletion conditions (as missing GPS for certain vehicle day GPS data
The ratio that time is greater than the setting of summary journal time (one day start recording time recorded the time to end) (is traditionally arranged to be
30%) vehicle same day GPS data), is then directly deleted；It, can be using the methods of gliding smoothing method if shortage of data is less
Data are supplemented.
2) data wander is handled.It is larger for data wander that (such as two continuous GPS point linear distances are (according to longitude and latitude
Calculate) it is greater than maximum travelling speed (generally taking 120km/h) * record period (determining according to equipment) * error coefficient (general setting
For 2)) the case where, it directly rejects drift data and data is supplemented using the methods of gliding smoothing method；For lesser number
According to drift, because it belongs to normal systematic error, therefore do not make specially treated.
As shown in Figure 1, the embodiment of the present invention provides a kind of city distribution vehicle driving chain recognition methods, including following step
It is rapid:
S1, identification are through rest point.To it is above-mentioned obtained vehicle GPS point data and vehicle GPS point data pre-processed after,
It distinguishes the temporary parking point in vehicle GPS point data and is recorded through rest point, and to stop over point；Distinguish through rest point with face
When stop method first is that comparing the length of down time.It stops in temporary parking point, such as when equal red lights, vehicle is in
Idling mode, down time are shorter；And through rest point, such as in Customer Location, the long period is generally required at this time to unload, vehicle one
As be in flameout state, down time is longer.If being denoted as T through rest point and temporary parking point critical time for distinguishingthresh, value
Generally determined by the most short residence time in Customer Location.
For the single unit vehicle GPS point data being sequentially arranged, it is described as follows, passes through through rest point recognition methods
This method operates GPS point tables of data, and data result is recorded in stop over point data table.
Based on crash time TthreshThrough rest point recognition methods:
S2, identification home-delivery center and client region.
By stop over point quantity be greater than dispatching stop number of thresholds region recognition be home-delivery center, and to home-delivery center into
Row record；
It is client region by the region recognition that stop over point quantity is greater than stop number of thresholds, and client region is remembered
Record；
One dispensing vehicle it is discrete and irregular through rest point, be difficult to identify that the different properties through rest point, but more than more days
Vehicle has certain rule through rest point in spatial distribution, i.e., as a whole the distribution through rest point be it is more dispersed,
But it multiple in small region is concentrated in together through rest point from the point of view of part.Home-delivery center is the main Rendezvous Point of vehicle,
Vehicle is loaded and unloaded or is stopped in home-delivery center, is necessarily led to largely through rest point information, therefore the region that vehicle is most intensive through rest point
As home-delivery center.Client, that is, delivery point, vehicle need to stop by customer requirement in specified landing place after reaching client, and
Landing place is usually fixed for same client, thus in a long time relevant position can be multiple through rest point information
Occur.
The present embodiment provides a kind of Trip chain recognizers of only one home-delivery center.For convenience, it is assumed that in dispatching
The heart and client region are border circular areas, and the center of circle is home-delivery center's point and client's point respectively, and the home-delivery center and client's point are
It is existing through rest point.A temporary data table is first created, for recording possible home-delivery center's point and client's point information, including
Number, longitude, latitude, stop over point quantity tetra- fields of Num in peripheral extent；In addition, the symbol description occurred in method such as table 3
It is shown.
1 symbol description of table
Stop over point data table operate and result is output to distribution point tables of data, specific recognition methods is described as follows:
By the position of the available home-delivery center's point of above method and client's point, then home-delivery center is with home-delivery center
Point is the center of circle, L1For the border circular areas of radius, client region is the L using client's point as the center of circle2For the border circular areas of radius.
S3, identification trip end points.
