CN113344380A - Bus operation index classification and evaluation method - Google Patents

Bus operation index classification and evaluation method Download PDF

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CN113344380A
CN113344380A CN202110617812.0A CN202110617812A CN113344380A CN 113344380 A CN113344380 A CN 113344380A CN 202110617812 A CN202110617812 A CN 202110617812A CN 113344380 A CN113344380 A CN 113344380A
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刘磊
任子晖
王晓娟
赵玉坤
倪金林
曾永李
王井邵
彭业华
程青阳
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Abstract

The invention discloses a method for classifying and evaluating public transport operation indexes, which comprises the following steps: firstly, dividing evaluation indexes into four types, namely line basic data indexes; line operational data index: the system comprises a main point departure rate, a train number cashing rate, a whole journey punctuality rate, kilometre operation income, a working hour utilization rate, a mileage utilization rate, a peak time period average operation speed and a driving plan instruction modification rate; a line passenger flow index; line services and security indicators; secondly, dividing the index value obtained by calculation into 5 evaluation grades and score grades; and finally, dividing different index weights, calculating a line score, and evaluating line operation according to the line score. The invention promotes the bus route evaluation work to a scientific, efficient and practical new level; scientific and objective basis is provided for planning and adjusting public traffic lines, and the blindness of decision making is reduced; the method has important significance for optimizing the wire mesh structure, reasonably allocating vehicles, effectively utilizing resources and facilitating the traveling of passengers.

