CN117422337A - Public traffic performance evaluation method and system - Google Patents
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Abstract
The embodiment of the invention discloses a public traffic performance evaluation method, a system, electronic equipment and a storage medium, wherein the public traffic performance evaluation method comprises the following steps: determining a bus line to be evaluated and an evaluation period corresponding to the bus line; determining the sampling rate of the bus line, and determining a sample based on the sampling rate; acquiring operation statistical data of the sample in the evaluation period; constructing a performance evaluation index system; calculating an index value of the performance evaluation index system based on the operation statistical data; comprehensively evaluating each index value through an entropy method to obtain a determined comprehensive evaluation result quantized value; and evaluating the public traffic performance based on the comprehensive evaluation result quantification value. The public traffic performance evaluation method solves the problem that a city public traffic performance evaluation theoretical system which is unified in relative standard and wide in applicability is lacking in the prior art.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a public traffic performance evaluation method, a public traffic performance evaluation system, electronic equipment and a storage medium.
Background
In recent years, more and more government authorities have established operating loss subsidizing mechanisms for public transportation. And when subsidy is carried out, performance evaluation work is required to be carried out on an operation enterprise, so that the use efficiency of financial funds and the quantity and quality of public transportation services provided by the operation enterprise reach standards. Meanwhile, performance evaluation work is an effective management gripper for public transportation operation enterprises by a traffic management department, and the enterprises actively promote the service level and the operation efficiency of the enterprises by hooking evaluation results and financial subsidy funds or rewarding funds.
However, at present, the urban public transportation performance evaluation theory system with unified relative standards and wide applicability is lacking, and daily public transportation service level evaluation work, enterprise performance evaluation work and the like are respectively formulated with evaluation indexes and evaluation scores, so that the data statistics ranges are not unified, the index algorithms are not unified, the evaluation standards are not unified, the ranges and the time limits of each work are also not unified, the transverse comparison which is relatively scientific and can be unified and quantized cannot be carried out, the improvement of industry management means is not facilitated, and the development and the progress of buses are also not facilitated.
In the background of the great priority of urban public transportation and industry management to improve the level of refinement, a method for evaluating public transportation performance is needed.
Disclosure of Invention
The embodiment of the invention aims to provide a public traffic performance evaluation method, a public traffic performance evaluation system, an electronic device and a storage medium, which are used for solving the problem that a public traffic performance evaluation theoretical system which is unified in relative standard and wide in applicability is lacking in the prior art.
In order to achieve the above objective, an embodiment of the present invention provides a method for evaluating public traffic performance, where the method specifically includes:
determining a bus line to be evaluated and an evaluation period corresponding to the bus line;
determining the sampling rate of the bus line, and determining a sample based on the sampling rate;
acquiring operation statistical data of the sample in the evaluation period;
constructing a performance evaluation index system;
calculating an index value of the performance evaluation index system based on the operation statistical data;
comprehensively evaluating each index value through an entropy method to obtain a determined comprehensive evaluation result quantized value;
and evaluating the public traffic performance based on the comprehensive evaluation result quantification value.
Based on the technical scheme, the invention can also be improved as follows:
further, the determining the sampling rate of the bus line, determining a sample based on the sampling rate, includes:
when the public transport line of the city is greater than a threshold value, determining that the sampling rate of the public transport line is 5% -10%;
and when the bus line of the city is smaller than the threshold value, determining that the sampling rate of the bus line is 10% -15%.
Further, the operation statistical data comprises a line name, a line length, a affiliated company, a vehicle allocation number, an evaluation period planning passenger mileage, an evaluation period actual passenger mileage, an evaluation period planning shift-starting time, an evaluation period actual shift-starting time, an evaluation period positive ignition vehicle-starting time, an evaluation period line operation cost, an evaluation period line passenger traffic volume, an evaluation period peak departure interval, an evaluation period vehicle fault number, an evaluation period line vehicle violation number, an evaluation period vehicle-mounted terminal fault number, an evaluation period responsible accident death number, an evaluation period complaint case processing completion number, an evaluation period responsible command correction number and an evaluation period media negative report number.
