CN-121980093-A - Global country intelligent travel service platform based on traffic big data and control method

CN121980093ACN 121980093 ACN121980093 ACN 121980093ACN-121980093-A

Abstract

The invention provides a global country intelligent travel service platform based on traffic big data and a control method, and relates to the technical field of intelligent travel. According to the invention, the scenic spots are screened by fusing the user demands, the traffic data, the travel data and the cultural data, a plurality of recommended travel routes are provided for the user, the travel plan is perfected by combining the user selection, and finally the travel plan at night more accords with the actual travel condition of the scenic spots, so that the travel plan of the user is more accurate, the problems of traffic jam and time waste of the user are avoided, and the travel experience of the user is improved.

Inventors

ZHOU SHIMIN
Mi Wenlin
YANG SHAOHUI
MA QIN
WU JIN
LI XIAO
WANG ZHANMIN
GUO MING
LI WEIJIA
Zhang Dingkuo

Assignees

河北交通职业技术学院

Dates

Publication Date: 20260505
Application Date: 20260112

Claims (10)

1. The control method of the global country intelligent travel service platform based on the traffic big data is characterized by comprising the following steps: Acquiring search data before travelling of a user, traffic data, travelling data and cultural data; screening scenic spots in the tourist area based on the search data to obtain a plurality of initially selected scenic spots; Evaluating the plurality of primary selected attractions based on the traffic data, the travel data and the cultural data to determine a plurality of recommended attractions; based on the plurality of recommended scenic spots, path planning is carried out, and a plurality of recommended travel routes are generated and displayed; detecting a selection perfecting instruction of a user, wherein the selection perfecting instruction comprises operations of increasing or decreasing scenic spots and/or modifying the sequence of scenic spots on any one of the plurality of recommended routes; and generating a travel plan in response to the select perfection instruction.
2. The method for controlling the traffic big data-based global rural intelligent travel service platform according to claim 1, wherein the search data comprises at least one of user preference, travel purpose and travel duration, wherein the user preference comprises nature scene, historical culture or parent-child activities, wherein the travel purpose comprises leisure vacation, cultural exploration or outdoor exploration, and wherein the travel duration comprises daily trip, weekend trip or long-false trip; Screening scenic spots in the tourist area based on the search data to obtain a plurality of initially selected scenic spots, wherein the method comprises the following steps: Analyzing the search data of the user, and determining the user preference, the travel purpose and the travel duration of the user; Determining a first matching degree of all scenic spots in the tourist area based on the user preference, the tourist purpose and the scenic spot data in the tourist area; Determining a distance between each attraction and the user based on the user position and each attraction position; determining a second matching degree of each scenic spot based on the travel time length and the distance between each scenic spot and the user; a plurality of primary attractions are determined based on the first and second matches for each attraction.
3. The method of claim 1, wherein the evaluating the plurality of primary attractions based on the traffic data, the travel data, and the cultural data to determine a plurality of recommended attractions comprises: based on the user position, the position of each primary scenic spot and traffic data, evaluating the traffic condition of each scenic spot to obtain traffic evaluation factors of each primary scenic spot, wherein the traffic evaluation factors comprise reachability factors, congestion condition factors and traffic cost factors; Based on the travel data, evaluating the travel condition of each scenic spot, and determining travel evaluation factors of each scenic spot selected initially, wherein the travel evaluation factors comprise scenic spot heat factors, service quality factors and scenic spot characteristic factors; based on the cultural data, evaluating the cultural conditions of all the scenic spots, and determining cultural evaluation factors of all the initially selected scenic spots, wherein the cultural evaluation factors comprise cultural activity matching degree, cultural value and cultural fusion degree; based on the traffic evaluation factors, the travel evaluation factors and the culture evaluation factors, comprehensive evaluation is carried out, and evaluation results of all scenic spots are determined; And screening all the scenery spots based on the evaluation result of all the scenery spots to determine a plurality of recommended scenery spots.
4. The method for controlling a global country intelligent travel service platform based on traffic big data according to claim 1, wherein the performing path planning based on the plurality of recommended attractions, generating and displaying a plurality of recommended travel routes comprises: Splitting the plurality of recommended scenic spots based on the geographic positions of the plurality of recommended scenic spots and the user positions to obtain a plurality of scenic spot groups, wherein each scenic spot group comprises one or more recommended scenic spots; Generating a plurality of tour routes corresponding to each sight group based on the user position and each sight group; calculating an evaluation index of each tour route, wherein the evaluation index comprises path length, tour total time consumption, tour cost and tour traffic time ratio; determining an evaluation result of each tour route based on the evaluation index; and generating and displaying the plurality of recommended travel routes based on the evaluation result of each travel route.
