Dynamic planning system and method for scenic spot tourist route

Abstract

The invention relates to the technical field of route planning, in particular to a dynamic planning system and method for a scenic spot tour route, and the system comprises a first obtaining module which is used for obtaining a tour expectation coefficient of each non-visited scenic spot when a tourist plays according to a planned route; the second acquisition module is used for acquiring a playing scenic spot priority index of each non-visited scenic spot according to the playing expectation coefficient of each non-visited scenic spot; and the adjusting module is used for dynamically adjusting the playing routes of the non-visited scenic spots according to the playing scenic spot priority indexes of the non-visited scenic spots. According to the invention, the route planning accuracy can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of route planning, and particularly relates to a dynamic planning system and method for scenic area tourism routes. Background Art

[0002] With the increasing improvement of people's living standards and the influence of the spread of various scenic spots on online self-media, the number of people taking leisure vacations is increasing. At the same time, due to the short holiday time and large number of travelers, in order to have a better tourism experience and travel convenience, local governments and tourism APPs all provide scenic spot tourism route planning to facilitate tourists' travel.

[0003] In current tourism path recommendation solutions, after a tourist inputs a target area or multiple scenic spots, the system will generate a recommended tourism route according to the tourist portrait. However, during the process of the tourist playing according to the recommended tourism route, for the scenic spots that the tourist has visited or does not pass through, the tourism route will not be adjusted in time, resulting in unnecessary repeated trips or path deviations for the tourist during the visit, and the accuracy of the planned route is relatively low. Summary of the Invention

[0004] In order to solve the technical problem of relatively low accuracy of the planned route in related technologies, the purpose of the present invention is to provide a dynamic planning system and method for scenic area tourism routes, and the specific technical solutions adopted are as follows: In the first aspect of the present disclosure, a dynamic planning system for scenic area tourism routes is provided. The system includes: A first acquisition module, configured to acquire the play expectation coefficients of each unvisited scenic spot when a tourist plays according to the planned route; A second acquisition module, configured to acquire the play scenic spot priority indices of each unvisited scenic spot according to the play expectation coefficients of each unvisited scenic spot; An adjustment module, configured to dynamically adjust the play routes of the unvisited scenic spots according to the play scenic spot priority indices of each unvisited scenic spot.

[0005] In one embodiment, the first acquisition module includes: A first acquisition sub-module, configured to acquire the relative convenience coefficients between each unvisited scenic spot and the current position of the tourist according to the current position of the tourist; A second acquisition sub-module, configured to acquire the play expectation coefficients of each unvisited scenic spot according to the relative convenience coefficients.

[0006] In one embodiment, in terms of acquiring the relative convenience coefficients between each unvisited scenic spot and the current position of the tourist according to the current position of the tourist, the first acquisition sub-module specifically is used for: Obtain the first distance relationship between each of the unvisited scenic spots and the current position according to the current position; Obtain the second distance relationship between each of the unvisited scenic spots; Obtain the relative convenience coefficient between each of the unvisited scenic spots and the current position according to the first distance relationship and the second distance relationship.

[0007] In one embodiment, in terms of obtaining the play expectation coefficient of each of the unvisited scenic spots according to the relative convenience coefficient, the second obtaining sub-module specifically is used for: After the tourist departs, periodically obtain the traveling parameters of the tourist, where the traveling parameters include: the traveling distance in the current period and the direction vector corresponding to the current moment; According to the traveling distance in each period and the distances between each of the unvisited scenic spots, obtain the position change relationship between the tourist and each of the unvisited scenic spots during the traveling process of the tourist; Obtain the displacement azimuth relationship of the tourist according to the position change relationship; Obtain the geographical azimuth relationship between the tourist and each of the unvisited scenic spots; Obtain the azimuth identity parameter between the displacement direction of the tourist and the direction between the tourist and each of the unvisited scenic spots according to the displacement azimuth relationship and the geographical azimuth relationship; Obtain the minimum reaching distance coefficient of each of the unvisited scenic spots according to the position change relationship; Obtain the play expectation coefficient of each of the unvisited scenic spots according to the azimuth identity parameter, the minimum reaching distance coefficient and the relative convenience coefficient of each of the unvisited scenic spots.

[0008] In one embodiment, the second obtaining module includes: A third obtaining sub-module, which is used to obtain the complete itinerary parameters of the visited scenic spots and the unvisited itinerary parameters of each of the unvisited scenic spots during the tourist's play process; A fourth obtaining sub-module, which is used to obtain the play scenic spot priority index of each of the unvisited scenic spots according to the complete itinerary parameters, the unvisited itinerary parameters of each of the unvisited scenic spots and the corresponding play expectation coefficient.

[0009] In one embodiment, in terms of obtaining the complete itinerary parameters of the visited scenic spots, the third obtaining sub-module specifically is used for: Obtain the position relationship between the currently visited scenic spot and the previous visited scenic spot; Obtain the itinerary time spent on the way for the tourist to travel from the previous visited scenic spot to the currently visited scenic spot; Determine the moving speed of the tourist according to the position relationship and the travel time; Obtain the first speed average value in the path of other tourists from the previous visited scenic spot to the current visited scenic spot according to historical data; Obtain a first congestion index according to the moving speed and the first speed average value; Obtain the complete itinerary parameters of the visited scenic spot according to the first congestion index and the play expectation coefficient of the current visited scenic spot.

[0010] In one embodiment, in terms of obtaining the complete itinerary parameters of the visited scenic spot according to the first congestion index and the play expectation coefficient of the current visited scenic spot, the third obtaining sub-module is specifically configured to: Obtain the play time of the tourist in the current visited scenic spot; Obtain the first state parameter of the current visited scenic spot according to the historical data; Obtain the first visit willingness coefficient of the current visited scenic spot according to the first state parameter, the play time and the play expectation coefficient of the current visited scenic spot; Obtain the complete itinerary parameters of the visited scenic spot according to the first congestion index and the first visit willingness coefficient.

[0011] In one embodiment, in terms of obtaining the unvisited itinerary parameters of each unvisited scenic spot, the third obtaining sub-module is specifically configured to: Obtain the second speed average value in the paths between each unvisited scenic spot of other tourists according to the historical data; Obtain the second congestion index corresponding to each unvisited scenic spot according to the moving speed and the second speed average values of each unvisited scenic spot; Obtain the second state parameter of each unvisited scenic spot according to the historical data; Obtain the unvisited itinerary parameters of each unvisited scenic spot according to the second congestion index corresponding to each unvisited scenic spot and the play expectation coefficient.