Further, the calculating an index value of the performance evaluation index system based on the operation statistics includes:
setting quantifiable indexes based on an operation performance level, an operation vehicle level, an operation safety level, a reliability level, a social evaluation level, an information service level and an operation guarantee level in an evaluation period;
the quantifiable indexes comprise kilometer cost, kilometer passenger traffic, midway fault rate of operating vehicles, liability accident mortality of buses and electric vehicles, traffic violation rate of buses and electric vehicles, planned passenger mileage completion rate, planned train number completion rate, average departure interval in peak period, departure punctual rate, complaint processing completion rate, media negative report times, failure rate of on-board intelligent terminals and order correction times.
Further, the calculating an index value of the performance evaluation index system based on the operation statistics further includes:
calculating the kilometer cost of the vehicle according to the line operation cost in the evaluation period and the actual passenger mileage in the evaluation period;
calculating the kilometer passenger traffic of the vehicle by the actual passenger mileage of the evaluation period line passenger traffic/the evaluation period;
calculating the midway fault rate of the operation vehicle according to the number of vehicle faults in the evaluation period and the actual shift time of the evaluation period;
calculating the death rate of the liability accidents of the bus and the electric car by the dead number of the liability accidents in the evaluation period/the planned passenger mileage in the evaluation period;
calculating the traffic violation rate of the road of the bus by the number of times of the traffic violation of the line vehicle in the evaluation period;
calculating the planned passenger mileage completion rate through the actual passenger mileage of the evaluation period/the planned passenger mileage of the evaluation period;
calculating the completion rate of the planned train number through the actual shift-starting time of the evaluation period/the planned shift-starting time of the evaluation period;
calculating the departure positive point rate through the departure positive point departure time/the planning departure time of the evaluation period;
calculating the complaint processing ending rate according to the number of the complaint cases in the evaluation period and the number of the complaint cases in the evaluation period;
and calculating the failure rate of the vehicle-mounted intelligent terminal according to the failure times/the number of the vehicle-mounted terminals in the evaluation period.
Further, the comprehensively evaluating each index value through an entropy method to obtain a determined quantized value of the comprehensive evaluation result, which comprises the following steps:
calculating information data e by equation 1 i ；
In the formula e i Is the information entropy, k is a constant, m is the number of samples, k=1/lnm, y ij For the i sample, the j-th index accounts for the specific gravity of the index of all samples, i=1, 2,3, …, m; j=1, 2,3, …, n;
calculating the information entropy value coefficient d by the formula 2 i ；
d j ＝1-e j Equation 2;
in the formula e j Is an entropy value;
calculating the evaluation index weight w by the formula 3 i ；
Wherein d j Is the value coefficient of the information entropy i Is the evaluation index weight.
Further, the comprehensively evaluating each index value through an entropy method to obtain a determined quantized value of the comprehensive evaluation result, and the method further comprises the following steps:
calculating an i sample jth index evaluation score F by the formula 4 ij ；
F ij ＝w j ＝x′ ij ；
Wherein x 'is' ij Is x ij Index x after standardized treatment ij The value of the j index of sample i, w j Is the j-th index x j Weighting;
calculating a final comprehensive evaluation value of the ith sample through a formula 5;
an evaluation system for public transportation performance, comprising:
the first determining module is used for determining a bus route to be evaluated and an evaluation period corresponding to the bus route;
the second determining module is used for determining the sampling rate of the bus line and determining a sample based on the sampling rate;
the data acquisition module is used for acquiring operation statistical data of the sample in the evaluation period;
the index system construction module is used for constructing a performance evaluation index system;
the first calculation module is used for calculating an index value of the performance evaluation index system based on the operation statistical data;
the second calculation module is used for comprehensively evaluating each index value through an entropy method to obtain a determined comprehensive evaluation result quantized value;
and the evaluation result acquisition module is used for evaluating the public traffic performance based on the comprehensive evaluation result quantification value.
