Comprehensive evaluation method and system for travel comfort of automatic driving passenger car

Abstract

The invention discloses a comprehensive evaluation method and system for travel comfort of an automatic driving passenger car, and relates to the field of travel comfort evaluation. Subjective weight data and objective evaluation weight data of a passenger for each type of travel comfort evaluation index in a travel comfort evaluation index type set are calculated; according to the method, subjective scoring data and objective data of each type of travel comfort evaluation index of the to-be-evaluated automatic driving passenger car are obtained, and then the travel comfort evaluation grade of the to-be-evaluated automatic driving passenger car is obtained, so that comprehensive evaluation of the travel comfort of the automatic driving passenger car is realized by adopting a subjective and objective combination mode, and the evaluation efficiency of the travel comfort of the to-be-evaluated automatic driving passenger car is improved. The comprehensive evaluation of the travel comfort of the automatic driving passenger car is more accurate; and the evaluation index and the evaluation index weight are calculated by adopting the actual operation condition data of the vehicle, so that the travel comfort evaluation of the automatic driving passenger vehicle based on objective data is realized, and the evaluation is objective.

Description

Technical Field

[0001] The present invention belongs to the field of travel comfort evaluation, and more specifically, particularly relates to a comprehensive evaluation method and system for travel comfort of an autonomous driving passenger vehicle. Background Art

[0002] The application of autonomous driving technology in the field of transportation services is still in the demonstration and exploration stage. The driving ability of AI drivers needs to be further improved compared with human drivers. The quality of transportation services does not meet the needs of passengers. It is urgent to improve the quality of transportation services based on the actual evaluation and feedback of passengers. The existing evaluation methods for travel comfort of autonomous driving passenger cars are mostly simple scoring evaluations, such as star scoring with a full score of 5 stars. These cannot reflect the real problems of passenger comfort during travel and have no practical effect on improving the quality of transportation services of autonomous driving passenger cars. Summary of the invention

[0003] In response to the problems in the related technology, the present invention proposes a comprehensive evaluation method and system for the travel comfort of an autonomous driving passenger car to overcome the above-mentioned technical problems existing in the existing related technology.

[0004] In order to solve the above technical problems, the present invention is achieved through the following technical solutions:

[0005] The present invention provides a comprehensive evaluation method for the travel comfort of an autonomous driving passenger vehicle, comprising the following steps:

[0006] S1. Setting several types of travel comfort evaluation index types for autonomous driving passenger vehicles to obtain a travel comfort evaluation index type set;

[0007] S2. Calculate the subjective weight data and objective evaluation weight data of passengers for each type of travel comfort evaluation index in the travel comfort evaluation index type set, and obtain a first subjective weight data set, a second subjective weight data set, a third subjective weight data set, and an objective evaluation weight set of travel comfort evaluation indexes;

[0008] S3. Setting a number of travel comfort evaluation levels and corresponding travel comfort score intervals;

[0009] S4. Obtaining subjective scoring data and objective data of each type of travel comfort evaluation index of the autonomous driving passenger car to be evaluated, and calculating the comprehensive evaluation score of the autonomous driving passenger car to be evaluated in combination with the subjective weight data and objective evaluation weight data of each type of travel comfort evaluation index to obtain the current comprehensive evaluation average score; obtaining the travel comfort evaluation grade of the autonomous driving passenger car to be evaluated according to the current comprehensive evaluation average score, the travel comfort evaluation grade, and the corresponding travel comfort score range;

[0010] A combination of subjective and objective methods is used to achieve a comprehensive evaluation of the travel comfort of autonomous passenger vehicles, making the comprehensive evaluation of the travel comfort of autonomous passenger vehicles more accurate; among them, by calculating the subjective weight data of passengers for each type of travel comfort evaluation index in the travel comfort evaluation index type set and the objective evaluation weight data, a basis for calculating the subsequent calculation of the subjective comprehensive score of passengers in the autonomous passenger vehicle to be evaluated is provided; by calculating the objective evaluation weight set of travel comfort evaluation indicators, a basis for calculating the subsequent calculation of the objective comprehensive score of the autonomous passenger vehicle to be evaluated is provided.