Stop over point is sequentially arranged, will be located within the scope of home-delivery center and upper one or next in time adjacent segments
A stop over point, which is located within the scope of client region, is identified as home-delivery center's endpoint through rest point, and remembers to home-delivery center's endpoint
Record；
To be located within the scope of client region and it is adjacent it is next through rest point within the scope of home-delivery center or different clients region
It is identified as client's endpoint through rest point in range, and client point is recorded；
According to definition, trip end points have the property that each trip end points necessarily through rest point, and each trip end points
Necessarily within the scope of home-delivery center or client region.But due to be not the point of home-delivery center or client region range all
It is trip end points, such as in the service process of client, vehicle may repeatedly convert parking stall since unloading needs
Set, thus generate it is multiple through rest point, wherein only first through rest point be trip end points.The identification process of trip end points is needed
Be divided into two steps: the first step is that trip end points to be selected are identified from through rest point, second step be then from trip end points to be selected into
One step identifies trip end points.Wherein the recognition methods of trip end points to be selected is as follows:
Identify that same home-delivery center or client region are it is possible that multiple trips to be selected by trip end points method to be selected
Endpoint.Therefore it also needs multiple trip end points to be selected to same home-delivery center or client region to screen, determines specific
Trip end points.Specific method method is as follows:
S4, identification Trip chain.Identify that the specific method is as follows for distribution vehicle Trip chain:
Trip end points are sequentially arranged, successively identify home-delivery center's endpoint, client's endpoint and adjacent next are matched
Center endpoint is sent, using home-delivery center's endpoint as Trip chain starting point, client's endpoint as Trip chain intermediate node, adjacent next
Home-delivery center's endpoint is as Trip chain terminal, and successively link is a Trip chain of vehicle, successively identifies in the method
All Trip chains simultaneously record Trip chain；
S5, identification trip chain locus, search all GPS points within the scope of a Trip chain, and a combination thereof constitutes one and goes out
Row chain locus successively identifies all trip chain locus and is recorded.
Trip chain locus includes the relevant informations such as the tracing point of Trip chain, trip end points and single trip, therefore is gone out
The recognizer of row chain locus needs simultaneously to operate multiple tables.The Trip chain track recognizing method of vehicle is as follows:
Further, the feature of the embodiment of the invention also discloses a kind of city distribution vehicle driving chain based on above-mentioned GPS
Recognition methods, this method further include that temporal characteristics index identifies, space characteristics refer to after identifying city distribution vehicle driving chain
One of mark is not and operation characteristic index identifies.
Wherein:
(1) temporal characteristics identify
When city distribution vehicle driving chain temporal characteristics index mainly includes single unit vehicle single travel time, single stop
Between and single Trip chain total time.
A1. the single travel time
The single travel time is that vehicle completes primary trip the time it takes, can be by Trip chain tables of data or trip
Chain locus tables of data obtains.Single travel time formula is expressed as follows:
Wherein,For vehicle k in the jth time trip of Trip chain i the time it takes；For Trip chain tables of data
At the beginning of+1 trip end points of jth of middle i-th Trip chain of vehicle k；Go out for vehicle k i-th in Trip chain tables of data
The end time of j-th of trip end points of row chain.
B1. the single residence time
The single residence time is that since vehicle end the time it takes to exiting to next client reaching certain client,
It can equally be obtained by Trip chain tables of data or Trip chain track data table.Single residence time formula is expressed as follows:
Wherein,For vehicle k j-th of client of Trip chain i the single residence time；For Trip chain tables of data
The end time of+1 trip end points of jth of middle i-th Trip chain of vehicle k；For vehicle k i-th in Trip chain tables of data
At the beginning of+1 trip end points of jth of Trip chain.
C1. single Trip chain total time
Single Trip chain total time is completed the total time that a Trip chain is spent by vehicle, can pass through Trip chain data
Perhaps Trip chain track data table is obtained or is obtained by single travel time and single residence time table.Single trip
Chain total time, formula was expressed as follows:
Wherein, tikThe total travel time spent by vehicle in Trip chain i.
The other times feature of Trip chain can be analyzed by three above essential characteristic and be obtained, such as the list of all vehicles
Secondary travel time distribution, Trip chain total time distribution of all vehicles etc..
(2) space characteristics identify
City distribution vehicle driving chain space characteristic index mainly includes single trip distance, trip chain length and trip
Chain chain length.