An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method when the computer program is executed.
A non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the method.
The embodiment of the invention has the following advantages:
according to the public traffic performance evaluation method, a bus route to be evaluated and an evaluation period corresponding to the bus route are determined; determining the sampling rate of the bus line, and determining a sample based on the sampling rate; acquiring operation statistical data of the sample in the evaluation period; constructing a performance evaluation index system; calculating an index value of the performance evaluation index system based on the operation statistical data; comprehensively evaluating each index value through an entropy method to obtain a determined comprehensive evaluation result quantized value; based on the comprehensive evaluation result quantification value, the problem that the urban public traffic performance evaluation theoretical system which is unified in relative standard and wide in applicability is lacking in the prior art is solved.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It will be apparent to those skilled in the art from this disclosure that the drawings described below are merely exemplary and that other embodiments may be derived from the drawings provided without undue effort.
The structures, proportions, sizes, etc. shown in the present specification are shown only for the purposes of illustration and description, and are not intended to limit the scope of the invention, which is defined by the claims, so that any structural modifications, changes in proportions, or adjustments of sizes, which do not affect the efficacy or the achievement of the present invention, should fall within the scope of the invention.
Fig. 1 is a flow chart of a method of evaluating public transportation performance of the present invention;
fig. 2 is a block diagram of the public transportation performance evaluation system of the present invention;
fig. 3 is a schematic diagram of the public transportation performance evaluation index system of the present invention;
FIG. 4 is a schematic diagram of the bus route information during the evaluation period of the present invention;
fig. 5 is a schematic diagram of a calculation result of a performance evaluation index of public transportation in 2023, season 1;
fig. 6 is a schematic diagram of calculation results of calculation parameters of performance evaluation indexes of public transportation in 2023 year 1 quarter of city according to the present invention;
fig. 7 is a schematic diagram of comprehensive evaluation results of performance of a line of buses in 2023 year 1 quarter of the city;
fig. 8 is a schematic diagram of an entity structure of an electronic device according to the present invention.
Wherein the reference numerals are as follows:
the system comprises a first determining module 10, a second determining module 20, a data obtaining module 30, an index system constructing module 40, a first calculating module 50, a second calculating module 60, an evaluation result obtaining module 70, an electronic device 80, a processor 801, a memory 802 and a bus 803.
Detailed Description
Other advantages and advantages of the present invention will become apparent to those skilled in the art from the following detailed description, which, by way of illustration, is to be read in connection with certain specific embodiments, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Examples
Fig. 1 is a flowchart of an embodiment of a public traffic performance evaluation method of the present invention, and as shown in fig. 1, the public traffic performance evaluation method provided by the embodiment of the present invention includes the following steps:
s101, determining a bus line to be evaluated and an evaluation period corresponding to the bus line;
specifically, the organization department of public traffic performance evaluation work needs to determine the development range of the evaluation work in advance, namely, determine the evaluation area, related public traffic business enterprises and running public traffic lines. Next, an evaluation period, i.e., a month evaluation, a quarter evaluation, a half year evaluation, or an annual evaluation is selected.
S102, determining the sampling rate of a bus line, and determining a sample based on the sampling rate;
specifically, when the public transport line of the city is greater than a threshold value, determining that the sampling rate of the public transport line is 5% -10%;
and when the bus line of the city is smaller than the threshold value, determining that the sampling rate of the bus line is 10% -15%.