[0012] In one embodiment, in terms of obtaining the unvisited itinerary parameters of each unvisited scenic spot according to the second congestion index corresponding to each unvisited scenic spot and the play expectation coefficient, the third obtaining sub-module is specifically configured to: Obtain the predicted visit duration of each unvisited scenic spot according to the first state parameter, the play time and the second state parameter of each unvisited scenic spot; Obtain the second visit willingness coefficient of each unvisited scenic spot according to the second state parameter, the unvisited duration, and the corresponding play expectation coefficient of each unvisited scenic spot; Obtain the unvisited itinerary parameter of each unvisited scenic spot according to the second congestion index and the corresponding second visit willingness coefficient of each unvisited scenic spot.

[0013] The second aspect of the present disclosure provides a method for dynamically planning a scenic area tourism route, and the method includes: When a tourist plays according to the planned route, obtain the play expectation coefficients of each unvisited scenic spot; Obtain the play scenic spot priority index of each unvisited scenic spot according to the play expectation coefficients of each unvisited scenic spot; Dynamically adjust the play route of the unvisited scenic spots according to the play scenic spot priority index of each unvisited scenic spot.

[0014] In one embodiment, the step of obtaining the play expectation coefficients of each unvisited scenic spot when the tourist plays according to the planned route includes: According to the current position of the tourist, obtain the relative convenience coefficients between each unvisited scenic spot and the current position of the tourist; Obtain the play expectation coefficients of each unvisited scenic spot according to the relative convenience coefficients.

[0015] In one embodiment, the step of obtaining the relative convenience coefficients between each unvisited scenic spot and the current position of the tourist according to the current position of the tourist includes: According to the current position, obtain the first distance relationship between each unvisited scenic spot and the current position; Obtain the second distance relationship between each unvisited scenic spot; Obtain the relative convenience coefficients between each unvisited scenic spot and the current position according to the first distance relationship and the second distance relationship.

[0016] In one embodiment, the step of obtaining the play expectation coefficients of each unvisited scenic spot according to the relative convenience coefficients includes: After the tourist departs, periodically obtain the travel parameters of the tourist, and the travel parameters include: the travel distance of the current period and the direction vector corresponding to the current moment; According to the travel distance of each period and the distances between each unvisited scenic spot, obtain the position change relationship between the tourist and each unvisited scenic spot during the travel process of the tourist; Obtain the displacement azimuth relationship of the tourist according to the position change relationship; Obtain the geographical orientation relationship between the tourist and each of the unvisited scenic spots; According to the displacement orientation relationship and the geographical orientation relationship, obtain the orientation identity parameter between the displacement direction of the tourist and the directions between the tourist and each of the unvisited scenic spots; According to the position change relationship, obtain the minimum reaching distance coefficient of each of the unvisited scenic spots; According to the orientation identity parameter, the minimum reaching distance coefficient, and the relative convenience coefficient of each of the unvisited scenic spots, obtain the play expectation coefficient of each of the unvisited scenic spots.

[0017] In one embodiment, the obtaining the play scenic spot priority index of each of the unvisited scenic spots according to the play expectation coefficient of each of the unvisited scenic spots includes: During the process of the tourist's play, obtain the complete itinerary parameters of the visited scenic spots and the unvisited itinerary parameters of each of the unvisited scenic spots; According to the complete itinerary parameters, the unvisited itinerary parameters of each of the unvisited scenic spots, and the corresponding play expectation coefficient, obtain the play scenic spot priority index of each of the unvisited scenic spots.

[0018] In one embodiment, the obtaining the complete itinerary parameters of the visited scenic spots includes: Obtain the position relationship between the currently visited scenic spot and the previous visited scenic spot; Obtain the itinerary time spent by the tourist on the way from the previous visited scenic spot to the currently visited scenic spot; Determine the moving speed of the tourist according to the position relationship and the itinerary time; Obtain the first speed average value in the path of other tourists from the previous visited scenic spot to the currently visited scenic spot according to historical data; Obtain the first congestion index according to the moving speed and the first speed average value; According to the first congestion index and the play expectation coefficient of the currently visited scenic spot, obtain the complete itinerary parameters of the visited scenic spot.

[0019] In one embodiment, the obtaining the complete itinerary parameters of the visited scenic spot according to the first congestion index and the play expectation coefficient of the currently visited scenic spot includes: Obtain the play time of the tourist in the currently visited scenic spot; Obtain the first state parameter of the currently visited scenic spot according to the historical data; Obtain the first visit willingness coefficient of the currently visited scenic spot according to the first state parameter, the play time, and the play expectation coefficient of the currently visited scenic spot. Obtain the complete itinerary parameters of the visited scenic spots according to the first congestion index and the first visiting willingness coefficient.

[0020] In one embodiment, the obtaining of the unvisited itinerary parameters of each of the unvisited scenic spots includes: Obtain the second average speed in the paths between each of the unvisited scenic spots according to the historical data; Obtain the second congestion index corresponding to each of the unvisited scenic spots according to the moving rate and each of the second average speeds; Obtain the second state parameters of each of the unvisited scenic spots according to the historical data; Obtain the unvisited itinerary parameters of each of the unvisited scenic spots according to the second congestion index and the play expectation coefficient corresponding to each of the unvisited scenic spots.

[0021] In one embodiment, the obtaining of the unvisited itinerary parameters of each of the unvisited scenic spots according to the second congestion index and the play expectation coefficient corresponding to each of the unvisited scenic spots includes: Obtain the predicted visiting duration of each of the unvisited scenic spots according to the first state parameter, the play time, and the second state parameters of each of the unvisited scenic spots; Obtain the second visiting willingness coefficient of each of the unvisited scenic spots according to the second state parameter, the unvisited duration, and the corresponding play expectation coefficient of each of the unvisited scenic spots; Obtain the unvisited itinerary parameters of each of the unvisited scenic spots according to the second congestion index and the corresponding second visiting willingness coefficient of each of the unvisited scenic spots.