A2. single trip distance
Single trip distance refers to that vehicle completes the travelled path length of primary trip.Single trip distance can pass through
Trip chain track data table obtains, and expression formula is as follows:
Wherein, lijkFor the single trip distance of i-th Trip chain jth time trip of kth vehicle；vijknFor chain locus of going on a journey
The speed of n-th of GPS point of i-th Trip chain jth time trip of kth vehicle in tables of data；tijkn+1,tijknRespectively Trip chain
The time of (n+1)th and n-th GPS point of i-th Trip chain jth time trip of kth vehicle in track data table.
B2. it goes on a journey chain length
Trip chain length refers to that vehicle completes the total length that a Trip chain is travelled.Trip chain length can be gone out by single
Row distance is cumulative to be obtained, and expression is as follows:
Wherein, likFor chain length of going on a journey.
C2. Trip chain chain length
Trip chain chain length refers to the total degree that vehicle is gone on a journey in a Trip chain, has reacted that vehicle is primary to dispense task institute
The number of the client of service.Trip chain chain length can be obtained by Trip chain tables of data or Trip chain track data table, expression
Formula is as follows:
Pik=pik-1
Wherein, PikFor the Trip chain chain length of i-th Trip chain of vehicle k；pikFor kth vehicle in Trip chain tables of data
The Trip chain number of nodes that i-th Trip chain is included.
The single trip distance distribution of all vehicles can be further obtained by three above Trip chain space characteristics, owned
The Trip chains space characteristics such as the Trip chain distribution of lengths of vehicle and the distribution of the Trip chain chain length of all vehicles.
(3) operation characteristic identifies
City distribution vehicle driving chain operation characteristic mainly includes the average speed of the average speed of single trip, Trip chain
And Trip chain quantity.
A3. single trip average speed
Single trip average speed refers to that vehicle completes the ratio between the time of the travelled length and cost of primary trip, can be with
It is obtained by single trip distance and single travel time, specific formula is as follows:
Wherein, vijkFor single trip average speed.
B3. Trip chain average speed
Trip chain average speed is equal to trip the ratio between chain length and single Trip chain total travel time, specific formula is as follows:
Wherein, VikFor Trip chain average speed.
C3. Trip chain quantity
Trip chain quantity refers to the Trip chain total amount completed in vehicle one day, can be by Trip chain tables of data or Trip chain
Track data table obtains, specific formula is as follows:
Mk=mk
Wherein, MkFor the Trip chain quantity completed in kth vehicle one day；mkFor the trip of kth vehicle in Trip chain tables of data
Chain quantity.
Equally, by the trip average velocity distributions of the available such as all vehicles of the basic operation characteristic of three above,
The Trip chains operation characteristic such as the Trip chain average velocity distributions of all vehicles and the Trip chain distributed number of all vehicles.
Based on the same technical idea, the embodiment of the invention also provides a kind of computer equipment, the computer equipment packets
The computer program that includes memory, processor and storage on a memory and can run on a processor, the computer program
The city distribution vehicle driving chain recognition methods based on GPS is realized when being loaded on processor, or described in realization
City distribution vehicle driving chain characteristic recognition method based on GPS.
The above content is a further detailed description of the present invention in conjunction with specific preferred embodiments, and it cannot be said that
Specific implementation of the invention is only limited to these instructions, and for those skilled in the art to which the present invention belongs, is not being taken off
Under the premise of from present inventive concept, a number of simple deductions or replacements can also be made, all shall be regarded as belonging to protection of the invention
Range.