Preferably, the threshold is 200;
since the scales of the cities are different, the ranges for carrying out public traffic performance evaluation work are also different, and for cities with a large number of public traffic routes, all routes and vehicles cannot be involved in each evaluation, so that the sampling rate of the evaluation work needs to be set according to the scales of the cities. Operating a conventional bus line in more than 200 cities, and evaluating according to a sampling rate of 5% -10%; and operating the conventional bus line in less than 200 cities, and evaluating according to the sampling rate of 10% -15%. And the objective sampling is performed, and meanwhile, the coverage of the extracted lines and vehicles to all public transportation business enterprises within the range is ensured for each evaluation.
S103, acquiring operation statistical data of the sample in an evaluation period;
specifically, the operation statistical data comprises a line name, a line length, a affiliated company, the number of vehicle allocation, an evaluation period planning passenger mileage, an evaluation period actual passenger mileage, an evaluation period planning shift-starting time, an evaluation period actual shift-starting time, an evaluation period positive point departure time, an evaluation period line operation cost, an evaluation period line passenger traffic volume, an evaluation period peak departure interval, an evaluation period vehicle fault number, an evaluation period line vehicle violation number, an evaluation period vehicle-mounted terminal fault number, an evaluation period responsible accident death number, an evaluation period complaint case processing completion number, an evaluation period accountation correction number and an evaluation period media negative report number.
S104, constructing a performance evaluation index system.
Specifically, as shown in fig. 3, a quantifiable index is set based on an operation performance level, an operation vehicle level, an operation safety level, a reliability level, a social evaluation level, an information service level, and an operation guarantee level in an evaluation period;
the quantifiable indexes comprise kilometer cost, kilometer passenger traffic, midway fault rate of operating vehicles, liability accident mortality of buses and electric vehicles, traffic violation rate of buses and electric vehicles, planned passenger mileage completion rate, planned train number completion rate, average departure interval in peak period, departure punctual rate, complaint processing completion rate, media negative report times, failure rate of on-board intelligent terminals and order correction times.
S105, calculating an index value of a performance evaluation index system based on operation statistical data;
specifically, calculating the kilometer cost of the vehicle by dividing the line operation cost in the evaluation period by the actual passenger mileage in the evaluation period; units are yuan/km;
calculating the kilometer passenger traffic of the vehicle by dividing the passenger traffic of the line in the evaluation period by the actual passenger mileage in the evaluation period; the unit is mankind/kilometer;
calculating the midway fault rate of the operation vehicle by dividing the number of vehicle faults in the evaluation period by the actual shift time in the evaluation period; the unit is that;
calculating the death rate of the liability accidents of the bus and the train by dividing the death number of the liability accidents in the evaluation period by the planned passenger mileage in the evaluation period; the unit is people/ten thousand kilometers;
calculating the traffic violation rate of the road of the bus by dividing the number of the traffic violations of the line vehicle in the evaluation period by the number of the matched vehicles; the units are times/vehicles.
Calculating the planned passenger mileage completion rate by dividing the actual passenger mileage in the evaluation period by the planned passenger mileage in the evaluation period; the unit is that;
calculating the completion rate of the planned train number by dividing the actual shift-starting time of the evaluation period by the planned shift-starting time of the evaluation period; the unit is that;
calculating the departure point rate by dividing the departure point time of the evaluation period by the planned departure time of the evaluation period; the unit is that;
calculating the complaint processing ending rate by dividing the number of the complaint cases in the evaluation period by the number of the complaint cases in the evaluation period; the unit is that;
and calculating the failure rate of the vehicle-mounted intelligent terminal by dividing the failure times of the vehicle-mounted terminal in the evaluation period by the number of the vehicles. The unit is that;
calculating the average departure interval of the peak period according to the average departure interval of the lines in the early and late peak periods; the unit is minutes;
calculating the number of media negative reports by evaluating the number of media negative reports in the period; the unit is the times;
the number of times of the accountability improvement is calculated by evaluating the number of times of the accountability improvement. The units are times.
