Simulation method for cognitive attitude of traveler on shared automatic driving vehicle under influence of multiple information dissemination

Abstract

The invention discloses a method for simulating the cognitive attitude of a traveler on a shared automatic driving vehicle under the influence of multiple information dissemination. The method comprises the following three main steps of: 1, determining an input item of an information propagation model so as to construct an information propagation environment; 2, simulating a traveler type conversion process after single information propagation, and calculating a traveler type proportion after single information propagation after analyzing the influence of information propagation on the traveler type conversion process; and 3, performing interactive simulation on multiple information spreading processes. According to the multi-time interactive simulation technology for the information influence and the cognitive attitude of the shared automatic driving vehicle, interactive simulation of a traveler on cognitive state changes of the shared automatic driving vehicle under the influence of multi-time information propagation is achieved. Through simulation analysis of multiple information iteration propagation, long-term evolution fitting of a traveler on the cognitive attitude of the shared automatic driving automobile is realized, and a traffic manager can take corresponding measures based on the long-term evolution fitting to guide the traveler to select the shared automatic driving automobile.

Description

Technical Field

[0001] The present invention relates to the field of simulation analysis of travel mode selection behavior, and more particularly to a method for simulating travelers' cognitive attitudes toward shared autonomous vehicles under the influence of multiple information disseminations. Background Art

[0002] In this information age, information dissemination influences people's perceptions and attitudes, especially when new things first emerge. Shared autonomous vehicles, as a new mode of transportation, combine autonomous driving with shared features, effectively alleviating traffic congestion and environmental pollution by improving driving and transportation efficiency. Whether shared autonomous vehicles can effectively leverage their advantages in the transportation system depends on whether travelers choose them as a mode of transportation, and travelers' attitudes toward shared autonomous vehicles significantly influence their mode of transportation. Therefore, it is important to conduct simulation analyses of travelers' perceptions and attitudes toward shared autonomous vehicles, taking into account multiple information influences.

[0003] A search revealed that existing simulation techniques for changes in travel mode perceptions primarily consider traditional factors such as socioeconomic attributes. Patent CN116362513A integrates relevant data such as real-time vehicle location, traffic flow, weather conditions, in-vehicle environment information, and passenger preferences. Using machine learning algorithms, it found that factors influencing passengers' willingness to share rides include travel time, destination, route, and cost. Patent CN119624556A uses sociodemographic characteristics, travel characteristics, the shared car environment, and latent variables of travel attitudes as independent variables, and passenger satisfaction with shared car services as the dependent variable, employing a partial partial proportion model to fit the relationship between the independent and dependent variables. The paper "A Study on Youth's Intention to Share Shared Autonomous Vehicles" employed structural equation analysis to identify factors influencing willingness to share shared autonomous vehicles across different age groups. Specifically, the intention to share shared autonomous vehicles among youth aged 18-22 and 23-29 is influenced by attitudes and perceived usefulness. Existing research has not considered the impact of information dissemination on the formation of shared autonomous vehicle perceptions, nor has it examined the long-term changes in travelers' attitudes towards shared autonomous vehicles after repeated information dissemination.

[0004] Based on the above background, by collecting travelers' cognitive attitude data towards shared autonomous vehicles, a multiple interactive simulation technology for information dissemination and cognitive attitudes towards shared autonomous vehicles is developed on this basis. This will help to take corresponding measures to promote the popularization and application of shared autonomous vehicles, so that they can play a role in alleviating traffic congestion and environmental pollution. Summary of the Invention

[0005] The technical problem to be solved by the present invention is to address the shortcomings of existing technologies and propose a simulation method for travelers' cognitive attitudes towards shared autonomous vehicles under the influence of multiple information disseminations. By integrating online and offline data, the method can achieve the fitting of changes in travelers' cognitive attitudes towards shared autonomous vehicles under the influence of information, and provide theoretical and technical support for traffic managers to implement corresponding guidance measures.

[0006] The present invention is achieved by adopting the following technical solutions, which are described as follows:

[0007] Step 1: Determine the input items of the information diffusion model

[0008] The parameters of the information diffusion model include the number of different types of travelers, the total number of people participating in information diffusion, the initial probability of a traveler receiving positive information, and the initial probability of a traveler receiving negative information.