[0011] Preferably, the S1 comprises the following steps:

[0012] S11. Set several types of travel comfort evaluation index types for autonomous driving passenger vehicles, and obtain a travel comfort evaluation index type set a = {a1, ..., a i ,...,a a′}, a i represents the set i-th type of travel comfort evaluation index, a′ represents the total number of set travel comfort evaluation index types;

[0013] S12. Set several age intervals to obtain an age interval set. They represent under 30 years old, 30 to 60 years old, and over 60 years old respectively; set several subjective importance scales to obtain the subjective importance scale set represents the i-th subjective importance scale of the setting;

[0014] Since passengers of different ages have different experiences of travel comfort, this solution divides passengers into different age groups, so that the passenger subjective weight values ​​calculated subsequently are more accurate.

[0015] Preferably, S2 comprises the following steps:

[0016] S21, in conjunction with the age range set, the travel comfort evaluation index type set and the subjective importance scale set, set the subjective weight data of passengers corresponding to each age range for each type of travel comfort evaluation index, and obtain a first subjective weight data set, a second subjective weight data set and a third subjective weight data set;

[0017] S22. Calculate the objective evaluation weight of each type of travel comfort evaluation index by collecting travel comfort evaluation index data of a number of autonomous driving passenger car samples in conjunction with the travel comfort evaluation index type set, and obtain the travel comfort evaluation index objective evaluation weight set;

[0018] The travel comfort of passenger cars is comprehensively evaluated from two perspectives: the subjective perspective of passengers in passenger cars and the objective data of travel comfort evaluation indicators of passenger cars actually collected, which improves the comprehensiveness and accuracy of the evaluation.

[0019] Preferably, the S21 comprises the following steps:

[0020] S211, obtain the mean of the subjective importance scale data of several passengers in each age range for each travel comfort evaluation index and calculate the corresponding judgment matrix to obtain the current subjective importance judgment matrix set The subjective importance judgment matrices of several passengers under 30 years old, between 30 and 60 years old, and over 60 years old for the autonomous driving passenger vehicle to be evaluated are respectively as follows:

[0021]

[0022] in, Respectively represent the importance data of the travel comfort evaluation index of the i-th type of passengers under 30 years old, between 30 and 60 years old, and over 60 years old relative to the travel comfort evaluation index of the j-th type;

[0023] S212, solving each current subjective importance judgment matrix in the current subjective importance judgment matrix set to obtain a first subjective weight data set b1={b 11 ,...,b 1j ,...,b 1a′}, Second subjective weight dataset

[0024] b2={b 21 ,...,b 2j ,...,b 2a′} and the third subjective weight data set b3 = {b 31 ,...,b 3j ,...,b 3a′}; b 1j 、b 2j 、b 3j They represent the subjective weight data of the passengers under 30 years old, between 30 and 60 years old, and over 60 years old for the i-th type of travel comfort evaluation index; the calculation formulas are as follows:

[0025]

[0026] Preferably, the S22 comprises the following steps:

[0027] S221. Set a number of autonomous driving passenger car samples to obtain an autonomous driving passenger car sample set;

[0028] S222, in conjunction with the travel comfort evaluation index type set and the autonomous driving passenger car sample set, collect each type of travel comfort evaluation index data corresponding to each autonomous driving passenger car sample to obtain a travel comfort evaluation index sample data matrix b′; as follows,

[0029]

[0030] Among them, b i ' j represents the j-th type of travel comfort evaluation index data corresponding to the i-th autonomous driving passenger car sample collected, Represents the total number of set autonomous driving passenger car samples;

[0031] S223. Calculate the objective evaluation weight of each type of travel comfort evaluation index according to the travel comfort evaluation index sample data matrix to obtain a travel comfort evaluation index objective evaluation weight set.

[0032] Preferably, the S223 comprises the following steps:

[0033] S2231. In conjunction with the travel comfort evaluation index type set, the travel comfort evaluation index sample data corresponding to the travel comfort evaluation index types with larger values ​​corresponding to higher travel comfort and the travel comfort evaluation index types with smaller values ​​corresponding to higher travel comfort in the travel comfort evaluation index sample data matrix are respectively subjected to positive index standardization and negative index standardization to obtain a standardized travel comfort evaluation index sample data matrix c; as follows,

[0034]

[0035] Among them, c ij Indicates b i ' j The data obtained after normalization; the calculation formulas for the positive index normalization and the negative index normalization are as follows:

[0036]

[0037] In the formula, Respectively represent b i ' j Data obtained after normalization of positive indicators and negative indicators;

[0038] S2232, calculating the numerical proportion of each travel comfort evaluation index sample data in the standardized travel comfort evaluation index sample data matrix, and obtaining the evaluation index numerical proportion data matrix c′; as follows,

[0039]

[0040] Among them, c i ' j Indicates c ij The corresponding numerical weight data; the calculation formula is as follows,

[0041]

[0042] S2233. Calculate the objective evaluation weight of each type of travel comfort evaluation index according to the evaluation index numerical weight data matrix to obtain the objective evaluation weight set of the travel comfort evaluation index.