S106, comprehensively evaluating each index value through an entropy method to obtain a determined comprehensive evaluation result quantized value;
specifically, an entropy method-based comprehensive evaluation model is adopted to perform comprehensive evaluation on an evaluation index system, and the result is a quantized value with transverse comparison capability. In addition, the entropy method can carry out objective comprehensive evaluation on an uncertain system, is also suitable for comparison analysis among different samples in a certain system, and comprises the following calculation steps:
firstly, dimensionless treatment is carried out on each index. Converting each index into x ij Converted into relative number x 'without units' ij ，x′ ij The numerical value is specified in [0,1]And (3) inner part. Using a linear dimensionless process, a formula is used for calculation of the forward index, i.e., the larger and better the index.
Wherein x is ij The value of the j index of sample i, x' ij Is an index after standardized treatment; i=1, 2,3, …, m; j=1, 2,3, …, n;
the reverse index, i.e., the smaller and the better the index, is calculated by using a formula.
Sample index weight y ij Refers to the ith sampleThe j-th index accounts for the specific gravity of the index of all samples. The sample index weights are calculated using a formula.
Calculating information data e by equation 1 i ；
In the formula e i Is the index x i K is a constant, m is the number of samples, k=1/lnm, y ij For the i sample, the j-th index accounts for the specific gravity of the index of all samples, i=1, 2,3, …, m; j=1, 2,3, …, n;
calculating the information entropy value coefficient d by the formula 2 i ；
d j ＝1-e j Equation 2;
in the formula e j Is an entropy value;
calculating the evaluation index weight w by the formula 3 i ；
Wherein d j Is the value coefficient of the information entropy i To evaluate the index weight, the information entropy value coefficient d j The difference value between the indexes can be measured. Entropy value e j The smaller the difference coefficient d between indexes j The larger the (i.e., entropy value coefficient) the more important the index is.
Ith sample jth index evaluation score F ij Can use the j-th index x j Weight w j And the jth evaluation index x 'of the ith sample in the standardized matrix' ij Is obtained by calculating the j-th index evaluation score F of the i-th sample through the product of the (4) ij ；
F ij ＝w j ×x′ ij ；
Wherein x 'is' ij Is x ij Index x after standardized treatment ij The value of the j index of sample i, w j Is the j-th index x j Weighting;
calculating a final comprehensive evaluation value of the ith sample through a formula 5;
s107, obtaining an evaluation result of public traffic performance based on the comprehensive evaluation result quantized value;
specifically, the performance evaluation indexes are comprehensively evaluated by an entropy method to obtain a determined comprehensive evaluation result quantized value, wherein the result is positioned in [0,1], and the closer the result is to 1, the higher the representative evaluation result is. In addition, the result can be directly compared with the historical value and other urban evaluation values, and can also be compared and evaluated in the urban according to enterprises or lines as units.
The public traffic performance evaluation method comprises the steps of determining a bus route to be evaluated and an evaluation period corresponding to the bus route; determining the sampling rate of the bus line, and determining a sample based on the sampling rate; acquiring operation statistical data of the sample in the evaluation period; constructing a performance evaluation index system; calculating an index value of the performance evaluation index system based on the operation statistical data; comprehensively evaluating each index value through an entropy method to obtain a determined comprehensive evaluation result quantized value; and evaluating the public traffic performance based on the comprehensive evaluation result quantification value. Solves the problem that the prior art lacks a city public traffic performance evaluation theoretical system which is unified in relative standard and wide in applicability.
Preferably, one embodiment is:
* At present, a public operation enterprise exists in a city district, two operation branch companies, a bus company and a development company are arranged down, the two branch companies operate 87 conventional bus lines together, and evaluation work is carried out according to an evaluation period of 1 st quarter of 2023.
And carrying out performance evaluation according to the sampling rate of 10%, wherein 9 conventional bus lines are required to be extracted, two companies extract 4 bus company lines and 5 development company lines on average.