[0009] According to their cognitive attitudes towards shared autonomous vehicles, the travelers in the information diffusion model are divided into five categories: , the number of which is ; unsteady supporters , the number of which is ; Firm supporters , the number of which is ; undetermined opponents , the number of which is ; staunch opponents , the number of which is The number of information transmissions is defined as , then the five types of travelers After information dissemination, the number of 、 、 、 and , defines the total number of people involved in information dissemination is the sum of the number of five types of travelers, namely ;

[0010] Information is divided into positive information and negative information, and the initial probability of a traveler receiving positive information is defined is the probability that a traveler receives positive shared autonomous vehicle information in the information network; defines the initial probability that a traveler receives negative information is the probability that a traveler receives negative information about a shared autonomous vehicle in the information network;

[0011] Step 2: Simulate the process of traveler type transformation after a single information dissemination

[0012] Step 2.1: Analyze the process of information dissemination affecting the transformation of traveler types

[0013] After receiving positive or negative information, some travelers will change their cognitive attitudes towards shared autonomous vehicles. The event of a change in traveler type is defined as a mutation. Then, after all travelers receive positive or negative information, the probability of their traveler type changing or not and the probability of their change are:

[0014] Neutral After receiving positive information, the traveler type changes to an undetermined supporter. , the probability is ;

[0015] Neutral After receiving positive information, the traveler type changes to an undetermined opponent. , the probability is ;

[0016] Neutral After receiving negative information, the traveler type changes to an undetermined opponent. , the probability is ;

[0017] Neutral After receiving negative information, the traveler type changes to an undetermined supporter. , the probability is ;

[0018] Uncommitted supporters After receiving the information, the type of travelers changed to a firm supporter , the probability is ;

[0019] Uncommitted supporters After receiving the information, the type of travelers changed to undetermined opponents. , the probability is ;

[0020] Undetermined opponents After receiving the information, the type of travelers changed to a firm opponent. , the probability is ;

[0021] Undetermined opponents After receiving the information, the traveler type changes to an undetermined supporter , the probability is ;

[0022] Step 2.2: Calculate the proportion of traveler types after a single information dissemination

[0023] The proportion of a certain type of travelers after a single information dissemination is defined as the ratio of the number of travelers of this type to the total number of people participating in the information dissemination. After information dissemination, the proportions are 、 、 、 and ,in:

[0024] Neutral Proportion ;

[0025] Percentage of supporters with undetermined attitudes ;

[0026] The proportion of undetermined opponents ;

[0027] Percentage of firm supporters ;

[0028] Percentage of those who firmly oppose ;

[0029] Step 3: Interactive simulation of multiple information dissemination processes

[0030] When information dissemination ends, the proportion of each type of traveler in the information network changes. Repeat step 2 to iteratively calculate the proportion of each traveler's cognitive attitude towards shared autonomous vehicles under the influence of information. and When the proportion is 0, the iteration of the information propagation model stops and the information propagation ends.

[0031] Furthermore, according to the method for simulating travelers' cognitive attitudes towards shared autonomous vehicles under the influence of multiple information disseminations as described in claim 1, it is characterized in that the probability of whether the traveler type has changed is obtained by fitting and calculating by obtaining the attitude data of the travelers, including but not limited to interviews, social media, etc., is 0.43, is 0.57, is 0.80, is 0.20, is 0.67, is 0.33.

[0032] Compared with the prior art, the method for simulating travelers' cognitive attitudes toward shared autonomous vehicles under the influence of multiple information disseminations described in the present invention has the following beneficial effects:

[0033] 1. This technology incorporates the influence of information into the factors influencing changes in travelers' attitudes toward shared autonomous vehicles, making it more suitable for understanding attitudes after the emergence of new transportation options in the current era of information explosion. Based on the epidemic model, it improves and optimizes the population classification to better align with actual attitude changes and more accurately capture the changes in attitudes under the influence of information.

[0034] 2. This method enables interactive simulation of changes in perceptions and attitudes under the influence of multiple information transmissions, providing a more dynamic representation of the evolving perceptions and attitudes of travelers toward shared autonomous vehicles. Information transmission within a network is neither a one-off nor a short-term event. Similarly, the implementation and promotion of shared autonomous vehicles is not a one-time, comprehensive rollout, but rather a gradual process. Through multiple, iterative interactive simulations of information transmission, we achieve a long-term process model, enabling traffic managers to take appropriate guidance measures.

