CN117875814A - Dynamic uploading data-based highway freight vehicle compliance analysis method - Google Patents
Dynamic uploading data-based highway freight vehicle compliance analysis method Download PDFInfo
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Abstract
The invention discloses a highway freight vehicle compliance analysis method based on dynamic uploading data, which belongs to the technical field of highway freight supervision, and the invention constructs a truck transportation time duration rationality dynamic judgment model by integrating highway freight service credible data and dynamic uploading historical freight bill data, and the method comprises basic compliance verification, reasonable freight distance estimation, abnormal behavior conflict verification and the like, so as to further construct a highway freight vehicle whole-flow dynamic integration analysis supervision method; the analysis integration of the data under the dynamic freight bill uploading condition is realized, the problems that the conventional method only carries out discriminant analysis on a single freight bill, so that the total sample amount is small, no trusted data source is supported, the manual verification efficiency is low and the like are overcome, and the conventional road freight business supervision multi-source data fusion analysis is difficult to land are solved.
Description
Technical Field
The invention belongs to the technical field of highway freight supervision, and particularly relates to a highway freight vehicle compliance analysis method based on dynamic uploading data.
Background
Highway freight is an important industry for promoting national economy circulation, but at present, a plurality of pain points such as unbalanced supply and demand, unsmooth information circulation, complicated transaction chains, lower operation efficiency and the like still exist, and a large amount of scattered transport capacity mainly of individual drivers also brings great challenges to industry management. The freight master end has scattered freight supply, and timeliness and standardization degree are difficult to guarantee. The high dispersion of the capacity supplies makes the shippers have higher screening and matching costs, and the service capacity and performance completion degree of individual drivers are difficult to ensure, so that higher trust cost and disputes are generated between the shippers and the drivers.
The traditional supervision method only carries out discriminant analysis on a single waybill, and has the weaknesses of small sample amount, no trusted data source support, low manual verification efficiency and the like.
Disclosure of Invention
Aiming at the defects in the prior art, the method for supervising the compliance analysis of the highway freight vehicles based on the dynamic uploading data solves the problems that the conventional method only carries out discriminant analysis on a single freight bill, so that the total sample amount is small, no trusted data source is supported, and the manual verification efficiency is low, and realizes the multi-source data fusion analysis of the supervision of the highway freight services.
In order to achieve the aim of the invention, the invention adopts the following technical scheme: a highway freight vehicle compliance analysis method based on dynamically uploaded data, comprising the steps of:
s1, generating a vehicle list corresponding to a current batch of uploading bills based on dynamic uploading data;
s2, traversing a vehicle list, and checking the current compliance supervision state of the vehicle;
if the vehicle is not invocable, checking the compliance supervision state of the next vehicle;
if the operation is normal, entering a step S3;
s3, the waybills uploaded by the current vehicle in the current batch are ordered according to time, and a waybill list is obtained;
s4, traversing the waybill list, and comparing data of the waybills;
s5, carrying out compliance check on the bill amount of the freight bill through data comparison;
s6, carrying out space-time conflict detection on the waybill passing the waybill amount compliance detection;
and S7, carrying out compliance comprehensive evaluation on the current vehicle based on the space-time conflict test result to obtain a highway freight vehicle compliance analysis result.
Further, in the step S4, the method for comparing the data of the waybill specifically includes:
judging whether the current waybill has corresponding track data or ETC data or not, and failing comparison;
if yes, entering a step S5 through data comparison;
if not, a first time-space conflict event occurs, the ticket label is marked as non-invocable and pushed to a to-be-complaint ticket list.
Further, in the step S4, when the annual operation amount of the current waybill corresponding to the vehicle reaches a preset value or the annual waybill number reaches a preset value during data comparison, the current vehicle is pre-warned and tax recorded, and meanwhile, the current waybill and the relevant waybill of the current year of the vehicle are marked and are not included in the subsequent inspection.