Description

Bus operation index classification and evaluation method
Technical Field
The invention relates to the field of a bus operation index classification and evaluation method, in particular to a bus operation index classification and evaluation method for an intelligent bus system.
Background
The ground public transport is an important component of an urban traffic system, and the accurate and quantitative evaluation of the running state of the ground public transport is an urgent practical requirement for planning, organizing and managing the urban traffic and is also a basis for providing public transport information service for the public.
At present, the implementation of domestic line planning is lack of effective management, which causes unreasonable line level, and the line planning method is particularly shown in the following aspects that firstly, the line function is single, the line is not planned in a grading way according to the requirements of passenger flow and travel distance, and a line network structure system with clear division of labor and coordination matching is formed; secondly, the line switching lacks of evaluation standards and effective evaluation means which are integrally considered from a line network; finally, the ground public traffic network is not effectively linked with the rail network planning.
Generally speaking, the domestic bus line layout is unreasonable, the running speed is low, the transfer is inconvenient, the coverage is insufficient, the overall service level of the bus is influenced, and the bus attraction is insufficient. The method lacks effective basis in the process of adjusting the circuit and has certain blindness.
Therefore, it is necessary to research a method for classifying and evaluating bus operation indexes, and to grasp the line operation and service level by research, so as to provide a basis for line adjustment.
To solve the problems in the related art, no effective solution has been proposed yet
Disclosure of Invention
The invention aims to provide a bus operation index classification and evaluation method for an intelligent bus system, which realizes the collection of all bus data information in a city, establishes a classification and evaluation method aiming at ground public traffic operation indexes, realizes the quantitative and dynamic real-time evaluation of ground public traffic operation conditions, and provides evaluation service about operation for ground bus travelers and traffic managers.
In order to achieve the purpose, the invention provides the following technical scheme:
a bus operation index classification and evaluation method comprises the following steps:
s1 classifies the evaluation indices: dividing the comprehensive evaluation of the bus operation line into the following evaluation indexes, namely a line basic data index, a line operation data index, a line passenger flow index, a line service and a safety index;
(1) line basic data index: dividing the data into indexes of three different road sections of a bus rapid transit line, a trunk line and a branch line;
(2) line operational data index: evaluating the rationality of the actual operation of the line by using the actual operation data of the line; the indexes include: the system comprises a working hour utilization rate, a mileage utilization rate, a plan instruction modification rate, a right-of-way departure rate, a train number cashing rate, a whole journey punctuality rate and an average operation speed in morning and evening peak periods;
(3) line passenger flow volume index: analyzing the distribution rule of lines in time, direction and section by using line passenger flow data, analyzing the high-peak-load rate condition of the lines, evaluating the balance of line passenger flow distribution and further analyzing the rationality of line operation scheduling; the indexes include: time unbalance coefficient, section unbalance coefficient, direction unbalance coefficient, average full load rate in peak period; time imbalance coefficient: respectively calculating time imbalance coefficients corresponding to uplink and downlink, and finally evaluating the maximum value between the uplink and downlink;
(4) line service and safety index: the indexes comprise public complaint amount, crowdedness degree in peak hours and responsible accident amount; public complaint volume and responsible accident volume can be obtained from the system, and the congestion degree of the vehicles installed in the peak period can be obtained through the passenger flow system.
S2, dividing the calculated index value into 5 evaluation grades and score grades;
s3, dividing different index weights, calculating a line score, and evaluating line operation according to the line score;
the total score of the score is 100, wherein the line passenger flow index is suitable for the line provided with the passenger flow counting equipment, and the proportion of vehicles provided with the passenger flow equipment is more than 95 percent of the line.
As a further scheme of the invention: in the line basic data indexes of the step S1, the bus rapid transit line is mainly used for improving the travel efficiency of residents, so that the travel time of passengers is shortened, the direct performance of the line is ensured, the line length is longer, and the nonlinear coefficient is lower; the main trunk line mainly aims to be used as a supplementary travel mode for connecting rail transit and BRT (bus rapid transit) in the future, generally refers to medium-short distance travel and undertakes travel in areas where the rail transit and the BRT cannot be involved; the branch lines mainly provide travel services for residential districts in remote areas and passengers in areas uncovered by the BRT and the common lines, so that the branch lines are ensured to have more transfer stations connected with the BRT and the common lines.