All of the following data were collected and summarized according to the evaluation period (i.e., 1 quarter of 2023): the statistical table of bus route information including statistical information required for carrying out evaluation work in the evaluation period is shown in fig. 4 (only part of the route information cases are shown).
After the statistics of the basic information in the evaluation period is completed, the total sum index value calculation is carried out on the data of each line according to the performance evaluation index system, the result is shown in fig. 5, and fig. 5 is a table of the performance evaluation index calculation of the public transportation in 2023 year 1 quarter.
The information entropy, the information entropy value coefficient and the evaluation index weight are calculated, and fig. 6 is a calculation result of the information entropy, the information entropy value coefficient and the weight of the 2023 quarter 1 public traffic performance evaluation index.
The comprehensive evaluation level value of the sample is calculated, and fig. 7 is a comprehensive evaluation result of the performance of the bus line in 2023 year 1 quarter.
The performance evaluation results of the 9 conventional bus routes drawn by the pair market are shown in table 5, the highest evaluation level is the route A1, the lowest is the route CZ1, and the management department can formulate a scoring standard based on the evaluation results, for example, the evaluation results are more than 0.8 and excellent, 0.7-0.8 are good, 0.6-0.7 are qualified, less than 0.6 is unqualified, and rewards are given for routes with excellent performance, and punishment measures are given for the unqualified routes. In addition, detailed optimization measures can be formulated for specific problems existing in each line according to visual settlement results of the performance evaluation index system, and the conventional evaluation results can be used as historical records, and after the same line is extracted for evaluation next time, the improvement level of the line compared with the previous evaluation is compared, so that the service level and the operation benefit of the line are improved.
Fig. 2 is a diagram of an embodiment of an architecture of an evaluation system for public transportation performance according to the present invention; as shown in fig. 2, the system for evaluating public traffic performance provided by the embodiment of the invention comprises the following steps:
the first determining module 10 is configured to determine a bus route to be evaluated and an evaluation period corresponding to the bus route;
a second determining module 20, configured to determine a sampling rate of the bus line, and determine a sample based on the sampling rate;
a data acquisition module 30, configured to acquire operation statistics of the sample during the evaluation period;
an index system construction module 40 for constructing a performance evaluation index system;
a first calculation module 50, configured to calculate an index value of the performance evaluation index system based on the operation statistics;
a second calculation module 60, configured to perform comprehensive evaluation on each index value by using an entropy method, so as to obtain a determined quantized value of the comprehensive evaluation result;
and an evaluation result acquisition module 70, configured to obtain an evaluation result of public transportation performance based on the comprehensive evaluation result quantification value.
According to the public traffic performance evaluation system, a first determination module 10 is used for determining a public traffic line to be evaluated and an evaluation period corresponding to the public traffic line; determining, by a second determination module 20, a sampling rate of the bus route, determining a sample based on the sampling rate; acquiring operation statistical data of the sample in the evaluation period through a data acquisition module 30; constructing a performance evaluation index system through an index system construction module 40; calculating, by a first calculation module 50, an index value of the performance evaluation index system based on the operation statistics; comprehensively evaluating each index value through an entropy method through a second computing module 60 to obtain a determined comprehensive evaluation result quantized value; and an evaluation result obtaining module 70 is used for obtaining an evaluation result of public traffic performance based on the comprehensive evaluation result quantification value. The public traffic performance evaluation method solves the problem that a city public traffic performance evaluation theoretical system which is unified in relative standard and wide in applicability is lacking in the prior art.