Further, the step S5 specifically includes:
s51, calculating transport distance estimation D (i) =Min (D Straight line (i)×，D Platform (i) A) is provided; wherein D is Straight line (i) For the spherical distance from the origin of the waybill i to the centroid longitude and latitude coordinates of the end administrative district, D Platform (i) The transport mileage is uploaded;
s52, calculating ton kilometer Price (i) =fire (i)/(D (i) ×W (i)) of the waybill i according to the transportation distance estimation D (i); wherein W (i) is the tonnage of the goods, and fire (i) is the bill amount;
s53, judging whether Price (i) >1.5 XRefP is met; wherein RefP is the freight distance of the vehicle type in the current day region and the freight rate of ton and kilometer;
if yes, an abnormal amount event occurs, the ticket label is marked as non-invocable and pushed to a to-be-complaint ticket list;
if not, the waybill i passes the waybill amount compliance test, and the step S6 is entered.
Further, the step S6 specifically includes:
s61, calculating limit transportation duration ExT (i) =D (i)/80 of the waybill i; wherein D (i) is a transportation distance estimate for waybill i;
s62, searching a historical freight bill library of the freight bill i corresponding to the current day t of the vehicle, and judging whether the limit transportation accumulated duration AllExT (t) of the vehicle in the current day t in the historical freight bill library is greater than or equal to the maximum limit transportation duration upper limit value MaxDara (t);
if so, a second space-time conflict event occurs, the current freight list label is marked as non-invocable, and the current freight list label is pushed to a freight list to be complained;
if not, updating the current daily limit transportation accumulation duration AllExT (t), and incorporating the current freight note into the current vehicle history freight note library, and entering step S63;
s63, based on the updated historical freight list library, updating the minimum cumulative occupied transportation time length MinDura (t) =AllExT (t) -MaxExT (t) of t days; wherein MaxExT (t) is the maximum value of all validated waybill transportation durations on day t;
judging whether all orders of the current vehicle have been traversed; if yes, go to step S64; if not, updating the annual operation amount and annual quantity of the current vehicle, and returning to the step S61;
s64, updating the maximum limit transportation time upper limit value MaxDara (t) in the history waybill library of the current vehicle, completing the time-space conflict test of the current day t of the vehicle waybill, and carrying out the time-space conflict test of the vehicle waybill on the next waybill day until completing the time-space conflict test of the waybill on all the waybills.
Further, in the step S64, the method for updating the maximum limit transportation duration upper limit value in the historical waybill library specifically includes:
s64-1, searching a historical waybill library of the current vehicle on the t+1 day;
s64-2, judging whether the number of the historical waybills of the current vehicle on the t+1 day in the historical waybill library is 0;
if yes, updating the maximum limit transportation time upper limit value to be MaxDura (t+1) =max (0, 24- (allxext (t) -MaxDura (t))) as the updated maximum limit transportation time upper limit value;
if not, calculate ExDura (t+1) =allxxt (t) -MaxDura (t), and proceed to step S64-3; wherein ExDura (t+1) is t+1 days covering transport duration;
s64-3, judging whether (ExDura (t+1) +MinDura (t+1)) >24 is true or not;
if yes, a fifth space-time conflict event occurs, the current freight note label is not invocable, the current freight note label is pushed to a freight note list to be complained, maxDara (t+1) is reset to be 24, and the updated maximum limit transportation duration upper limit value is used;
simultaneously updating the AllExT (t) in the history manifest to be AllExT (t) -MaxExT (t), wherein MaxExT (t) = { maximum value of all validated valid manifest transportation duration on day t } and Mindura (t) = AllExT (t) -MaxExT (t);
if not, maxDura (t+1) =24-ExDura (t+1) is updated as the updated maximum limit transportation time upper limit value.
Further, in the step S64-2, when MaxDura (t+1) is 0, the maximum limit transportation duration corresponding to the next waybill day is sequentially calculated until MaxDura (t+j) on the (t+j) day is not 0, where j represents that MaxDura (t+j) on the j-th day on the basis of t day is not 0, as the updated maximum limit transportation duration in the history waybill library.