[0043] Preferably, the S2233 includes the following steps:

[0044] S22331. Calculate the entropy value of each type of travel comfort evaluation index according to the evaluation index numerical weight data matrix to obtain the travel comfort evaluation index entropy value set It represents the entropy value of the j-th type of travel comfort evaluation index; the calculation formula is as follows,

[0045]

[0046] S22332. Calculate the variation index of each type of travel comfort evaluation index according to the travel comfort evaluation index entropy value set to obtain a travel comfort evaluation index variation index set. Represents the variation index of the j-th type of travel comfort evaluation index; the calculation formula is as follows,

[0047]

[0048] S22333. Calculate the objective evaluation weight of each type of travel comfort evaluation index according to the travel comfort evaluation index variation index set, and obtain the travel comfort evaluation index objective evaluation weight set It represents the objective evaluation weight of the j-th type of travel comfort evaluation index; the calculation formula is as follows:

[0049]

[0050] Preferably, S3 comprises the following steps:

[0051] S31, setting a number of travel comfort evaluation levels and corresponding travel comfort score intervals, and obtaining a travel comfort evaluation level set And the travel comfort score interval set as follows,

[0052]

[0053] in, represents the set i-th travel comfort evaluation level; They respectively represent the lower limit and upper limit of the travel comfort score corresponding to the i-th travel comfort evaluation level, and d represents the total number of travel comfort evaluation levels set;

[0054] By setting several travel comfort evaluation levels and corresponding travel comfort score ranges, a basis is provided for subsequently obtaining the travel comfort level of the autonomous driving passenger car to be evaluated based on the comprehensive evaluation score.

[0055] Preferably, S4 comprises the following steps:

[0056] S41, setting an autonomous driving passenger car to be evaluated; according to the travel comfort evaluation index type set, obtaining subjective scoring data of several passengers riding in the autonomous driving passenger car to be evaluated for each type of travel comfort evaluation index, and then actually collecting travel comfort evaluation index data of each type of the autonomous driving passenger car to be evaluated, to obtain the current subjective scoring data matrix d1′ and the travel comfort evaluation index objective data set d2′; respectively as follows,

[0057] d2′={d2′1,...,d2′ j ,...,d2′ a′};

[0058] Among them, d1′ ij represents the subjective scoring data of the j-th type of travel comfort evaluation index given by the i-th passenger riding in the autonomous driving passenger car to be evaluated, represents the total number of passengers riding in the autonomous driving passenger car to be evaluated; d2′ j objective data representing the travel comfort evaluation index of the j-th type of the autonomous driving passenger vehicle to be evaluated;

[0059] S42: Calculate the subjective score value of each passenger according to the age of each passenger, the first subjective weight data set, the second subjective weight data set, the third subjective weight data set and the current subjective scoring data matrix to obtain the current subjective scoring value set. represents the subjective rating value of the i-th passenger for evaluating the autonomous driving passenger car; then, the objective evaluation score of the autonomous driving passenger car to be evaluated during operation is calculated according to the objective data set of travel comfort evaluation indicators and the objective evaluation weight set of travel comfort evaluation indicators, and the current objective evaluation score is obtained The calculation formulas are as follows:

[0060]

[0061] S43: Add each subjective score in the current subjective score set to the current objective evaluation score and calculate the average value to obtain the current comprehensive evaluation average score. The calculation formula is as follows,

[0062]

[0063] The travel comfort evaluation grade of the autonomous driving passenger vehicle to be evaluated is obtained according to the current comprehensive evaluation average score, the travel comfort evaluation grade set, and the travel comfort scoring interval set.

[0064] A comprehensive evaluation system for travel comfort of an autonomous driving passenger car comprises a travel comfort evaluation index type setting module, a subjective weight data calculation module, an objective evaluation weight calculation module, a travel comfort evaluation grade setting module, a current passenger scoring data acquisition module, a current passenger car travel comfort evaluation index objective data collection module, a current travel comfort comprehensive score calculation module and a current travel comfort evaluation grade acquisition module.