[0035] 3. The method collects and compiles data on changes in travelers' cognitive attitudes toward shared autonomous vehicles from interviews and online social media, and fits the parameters of the information diffusion model based on this data, thereby enhancing the applicability of the method to the fitting model of cognitive attitudes toward shared autonomous vehicles. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 This is a general flow chart of the multiple interactive simulation technology for information influence and shared cognitive attitude of autonomous vehicles according to the present invention;

[0037] Figure 2 This is a topological structure diagram of the information propagation model described in the present invention. DETAILED DESCRIPTION

[0038] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the details of the present invention and the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0039] See Figure 1 The simulation method of the present invention for evaluating travelers' cognitive attitudes toward shared autonomous vehicles under the influence of multiple information disseminations comprises the following steps:

[0040] Step 1: Determine the input items of the information diffusion model

[0041] Before information dissemination begins, the number of different types of travelers and the total number of people participating in information dissemination, that is, the number of starting nodes, must be determined. People participating in information dissemination are divided into five categories based on their cognitive attitudes towards shared autonomous vehicles: neutral, , unsteady supporters , firm supporters , weak opponents and staunch opponents Among them, the unsteady supporters and weak opponents Initial disseminator. Neutral Because they do not have a stance, they do not spread information, but only receive information, and after receiving the information, they will definitely be influenced and change their travel type. and staunch opponents Because they have already established their positions, their attitudes are no longer easily influenced by information. These five groups of people receive and disseminate information within the information dissemination network, and in the process undergo identity transformation, that is, they change their attitudes and the degree of their firmness.

[0042] In addition, it is necessary to determine the initial probability of a traveler in the information network receiving positive information and the initial probability of a traveler receiving negative information. is the probability that a traveler receives information about a confirmed shared autonomous vehicle in the information network, is the probability that a traveler receives negative information about shared autonomous vehicles in the information network. After determining the probability of receiving different types of information as needed, the information dissemination environment is constructed.

[0043] Step 2: Simulate the process of traveler type transformation after a single information dissemination

[0044] The initial disseminator spreads the information along the network, and the information is first spread among closely connected people in the network. As the closeness of the connection decreases, the intensity of the spread gradually decreases. Once the information spreads, the traveler category changes, as follows:

[0045] 1. and process

[0046] (1) : Neutral The probability of receiving information supporting shared autonomous vehicles is , after receiving support information, they accept the support attitude and become supporters of those with undetermined attitudes The probability of , therefore, the neutral by Probability of converting undecided people into supporters ; and the neutral Opponents who do not accept supportive attitudes after receiving supportive information and become undetermined The probability of , therefore, the neutral by Probability of becoming an opponent of an undetermined attitude .

[0047] (2) : Neutral The probability of receiving information against sharing autonomous vehicles is , who accept the opposing attitude after receiving the opposing information and become the opponent of the undetermined attitude The probability of , therefore, the neutral by Probability of becoming an opponent of an undetermined attitude ; and the neutral After receiving opposing information, they do not accept the opposing attitude and become supporters of those who are not firm in their attitude The probability of , therefore, the neutral by Probability of converting undecided people into supporters .

[0048] 2. - process

[0049] In the process of information dissemination and cognitive transformation, there are cases where users first spread information in support of shared autonomous vehicles and then participate in spreading information against shared autonomous vehicles, or first spread information against shared autonomous vehicles and then participate in spreading information in support of shared autonomous vehicles. That is, there are two replacement relationships in the user dissemination status. (1) : Supporters of those with undetermined attitudes by The probability of turning into an opponent with an undetermined attitude ; (2) : Opponents of those with weak attitudes by The probability of becoming a supporter of an undecided person .

[0050] 3. and process

[0051] As information dissemination evolves, both types of disseminators gradually lose interest in both true and false information. (1) : Supporters of those with undetermined attitudes by The probability of becoming a strong supporter ; (2) Opponents of the undetermined by The probability of becoming a staunch opponent .

[0052] Step 3: Interactive simulation of multiple information dissemination processes.

[0053] Example

[0054] The present invention provides an embodiment of a method for simulating travelers' cognitive attitudes toward shared autonomous vehicles under the influence of multiple information disseminations, and provides the implementation process and test results. However, the scope of protection of the present invention is not limited to the following embodiment.

[0055] In step 1, the information dissemination environment is established. In this example, the total number of participants in the information dissemination is set to 150, that is, the number of network nodes is 150. The initial disseminators include three half-hearted supporters and three half-hearted opponents, with the remainder being neutral. The probability of receiving information that supports shared autonomous vehicles is 25%, and the probability of receiving information that denies shared autonomous vehicles is 50%. The remaining parameters are calibrated values, as shown in Table 1.

[0056] Table 1 Information propagation model parameters

[0057] Parameter name #timg# #timg# #timg# #timg# #timg# #timg# Parameter value 0.43 0.57 0.20 0.33 0.80 0.67

[0058] From step 2, a single information propagation process is fitted. Information propagates along the network, and the type of travelers changes. The topological structure of the change process can be found in Figure 2 After one round of information dissemination, the proportions of the five types of travelers changed, as shown in Table 2.