[0022] The present invention has the following beneficial effects: By obtaining the play expectation coefficient characterizing the path adjustment behavior during the process of tourists visiting using the recommended route of the system, the present disclosure further obtains the play scenic spot priority index characterizing the change of the scenic spot attraction parameter of each of the unvisited scenic spots based on the play expectation coefficient, so as to dynamically adjust the subsequent visit route planning of tourists in real time based on the play scenic spot priority index of each of the unvisited scenic spots. Through this dynamic route adjustment method, the visiting efficiency of tourists can be improved and the applicability of the planned route to tourists can be enhanced, avoiding the problems of itinerary redundancy and trajectory deviation, and improving the satisfaction of the tour experience. Description of the Drawings

[0023] To more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the following will briefly introduce the accompanying drawings required for the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0024] Figure 1 Schematic diagram of the functional modules of a scenic area tourism route dynamic planning system provided by an embodiment of the present invention; Figure 2 Schematic diagram of the planned route provided by an embodiment of the present invention; Figure 3 Provided by an embodiment of the present invention Figure 1 Schematic diagram of the functional modules of the first acquisition module in Figure 4 Provided by an embodiment of the present invention Figure 1 Schematic diagram of the functional modules of the second acquisition module in Figure 5 Schematic diagram of a single complete itinerary provided by an embodiment of the present invention; Figure 6 Schematic diagram of the process of a scenic area tourism route dynamic planning method provided by an embodiment of the present invention; Figure 7 Provided by an embodiment of the present invention Figure 6 Refined process schematic diagram of step S101 in Figure 8 Provided by an embodiment of the present invention Figure 6 Refined process schematic diagram of step S102 in Detailed implementation manners

[0025] To further elaborate on the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following, in combination with the accompanying drawings and preferred embodiments, details the specific implementation manners, structures, features, and effects of a scenic area tourism route dynamic planning system and method proposed according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0026] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the technical field to which the present invention belongs.

[0027] The following specifically describes the specific solutions of a scenic area tourism route dynamic planning system and method provided by the present invention in combination with the accompanying drawings.

[0028] Please refer to Figure 1 , which shows a schematic diagram of the functional modules of a dynamic planning system for scenic area tourism routes provided by an embodiment of the present invention. As Figure 1 shown, the system includes: A first acquisition module 11, configured to obtain the play expectation coefficients of each unvisited scenic spot when a tourist plays according to the planned route.

[0029] When a tourist arrives in a city or region for tourism visits, the tourist will choose the scenic spots to go to or directly choose the local popular scenic spots for visiting and playing.

[0030] During the process of a tourist moving between different scenic spots, there is autonomy and uncertainty, that is, the tourist will go to other scenic spots according to temporary wishes, which will affect the applicability of the current planned route. In order to facilitate the tourist to have a better play experience, the system will analyze the tourist's expectation degree for each unvisited scenic spot based on the positions of the visited scenic spots during the tourist's play process and the urgency parameters during the movement between each scenic spot, and dynamically plan and adjust the route of the unvisited scenic spots accordingly to adapt to the tourist's current play itinerary arrangement.

[0031] When a tourist inputs the scenic spots to be visited into the system, the system will analyze multiple reasonable planned routes based on the geographical location relationship between the tourist and the scenic spots, and the tourist will visit the scenic spots according to the planned route.

[0032] When the tourist starts from the current position and moves along the planned route, during the movement, other scenic spots with similar distances will attract the tourist, causing the tourist to change the moving direction. At this time, the system needs to timely adjust the route according to the tourist's temporary choice.

[0033] Before the first acquisition module 11 executes to obtain the play expectation coefficients of each unvisited scenic spot, the first acquisition module 11 can also obtain the tourist's travel status data parameters, and then save the travel status data parameters in the database. Then, when each module executes the corresponding steps, the corresponding parameters can be retrieved from the database. It can also obtain the required parameters in real time when each module executes the corresponding actions.

[0034] The parameters to be used in this disclosure may include: The scenic spots that the tourist wants to play. The tourist can manually input the scenic spots to be played into the system. The system will record the scenic spots input by the tourist and process the distance relationship between the scenic spots and the tourist's current position and the distance relationship between adjacent scenic spots to obtain Figure 2 , in Figure 2 , it includes 9 scenic spots, and P1 - P16 represent the paths between the scenic areas.

[0035] For the processed scenic spots, according to the positional relationship between adjacent scenic spots, number the paths between the scenic spots and record their positional distances.

[0036] Monitor the playing time of tourists in the scenic spot and the displacement time between scenic spots.

[0037] Obtain the displacement change direction of tourists between adjacent scenic spots to obtain the direction vector of tourists, as well as the distances between the current position of tourists or the positions of visited scenic spots and different scenic spots.

[0038] In one embodiment, as Figure 3 shown, the first acquisition module 11 includes: The first acquisition sub-module 111 is used to obtain the relative convenience coefficients between each unvisited scenic spot and the current position of the tourist according to the current position of the tourist.

[0039] In the aspect of obtaining the relative convenience coefficients between each unvisited scenic spot and the current position of the tourist according to the current position of the tourist, the first acquisition sub-module specifically performs the following steps A1 - A3: A1. According to the current position of the tourist, obtain the first distance relationship between each unvisited scenic spot and the current position.

[0040] A2. Obtain the second distance relationship between each unvisited scenic spot.

[0041] A3. According to the first distance relationship and the second distance relationship, obtain the relative convenience coefficients between each unvisited scenic spot and the current position of the tourist.

[0042] Among them, the first distance relationship and the second distance relationship can be obtained by intercepting real-time map data or accessing the API interface of the map APP.

[0043] Specifically, according to the current position of the tourist, obtain the first distance relationship between each unvisited scenic spot and the current position, and obtain the second distance relationship between each unvisited scenic spot, and then obtain the relative convenience coefficients between each unvisited scenic spot and the current position where the tourist is located. The relative convenience coefficients between each unvisited scenic spot and the current position of the tourist can be obtained through the following formula: ; Among them, is the path number between scenic spots, is the scenic spot number, is the th second distance relationship of the th path of the The second distance relationship of the unvisited scenic spots, taking Figure 2 in as an example, represents the second distance relationship of the th unvisited scenic spot on the th path P6, that is, the second distance relationship from the starting point of the th path P6 to the th scenic spot to the th unvisited scenic spot; is the first distance relationship between the current position of the tourist and the th unvisited scenic spot, is the distance relationship between the tourist and the farthest unvisited scenic spot; is the product of the second distance relationship of the th unvisited scenic spot on the th path and the distance relationship from the tourist to the scenic spot, representing the relative change relationship between the scenic spot and the tourist; represents the relative convenience coefficient of the th unvisited scenic spot and the current position of the tourist.