[0065] The present invention has the following beneficial effects:

[0066] 1. The present invention realizes the comprehensive evaluation of the travel comfort of the autonomous driving passenger car by adopting a combination of subjective and objective methods, making the comprehensive evaluation of the travel comfort of the autonomous driving passenger car more accurate.

[0067] 2. The present invention constructs an evaluation index system covering seat spacing, seat softness, in-car temperature, in-car humidity, in-car noise, in-car odor, number of emergency braking, number of emergency starts, driving stability and other indicators, and considers the travel comfort of passenger cars from multiple aspects, making the final evaluation result more accurate.

[0068] 3. In the present invention, the evaluation index and the weight of the evaluation index are calculated by using the actual vehicle operating status data, so as to realize the travel comfort evaluation of the autonomous driving passenger car based on objective data, so that the evaluation is objective.

[0069] 4. The evaluation results in the present invention can reflect the real problems of passenger comfort during travel and provide a reference for improving the quality of transportation services of autonomous driving passenger vehicles.

[0070] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0071] In order to more clearly illustrate the technical solutions of the embodiments of the invention, the drawings required for describing the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0072] Figure 1 This is a module schematic diagram of a comprehensive evaluation system for travel comfort of an autonomous driving passenger vehicle according to the present invention;

[0073] Figure 2 A schematic diagram of a process for calculating subjective evaluation index weights and objective evaluation index weights in the present invention;

[0074] Figure 3 The present invention is a flowchart of a method for comprehensively evaluating the travel comfort of an autonomous driving passenger vehicle. DETAILED DESCRIPTION

[0075] The following will be combined with the drawings in the embodiments of the invention to clearly and completely describe the technical solutions in the embodiments of the invention. Obviously, the described embodiments are only part of the embodiments of the invention, not all of the embodiments. Based on the embodiments in the invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the invention.

[0076] Embodiment 1

[0077] See also Figure 2-3 , this embodiment is a comprehensive evaluation method for the travel comfort of an autonomous driving passenger vehicle, comprising the following steps:

[0078] S1. Setting several types of travel comfort evaluation index types for autonomous driving passenger vehicles to obtain a travel comfort evaluation index type set;

[0079] The S1 comprises the following steps:

[0080] S11. Set several types of travel comfort evaluation index types for autonomous driving passenger vehicles, and obtain a travel comfort evaluation index type set a = {a1, ..., a i ,...,a a′}, a irepresents the set i-th type of travel comfort evaluation index, a′ represents the total number of the set travel comfort evaluation index types; the travel comfort evaluation index types include seat spacing, i.e., the width between the front seat backrest and the rear seat backrest of the vehicle, seat softness, i.e., the height of the vehicle seat when a 50kg standard weight is placed, in-car temperature, i.e., the average value of the actual temperature in the car during the passenger travel, in-car humidity, i.e., the average value of the actual humidity in the car during the passenger travel, in-car noise, i.e., the average value (decibel) of the actual noise in the car during the passenger travel, in-car odor, i.e., the average value of the actual odor in the car during the passenger travel, emergency braking number, i.e., the emergency braking number of the autonomous driving passenger car during the passenger travel, emergency starting number, i.e., the emergency starting number of the autonomous driving passenger car during the passenger travel, and driving stability, i.e., the standard deviation of the driving speed of the autonomous driving passenger car during the passenger travel; the data corresponding to the above travel comfort evaluation index types can be obtained by questionnaire survey and passenger inquiry;

[0081] S12. Set several age intervals to obtain an age interval set. They represent under 30 years old, 30 to 60 years old, and over 60 years old respectively; set several subjective importance scales to obtain the subjective importance scale set represents the i-th subjective importance scale set; each subjective importance scale in the subjective importance scale set is a natural number, and a larger value of the subjective importance scale indicates that one travel comfort evaluation index is more important than another travel comfort evaluation index; when the subjective importance scale is 1, it indicates that the two travel comfort evaluation indicators are equally important;

[0082] S2. Calculate the subjective weight data and objective evaluation weight data of passengers for each type of travel comfort evaluation index in the travel comfort evaluation index type set, and obtain a first subjective weight data set, a second subjective weight data set, a third subjective weight data set, and an objective evaluation weight set of travel comfort evaluation indexes;

[0083] The S2 comprises the following steps:

[0084] S21, in conjunction with the age range set, the travel comfort evaluation index type set and the subjective importance scale set, set the subjective weight data of passengers corresponding to each age range for each type of travel comfort evaluation index, and obtain a first subjective weight data set, a second subjective weight data set and a third subjective weight data set;

[0085] The S21 comprises the following steps:

[0086] S211, obtain the mean of the subjective importance scale data of several passengers in each age range for each travel comfort evaluation index and calculate the corresponding judgment matrix to obtain the current subjective importance judgment matrix set The subjective importance judgment matrices of several passengers under 30 years old, between 30 and 60 years old, and over 60 years old for the autonomous driving passenger vehicle to be evaluated are respectively as follows:

[0087]

[0088] in, Respectively represent the importance data of the travel comfort evaluation index of the i-th type of passengers under 30 years old, between 30 and 60 years old, and over 60 years old relative to the travel comfort evaluation index of the j-th type;

[0089] S212, solving each current subjective importance judgment matrix in the current subjective importance judgment matrix set to obtain a first subjective weight data set b1={b 11 ,...,b 1j ,...,b 1a′}, Second subjective weight dataset

[0090] b2={b 21 ,...,b 2j ,...,b 2a′} and the third subjective weight data set b3 = {b 31 ,...,b 3j ,...,b 3a′}; b 1j , b 2j , b 3j They represent the subjective weight data of the passengers under 30 years old, between 30 and 60 years old, and over 60 years old for the i-th type of travel comfort evaluation index; the calculation formulas are as follows:

[0091]

[0092] S22. Calculate the objective evaluation weight of each type of travel comfort evaluation index by collecting travel comfort evaluation index data of a number of autonomous driving passenger car samples in conjunction with the travel comfort evaluation index type set, and obtain the travel comfort evaluation index objective evaluation weight set;

[0093] The S22 comprises the following steps:

[0094] S221. Set a number of autonomous driving passenger car samples to obtain an autonomous driving passenger car sample set;

[0095] S222, in conjunction with the travel comfort evaluation index type set and the autonomous driving passenger car sample set, collect each type of travel comfort evaluation index data corresponding to each autonomous driving passenger car sample to obtain a travel comfort evaluation index sample data matrix b′; as follows,

[0096]

[0097] Among them, b i ' j represents the j-th type of travel comfort evaluation index data corresponding to the i-th autonomous driving passenger car sample collected, Represents the total number of set autonomous driving passenger car samples;

[0098] S223, calculating the objective evaluation weight of each type of travel comfort evaluation index according to the travel comfort evaluation index sample data matrix, and obtaining the travel comfort evaluation index objective evaluation weight set;

[0099] The S223 comprises the following steps:

[0100] S2231. In conjunction with the travel comfort evaluation index type set, the travel comfort evaluation index sample data corresponding to the travel comfort evaluation index types with larger values ​​corresponding to higher travel comfort and the travel comfort evaluation index types with smaller values ​​corresponding to higher travel comfort in the travel comfort evaluation index sample data matrix are respectively subjected to positive index standardization and negative index standardization to obtain a standardized travel comfort evaluation index sample data matrix c; as follows,

[0101]

[0102] Among them, c ij Indicates b i ' j The data obtained after normalization; the calculation formulas for the positive index normalization and the negative index normalization are as follows:

[0103]

[0104] In the formula, Respectively represent b i ' j Data obtained after normalization of positive indicators and negative indicators;

[0105] S2232, calculating the numerical proportion of each travel comfort evaluation index sample data in the standardized travel comfort evaluation index sample data matrix, and obtaining the evaluation index numerical proportion data matrix c′; as follows,

[0106]

[0107] Among them, c i ' j Indicates c ij The corresponding numerical weight data; the calculation formula is as follows,

[0108]

[0109] S2233, calculating the objective evaluation weight of each type of travel comfort evaluation index according to the evaluation index numerical weight data matrix, and obtaining the objective evaluation weight set of the travel comfort evaluation index;

[0110] The S2233 comprises the following steps:

[0111] S22331. Calculate the entropy value of each type of travel comfort evaluation index according to the evaluation index numerical weight data matrix to obtain the travel comfort evaluation index entropy value set It represents the entropy value of the j-th type of travel comfort evaluation index; the calculation formula is as follows,

[0112]