Further, the step S7 specifically includes:
s71, calculating the proportion of the number of the freight notes passing the space-time conflict test to the total freight number in three months of the current vehicle, and defining the proportion as a vehicle comprehensive compliance score CarScore;
s72, calculating the proportion of the sum of the bill amounts of the bill numbers which do not pass the space-time conflict test in the last three months of the current vehicle to the total bill amount, and defining the proportion as the vehicle compliance abnormal amount to the ratio AbFarer;
s73, setting a comprehensive compliance passing threshold lambda of the vehicle according to the vehicle compliance abnormal amount ratio AbFarer c ；
S74, passing the comprehensive compliance of the vehicle through a threshold lambda c The compliance of the highway freight vehicle is determined as compared to the vehicle composite compliance score, carrcore.
Further, in the step S73, λ is determined when there is no history monitoring reference data c Initializing and setting a first threshold value;
when there is historical monitoring reference data and AbFarre is smaller than the first preset value, lambda will still be c Setting a first threshold value;
when there is historical monitoring reference data and AbFarer is between the first preset value and the second preset value, lambda is calculated c Set to a second threshold;
when there is historical monitoring reference data and AbFarre is between the second preset value and the third preset value, lambda is calculated c Setting a third threshold;
when there is historical monitoring reference data and AbFarre is greater than a third preset value, lambda is calculated c Is set to be fourthA threshold value.
Further, the first threshold value, the second threshold value, the third threshold value and the fourth threshold value are sequentially increased; the first preset value, the second preset value and the third preset value are sequentially increased.
The beneficial effects of the invention are as follows:
(1) The invention constructs a dynamic judgment model for the rationality of the freight transportation time length of the truck by integrating the credible data of the freight transportation service of the highway and dynamically uploading the historical freight bill data, and the dynamic judgment model comprises basic compliance verification, reasonable freight distance estimation, abnormal behavior conflict verification and the like, so as to further construct a full-flow dynamic integration analysis and supervision method of the freight transportation vehicle of the highway.
(2) The invention realizes the analysis and integration of the data under the condition of uploading dynamic freight bill, and solves the problems of small total sample amount, no trusted data source support, low manual verification efficiency and the like caused by the fact that the traditional method only carries out discriminant analysis on a single freight bill, and the problem of difficult landing of the multi-source data fusion analysis in the supervision of highway freight transportation business is solved.
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FIG. 1 is a flow chart of a method for analyzing compliance of a highway freight vehicle based on dynamically uploaded data.
Detailed Description
The following description of the embodiments of the present invention is provided to facilitate understanding of the present invention by those skilled in the art, but it should be understood that the present invention is not limited to the scope of the embodiments, and all the inventions which make use of the inventive concept are protected by the spirit and scope of the present invention as defined and defined in the appended claims to those skilled in the art.
The embodiment of the invention provides a highway freight vehicle compliance analysis method based on dynamic uploading data, which is shown in fig. 1 and comprises the following steps:
s1, generating a vehicle list corresponding to a current batch of uploading bills based on dynamic uploading data;
s2, traversing a vehicle list, and checking the current compliance supervision state of the vehicle;
if the vehicle is not invocable, checking the compliance supervision state of the next vehicle;
if the operation is normal, entering a step S3;
s3, the waybills uploaded by the current vehicle in the current batch are ordered according to time, and a waybill list is obtained;
s4, traversing the waybill list, and comparing data of the waybills;
s5, carrying out compliance check on the bill amount of the freight bill through data comparison;
s6, carrying out space-time conflict detection on the waybill passing the waybill amount compliance detection;
and S7, carrying out compliance comprehensive evaluation on the current vehicle based on the space-time conflict test result to obtain a highway freight vehicle compliance analysis result.
In step S1 of the embodiment of the present invention, the dynamically uploaded data is road freight trusted service data, including, for example, traffic department communication center, road network center, union pay data, third party real inspection data, etc., and vehicle history waybill data.
In step S2 of the embodiment of the present invention, when the compliance supervision state of the vehicles in the vehicle list is traversed, the situation that the vehicle is not invocable includes a penalty due to history non-compliance, annual business amount, or the allowable number of invoices has reached an upper limit, and the like.