5. The method for controlling a global rural intelligent travel service platform based on traffic big data according to claim 1, wherein said generating a travel plan in response to said select perfection instruction comprises: If the selection perfection instruction is to increase or decrease the scenic spots, determining the time sequence of the scenic spots to be increased or decreased, and determining the travel data and the cultural data of the scenic spots to be increased or decreased; Determining a traffic mode and a traffic duration between the scenic spot to be increased or decreased and the scenic spot at the previous stage and the scenic spot at the next stage and the tour duration of the scenic spot to be increased or decreased based on the time sequence of the scenic spot to be increased or decreased and the tour data and the cultural data of the scenic spot to be increased or decreased; based on the traffic mode and the traffic time length between the scenic spot to be increased or decreased and the scenic spot at the previous stage and the scenic spot at the next stage and the tour time length of the scenic spot to be increased or decreased, modifying the recommended tour route to be modified, and re-determining the tour plan; If the selection perfecting instruction is to modify the scenic spot sequence, determining a modified recommended travel route; Determining the traffic duration between all scenic spots based on the traffic data of all scenic spots in the modified recommended travel route; determining the tour duration of each scenic spot based on the tour data and the cultural data of each scenic spot in the modified recommended tour route; and planning time based on the traffic duration between all the scenic spots and the tour duration of all the scenic spots, and generating a tour plan.
6. The method of controlling a global rural intelligent travel service platform based on traffic big data according to claim 1, wherein the method further comprises: monitoring the real-time position of the user; determining sights in the sights and the relative position relation between the sights in the sights and the users based on the real-time positions of the users; Determining a focus point of the sightseeing based on the sightseeing sights and the relative position relation between the sights and the users; And generating audiovisual information based on the attention points of the scenic spots in the tour, and recommending the audiovisual information to a user, wherein the audiovisual information is used for assisting the user in the tour, and comprises voice information and/or video information.
7. The method of claim 6, further comprising, after monitoring the real-time location of the user: Determining the tour progress of the scenic spot in the tour based on the real-time position of the user; Determining whether the travel plan needs modification based on the travel time of the user at the sights in the travel and the travel progress; if the travel plan needs to be modified, recalculating the time required to visit the scenic spot in the tour based on the tour time of the scenic spot in the tour and the tour progress of the user; and modifying the travel plan based on the time required by the scenic spot in the travel, and updating the travel plan.
8. The method of controlling a global rural intelligent travel service platform based on traffic big data according to any one of claims 1 to 7, wherein the method further comprises: Acquiring an actual tour route of a user, and taking photos and videos of the user; based on the actual tour route, sequencing and classifying photos and videos shot by a user, and determining the photos and videos of all scenic spots; synthesizing based on the photos and videos of all the scenic spots, and generating and displaying an initial video; the method comprises the steps of receiving the biography information input by a user, wherein the biography information is annotation information of a photo or a video in an initial video, and comprises voice information and text information; And generating an electronic biography based on the biography information input by the user and the initial video.
9. A control device of a global country intelligent travel service platform based on traffic big data, comprising: The communication module is used for acquiring search data before travelling of a user, traffic data, travelling data and cultural data; The processing module is used for screening scenic spots in the tourist area based on the search data to obtain a plurality of primary scenic spots, evaluating the plurality of primary scenic spots based on the traffic data, the tourist data and the cultural data to determine a plurality of recommended scenic spots, planning a path based on the plurality of recommended scenic spots, and generating and displaying a plurality of recommended tourist routes; the communication module is also used for detecting a selection perfecting instruction of a user, wherein the selection perfecting instruction comprises operations of increasing or decreasing scenic spots and/or modifying the sequence of the scenic spots on any one of the plurality of recommended routes; And the processing module is also used for responding to the selection perfecting instruction and generating a travel plan.
10. A global country intelligent travel service platform based on traffic big data, characterized in that it comprises a memory storing a computer program and a processor for invoking and running the computer program stored in the memory to perform the steps of the method according to any of claims 1 to 9.