[0113] S22332. Calculate the variation index of each type of travel comfort evaluation index according to the travel comfort evaluation index entropy value set to obtain a travel comfort evaluation index variation index set. Represents the variation index of the j-th type of travel comfort evaluation index; the calculation formula is as follows,

[0114]

[0115] S22333. Calculate the objective evaluation weight of each type of travel comfort evaluation index according to the travel comfort evaluation index variation index set, and obtain the travel comfort evaluation index objective evaluation weight set It represents the objective evaluation weight of the j-th type of travel comfort evaluation index; the calculation formula is as follows:

[0116]

[0117] S3. Setting a number of travel comfort evaluation levels and corresponding travel comfort score intervals;

[0118] The S3 comprises the following steps:

[0119] S31, setting a number of travel comfort evaluation levels and corresponding travel comfort score intervals, and obtaining a travel comfort evaluation level set And the travel comfort score interval set as follows,

[0120]

[0121] in, represents the set i-th travel comfort evaluation level; They respectively represent the lower limit and upper limit of the travel comfort score corresponding to the i-th travel comfort evaluation level, and d represents the total number of travel comfort evaluation levels set;

[0122] S4. Obtaining subjective scoring data and objective data of each type of travel comfort evaluation index of the autonomous driving passenger car to be evaluated, and calculating the comprehensive evaluation score of the autonomous driving passenger car to be evaluated in combination with the subjective weight data and objective evaluation weight data of each type of travel comfort evaluation index to obtain the current comprehensive evaluation average score; obtaining the travel comfort evaluation grade of the autonomous driving passenger car to be evaluated according to the current comprehensive evaluation average score, the travel comfort evaluation grade, and the corresponding travel comfort score range;

[0123] The S4 comprises the following steps:

[0124] S41, setting an autonomous driving passenger car to be evaluated; according to the travel comfort evaluation index type set, obtaining subjective scoring data of several passengers riding in the autonomous driving passenger car to be evaluated for each type of travel comfort evaluation index, and then actually collecting travel comfort evaluation index data of each type of the autonomous driving passenger car to be evaluated, to obtain the current subjective scoring data matrix d1′ and the travel comfort evaluation index objective data set d2′; respectively as follows,

[0125] d2′={d2′1,...,d2′ j ,...,d2′ a′};

[0126] Among them, d1′ ij represents the subjective scoring data of the j-th type of travel comfort evaluation index given by the i-th passenger riding in the autonomous driving passenger car to be evaluated, represents the total number of passengers riding in the autonomous driving passenger car to be evaluated; d2′ j objective data representing the travel comfort evaluation index of the j-th type of the autonomous driving passenger vehicle to be evaluated;

[0127] S42: Calculate the subjective score value of each passenger according to the age of each passenger, the first subjective weight data set, the second subjective weight data set, the third subjective weight data set and the current subjective scoring data matrix to obtain the current subjective scoring value set. represents the subjective rating value of the i-th passenger for evaluating the autonomous driving passenger car; then, the objective evaluation score of the autonomous driving passenger car to be evaluated during operation is calculated according to the objective data set of travel comfort evaluation indicators and the objective evaluation weight set of travel comfort evaluation indicators, and the current objective evaluation score is obtained The calculation formulas are as follows:

[0128]

[0129] S43: Add each subjective score in the current subjective score set to the current objective evaluation score and calculate the average value to obtain the current comprehensive evaluation average score. The calculation formula is as follows,

[0130]

[0131] The travel comfort evaluation grade of the autonomous driving passenger vehicle to be evaluated is obtained according to the current comprehensive evaluation average score, the travel comfort evaluation grade set, and the travel comfort scoring interval set.

[0132] Embodiment 2

[0133] See also Figure 1 , this embodiment discloses a comprehensive evaluation system for travel comfort of an autonomous driving passenger car, the system can implement the method of the above embodiment, including a travel comfort evaluation index type setting module, a subjective weight data calculation module, an objective evaluation weight calculation module, a travel comfort evaluation level setting module, a current passenger scoring data acquisition module, a current passenger car travel comfort evaluation index objective data collection module, a current travel comfort comprehensive score calculation module and a current travel comfort evaluation level acquisition module;

[0134] The travel comfort evaluation index type setting module is used to set several types of travel comfort evaluation index types for autonomous driving passenger vehicles to obtain a travel comfort evaluation index type set;