As a further scheme of the invention: the planned command modification rate in the line operation data index of step S1 is: the ratio of the number of times of modification to the meta-plan departure time point to the total departure times in actual operation after the route driving plan is formulated;
the operation reliability in morning and evening peak periods: the discrete degree of the one-way running time of the vehicles in the morning and evening peak periods measures the running reliability of the line, and the maximum value of the standard deviation of the running time of the vehicles in the ascending or descending morning and evening peak periods is taken.
As a further scheme of the invention: in the line passenger volume index of step S1:
Figure BDA0003098283080000031
value of time imbalance coefficient: (<1.7): the passenger flow distribution of the line uplink in each time period (1 hour) is more balanced; the time imbalance coefficient value (1.7-2): the passenger flow distribution of the line ascending in each time period (1 hour) is unbalanced; value of time imbalance coefficient: (>2): the unbalanced degree of the passenger flow distribution of the line ascending in each time period (1 hour) is large, the transportation capacity needs to be increased in the peak time period to meet the traveling demand of passengers, the transportation capacity is properly reduced in the low peak time period, and the average full load rate of vehicles is improved; the uplink calculation is similar.
As a further scheme of the invention: in the line passenger volume index of step S1:
Figure BDA0003098283080000032
value of imbalance coefficient: (<1.3): passenger flow distribution of each section of the line descending is relatively balanced; imbalance coefficient value (1.3-1.5): the passenger flow distribution of each section of the descending line is not balanced, and the passenger distribution degree is not uniform; value of imbalance coefficient: (>1.5): the unbalanced degree of passenger flow of each section of a descending line is larger, some sections are very crowded, the passenger flow of some sections is less, and the transportation capacity of the maximum passenger flow section is enhanced by means of additionally sending vehicles in a district, express trains and the like at the maximum section; the line station is unreasonable in arrangement, and the line needs to be adjusted; the calculation mode of the imbalance coefficient of the descending section is similar.
As a further scheme of the invention: in the line passenger volume index of step S1:
Figure BDA0003098283080000033
wherein the value of imbalance coefficient: (<1.4): the passenger flow distribution in the uplink and downlink directions of the line is relatively balanced; imbalance coefficient value (1.4-1.5): the passenger flow distribution in the uplink and downlink directions of the line is unbalanced; value of imbalance coefficient: (>1.5): the degree of imbalance of the passenger flow distribution in the uplink and downlink directions of the line is larger, the daily average passenger flow of the uplink is larger than or smaller than the daily average passenger flow of the downlink, the transportation capacity needs to be added to the direction with large passenger flow, and the direction with small passenger flow is reduced。
Compared with the prior art, the invention has the beneficial effects that: 1. the bus route evaluation work is improved to a scientific, efficient and practical new level; 2. scientific and objective basis is provided for planning and adjusting public traffic lines, and the blindness of decision making is reduced; 3. in the implementation of public vehicle and electric vehicle line network system planning and line management, the method has important significance for optimizing a line network structure, reasonably allocating vehicles, effectively utilizing resources and facilitating passenger traveling.
Drawings
Fig. 1 is an index classification and proportion diagram of a line with a passenger flow equipment vehicle proportion of more than 95% in the method of the invention.
Fig. 2 is an index classification and proportion chart of a line without installed passenger flow equipment or with insufficient installation rate in the method of the present invention.
Detailed Description
The technical solution of the present patent will be described in further detail with reference to the following embodiments.
According to the embodiment of the invention, a method for classifying and evaluating bus operation indexes is provided.
In this embodiment, the calculation method is as follows:
1. index classification: the comprehensive evaluation of the bus operation line is divided into the following evaluation indexes, namely a line basic data index, a line operation data index, a line passenger flow index, a line service and a safety index.
Line basic data index: the method is divided into indexes of three different road sections of a bus rapid transit line, a trunk line and a branch line. The bus rapid transit line mainly aims at improving the traveling efficiency of residents, shortening the traveling time of passengers, ensuring the direct performance of the line, and ensuring longer line length and lower nonlinear coefficient; the main trunk line mainly aims to be used as a supplementary travel mode for connecting rail transit and BRT (bus rapid transit) in the future, generally refers to medium-short distance travel and undertakes travel in areas where the rail transit and the BRT cannot be involved; the branch lines mainly provide travel services for residential districts in remote areas and passengers in areas uncovered by the BRT and the common lines, so that the branch lines are ensured to have more transfer stations connected with the BRT and the common lines. The following table 1 is a classification and scoring standard of the line basic data indexes:
TABLE 1
Figure BDA0003098283080000041
Figure BDA0003098283080000051
Line operational data index: and evaluating the reasonability of the actual operation of the line by using the actual operation data of the line. The indexes include: the system comprises a work hour utilization rate, a mileage utilization rate, a plan instruction modification rate, a right-of-way departure rate, a train number cashing rate, a whole journey punctuality rate, an average operation speed in morning and evening peak periods and the like. The following table 2 is a classification and scoring standard of the line operation data indexes:
TABLE 2
Figure BDA0003098283080000052
Figure BDA0003098283080000061
Wherein the plan instruction modification rate: the ratio of the number of times of modification to the meta-plan departure time point to the total departure times in actual operation after the route driving plan is formulated; the operation reliability in morning and evening peak periods: the discrete degree of the one-way running time of the vehicles in the morning and evening peak periods measures the running reliability of the line, and the maximum value of the standard deviation of the running time of the vehicles in the ascending or descending morning and evening peak periods is taken.
Line passenger flow volume index: the distribution rule of the lines on time, direction and section is analyzed by using line passenger flow data, the condition of line peak-to-peak full load rate is analyzed, the balance of line passenger flow distribution is evaluated, and the rationality of line operation scheduling is further analyzed. The following table 3 is a classification and scoring standard for the line passenger flow indexes:
TABLE 3
Figure BDA0003098283080000071
Wherein, the time imbalance coefficient: and respectively calculating time imbalance coefficients corresponding to the uplink and the downlink, and finally evaluating the maximum value between the uplink and the downlink.
Figure BDA0003098283080000072
The uplink calculation is similar. Value of time imbalance coefficient: (<1.7): the passenger flow distribution of the line uplink in each time period (1 hour) is more balanced; the time imbalance coefficient value (1.7-2): the passenger flow distribution of the line ascending in each time period (1 hour) is unbalanced; value of time imbalance coefficient: (>2): the unbalanced degree of the passenger flow distribution of the line ascending in each time period (1 hour) is large, the transportation capacity needs to be increased in the peak time period to meet the traveling demands of passengers, the transportation capacity is properly reduced in the low peak time period, and the average full load rate of vehicles is improved.
Figure BDA0003098283080000073
The calculation mode of the imbalance coefficient of the descending section is similar. Value of imbalance coefficient: (<1.3): passenger flow distribution of each section of the line descending is relatively balanced; imbalance coefficient value (1.3-1.5): the passenger flow distribution of each section of the descending line is not balanced, and the passenger distribution degree is not uniform; value of imbalance coefficient: (>1.5): the unbalanced degree of passenger flow of each section of a descending line is larger, some sections are very crowded, the passenger flow of some sections is less, and the transportation capacity of the maximum passenger flow section is enhanced by means of additionally sending vehicles in a district, express trains and the like at the maximum section; the line stations are not reasonably arranged, and the line needs to be adjusted.
Figure BDA0003098283080000074
Wherein the value of imbalance coefficient: (<1.4): lineThe passenger flow distribution in the uplink and downlink directions is relatively balanced; imbalance coefficient value (1.4-1.5): the passenger flow distribution in the uplink and downlink directions of the line is unbalanced; value of imbalance coefficient: (>1.5): the degree of imbalance of passenger flow distribution in the uplink and downlink directions of the line is larger, the daily average uplink passenger flow is larger/smaller than the daily average downlink passenger flow, the transportation capacity needs to be added to the direction with large passenger flow, and the direction with small passenger flow is reduced.
Line service and safety index: the indexes include public complaint amount, crowdedness during peak hours and liability accident amount. Public complaint volume and responsible accident volume can be obtained from the system, and the congestion degree of the vehicles installed in the peak period can be obtained through the passenger flow system. Table 4 below is a classification and scoring criterion for line services and safety indicators:
TABLE 4
Figure BDA0003098283080000081
2. And (3) grading system: the total score is 100, wherein the line passenger flow volume index is applicable to the line provided with the passenger flow counting device (the line provided with the passenger flow counting device has a vehicle occupation ratio of more than 95%), and the occupation ratio of each index is shown in fig. 1 and fig. 2.
Although the preferred embodiments of the present patent have been described in detail, the present patent is not limited to the above embodiments, and various changes can be made without departing from the spirit of the present patent within the knowledge of those skilled in the art.