In step S3 of the embodiment of the present invention, for the waybill data uploaded by the vehicle, the waybill belonging to the vehicle on each shipping date is traversed successively according to the shipping date, when there are multiple waybills on a certain shipping date, the waybills are sequenced successively according to the actual uploading time, if n waybills are counted on the same date t (shipping date), the n waybills are traversed,
in step S4 of the embodiment of the present invention, the method for comparing the data of the waybill specifically includes:
judging whether the current waybill has corresponding track data or ETC data or not, and failing comparison;
if yes, entering a step S5 through data comparison;
if not, a first time-space conflict event occurs, the ticket label is marked as non-invocable and pushed to a to-be-complaint ticket list.
In step S4 of the present embodiment, other situations, such as "inquiring that there is corresponding track data or ETC data and the comparison is successful", are also included in the data comparison; and inquiring no corresponding track data or ETC data, and when the annual operation amount of the corresponding vehicle of the current waybill reaches a preset value or the annual waybill number reaches a preset value, carrying out early warning and tax filing on the current vehicle, and marking the current waybill and the relevant waybill of the current year of the vehicle without including subsequent inspection. One example of annual business amount is 50 ten thousand yuan, and one example of annual quantity is 1000.
The step S5 of the embodiment of the invention specifically comprises the following steps:
s51, calculating transport distance estimation D (i) =Min (D Straight line (i)×，D Platform (i) A) is provided; wherein D is Straight line (i) For the spherical distance from the origin of the waybill i to the centroid longitude and latitude coordinates of the end administrative district, D Platform (i) The transport mileage is uploaded;
in the present embodiment, for D Straight line (i) If the starting and ending administrative areas are the same, the D straight line (i) is the equivalent radius of the area of the administrative area;
s52, calculating ton kilometer Price (i) =fire (i)/(D (i) ×W (i)) of the waybill i according to the transportation distance estimation D (i); wherein W (i) is the tonnage of the goods, and fire (i) is the bill amount;
s53, judging whether Price (i) >1.5 XRefP is met; the RefP is the vehicle model distance, ton, kilometer and freight rate of the current region, and the vehicle model distance, ton, kilometer and freight rate table of the related region is updated and obtained from a network, and the update is maintained every day or every week;
if yes, an abnormal amount event occurs, the ticket label is marked as non-invocable and pushed to a to-be-complaint ticket list;
if not, the waybill i passes the waybill amount compliance test, and the step S6 is entered.
The step S6 of the embodiment of the invention specifically comprises the following steps:
s61, calculating limit transportation duration ExT (i) =D (i)/80 of the waybill i; wherein D (i) is a transportation distance estimate for waybill i;
s62, searching a historical freight bill library of the freight bill i corresponding to the current day t of the vehicle, and judging whether the limit transportation accumulated duration AllExT (t) of the vehicle in the current day t in the historical freight bill library is greater than or equal to the maximum limit transportation duration upper limit value MaxDara (t);
if so, a second space-time conflict event occurs, the current freight list label is marked as non-invocable, and the current freight list label is pushed to a freight list to be complained;
if not, updating the current daily limit transportation accumulation duration AllExT (t), and incorporating the current freight note into the current vehicle history freight note library, and entering step S63;
s63, based on the updated historical freight list library, updating the minimum cumulative occupied transportation time length MinDura (t) =AllExT (t) -MaxExT (t) of t days; wherein MaxExT (t) is the maximum value of all validated waybill transportation durations on day t;
judging whether all orders of the current vehicle have been traversed; if yes, go to step S64; if not, updating the annual operation amount and annual quantity of the current vehicle, and returning to the step S61;
s64, updating the maximum limit transportation time upper limit value MaxDara (t) in the history waybill library of the current vehicle, completing the time-space conflict test of the current day t of the vehicle waybill, and carrying out the time-space conflict test of the vehicle waybill on the next waybill day until completing the time-space conflict test of the waybill on all the waybills.