[0044] When a tourist visits multiple scenic spots, they should try their best to ensure not to retrace their steps. After considering reaching a scenic spot, they need to combine the route relationships between the subsequent unvisited scenic spots to analyze the relative convenience coefficient. When two unvisited scenic spots that are close to the tourist's current position are far from each other, if there is a round-trip phenomenon, then the tourist will try to choose the scenic spot that is close to the tourist's current position for visiting.

[0045] The second acquisition sub-module 112 is used to obtain the play expectation coefficients of each of the unvisited scenic spots according to the relative convenience coefficient.

[0046] For the data parameters of the visited scenic spots, the data such as the tourist's play duration should be considered in the initial state. At the same time, based on the tourist's preferences for different scenic spots, the distance change relationship between the scenic spots should be considered as much as possible. When the tourist travels along the planned route to a scenic spot, in case of a possible temporary change to go to other unvisited scenic spots, the planned route should be adjusted in a timely manner.

[0047] Furthermore, during the process of the tourist traveling along the planned route to a scenic spot, there may be a situation where the tourist suddenly decides to go to other unvisited scenic spots. In such a state, it is necessary to adjust the planned route in a timely manner according to the change selected by the tourist.

[0048] In one embodiment, in terms of obtaining the play expectation coefficients of each of the unvisited scenic spots according to the relative convenience coefficient, the second acquisition sub-module is specifically used for B1 - B7: B1. After the tourist departs, obtain the traveling parameters of the tourist periodically. The traveling parameters include: the traveling distance in the current period and the direction vector corresponding to the current moment.

[0049] Taking the period as 1 minute as an example for illustration: After the tourist departs, obtain the traveling distance of the tourist every 1 minute ( Number the traveling distance moments, and the total number of time periods is ) and the traveling direction vector , and place the obtained traveling parameters in the tourist traveling parameter set . It should be noted that: The unit of

[0050] is minutes. In , is the number of the traveling distance period, and the total number of time periods is represents the total number of time periods corresponding to the th path, represents the travel duration of the th path of the tourist at the th unvisited scenic spot;

[0051]

[0052] B2. According to the traveling distance in each period and the distances between each unvisited scenic spot, obtain the position change relationship between the tourist and each unvisited scenic spot during the tourist's travel.

[0052] To obtain the position change relationship between the tourist and each unvisited scenic spot during the tourist's travel, it can be obtained by the following formula: ; where represents the position change relationship between the kth traveling distance period and the th unvisited scenic spot, represents the second distance relationship of the th path of the th unvisited scenic spot, Represents the total travel distance in the first k travel distance cycles; it should be noted that is always greater than 0.

[0053] B3. Obtain the displacement azimuth relationship of the tourist according to the position change relationship.

[0054] B4. Obtain the geographical azimuth relationship between the tourist and each unvisited scenic spot.

[0055] Subsequently, for the position change relationship of the tourist during the travel process, obtain its displacement azimuth relationship. The displacement azimuth relationship is a vector, denoted by and represents the displacement azimuth relationship of the tourist in the k-th travel distance cycle. The specific process of obtaining the displacement azimuth relationship is as follows: for each travel distance cycle, take the position where the tourist is at the starting moment of this travel distance cycle as the starting point, take the position where the tourist is at the last moment of this travel distance cycle as the end point, and take the vector pointing from the starting point to the end point as the position azimuth relationship. The length of this vector is the distance from the starting point to the end point.

[0056] Similarly, there is an azimuth relationship between the tourist and each unvisited scenic spot, and thus the geographical azimuth relationship between the tourist and each unvisited scenic spot can be obtained. The geographical azimuth relationship is a vector. It should be noted that: the process of obtaining the geographical azimuth relationship is as follows: take the position where the tourist is as the starting point, take the position of the main entrance of the scenic area as the end point, and take the vector pointing from the starting point to the end point as the geographical azimuth relationship. The length of this vector is the distance from the starting point to the end point.

[0057] B5. Obtain the azimuth identity parameter between the displacement direction of the tourist and the direction between the tourist and each unvisited scenic spot according to the displacement azimuth relationship and the geographical azimuth relationship.

[0058] Furthermore, for the displacement azimuth relationship of the tourist and the azimuth relationship between the tourist and each unvisited scenic spot, obtain the azimuth identity parameter between the displacement direction of the tourist and the direction between the tourist and each unvisited scenic spot according to the cosine similarity formula, denoted by and represents the cosine similarity between and represents the displacement azimuth relationship of the tourist in the k-th travel distance cycle, represents the geographical azimuth relationship between the tourist and the -th unvisited scenic spot, and use the function to perform normalization processing on the azimuth identity parameter to obtain the normalized value . It should be noted that: the calculation method of the cosine similarity between two vectors is a prior art and will not be elaborated here.

[0059] B6. Obtain the minimum arrival distance coefficient of each of the unvisited scenic spots according to the position change relationship.

[0060] During the process of a tourist going to a scenic spot, when making a U-turn at a roundabout or a service road, the direction between the tourist's displacement direction and the target scenic spot has a relatively low similarity, while the direction is similar to that of the adjacent scenic spot. Therefore, it is necessary to screen out the scenic spot with the minimum arrival distance coefficient, which can be obtained through the following formula: ; In the formula, represents the minimum arrival distance coefficient of the th unvisited scenic spot, j is the scenic spot number, k is the travel distance cycle number, represents the position change relationship between the tourist and the th unvisited scenic spot in the kth travel distance cycle, represents the first distance relationship between the tourist's current position and the th unvisited scenic spot, is the remaining distance ratio of the tourist after displacement to the th unvisited scenic spot, represents the position change relationship between the kth travel distance cycle and the th unvisited scenic spot, represents the first distance relationship between the tourist's current position and the +1th unvisited scenic spot, is the remaining distance ratio of the tourist after displacement to the +1th unvisited scenic spot; is the minimum value of the distance ratio between adjacent unvisited scenic spots and is used as the minimum arrival distance coefficient. The unvisited scenic spot corresponding to this minimum arrival distance coefficient can be used as the tourist's target scenic spot.

[0061] B7. Obtain the play expectation coefficient of each of the unvisited scenic spots according to the azimuth identity parameter, the minimum arrival distance coefficient, and the relative convenience coefficient of each of the unvisited scenic spots.