[0135] The subjective weight data calculation module is used to calculate the subjective weight data of passengers of different ages for each type of travel comfort evaluation index in the travel comfort evaluation index type set, and obtain a first subjective weight data set, a second subjective weight data set, and a third subjective weight data set;

[0136] The objective evaluation weight calculation module is used to calculate the objective evaluation weight data of each type of travel comfort evaluation index in the travel comfort evaluation index type set to obtain the travel comfort evaluation index objective evaluation weight set;

[0137] The travel comfort evaluation level setting module is used to set a number of travel comfort evaluation levels and corresponding travel comfort scoring intervals to obtain a travel comfort evaluation level set and a travel comfort scoring interval set;

[0138] The current passenger scoring data acquisition module is used to obtain subjective scoring data of a number of passengers riding in the autonomous driving passenger vehicle to be evaluated for each type of travel comfort evaluation index, and obtain a current subjective scoring data matrix;

[0139] The current passenger car travel comfort evaluation index objective data collection module is used to actually collect travel comfort evaluation index data of each type of the autonomous driving passenger car to be evaluated, and obtain the travel comfort evaluation index objective data set;

[0140] The current travel comfort comprehensive score calculation module is used to calculate the comprehensive evaluation score of the autonomous driving passenger vehicle to be evaluated during operation according to the current subjective scoring data matrix, the first subjective weight data set, the second subjective weight data set, the third subjective weight data set, the travel comfort evaluation index objective data set, and the travel comfort evaluation index objective evaluation weight set to obtain the current comprehensive evaluation average score;

[0141] The current travel comfort evaluation level acquisition module is used to obtain the travel comfort evaluation level of the autonomous driving passenger vehicle to be evaluated based on the current comprehensive evaluation average score, the travel comfort evaluation level set, and the travel comfort scoring interval set.

[0142] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0143] The preferred embodiments of the invention disclosed above are only used to help explain the invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to the specific implementation methods described. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the invention, so that those skilled in the art can understand and use the invention well.

Claims

1. A comprehensive evaluation method for the travel comfort of an autonomous driving passenger vehicle, characterized in that: The following steps are involved: S1. Setting several types of travel comfort evaluation index types for autonomous driving passenger vehicles to obtain a travel comfort evaluation index type set; S2. Calculate the subjective weight data and objective evaluation weight data of passengers for each type of travel comfort evaluation index in the travel comfort evaluation index type set, and obtain a first subjective weight data set, a second subjective weight data set, a third subjective weight data set, and an objective evaluation weight set of travel comfort evaluation indexes; S3. Setting a number of travel comfort evaluation levels and corresponding travel comfort score intervals; S4. Obtain the subjective scoring data and objective data of each type of travel comfort evaluation index of the autonomous driving passenger car to be evaluated, and calculate the comprehensive evaluation score of the autonomous driving passenger car to be evaluated in combination with the subjective weight data and objective evaluation weight data of each type of travel comfort evaluation index to obtain the current comprehensive evaluation average score; obtain the travel comfort evaluation grade of the autonomous driving passenger car to be evaluated based on the current comprehensive evaluation average score, the travel comfort evaluation grade and the corresponding travel comfort score range.

2. The method for comprehensive evaluation of travel comfort of an autonomous driving passenger vehicle according to claim 1, characterized in that: The S1 comprises the following steps: S11. Setting several types of travel comfort evaluation index types for autonomous driving passenger vehicles to obtain a travel comfort evaluation index type set; S12. Set several age intervals to obtain an age interval set; set several subjective importance scales to obtain a subjective importance scale set.

3. The method for comprehensive evaluation of travel comfort of an autonomous driving passenger vehicle according to claim 2, characterized in that: The S2 comprises the following steps: S21, in conjunction with the age range set, the travel comfort evaluation index type set and the subjective importance scale set, set the subjective weight data of passengers corresponding to each age range for each type of travel comfort evaluation index, and obtain a first subjective weight data set, a second subjective weight data set and a third subjective weight data set; S22. In conjunction with the travel comfort evaluation index type set, the objective evaluation weight of each type of travel comfort evaluation index is calculated by collecting travel comfort evaluation index data of a number of autonomous driving passenger car samples to obtain an objective evaluation weight set of travel comfort evaluation indicators.