In step S62 of this embodiment, for the historical waybill library, the historical waybill library includes the maximum current date transportation time limit MaxDura (t), the initial value is 24, but if the historical waybill transportation time before t days affects t days, the upper limit value will be updated in the system immediately, and in the limit state, maxDura (t) =0, i.e. the current date transportation time is completely covered by the previous waybill, and in the normal case, no other new waybill may appear, i.e. a time-space conflict event is triggered.
In step S62 of the present embodiment, the second space-time conflict event refers to an event that is impossible when the estimated cumulative transportation time of the existing daily waybill exceeds the time of day and an additional daily waybill appears.
In step S63 of this embodiment, the MinDura (t) obtained by calculation is used for the t-day forward time length rationality comparison, and MaxDura (t) is understood as the backward time length rationality comparison.
In step S64 of this embodiment, the method for updating the maximum limit transportation duration upper limit value in the history waybill library specifically includes:
s64-1, searching a historical waybill library of the current vehicle on the t+1 day;
s64-2, judging whether the number of the historical waybills of the current vehicle on the t+1 day in the historical waybill library is 0;
if yes, updating the maximum limit transportation time upper limit value to be MaxDura (t+1) =max (0, 24- (allxext (t) -MaxDura (t))) as the updated maximum limit transportation time upper limit value;
if not, calculate ExDura (t+1) =allxxt (t) -MaxDura (t), and proceed to step S64-3; wherein ExDura (t+1) is t+1 days covering transport duration;
s64-3, judging whether (ExDura (t+1) +MinDura (t+1)) >24 is true or not;
if yes, a fifth space-time conflict event occurs, the current freight note label is not invocable, the current freight note label is pushed to a freight note list to be complained, maxDara (t+1) is reset to be 24, and the updated maximum limit transportation duration upper limit value is used;
simultaneously updating the AllExT (t) in the history manifest to be AllExT (t) -MaxExT (t), wherein MaxExT (t) = { maximum value of all validated valid manifest transportation duration on day t } and Mindura (t) = AllExT (t) -MaxExT (t);
if not, maxDura (t+1) =24-ExDura (t+1) is updated as the updated maximum limit transportation time upper limit value.
In step S64-2 of the present embodiment, max (A, B) means taking the maximum value of A and B, and thus, max (0, 24- (AllExT (t) -MaxDara (t))) means taking the larger value of 0 and "24- (AllExT (t) -MaxDara (t)))"; exDura (t+1) is t+1 days to cover the transportation duration, i.e. the time length of the transportation behavior of the vehicle on (t+1) days, and if 12 hours are deduced to be in a transportation state in 24 hours, exDura (t+1) is 12.
In step S64-2 of this embodiment, when MaxDura (t+1) is 0, sequentially calculating the maximum limit transportation duration corresponding to the next waybill day until MaxDura (t+j) on (t+j) day is not 0, to obtain the updated maximum limit transportation duration in the history waybill library, where j represents that MaxDura (t+j) on the j-th day on the basis of t day is not 0; indicating that all ext (t) completely covered t+1 days and exceeded, further comparing t+2, t+3, etc. and so on. Based on this, the following loop update method is established:
cycle a (j=2, 3.):
a-1, updating t+j day cover transport duration ExDura (t+j) =AllExT (t) -MaxDara (t) -24× (j-1);
a-2, exDura (t+j) >24
a-2-1, if the historical waybill number Order (t+j) >0, a third time-space conflict event (the time-space conflict between the waybill with the maximum time of t day and the waybill with the time of t+j) occurs, and the waybill (namely the waybill corresponding to MaxExT (t)) is marked as a non-invocable (the third time-space conflict event of the vehicle exists) and pushed to a to-be-complained waybill list;
resetting MaxDara (t+1), maxDara (t+2) to MaxDara (t+j-1) to 24;
updating allxext (t) =allxext (t) -MaxExT (t);
MaxExT (t) = { maximum of all validated waybill transportation durations on day t }, minDura (t) = allxext (t) -MaxExT (t), and the cycle is terminated;
a-2-2, if Order (t+j) =0, updating MaxDura (t+j) =max (0, 24-ExDura (t+j)), if MaxDura (t+j) >0, ending the cycle, otherwise j++, jumping into the a-1 cycle and continuing;
a-3, if ExDura (t+j) <=24:
a-3-1, if Order (t+j) >0, and (MinDura (t+j) +ExDura (t+j)) >24, a fourth time-space conflict event 4 (a time-space conflict between a maximum time-length waybill of t day and an existing waybill of t+j day) occurs, and the waybill (i.e. the waybill corresponding to MaxExT (t)) is marked as an invocable (a fourth time-space conflict event of a vehicle exists) and pushed to a list of to-be-complained waybills;
resetting MaxDara (t+1), maxDara (t+2) to MaxDara (t+j-1) to 24;
update allxext (t) =allxext (t) -MaxExT (t),
MaxExT (t) = { maximum of all validated waybill transportation durations on day t }, minDura (t) = allxext (t) -MaxExT (t), and the cycle is terminated;
a-3-2, if Order (t+j) >0, and (MinDura (t+j) +exdura (t+j)) < = 24, update MaxDura (t+j) = 24-ExDura (t+j), terminate the cycle;
a-3-3, if Order (t+j) =0, maxDura (t+j) =24-ExDura (t+j) is updated, and the cycle is terminated.