[0062] Analyze the play expectation coefficient of each of the unvisited scenic spots during the tourist's travel: ; In the formula, is the difference between the normalized value of the azimuth identity parameter of the jth unvisited scenic spot and the normalized value of the azimuth identity parameter of the j + 1th unvisited scenic spot in the kth travel distance cycle, representing the change in the difference between the tourist's displacement azimuth and the scenic spot azimuth, is the relative convenience coefficient of the scenic spot, It is the product of the minimum arrival distance coefficient of the j-th unvisited scenic spot and the relative convenience coefficient of the j-th unvisited scenic spot, representing the traveling state of the tourist to the j-th unvisited scenic spot. Use The function to perform normalization processing on It represents the expected coefficient of play for the j-th unvisited scenic spot.

[0063] Simply compare and analyze the scenic spots the tourist is going to according to the relative azimuth change between the tourist's displacement direction and the direction from the tourist to the scenic spot. Since routes such as roundabouts and auxiliary roads will cause detours during the traveling process, resulting in a relatively large change in the relative azimuth, therefore, it is necessary to analyze the expected coefficient of play between different scenic spots in combination with the distance change from the tourist to the scenic spot.

[0064] It should be noted that after obtaining the expected coefficients of play between each unvisited scenic spot, the system can also adjust the planned route at this time. At this time, the system preferentially arranges the scenic spots with higher expected coefficients of play, that is, it will set the unvisited scenic spots with higher expected coefficients of play before the scenic spots with lower expected coefficients of play, so that tourists can preferentially visit the scenic spots with higher expected coefficients of play.

[0065] The second acquisition module 12 is used to obtain the play scenic spot priority index of each of the unvisited scenic spots according to the expected coefficients of play of each of the unvisited scenic spots.

[0066] During the process of tourists visiting scenic spots in the area where they are located, there are differences in the degree of preference for different scenic spots. For the preferred scenic spots, the preferred scenery or things will cause tourists to stop and watch, thereby prolonging the visiting time of tourists at the scenic spot. At this time, when tourists visit subsequent scenic spots, it may be impossible to visit the originally scheduled scenic spots in time due to the short remaining time, and they can only adjust the number of scenic spots that can be visited on the same day for the unvisited scenic spots, so as to realize the secondary optimization and adjustment of the route planning.

[0067] Therefore, during the process of tourists playing, it is necessary to record the visited scenic spots and unvisited scenic spots, and analyze the expected index based on the positions between the scenic spots and the dynamic distance of the tourists.

[0068] In one embodiment, as Figure 4 shown, the second acquisition module 12 includes: The third acquisition sub-module 121 is used to obtain the complete itinerary parameters of the visited scenic spots and the unvisited itinerary parameters of each of the unvisited scenic spots during the process of tourists playing.

[0069] In terms of obtaining the complete itinerary parameters of the visited scenic spots, the third acquisition sub-module is specifically used to execute the following steps C1 - C6: C1. Obtain the positional relationship between the currently visited scenic spot and the previous visited scenic spot.

[0070] The current visited scenic spot here is the scenic spot that the tourist has just visited, and the previous visited scenic spot is the previous visited scenic spot of the just visited scenic spot, that is, the two scenic spots after completing a single complete itinerary. As Figure 5 shown in the schematic diagram of the single complete itinerary, the previous visited scenic spot is the starting scenic spot, and the current visited scenic spot is Scenic Spot 2. The visit from the starting scenic spot to Scenic Spot 2 here is a single complete itinerary.

[0071] C2. Obtain the travel time spent by the tourist on the way from the previous visited scenic spot to the current visited scenic spot.

[0072] C3. Determine the moving speed of the tourist according to the positional relationship and the travel time.

[0073] The time spent by the tourist on the way from the previous visited scenic spot to the current visited scenic spot, combined with the second distance relationship between the previous visited scenic spot and the current visited scenic spot, to obtain the moving speed of the tourist. Specifically: ; Among them, represents the moving speed of the tourist, represents the th second distance relationship of the th path of the th visited scenic spot. The th th path here is the second distance relationship between the

[0074] C4. Obtain the first speed average value in the path of other tourists from the previous visited scenic spot to the current visited scenic spot according to historical data.

[0075] C5. Obtain the first congestion index according to the moving speed and the first speed average value.

[0076] Furthermore, combine the historical data shared by each other tourist to obtain the first speed average value of other tourists when moving on this route, and analyze the first congestion index based on this: In the formula, represents the first congestion index, represents the moving speed of the tourist, represents the first speed average value. Set the threshold to 0. When If so, the road is relatively congested; otherwise, it is not. If , then . represents an activation function; represents the derivative of the activation function.

[0077] C6. Obtain the complete itinerary parameters of the visited scenic spots according to the first congestion index and the play expectation coefficient of the currently visited scenic spots.

[0078] After the tourist visits the current visited scenic spot from the previous visited scenic spot, the time the tourist spends playing in the current visited scenic spot can represent the tourist's preference degree for the current visited scenic spot. The longer the stay time, the higher the preference degree.

[0079] Among them, due to the differences in the occupied area and the number of scenic spots in different scenic spots, the more scenic spots there are and the larger the occupied area, the longer the tourist's visit time. Furthermore, the tourist's visit willingness coefficient for the scenic spot can be analyzed according to the relationship between the stay time in the scenic spot and the scenic spot status.

[0080] In one embodiment, in the aspect of obtaining the complete itinerary parameters of the visited scenic spots according to the first congestion index and the play expectation coefficient of the currently visited scenic spots, the third acquisition sub-module is specifically used to perform the following steps C61 - C64: C61. Obtain the play time of the tourist in the current visited scenic spot.

[0081] C62. Obtain the first status parameter of the current visited scenic spot according to the historical data.

[0082] C63. Obtain the first visit willingness coefficient of the current visited scenic spot according to the first status parameter, the play time, and the play expectation coefficient of the current visited scenic spot.

[0083] The system obtains the first status parameter of the current visited scenic spot according to the known data of the current visited scenic spot. The first status parameter here includes the occupied area and the number of scenic spots of the current visited scenic spot. At this time, it is also necessary to obtain the second status parameters of each unvisited scenic spot. The second status parameters here include the occupied area and the number of scenic spots of each unvisited scenic spot. Then, obtain the maximum occupied area from the occupied area of the current visited scenic spot and the occupied areas of each unvisited scenic spot, and obtain the maximum number of scenic spots from the number of scenic spots of the current visited scenic spot and the number of scenic spots of each unvisited scenic spot. The occupied area ratio coefficient and the number of scenic spots ratio coefficient of the current visited scenic spot are obtained through the following formula: ; ; Among them, represents the floor area ratio coefficient of the currently visited scenic spot m, represents the floor area of the currently visited scenic spot m, represents the maximum floor area among the floor areas of the currently visited scenic spot and the floor areas of each unvisited scenic spot, represents the scenic spot quantity ratio coefficient of the currently visited scenic spot m, represents the quantity of scenic spots of the currently visited scenic spot, represents the maximum quantity of scenic spots among the quantity of scenic spots of the currently visited scenic spot and the quantity of scenic spots of each unvisited scenic spot.