Claims (6)

1. A bus operation index classification and evaluation method is characterized by comprising the following steps:
s1 classifies the evaluation indices: dividing the comprehensive evaluation of the bus operation line into the following evaluation indexes, namely a line basic data index, a line operation data index, a line passenger flow index, a line service and a safety index;
(1) line basic data index: dividing the data into indexes of three different road sections of a bus rapid transit line, a trunk line and a branch line;
(2) line operational data index: evaluating the rationality of the actual operation of the line by using the actual operation data of the line; the indexes include: the system comprises a working hour utilization rate, a mileage utilization rate, a plan instruction modification rate, a right-of-way departure rate, a train number cashing rate, a whole journey punctuality rate and an average operation speed in morning and evening peak periods;
(3) line passenger flow volume index: analyzing the distribution rule of lines in time, direction and section by using line passenger flow data, analyzing the high-peak-load rate condition of the lines, evaluating the balance of line passenger flow distribution and further analyzing the rationality of line operation scheduling; the indexes include: time unbalance coefficient, section unbalance coefficient, direction unbalance coefficient, average full load rate in peak period;
(4) line service and safety index: the indexes comprise public complaint amount, crowdedness degree in peak hours and responsible accident amount; public complaint volume and responsible accident volume can be obtained from the system, and the congestion degree of the vehicles installed in the peak period can be obtained through the passenger flow system.
S2, dividing the calculated index value into 5 evaluation grades and score grades;
s3, dividing different index weights, calculating the line score, and evaluating the line operation according to the line score.
2. The method for classifying and evaluating bus operation indexes according to claim 1, wherein in the line basic data indexes of the step S1, the main purpose of the bus rapid transit line is to improve the traveling efficiency of residents, so that the traveling time of passengers is shortened, the direct performance of the line is ensured, the line length is longer, and the nonlinear coefficient is lower; the main trunk line mainly aims to be used as a supplementary travel mode for connecting rail transit and BRT (bus rapid transit) in the future, generally refers to medium-short distance travel and undertakes travel in areas where the rail transit and the BRT cannot be involved; the branch lines mainly provide travel services for residential districts in remote areas and passengers in areas uncovered by the BRT and the common lines, so that the branch lines are ensured to have more transfer stations connected with the BRT and the common lines.
3. The method as claimed in claim 1, wherein the planned command modification rate in the line operation data index of step S1 is as follows: the ratio of the number of times of modification to the meta-plan departure time point to the total departure times in actual operation after the route driving plan is formulated;
the operation reliability in morning and evening peak periods: the discrete degree of the one-way running time of the vehicles in the morning and evening peak periods measures the running reliability of the line, and the maximum value of the standard deviation of the running time of the vehicles in the ascending or descending morning and evening peak periods is taken.
4. The method for classifying and evaluating bus operation indexes according to claim 1, wherein in the line passenger flow indexes of step S1:
Figure FDA0003098283070000021
value of time imbalance coefficient<1.7: the passenger flow distribution of the line in each time period is more balanced; the time imbalance coefficient value is 1.7-2: the passenger flow distribution of the line uplink in each time interval is unbalanced; value of time imbalance coefficient>2: the unbalanced degree of the passenger flow distribution of the line ascending at each time interval is larger, the transport capacity needs to be increased at the peak time interval to meet the traveling demands of passengers, the transport capacity is properly reduced at the low peak time interval, and the average full load rate of the vehicle is improved.
5. The method for classifying and evaluating bus operation indexes according to claim 1, wherein in the line passenger flow indexes of step S1:
Figure FDA0003098283070000022
value of imbalance coefficient<1.3: passenger flow distribution of each section of the line is balanced; the unbalance coefficient value is 1.3-1.5: passenger flow distribution on each section of the line is not balanced, and passenger distribution degree is not uniform; value of imbalance coefficient>1.5: the unbalanced degree of passenger flow of each section of the line is larger, and some sections are tenThe method is characterized in that congestion is divided, the passenger flow of some road sections is less, and the transportation capacity of the maximum passenger flow section is enhanced in a mode of additionally sending a compartment car, a express train and the like at the maximum section; the line stations are not reasonably arranged, and the line needs to be adjusted.
6. The method for classifying and evaluating bus operation indexes according to claim 1, wherein in the line passenger flow indexes of step S1:
Figure FDA0003098283070000023
wherein the value of the imbalance coefficient<1.4: the passenger flow distribution in the uplink and downlink directions of the line is relatively balanced; the unbalance coefficient value is 1.4-1.5: the passenger flow distribution in the uplink and downlink directions of the line is unbalanced; value of imbalance coefficient>1.5: the degree of imbalance of passenger flow distribution in the uplink and downlink directions of the line is larger, the daily average uplink passenger flow is larger/smaller than the daily average downlink passenger flow, the transportation capacity needs to be added to the direction with large passenger flow, and the direction with small passenger flow is reduced.
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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114444981A (en) * 2022-04-07 2022-05-06 深圳市城市交通规划设计研究中心股份有限公司 Traffic route health index determination method, calculation device and storage medium
CN115465336A (en) * 2022-08-29 2022-12-13 通号万全信号设备有限公司 Tramcar operation diagram-based method and device for counting driver and passenger driving data
CN115759535A (en) * 2022-11-22 2023-03-07 北京轨道交通路网管理有限公司 Method and device for analyzing rail transit running chart
CN116051173A (en) * 2023-03-30 2023-05-02 安徽交欣科技股份有限公司 Passenger flow prediction method, passenger flow prediction system and bus dispatching method
CN116993231A (en) * 2023-09-27 2023-11-03 深圳市海成智联科技有限公司 Public transportation operation system quality evaluation method and system

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114444981A (en) * 2022-04-07 2022-05-06 深圳市城市交通规划设计研究中心股份有限公司 Traffic route health index determination method, calculation device and storage medium
CN115465336A (en) * 2022-08-29 2022-12-13 通号万全信号设备有限公司 Tramcar operation diagram-based method and device for counting driver and passenger driving data
CN115759535A (en) * 2022-11-22 2023-03-07 北京轨道交通路网管理有限公司 Method and device for analyzing rail transit running chart
CN115759535B (en) * 2022-11-22 2023-07-11 北京轨道交通路网管理有限公司 Rail transit operation chart analysis method and device
CN116051173A (en) * 2023-03-30 2023-05-02 安徽交欣科技股份有限公司 Passenger flow prediction method, passenger flow prediction system and bus dispatching method
CN116051173B (en) * 2023-03-30 2023-06-30 安徽交欣科技股份有限公司 Passenger flow prediction method, passenger flow prediction system and bus dispatching method
CN116993231A (en) * 2023-09-27 2023-11-03 深圳市海成智联科技有限公司 Public transportation operation system quality evaluation method and system
CN116993231B (en) * 2023-09-27 2024-01-16 深圳市海成智联科技有限公司 Public transportation operation system quality evaluation method and system

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