In step S64-3 of this embodiment, the fifth space-time conflict event refers to the space-time conflict between the maximum time length of t day and the existing time length of t+1 day, and the time label of the time length of the ticket of MaxExT (t) is not invocable and is pushed to the list of the to-be-complained time length.
The step S7 of the embodiment of the invention specifically comprises the following steps:
s71, calculating the proportion of the number of the freight notes passing the space-time conflict test to the total freight number in three months of the current vehicle, and defining the proportion as a vehicle comprehensive compliance score CarScore;
s72, calculating the proportion of the sum of the bill amounts of the bill numbers which do not pass the space-time conflict test in the last three months of the current vehicle to the total bill amount, and defining the proportion as the vehicle compliance abnormal amount to the ratio AbFarer;
s73, setting a comprehensive compliance passing threshold lambda of the vehicle according to the vehicle compliance abnormal amount ratio AbFarer c ；
S74, passing the comprehensive compliance of the vehicle through a threshold lambda c The compliance of the highway freight vehicle is determined as compared to the vehicle composite compliance score, carrcore.
In step S73 of the present embodiment, λ is determined when there is no history monitoring reference data c Initializing and setting a first threshold value;
when there is historical monitoring reference data and AbFarre is smaller than the first preset value, lambda will still be c Setting a first threshold value;
when there is historical monitoring reference data and AbFarer is between the first preset value and the second preset value, lambda is calculated c Set to a second threshold;
when there is historical monitoring reference data and AbFarre is between the second preset value and the third preset value, lambda is calculated c Setting a third threshold;
when there is historical monitoring reference data and AbFarre is greater than a third preset value, lambda is calculated c Is arranged asAnd a fourth threshold.
In this embodiment, the vehicle integrated compliance score CarScore is greater than the vehicle integrated compliance pass threshold λ c Namely, meets the compliance requirement of the highway freight vehicles.
In the present embodiment, the first threshold value, the second threshold value, the third threshold value, and the fourth threshold value are sequentially increased; the first preset value, the second preset value and the third preset value are sequentially increased. Specifically, as one example in the present embodiment, the first threshold value, the second threshold value, the third threshold value, and the fourth threshold value are 0.6, 0.8, 0.9, and 0.99 in this order; the first preset value, the second preset value and the third preset value are sequentially 1%, 5% and 10%.
The principles and embodiments of the present invention have been described in detail with reference to specific examples, which are provided to facilitate understanding of the method and core ideas of the present invention; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present invention, the present description should not be construed as limiting the present invention in view of the above.
Those of ordinary skill in the art will recognize that the embodiments described herein are for the purpose of aiding the reader in understanding the principles of the present invention and should be understood that the scope of the invention is not limited to such specific statements and embodiments. Those of ordinary skill in the art can make various other specific modifications and combinations from the teachings of the present disclosure without departing from the spirit thereof, and such modifications and combinations remain within the scope of the present disclosure.