[0084] Analyze the first visit willingness coefficient through the following formula: ; In the formula, represents the first visit willingness coefficient, represents the floor area ratio coefficient of the currently visited scenic spot m, represents the scenic spot quantity ratio coefficient of the currently visited scenic spot m, represents the first state parameter of the currently visited scenic spot m, represents the play expectation coefficient of the tourist for the currently visited scenic spot m, represents the play time of the tourist in the currently visited scenic spot m, represents the ratio of the play duration of the tourist in the currently visited scenic spot m to the first state parameter of the currently visited scenic spot m. The larger this value is, the stronger the tourist's visit willingness. Use function to perform normalization processing on the result.

[0085] C64. Obtain the complete itinerary parameters of the visited scenic spots according to the first congestion index and the first visit willingness coefficient.

[0086] Obtain the complete itinerary parameters of the visited scenic spots through the following formula: ; Among them, represents the complete itinerary parameter of the currently visited scenic spot m, represents the first congestion index, represents the first visit willingness coefficient of the currently visited scenic spot m.

[0087] In terms of obtaining the unvisited itinerary parameters of each unvisited scenic spot, the third obtaining sub-module is specifically used to perform the following steps D1 - D4: D1. Obtain the second speed average value of other tourists on the paths between each unvisited scenic spot according to the historical data.

[0088] D2. Obtain the second congestion index corresponding to each unvisited scenic spot according to the moving speed and each of the second speed means.

[0089] Analyze the second congestion index: ; In the formula, represents the second congestion index of the th unvisited scenic spot, represents the moving speed of the tourist, represents the second speed mean of the corresponding path of the th unvisited scenic spot. Set the threshold to 0. When , then there is congestion on this road; otherwise, there is no congestion. If , then .

[0090] D3. Obtain the second state parameter of each unvisited scenic spot according to the historical data.

[0091] Obtain the second state parameter of each unvisited scenic spot through the following formula: ; ; Among them, represents the land occupation ratio coefficient of the th unvisited scenic spot, represents the land occupation of the th unvisited scenic spot, represents the maximum land occupation among the land occupations of the currently visited scenic spots and the land occupations of each unvisited scenic spot, represents the scenic spot quantity ratio coefficient of the th unvisited scenic spot, represents the scenic spot quantity of the th unvisited scenic spot, represents the maximum scenic spot quantity among the scenic spot quantities of the currently visited scenic spots and the scenic spot quantities of each unvisited scenic spot.

[0092] In the present disclosure, the numbers of the visited scenic spots are different from those of the unvisited scenic spots, that is, the values of m and the values of j are different.

[0093] D4. Obtain the unvisited itinerary parameter of each unvisited scenic spot according to the second congestion index and the play expectation coefficient corresponding to each unvisited scenic spot.

[0094] In one embodiment, in terms of obtaining the play scenic spot priority index of each unvisited scenic spot according to the second congestion index and the play expectation coefficient corresponding to each unvisited scenic spot, the third obtaining sub-module is specifically configured to perform the following steps D41 - D43: D41. Obtain the predicted visit duration of each unvisited scenic spot according to the first state parameter, the play time, and the second state parameter of each unvisited scenic spot.

[0095] For the deviation parameter between the first state parameter of the currently visited scenic spot and the second state parameter of the unvisited scenic spot, obtain the difference value between the currently visited scenic spot and the unvisited scenic spot in terms of floor area and the number of scenic spots, and thus analyze the predicted visit duration of the tourist at the unvisited scenic spot.

[0096] The predicted visit duration of each unvisited scenic spot can be obtained through the following formula: ; .

[0097] In the formula, represents the floor area occupancy ratio coefficient of the currently visited scenic spot m, represents the scenic spot number occupancy ratio coefficient of the currently visited scenic spot m, represents the th floor area occupancy ratio coefficient of the unvisited scenic spot, represents the th scenic spot number occupancy ratio coefficient of the unvisited scenic spot, represents the difference value between the currently visited scenic spot m and the th unvisited scenic spot in terms of floor area and the number of scenic spots, represents the th predicted visit duration of the unvisited scenic spot, represents the play time of the currently visited scenic spot m.

[0098] D42. Obtain the second visit willingness coefficient of each unvisited scenic spot according to the second state parameter, the unvisited duration, and the corresponding play expectation coefficient of each unvisited scenic spot.

[0099] The implementation manner of this step is similar to that in the above embodiment, and will not be elaborated here.

[0100] D43. Obtain the unvisited itinerary parameter of each unvisited scenic spot according to the second congestion index and the corresponding second visit willingness coefficient of each unvisited scenic spot.

[0101] The implementation manner of this step is similar to that in the above embodiment, and will not be elaborated here.

[0102] The fourth acquisition sub-module 122 is configured to obtain a play scenic spot priority index for each of the unvisited scenic spots according to the complete itinerary parameters, the unvisited itinerary parameters of each of the unvisited scenic spots, and the corresponding play expectation coefficients.

[0103] After a tourist completes a complete play itinerary, the play expectation coefficients of the unvisited scenic spots for the tourist are obtained according to the above steps. Then, in combination with the complete itinerary parameters between different scenic spots and the arrival paths, the play scenic spot priority indices of each unvisited scenic spot in the subsequent play process are obtained: ; In the formula, represents the play scenic spot priority index of the j-th unvisited scenic spot, represents the complete itinerary parameter of the visited scenic spot m, represents the unvisited itinerary parameter of the j-th unvisited scenic spot, represents the itinerary difference value between the j-th unvisited scenic spot and the visited scenic spot m, and is normalized using the function, represents the play expectation coefficient of the j-th unvisited scenic spot The adjustment module 13 is configured to dynamically adjust the play routes of the unvisited scenic spots according to the play scenic spot priority indices of each of the unvisited scenic spots.

[0104] After obtaining the play scenic spot priority indices of each unvisited scenic spot, the planned route being played is dynamically adjusted according to the play scenic spot priority indices of each unvisited scenic spot, and the position of the scenic spot with a higher play scenic spot priority index is adjusted forward.