Description

Global country intelligent travel service platform based on traffic big data and control method Technical Field The invention relates to the technical field of intelligent travel, in particular to a global rural intelligent travel service platform based on traffic big data and a control method. Background With the rapid development of informatization technology, especially the wide application of technologies such as big data, internet of things, cloud computing, etc., intelligent tourism has become an important driving force for promoting the transformation and upgrading of the tourism industry. The global travel is taken as a new idea of travel industry development, emphasizes that the travel industry is taken as a dominant industry, and realizes the deep fusion and collaborative development of the travel industry and other industries by integrating resources such as economy, society, ecology and the like in the region. However, in the actual propulsion process, global travel faces many challenges, especially in the rural travel field. Before traveling, users mostly adopt a mode of searching scenic spots to learn scenic spot profiles of traveling areas so as to prepare for traveling. However, because the searching mode of the user adopts a single data source of the scenic spot data, the travel plan of the user is not suitable for the actual situation of the scenic spot, and the travel experience is poor. For example, the user encounters problems such as traffic jam and unsmooth information in the process of reaching the scenic spot. For another example, when a user visits a plurality of attractions, the time schedule may be problematic due to poor knowledge of the attractions, or cultural activities of the attraction organization may be missed. Disclosure of Invention The invention provides a global country intelligent travel service platform based on traffic big data and a control method thereof, which can integrate user demands, traffic data, travel data and cultural data, so that a user travel plan is more accurate, and travel experience of the user is improved. The invention provides a control method of a global country intelligent travel service platform based on traffic big data, which comprises the steps of obtaining search data before traveling of a user, and traffic data, traveling data and cultural data, screening scenic spots in a traveling area based on the search data to obtain a plurality of primary scenic spots, evaluating the plurality of primary scenic spots based on the traffic data, the traveling data and the cultural data to determine a plurality of recommended scenic spots, planning a path based on the plurality of recommended scenic spots to generate and display a plurality of recommended traveling routes, detecting a selection perfection instruction of the user, wherein the selection perfection instruction comprises operations of increasing or decreasing scenic spots and/or modifying scenic spot sequences of any one of the plurality of recommended routes, and generating a traveling plan in response to the selection perfection instruction. In one possible implementation, the search data comprises at least one of user preference, travel purpose and travel duration, wherein the user preference comprises nature scene, historical culture or parent-child activities, the travel purpose comprises leisure vacation, cultural exploration or outdoor exploration, the travel duration comprises daily, weekend or long-false travel, the scenery points in the travel area are screened based on the search data to obtain a plurality of initially selected scenery points, the search data of the user are analyzed, the user preference, the travel purpose and the travel duration of the user are determined, the first matching degree of each scenery point in the travel area is determined based on the user preference and the travel purpose and the scenery point data in the travel area, the distance between each scenery point and the user is determined based on the user position and the scenery point position, the second matching degree of each scenery point is determined based on the travel duration and the distance between each scenery point and the user, and the first matching degree and the second matching degree of each scenery point are determined based on the first matching degree and the second matching degree of each scenery point. In one possible implementation, the method comprises the steps of evaluating a plurality of primary scenic spots based on traffic data, travel data and cultural data, determining a plurality of recommended scenic spots, wherein the method comprises the steps of evaluating traffic conditions of the primary scenic spots based on user positions, positions of the primary scenic spots and the traffic data to obtain traffic evaluation factors of the primary scenic spots, wherein the traffic evaluation factors comprise accessibility factors, congestion condition factors and traffic