Claims (10)
1. A highway freight vehicle compliance analysis method based on dynamically uploaded data, comprising the steps of:
s1, generating a vehicle list corresponding to a current batch of uploading bills based on dynamic uploading data;
s2, traversing a vehicle list, and checking the current compliance supervision state of the vehicle;
if the vehicle is not invocable, checking the compliance supervision state of the next vehicle;
if the operation is normal, entering a step S3;
s3, the waybills uploaded by the current vehicle in the current batch are ordered according to time, and a waybill list is obtained;
s4, traversing the waybill list, and comparing data of the waybills;
s5, carrying out compliance check on the bill amount of the freight bill through data comparison;
s6, carrying out space-time conflict detection on the waybill passing the waybill amount compliance detection;
and S7, carrying out compliance comprehensive evaluation on the current vehicle based on the space-time conflict test result to obtain a highway freight vehicle compliance analysis result.
2. The method for analyzing the compliance of a highway freight vehicle based on dynamically uploaded data according to claim 1, wherein in the step S4, the method for comparing the data of the waybill specifically comprises the following steps:
judging whether the current waybill has corresponding track data or ETC data or not, and failing comparison;
if yes, entering a step S5 through data comparison;
if not, a first time-space conflict event occurs, the ticket label is marked as non-invocable and pushed to a to-be-complaint ticket list.
3. The method according to claim 2, wherein in the step S4, when the year operation amount of the current bill corresponding to the vehicle reaches a preset value or the number of year bills reaches a preset value, the current vehicle is warned and tax is recorded, and the current bill and the relevant year bill of the vehicle are marked and are not included in the subsequent test.
4. The method for analyzing the compliance of a highway freight vehicle based on dynamically uploaded data according to claim 1, wherein the step S5 is specifically:
s51, calculatingTransportation distance estimation D (i) =min (D Straight line (i)，D Platform (i) A) is provided; wherein D is Straight line (i) For the spherical distance from the origin of the waybill i to the centroid longitude and latitude coordinates of the end administrative district, D Platform (i) The transport mileage is uploaded;
s52, calculating ton kilometer Price (i) =fire (i)/(D (i) ×W (i)) of the waybill i according to the transportation distance estimation D (i); wherein W (i) is the tonnage of the goods, and fire (i) is the bill amount;
s53, judging whether Price (i) >1.5 XRefP is met; wherein RefP is the freight distance of the vehicle type in the current day region and the freight rate of ton and kilometer;
if yes, an abnormal amount event occurs, the ticket label is marked as non-invocable and pushed to a to-be-complaint ticket list;
if not, the waybill i passes the waybill amount compliance test, and the step S6 is entered.
5. The method for analyzing the compliance of a highway freight vehicle based on dynamically uploaded data according to claim 1, wherein the step S6 is specifically:
s61, calculating limit transportation duration ExT (i) =D (i)/80 of the waybill i; wherein D (i) is a transportation distance estimate for waybill i;
s62, searching a historical freight bill library of the freight bill i corresponding to the current day t of the vehicle, and judging whether the limit transportation accumulated duration AllExT (t) of the vehicle in the current day t in the historical freight bill library is greater than or equal to the maximum limit transportation duration upper limit value MaxDara (t);
if so, a second space-time conflict event occurs, the current freight list label is marked as non-invocable, and the current freight list label is pushed to a freight list to be complained;
if not, updating the current daily limit transportation accumulation duration AllExT (t), and incorporating the current freight note into the current vehicle history freight note library, and entering step S63;
s63, based on the updated historical freight list library, updating the minimum cumulative occupied transportation time length MinDura (t) =AllExT (t) -MaxExT (t) of t days; wherein MaxExT (t) is the maximum value of all validated waybill transportation durations on day t;
judging whether all orders of the current vehicle have been traversed; if yes, go to step S64; if not, updating the annual operation amount and annual quantity of the current vehicle, and returning to the step S61;
s64, updating the maximum limit transportation time upper limit value MaxDara (t) in the history waybill library of the current vehicle, completing the time-space conflict test of the current day t of the vehicle waybill, and carrying out the time-space conflict test of the vehicle waybill on the next waybill day until completing the time-space conflict test of the waybill on all the waybills.