[0105] It should be noted that the system will make multiple adjustments in real time based on the dynamic data of the tourist until the tourist completes the parameters of each scenic area or exits the system.

[0106] Mainstream tourism planning algorithms have static planning defects. That is, based on the tour range or multi-attraction selection input by users, although the system can generate personalized recommended routes, due to the lack of a dynamic response mechanism for visited nodes and deviated paths, it is easy to cause itinerary redundancy and trajectory deviation problems, resulting in a decrease in the satisfaction of the tour experience. In this disclosure, during the process of tourists using the recommended routes of this system for visits, the play expectation coefficients representing path adjustment behaviors are obtained, and then based on the play expectation coefficients, the play attraction priority indexes representing the changes in the attraction parameters of each unvisited attraction are obtained. Thus, based on the play attraction priority indexes of each unvisited attraction, the subsequent visit route planning for tourists is dynamically adjusted in real time. Through this dynamic route adjustment method, the efficiency of tourists' visits and the applicability of the planned route to tourists can be improved, avoiding the problems of itinerary redundancy and trajectory deviation, and enhancing the satisfaction of the tour experience.

[0107] In an exemplary embodiment, as Figure 6 shown, a method for dynamically planning a scenic area tourism route is provided, and this method includes the following sub-steps S101 - S103: S101. When tourists play according to the planned route, obtain the play expectation coefficients of each unvisited attraction.

[0108] S102. According to the play expectation coefficients of each unvisited attraction, obtain the play attraction priority indexes of each unvisited attraction.

[0109] S103. Dynamically adjust the play routes of the unvisited attractions according to the play attraction priority indexes of each unvisited attraction.

[0110] In an embodiment, as Figure 7 shown, in step S101, when tourists play according to the planned route, obtaining the play expectation coefficients of each unvisited attraction includes the following sub-steps S1011 - S1012: S1011. According to the current position of the tourist, obtain the relative convenience coefficients between each unvisited attraction and the current position of the tourist; S1012. According to the relative convenience coefficients, obtain the play expectation coefficients of each unvisited attraction.

[0111] In an embodiment, the obtaining the relative convenience coefficients between each unvisited attraction and the current position of the tourist according to the current position of the tourist includes: According to the current position, obtain the first distance relationship between each unvisited attraction and the current position; Obtain the second distance relationship between each unvisited attraction; Obtain the relative convenience coefficients of each of the unvisited scenic spots with respect to the current location according to the first distance relationship and the second distance relationship.

[0112] In one embodiment, the obtaining the play expectation coefficients of each of the unvisited scenic spots according to the relative convenience coefficients includes: After the tourist departs, periodically obtain the traveling parameters of the tourist, where the traveling parameters include: the traveling distance in the current period and the direction vector corresponding to the current moment; According to the traveling distance in each period and the distances between each of the unvisited scenic spots, obtain the position change relationship between the tourist and each of the unvisited scenic spots during the traveling process of the tourist; According to the position change relationship, obtain the displacement azimuth relationship of the tourist; Obtain the geographical azimuth relationship between the tourist and each of the unvisited scenic spots; According to the displacement azimuth relationship and the geographical azimuth relationship, obtain the azimuth identity parameter between the displacement direction of the tourist and the direction between the tourist and each of the unvisited scenic spots; According to the position change relationship, obtain the minimum arrival distance coefficient of each of the unvisited scenic spots; According to the azimuth identity parameter, the minimum arrival distance coefficient and the relative convenience coefficient of each of the unvisited scenic spots, obtain the play expectation coefficients of each of the unvisited scenic spots.

[0113] In one embodiment, as Figure 8 shown, in step S102, obtaining the play scenic spot priority index of each of the unvisited scenic spots according to the play expectation coefficients of each of the unvisited scenic spots includes the following sub-steps S1021 - S1022: S1021. During the tourist's play process, obtain the complete travel parameters of the visited scenic spots and the unvisited travel parameters of each of the unvisited scenic spots; S1022. According to the complete travel parameters, the unvisited travel parameters of each of the unvisited scenic spots and the corresponding play expectation coefficients, obtain the play scenic spot priority index of each of the unvisited scenic spots.

[0114] In one embodiment, the obtaining the complete travel parameters of the visited scenic spots includes: Obtain the position relationship between the currently visited scenic spot and the previous visited scenic spot; Obtain the travel time spent on the way for the tourist to travel from the previous visited scenic spot to the currently visited scenic spot; Determine the moving speed of the tourist according to the position relationship and the travel time; Obtain the first average speed in the path from the previous visited scenic spot to the current visited scenic spot for other tourists based on historical data; Obtain a first congestion index based on the moving rate and the first average speed; Obtain the complete itinerary parameters of the visited scenic spot based on the first congestion index and the play expectation coefficient of the current visited scenic spot.

[0115] In one embodiment, the obtaining the complete itinerary parameters of the visited scenic spot based on the first congestion index and the play expectation coefficient of the current visited scenic spot includes: Obtain the play time of the tourist in the current visited scenic spot; Obtain the first state parameter of the current visited scenic spot based on the historical data; Obtain the first visit willingness coefficient of the current visited scenic spot based on the first state parameter, the play time, and the play expectation coefficient of the current visited scenic spot; Obtain the complete itinerary parameters of the visited scenic spot based on the first congestion index and the first visit willingness coefficient.

[0116] In one embodiment, the obtaining the unvisited itinerary parameters of each unvisited scenic spot includes: Obtain the second average speed in the paths between each unvisited scenic spot for other tourists based on the historical data; Obtain the second congestion index corresponding to each unvisited scenic spot based on the moving rate and each second average speed; Obtain the second state parameter of each unvisited scenic spot based on the historical data; Obtain the unvisited itinerary parameters of each unvisited scenic spot based on the second congestion index corresponding to each unvisited scenic spot and the play expectation coefficient.

[0117] In one embodiment, the obtaining the unvisited itinerary parameters of each unvisited scenic spot based on the second congestion index corresponding to each unvisited scenic spot and the play expectation coefficient includes: Obtain the predicted visit duration of each unvisited scenic spot based on the first state parameter, the play time, and the second state parameter of each unvisited scenic spot; Obtain the second visit willingness coefficient of each unvisited scenic spot based on the second state parameter, the unvisited duration, and the corresponding play expectation coefficient of each unvisited scenic spot; Obtain the unvisited itinerary parameters of each unvisited scenic spot based on the second congestion index and the corresponding second visit willingness coefficient of each unvisited scenic spot.