Claims (8)
1. a kind of city distribution vehicle driving chain recognition methods based on GPS, characterized by the following steps:
(1) it obtains vehicle GPS point data and vehicle GPS point data is pre-processed, distinguish interim in vehicle GPS point data
Stop and through rest point；
It (2) is home-delivery center by the region recognition that stop over point quantity is greater than dispatching stop number of thresholds, stop over point quantity is big
In stop number of thresholds region recognition be client region；
(3) stop over point is sequentially arranged, will be located within the scope of home-delivery center and upper one or next through rest point adjacent
Home-delivery center's endpoint is identified as through rest point within the scope of client region；It will be located within the scope of client region and adjacent next
Client's endpoint is identified as through rest point within the scope of home-delivery center or in different clients regional scope through rest point；
(4) trip end points are sequentially arranged, successively identify home-delivery center's endpoint, client's endpoint and adjacent next dispatching
Center endpoint, using home-delivery center's endpoint as Trip chain starting point, client's endpoint as Trip chain intermediate node, adjacent next match
Send center endpoint as Trip chain terminal, successively link is a Trip chain of vehicle, successively identifies institute in the method
There is Trip chain；
(5) all GPS points within the scope of a Trip chain are searched, a combination thereof constitutes a trip chain locus, successively identifies institute
There is trip chain locus.
2. a kind of city distribution vehicle driving chain recognition methods based on GPS according to claim 1, it is characterised in that:
The GPS point data include license plate, vehicle location and velocity information.
3. a kind of city distribution vehicle driving chain recognition methods based on GPS according to claim 1, it is characterised in that:
It is described that carry out pretreated method to vehicle GPS point data include the processing method of shortage of data and the processing side of data wander
Method；
If the processing method of the shortage of data includes: certain vehicle day data, missing is more, on the day of directly deleting the vehicle
GPS point data supplement data using gliding smoothing method method if shortage of data is less；
If the processing method of the data wander includes: that data wander is more, drift data is directly rejected；If data wander compared with
It is few, then ignore and is not processed.
4. a kind of city distribution vehicle driving chain characteristic recognition method based on GPS, it is characterised in that: the method is according to power
It further include that city is matched after benefit requires a kind of described in any item city distribution vehicle driving chain recognition methods based on GPS of 1-3
Send vehicle driving chain feature identification step, the city distribution vehicle driving chain feature identification include the identification of temporal characteristics index,
At least one of the identification of space characteristics index and the identification of operation characteristic index.
5. a kind of city distribution vehicle driving chain characteristic recognition method based on GPS according to claim 4, feature exist
In: the temporal characteristics index identification includes that the identification of single unit vehicle single travel time, the identification of single residence time and single go out
At least one of row chain total time identification；
The single travel time is that vehicle completes primary trip the time it takes；
The single residence time be vehicle since reaching certain client to leaving cut-off the time it takes；
The single Trip chain total time is completed the total time that a Trip chain is spent by vehicle.
6. a kind of city distribution vehicle driving chain characteristic recognition method based on GPS according to claim 4, feature exist
In: the space characteristics index identification includes the identification of single trip distance, the identification of trip chain length and the identification of Trip chain chain length
At least one of；
The single trip distance refers to that vehicle completes the travelled path length of primary trip；
The trip chain length refers to that vehicle completes the total length that a Trip chain is travelled；
The Trip chain chain length refers to the total degree that vehicle is gone on a journey in a Trip chain.
7. a kind of city distribution vehicle driving chain characteristic recognition method based on GPS according to claim 4, feature exist
In: the operation characteristic index identification includes the average speed and Trip chain quantity of the average speed of single trip, Trip chain
At least one of；
The single trip average speed refers to that vehicle completes the average speed once gone on a journey；
The Trip chain average speed refers to that vehicle completes the average speed of a Trip chain；
The Trip chain quantity refers to the Trip chain total amount completed in vehicle one day.
8. a kind of computer equipment including memory, processor and stores the meter that can be run on a memory and on a processor
Calculation machine program, which is characterized in that the computer program realizes any one of -3 institute according to claim 1 when being loaded on processor
The city distribution vehicle driving chain recognition methods based on GPS stated, or realize according to the described in any item bases of claim 4-7
In the city distribution vehicle driving chain characteristic recognition method of GPS.
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| CN110491157A (en) * | 2019-07-23 | 2019-11-22 | 中山大学 | A kind of vehicle correlating method based on parking data and bayonet data |
| CN111145573A (en) * | 2019-12-27 | 2020-05-12 | 江苏星诺信息技术有限公司 | Method for analyzing vehicle stationary points based on distance, duration and frequency aggregation of parking points |
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