6. The method for analyzing the compliance of highway freight vehicles based on dynamically uploaded data according to claim 5, wherein in the step S64, the method for updating the maximum limit transportation time upper limit value in the historical freight bill library specifically comprises:
s64-1, searching a historical waybill library of the current vehicle on the t+1 day;
s64-2, judging whether the number of the historical waybills of the current vehicle on the t+1 day in the historical waybill library is 0;
if yes, updating the maximum limit transportation time upper limit value to be MaxDura (t+1) =max (0, 24- (allxext (t) -MaxDura (t))) as the updated maximum limit transportation time upper limit value;
if not, calculate ExDura (t+1) =allxxt (t) -MaxDura (t), and proceed to step S64-3; wherein ExDura (t+1) is t+1 days covering transport duration;
s64-3, judging whether (ExDura (t+1) +MinDura (t+1)) >24 is true or not;
if yes, a fifth space-time conflict event occurs, the current freight note label is not invocable, the current freight note label is pushed to a freight note list to be complained, maxDara (t+1) is reset to be 24, and the updated maximum limit transportation duration upper limit value is used;
simultaneously updating the AllExT (t) in the history manifest to be AllExT (t) -MaxExT (t), wherein MaxExT (t) = { maximum value of all validated valid manifest transportation duration on day t } and Mindura (t) = AllExT (t) -MaxExT (t);
if not, maxDura (t+1) =24-ExDura (t+1) is updated as the updated maximum limit transportation time upper limit value.
7. The method according to claim 6, wherein in the step S64-2, when MaxDura (t+1) is 0, the maximum limit transportation duration corresponding to the next waybill day is sequentially calculated until MaxDura (t+j) on the (t+j) day is not 0, and the maximum limit transportation duration updated in the historical waybill library is used as the maximum limit transportation duration updated in the historical waybill library, wherein j represents MaxDura (t+j) on the j-th day on the basis of t day is not 0.
8. The method for analyzing the compliance of a highway freight vehicle based on dynamically uploaded data according to claim 1, wherein the step S7 is specifically:
s71, calculating the proportion of the number of the freight notes passing the space-time conflict test to the total freight number in three months of the current vehicle, and defining the proportion as a vehicle comprehensive compliance score CarScore;
s72, calculating the proportion of the sum of the bill amounts of the bill numbers which do not pass the space-time conflict test in the last three months of the current vehicle to the total bill amount, and defining the proportion as the vehicle compliance abnormal amount to the ratio AbFarer;
s73, setting a comprehensive compliance passing threshold lambda of the vehicle according to the vehicle compliance abnormal amount ratio AbFarer c ；
S74, passing the comprehensive compliance of the vehicle through a threshold lambda c The compliance of the highway freight vehicle is determined as compared to the vehicle composite compliance score, carrcore.
9. The method for analyzing compliance with highway freight vehicles based on dynamically uploaded data according to claim 8, wherein in step S73, λ is determined when no historical monitoring reference data is available c Initializing and setting a first threshold value;
when there is historical monitoring reference data and AbFarre is smaller than the first preset value, lambda will still be c Setting a first threshold value;
with historical monitoring reference data and AbFarer between a first preset value and a second preset valueWhen lambda is set c Set to a second threshold;
when there is historical monitoring reference data and AbFarre is between the second preset value and the third preset value, lambda is calculated c Setting a third threshold;
when there is historical monitoring reference data and AbFarre is greater than a third preset value, lambda is calculated c A fourth threshold is set.
10. The method for dynamically uploaded data-based highway freight vehicle compliance analysis according to claim 9, wherein the first threshold, the second threshold, the third threshold and the fourth threshold are sequentially increased; the first preset value, the second preset value and the third preset value are sequentially increased.
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| WO2001084506A2 (en) * | 2000-05-01 | 2001-11-08 | General Electric Company | System and method for managing mobile assets |
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