[0118] The implementation manners of the steps in the above method embodiments are similar to those of the above device, and will not be elaborated herein.

[0119] It should be noted that: the above sequence of the embodiments of the present invention is only for description, and does not represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0120] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments.

Claims

1. A scenic spot tourist route dynamic planning system, characterized in that: The system comprises: The first acquisition module is used to obtain the travel expectation coefficient of each unvisited scenic spot when the tourist travels along the planned route; A second acquisition module is used to acquire the tourist attraction priority index of each of the unvisited attractions according to the tourist expectation coefficient of each of the unvisited attractions; The adjustment module is used to dynamically adjust the tour routes of the unvisited attractions according to the tour attraction priority index of each of the unvisited attractions.

2. The scenic spot tourist route dynamic planning system according to claim 1 is characterized in that: The first acquisition module includes: A first acquisition submodule is used to acquire, according to the current location of the tourist, a relative convenience coefficient between each of the unvisited attractions and the current location of the tourist; The second acquisition submodule is used to acquire the travel expectation coefficient of each of the unvisited attractions according to the relative convenience coefficient.

3. The scenic spot tourist route dynamic planning system according to claim 2 is characterized in that: In the aspect of obtaining the relative convenience coefficients of each of the unvisited attractions and the current location of the tourist according to the current location of the tourist, the first obtaining submodule is specifically used for: According to the current location, obtaining a first distance relationship between each of the unvisited attractions and the current location; Acquire a second distance relationship between each of the unvisited attractions; According to the first distance relationship and the second distance relationship, a relative convenience coefficient between each of the unvisited attractions and the current location is obtained.

4. The scenic area tourist route dynamic planning system according to claim 3 is characterized in that: In the aspect of obtaining the expected travel coefficient of each of the unvisited attractions according to the relative convenience coefficient, the second obtaining submodule is specifically used for: After the tourist sets out, periodically obtaining the tourist's travel parameters, the travel parameters including: the travel distance of the current period and the direction vector corresponding to the current moment; According to the travel distance of each cycle and the distance between each of the unvisited attractions, the position change relationship between the tourist and each of the unvisited attractions during the travel of the tourist is obtained; According to the position change relationship, obtaining the displacement orientation relationship of the tourist; Acquire the geographical position relationship between the tourist and each of the unvisited attractions; According to the displacement orientation relationship and the geographic orientation relationship, obtaining orientation identity parameters of the displacement direction of the tourist and the directions between the tourist and each of the unvisited attractions; According to the position change relationship, obtaining the minimum reaching distance coefficient of each of the unvisited scenic spots; The travel expectation coefficient of each of the unvisited attractions is obtained according to the orientation identity parameter, the minimum reach distance coefficient and the relative convenience coefficient of each of the unvisited attractions.

5. The scenic area tourist route dynamic planning system according to claim 4 is characterized in that: The second acquisition module includes: The third acquisition submodule is used to acquire the complete itinerary parameters of the visited attractions and the unvisited itinerary parameters of each of the unvisited attractions during the tourists' tour; The fourth acquisition submodule is used to acquire the tourist attraction priority index of each of the unvisited attractions according to the complete itinerary parameters, the unvisited itinerary parameters of each of the unvisited attractions and the corresponding tourist expectation coefficient.

6. The scenic area tourist route dynamic planning system according to claim 5 is characterized in that: In the aspect of obtaining the complete itinerary parameters of the visited attractions, the third obtaining submodule is specifically used for: Get the location relationship between the currently visited attraction and the last visited attraction; Obtaining the travel time taken by the tourist to travel from the last visited attraction to the currently visited attraction; Determining the moving speed of the tourist according to the position relationship and the travel time; Acquire a first average speed of other tourists on the path from the last visited attraction to the currently visited attraction according to historical data; Obtaining a first congestion index according to the moving speed and the first speed average; According to the first congestion index and the travel expectation coefficient of the currently visited scenic spot, a complete itinerary parameter of the currently visited scenic spot is obtained.

7. The scenic area tourist route dynamic planning system according to claim 6 is characterized in that: In the aspect of acquiring the complete itinerary parameters of the visited scenic spot according to the first congestion index and the travel expectation coefficient of the currently visited scenic spot, the third acquisition submodule is specifically used for: Obtain the tourist's visiting time in the currently visited scenic spot; Acquire a first state parameter of the currently visited scenic spot according to the historical data; Acquire a first visiting intention coefficient of the currently visited scenic spot according to the first state parameter, the visiting time and the visiting expectation coefficient of the currently visited scenic spot; According to the first congestion index and the first visiting willingness coefficient, complete itinerary parameters of the visited scenic spot are obtained.

8. The scenic area tourist route dynamic planning system according to claim 7 is characterized in that: In the aspect of obtaining the unvisited itinerary parameters of each of the unvisited attractions, the third obtaining submodule is specifically used for: Acquire a second average speed of other tourists in the paths between the unvisited attractions according to the historical data; According to the moving speed and each second speed average, obtaining a second congestion index corresponding to each of the unvisited attractions; Acquire a second state parameter of each of the unvisited attractions according to the historical data; According to the second congestion index and the travel expectation coefficient corresponding to each of the unvisited attractions, the unvisited itinerary parameters of each of the unvisited attractions are obtained.

9. The scenic area tourist route dynamic planning system according to claim 8, characterized in that: In the aspect of acquiring the unvisited itinerary parameters of each of the unvisited attractions according to the second congestion index and the travel expectation coefficient corresponding to each of the unvisited attractions, the third acquisition submodule is specifically used for: According to the first state parameter, the play time and the second state parameter of each of the unvisited attractions, obtaining the predicted visit duration of each of the unvisited attractions; According to the second state parameter of each of the unvisited attractions, the unvisited duration and the corresponding play expectation coefficient, a second visit intention coefficient of each of the unvisited attractions is obtained; According to the second congestion index of each of the unvisited attractions and the corresponding second visit intention coefficient, an unvisited itinerary parameter of each of the unvisited attractions is obtained.

10. A method for dynamic planning of scenic spot tourist routes, characterized in that: The method comprises: When tourists travel along the planned route, the travel expectation coefficient of each unvisited attraction is obtained; According to the travel expectation coefficient of each of the unvisited attractions, obtaining the travel attraction priority index of each of the unvisited attractions; The tour routes of the unvisited attractions are dynamically adjusted according to the tour attraction priority indexes of the unvisited attractions.

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