Fig. 8 is a schematic diagram of an entity structure of an electronic device according to an embodiment of the present invention, as shown in fig. 8, an electronic device 80 includes: a processor 801 (processor), a memory 802 (memory), and a bus 803;
the processor 801 and the memory 802 complete communication with each other through the bus 803;
the processor 801 is configured to invoke program instructions in the memory 802 to perform the methods provided by the above-described method embodiments, including, for example: determining a bus line to be evaluated and an evaluation period corresponding to the bus line; determining the sampling rate of the bus line, and determining a sample based on the sampling rate; acquiring operation statistical data of the sample in the evaluation period; constructing a performance evaluation index system; calculating an index value of the performance evaluation index system based on the operation statistical data; comprehensively evaluating each index value through an entropy method to obtain a determined comprehensive evaluation result quantized value; and evaluating the public traffic performance based on the comprehensive evaluation result quantification value.
The present embodiment provides a non-transitory computer readable storage medium storing computer instructions that cause a computer to perform the methods provided by the above-described method embodiments, for example, including: determining a bus line to be evaluated and an evaluation period corresponding to the bus line; determining the sampling rate of the bus line, and determining a sample based on the sampling rate; acquiring operation statistical data of the sample in the evaluation period; constructing a performance evaluation index system; calculating an index value of the performance evaluation index system based on the operation statistical data; comprehensively evaluating each index value through an entropy method to obtain a determined comprehensive evaluation result quantized value; and evaluating the public traffic performance based on the comprehensive evaluation result quantification value.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware associated with program instructions, where the foregoing program may be stored in a computer readable storage medium, and when executed, the program performs steps including the above method embodiments; and the aforementioned storage medium includes: various storage media such as ROM, RAM, magnetic or optical disks may store program code.
The apparatus embodiments described above are merely illustrative, wherein elements illustrated as separate elements may or may not be physically separate, and elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on such understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the embodiments or the methods of some parts of the embodiments.
While the invention has been described in detail in the foregoing general description and specific examples, it will be apparent to those skilled in the art that modifications and improvements can be made thereto. Accordingly, such modifications or improvements may be made without departing from the spirit of the invention and are intended to be within the scope of the invention as claimed.
Claims (10)
1. The public traffic performance evaluation method is characterized by comprising the following steps of:
determining a bus line to be evaluated and an evaluation period corresponding to the bus line;
determining the sampling rate of the bus line, and determining a sample based on the sampling rate;
acquiring operation statistical data of the sample in the evaluation period;
constructing a performance evaluation index system;
calculating an index value of the performance evaluation index system based on the operation statistical data;
comprehensively evaluating each index value through an entropy method to obtain a determined comprehensive evaluation result quantized value;
and evaluating the public traffic performance based on the comprehensive evaluation result quantification value.
2. The method of evaluating public transportation performance of claim 1, wherein the determining the sampling rate of the bus route, determining a sample based on the sampling rate, comprises:
when the public transport line of the city is greater than a threshold value, determining that the sampling rate of the public transport line is 5% -10%;
and when the bus line of the city is smaller than the threshold value, determining that the sampling rate of the bus line is 10% -15%.
3. The method for evaluating public transportation performance according to claim 1, wherein the operation statistics include a line name, a line length, a company to which the operation statistics belong, a number of cars, an evaluation period planned passenger mileage, an evaluation period actual passenger mileage, an evaluation period planned shift time, an evaluation period actual shift time, an evaluation period positive-point departure time, an evaluation period line operation cost, an evaluation period line passenger traffic volume, an evaluation period peak departure interval, an evaluation period vehicle fault number, an evaluation period line vehicle violation number, an evaluation period vehicle terminal fault number, an evaluation period liability accident death number, an evaluation period complaint case processing completion number, an evaluation period accountability adjustment number, and an evaluation period media negative report number.
4. A method of evaluating public transportation performance as defined in claim 3, wherein said calculating an index value of the performance evaluation index system based on the operation statistics comprises:
setting quantifiable indexes based on an operation performance level, an operation vehicle level, an operation safety level, a reliability level, a social evaluation level, an information service level and an operation guarantee level in an evaluation period;
the quantifiable indexes comprise kilometer cost, kilometer passenger traffic, midway fault rate of operating vehicles, liability accident mortality of buses and electric vehicles, traffic violation rate of buses and electric vehicles, planned passenger mileage completion rate, planned train number completion rate, average departure interval in peak period, departure punctual rate, complaint processing completion rate, media negative report times, failure rate of on-board intelligent terminals and order correction times.