[0059] Table 2 Proportions of various attitudes at the initial stage and after the first dissemination

[0060] Number of transmissions #timg# #timg# #timg# #timg# #timg# 0 96.00% 2.00% 0.00% 2.00% 0.00% 1 60.00% 0.67% 4.67% 8.00% 26.67%

[0061] From step 3, step 2 is iterated repeatedly, and the decision to terminate the information dissemination is made by determining whether the disseminator has disappeared. In this example, the termination condition is reached after 14,150 information disseminations. Table 3 shows some interim and final results.

[0062] Table 3 Partial interim results and final results

[0063] Number of transmissions #timg# #timg# #timg# #timg# #timg# 0 96.00% 2.00% 0.00% 2.00% 0.00% 100 0.00% 12.67% 68.67% 5.33% 13.33% 1000 0.00% 11.33% 72.67% 2.00% 14.00% 10000 0.00% 13.33% 73.33% 3.33% 10.00% 14150 0.00% 0.00% 84.67% 0.00% 15.33%

[0064] In summary, the proposed method for simulating travelers' cognitive attitudes toward shared autonomous vehicles under the influence of multiple information dissemination events enables interactive simulation of changes in travelers' cognitive attitudes toward shared autonomous vehicles under the influence of multiple information dissemination events. In practical applications, this method can help traffic managers increase support for shared autonomous vehicles by adopting positive public opinion guidance policies, thereby promoting the widespread adoption of shared autonomous vehicles and leveraging their advantages to alleviate traffic problems.

Claims

1. A simulation method for travelers' cognitive attitudes toward shared autonomous vehicles under the influence of multiple information disseminations, characterized by: The following steps are involved: Step 1: Determine the input items of the information diffusion model The parameters of the information diffusion model include the number of different types of travelers, the total number of people participating in information diffusion, the initial probability of a traveler receiving positive information, and the initial probability of a traveler receiving negative information. According to their cognitive attitudes towards shared autonomous vehicles, the travelers in the information diffusion model are divided into five categories: , the number of which is ; unsteady supporters , the number of which is ; Firm supporters , the number of which is ; undetermined opponents , the number of which is ; staunch opponents , the number of which is ; Define the number of information transmissions as , then the five types of travelers After information dissemination, the number of 、 、 、 and , defines the total number of people involved in information dissemination is the sum of the number of five types of travelers, namely ; Information is divided into positive information and negative information, and the initial probability of a traveler receiving positive information is defined is the probability that a traveler receives positive shared autonomous vehicle information in the information network; defines the initial probability that a traveler receives negative information is the probability that a traveler receives negative information about a shared autonomous vehicle in the information network; Step 2: Simulate the process of traveler type transformation after a single information dissemination Step 2.1: Analyze the process of information dissemination affecting the transformation of traveler types After receiving positive or negative information, some travelers will change their cognitive attitudes towards shared autonomous vehicles. The event of a change in traveler type is defined as a mutation. The probability of whether the traveler type changes after receiving positive or negative information is as follows: Neutral After receiving positive information, the traveler type changes to an undetermined supporter. , the probability is ; Neutral After receiving positive information, the traveler type changes to an undetermined opponent. , the probability is ; Neutral After receiving negative information, the traveler type changes to an undetermined opponent. , the probability is ; Neutral After receiving negative information, the traveler type changes to an undetermined supporter. , the probability is ; Uncommitted supporters After receiving the information, the type of travelers changed to a firm supporter , the probability is ; Uncommitted supporters After receiving the information, the type of travelers changed to undetermined opponents. , the probability is ; Undetermined opponents After receiving the information, the type of travelers changed to a firm opponent. , the probability is ; Undetermined opponents After receiving the information, the traveler type changes to an undetermined supporter , the probability is ; Step 2.2: Calculate the proportion of traveler types after a single information dissemination The proportion of a certain type of travelers after a single information dissemination is defined as the ratio of the number of travelers of this type to the total number of people participating in the information dissemination. After information dissemination, the proportions are 、 、 、 and ,in: Neutral Proportion ; Percentage of supporters with undetermined attitudes ; The proportion of undetermined opponents ; Percentage of firm supporters ; Percentage of those who firmly oppose ; Step 3: Interactive simulation of multiple information dissemination processes When information dissemination ends, the proportion of each type of traveler in the information network changes. Repeat step 2 to iteratively calculate the proportion of each traveler's cognitive attitude towards shared autonomous vehicles under the influence of information. and When the proportion is 0, the iteration of the information propagation model stops and the information propagation ends.

2. A multiple interactive simulation technology for information influence and shared cognitive attitude of autonomous vehicles according to claim 1, characterized in that: By obtaining attitude data of travelers, including but not limited to interviews, social media, etc., the probability of whether the traveler type has changed or not is obtained by fitting calculation. is 0.43, is 0.57, is 0.80, is 0.20, is 0.67, It is 0.33.

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