4. The method for comprehensive evaluation of travel comfort of an autonomous driving passenger vehicle according to claim 3, characterized in that: The S21 comprises the following steps: S211, obtaining the mean of the subjective importance scale data of a number of passengers in each age range for each travel comfort evaluation index and calculating the corresponding judgment matrix to obtain a current subjective importance judgment matrix set; S212: Solve each current subjective importance judgment matrix in the current subjective importance judgment matrix set to obtain a first subjective weight data set, a second subjective weight data set, and a third subjective weight data set.

5. The method for comprehensive evaluation of travel comfort of an autonomous driving passenger vehicle according to claim 4, characterized in that: The S22 comprises the following steps: S221. Set a number of autonomous driving passenger car samples to obtain an autonomous driving passenger car sample set; S222. Collecting travel comfort evaluation index data of each type corresponding to each autonomous driving passenger car sample in conjunction with the travel comfort evaluation index type set and the autonomous driving passenger car sample set, to obtain a travel comfort evaluation index sample data matrix; S223. Calculate the objective evaluation weight of each type of travel comfort evaluation index according to the travel comfort evaluation index sample data matrix to obtain a travel comfort evaluation index objective evaluation weight set.

6. A comprehensive evaluation method for travel comfort of an autonomous driving passenger vehicle according to claim 5, characterized in that: The S223 comprises the following steps: S2231. In conjunction with the travel comfort evaluation index type set, for the travel comfort evaluation index sample data corresponding to the travel comfort evaluation index type with a larger value corresponding to a higher travel comfort and the travel comfort evaluation index type with a smaller value corresponding to a higher travel comfort in the travel comfort evaluation index sample data matrix, positive index standardization and negative index standardization are performed to obtain a standardized travel comfort evaluation index sample data matrix; S2232, calculating the numerical proportion of each travel comfort evaluation index sample data in the standardized travel comfort evaluation index sample data matrix, and obtaining the evaluation index numerical proportion data matrix; S2233. Calculate the objective evaluation weight of each type of travel comfort evaluation index according to the evaluation index numerical weight data matrix to obtain the objective evaluation weight set of the travel comfort evaluation index.

7. The method for comprehensive evaluation of travel comfort of an autonomous driving passenger vehicle according to claim 6, characterized in that: The S2233 comprises the following steps: S22331. Calculate the entropy value of each type of travel comfort evaluation index according to the evaluation index numerical weight data matrix to obtain an entropy value set of travel comfort evaluation indexes; S22332. Calculate the variation index of each type of travel comfort evaluation index according to the travel comfort evaluation index entropy value set to obtain a travel comfort evaluation index variation index set; S22333. Calculate the objective evaluation weight of each type of travel comfort evaluation index according to the travel comfort evaluation index variation index set to obtain the travel comfort evaluation index objective evaluation weight set.

8. The method for comprehensive evaluation of travel comfort of an autonomous driving passenger vehicle according to claim 7, characterized in that: The S3 comprises the following steps: S31. Set a number of travel comfort evaluation levels and corresponding travel comfort scoring intervals to obtain a travel comfort evaluation level set and a travel comfort scoring interval set.

9. The method for comprehensive evaluation of travel comfort of an autonomous driving passenger vehicle according to claim 8, characterized in that: The S4 comprises the following steps: S41, setting an autonomous driving passenger car to be evaluated; obtaining subjective scoring data of a number of passengers riding in the autonomous driving passenger car to be evaluated for each type of travel comfort evaluation index in accordance with the travel comfort evaluation index type set, and then actually collecting travel comfort evaluation index data of each type of the autonomous driving passenger car to be evaluated to obtain a current subjective scoring data matrix and an objective data set of travel comfort evaluation indexes; S42, calculating the subjective score of each passenger according to the age of each passenger, the first subjective weight data set, the second subjective weight data set, the third subjective weight data set and the current subjective scoring data matrix, and obtaining a current subjective score value set; and then calculating the objective evaluation score of the autonomous driving passenger vehicle to be evaluated during operation according to the travel comfort evaluation index objective data set and the travel comfort evaluation index objective evaluation weight set, and obtaining a current objective evaluation score; S43, adding each subjective scoring value in the current subjective scoring value set to the current objective evaluation score and calculating the average value to obtain the current comprehensive evaluation average score; The travel comfort evaluation grade of the autonomous driving passenger vehicle to be evaluated is obtained according to the current comprehensive evaluation average score, the travel comfort evaluation grade set, and the travel comfort scoring interval set.

10. A system for implementing a comprehensive evaluation method for travel comfort of an autonomous driving passenger vehicle as described in any one of claims 1-9.

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