5. The method of evaluating public transportation performance according to claim 4, wherein the operation statistics calculate an index value of the performance evaluation index system, further comprising:
calculating the kilometer cost of the vehicle by dividing the line operation cost in the evaluation period by the actual passenger mileage in the evaluation period;
calculating the kilometer passenger traffic of the vehicle by dividing the passenger traffic of the line in the evaluation period by the actual passenger mileage in the evaluation period;
calculating the midway fault rate of the operation vehicle by dividing the number of vehicle faults in the evaluation period by the actual shift time in the evaluation period;
calculating the death rate of the liability accidents of the bus and the train by dividing the death number of the liability accidents in the evaluation period by the planned passenger mileage in the evaluation period;
calculating the traffic violation rate of the road of the bus by dividing the number of the traffic violations of the line vehicle in the evaluation period by the number of the matched vehicles;
calculating the planned passenger mileage completion rate by dividing the actual passenger mileage in the evaluation period by the planned passenger mileage in the evaluation period;
calculating the completion rate of the planned train number by dividing the actual shift-starting time of the evaluation period by the planned shift-starting time of the evaluation period;
calculating the departure point rate by dividing the departure point time of the evaluation period by the planned departure time of the evaluation period;
calculating the complaint processing ending rate by dividing the number of the complaint cases in the evaluation period by the number of the complaint cases in the evaluation period;
and calculating the failure rate of the vehicle-mounted intelligent terminal by dividing the failure times of the vehicle-mounted terminal in the evaluation period by the number of the vehicles.
6. The public transportation performance evaluation method according to claim 5, wherein the comprehensively evaluating each index value by an entropy method to obtain a determined quantitative value of the comprehensive evaluation result comprises:
calculating information data e by equation 1 i ；
In the formula e i Is the information entropy, k is a constant, m is the number of samples, k=1/lnm, y ij For the i sample, the j-th index accounts for the specific gravity of the index of all samples, i=1, 2,3, …, m; j=1, 2,3, …, n;
calculating the information entropy value coefficient d by the formula 2 i ；
d j ＝1-e j Equation 2
In the formula e j Is an entropy value;
calculating the evaluation index weight w by the formula 3 i ；
Wherein d j Is the value coefficient of the information entropy i Is the evaluation index weight.
7. The method for evaluating public transportation performance according to claim 6, wherein the comprehensively evaluating each index value by an entropy method to obtain a determined quantized value of the comprehensive evaluation result, further comprises:
calculating an i sample jth index evaluation score F by the formula 4 ij ；
F ij ＝w j ×x′ ij ；
Wherein x 'is' ij Is x ij Index x after standardized treatment ij The j index of sample iNumerical value of w j Is the j-th index x j Weighting;
calculating a final comprehensive evaluation value of the ith sample through a formula 5;
8. a public transportation performance evaluation system, comprising:
the first determining module is used for determining a bus route to be evaluated and an evaluation period corresponding to the bus route;
the second determining module is used for determining the sampling rate of the bus line and determining a sample based on the sampling rate;
the data acquisition module is used for acquiring operation statistical data of the sample in the evaluation period;
the index system construction module is used for constructing a performance evaluation index system;
the first calculation module is used for calculating an index value of the performance evaluation index system based on the operation statistical data;
the second calculation module is used for comprehensively evaluating each index value through an entropy method to obtain a determined comprehensive evaluation result quantized value;
and the evaluation result acquisition module is used for evaluating the public traffic performance based on the comprehensive evaluation result quantification value.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any one of claims 1 to 7 when the computer program is executed.
10. A non-transitory computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method according to any of claims 1 to 7.
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