WO2022217685A1 - 一种旅游景区智能路径规划方法及*** - Google Patents

一种旅游景区智能路径规划方法及*** Download PDF

Info

Publication number
WO2022217685A1
WO2022217685A1 PCT/CN2021/094005 CN2021094005W WO2022217685A1 WO 2022217685 A1 WO2022217685 A1 WO 2022217685A1 CN 2021094005 W CN2021094005 W CN 2021094005W WO 2022217685 A1 WO2022217685 A1 WO 2022217685A1
Authority
WO
WIPO (PCT)
Prior art keywords
scenic spot
time
paths
candidate
user
Prior art date
Application number
PCT/CN2021/094005
Other languages
English (en)
French (fr)
Inventor
王鉥
Original Assignee
海南云端信息技术有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 海南云端信息技术有限公司 filed Critical 海南云端信息技术有限公司
Publication of WO2022217685A1 publication Critical patent/WO2022217685A1/zh

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/14—Travel agencies

Definitions

  • the present application relates to the technical field of travel route navigation, and in particular, to a method and system for intelligent route planning in tourist attractions.
  • the existing scenic route planning method usually only calculates the shortest route of the tour guide, and recommends the shortest route as the best route, which lacks real-time performance. Sometimes there will be crowded people on the recommended route, resulting in too long tour time. The actual tour time and the expected tour time are different. , the tour plan is disrupted, or the attractions on the route have low ratings, so that tourists do not get the best tour experience. There are also some scenic route planning methods that include as many scenic spots as possible, and do not take into account the expected tour time of tourists at all, resulting in disrupted arrangements for tourists' accommodation, meals, etc., and tourists' tour experience is poor.
  • the embodiments of the present application provide an intelligent path planning method and system for a tourist attraction, which can recommend the best path in real time by combining the comprehensive score of the scenic spot, the real-time number of people and the estimated tour time of tourists, so that tourists can get a good tour experience.
  • the present application provides an intelligent path planning method for tourist attractions, including: step S1, obtaining comprehensive scores, real-time number of people and user positions of each scenic spot in the target scenic spot; step S2, generating according to the user positions, including multiple A first candidate path set P ⁇ p 1 , p 2 , . Calculate the travel time required for each of the candidate sub-paths, and extract the candidate sub-paths whose travel time is greater than the preset travel time from the first candidate path set P ⁇ p 1 , p 2 , . . . , p n ⁇ to obtain a second candidate path set Q ⁇ q 1 , q 2 , . , q 2 , .
  • the candidate sub-paths described in 2 , . . . , q m ⁇ are arranged in sequence and pushed to the user.
  • the tour time required by the candidate sub-paths is equal to the sum of the estimated user walking time and the estimated scenic spot tour time; wherein, the calculation method of the estimated user walking time is: calculating the candidate sub-paths according to the browsing order of the scenic spots. The length of the candidate sub-path is multiplied by the preset speed factor to obtain the walking time; the calculation method of the scenic spot tour time is: the tour time of a single scenic spot is equal to the real-time number of people in the scenic spot multiplied by the preset scenic spot tour factor, the scenic spot The tour time is the sum of the tour times of all the individual attractions in the candidate sub-path.
  • the comprehensive recommendation index is equal to the sum of the comprehensive scores of each scenic spot in the candidate sub-path.
  • the method for obtaining the real-time number of people is as follows: installing a passenger flow counting camera at the entrance and exit of each scenic spot, obtaining the height information of the target through the passenger flow counting camera, analyzing the behavioral trajectories of pedestrians in combination with an intelligent tracking algorithm, and calculating the trajectories of each scenic spot. real-time number of people.
  • an intelligent path planning method for a tourist attraction of the present invention further includes:
  • Step S6 screen the candidate sub-paths that are sequentially arranged and pushed to the user, screen out the candidate sub-paths including the selected scenic spots according to the user's request and push them to the user, or screen out the candidate sub-paths that do not include the selected scenic spots and push them to the user. user.
  • an intelligent path planning method for a tourist attraction of the present invention further includes:
  • Step S7 Display the scenic spot information included in the pushed candidate sub-paths according to the user request, wherein the scenic spot information includes one or more of the scenic spot name, the scenic spot geographic location, the real-time number of people in the scenic spot, the scenic spot browsing time, and the scenic spot score. any combination of .
  • the intelligent path planning method for tourist attractions in this application combines the comprehensive score of the scenic spots, the real-time number of people and the preset tour time set by tourists, and can provide users with the conditions that the browsing time does not exceed the preset tour time set by tourists.
  • the path with a high comprehensive recommendation index avoids the crowded tour route and takes too long, which leads to the disruption of the arrangement of accommodation and meals for tourists, and provides users with a good browsing experience.
  • the present application also provides an intelligent path planning system for tourist attractions, including: a data collection module for acquiring comprehensive scores, real-time number of people and user positions of each scenic spot in a target scenic spot; a first generation module for generating according to the user positions, including a first candidate path set P ⁇ p 1 , p 2 , .
  • the candidate sub-paths described in the two candidate path sets Q ⁇ q 1 , q 2 , . . . , q m ⁇ are arranged in sequence and pushed to the user.
  • the camera module includes a number of passenger flow statistics cameras arranged at the entrances and exits of various scenic spots, and the height information of the target is obtained through the passenger flow statistics cameras, and the behavioral trajectories of pedestrians are analyzed according to the intelligent tracking algorithm.
  • the real-time number of people in the scenic spot and upload the data to the data collection module.
  • it also includes a screening module, which is used to screen the candidate sub-paths pushed to the user in sequence, and screen out the candidate sub-paths that include the selected scenic spots according to the user's request or screen out the candidate sub-paths that do not include the selected scenic spots.
  • a screening module which is used to screen the candidate sub-paths pushed to the user in sequence, and screen out the candidate sub-paths that include the selected scenic spots according to the user's request or screen out the candidate sub-paths that do not include the selected scenic spots.
  • Candidate subpaths for attractions are used to screen the candidate sub-paths pushed to the user in sequence, and screen out the candidate sub-paths that include the selected scenic spots according to the user's request or screen out the candidate sub-paths that do not include the selected scenic spots.
  • the push module is further configured to push the scenic spot information included in the candidate sub-paths according to the user's request, wherein the scenic spot information includes the scenic spot name, the scenic spot geographic location, the real-time number of people at the scenic spot, the viewing time of the scenic spot, and the score of the scenic spot. any combination of one or more of them.
  • the intelligent path planning system for tourist attractions of the present application has the same advantages as the intelligent path planning method for tourist attractions, which will not be repeated here.
  • Fig. 1 is the flow chart of the intelligent route planning method of the tourist attraction provided in the embodiment of this application;
  • FIG. 2 is a block diagram of a module of an intelligent path planning system for a tourist attraction provided in an embodiment of the present application.
  • An intelligent path planning method for a tourist attraction includes: step S1, obtaining comprehensive scores, real-time number of people and user positions of each scenic spot in the target scenic spot, and the comprehensive score of each scenic spot passes the The historical scores of tourists are obtained from statistics. For example, after tourists visit, they will score scenic spots through mobile terminals, and the average value of each user's score will be taken as a comprehensive score; Step S2, according to the user's location, generate a first list including multiple candidate sub-paths. A set of candidate paths P ⁇ p 1 , p 2 , . . . , p n ⁇ , wherein the candidate sub-paths include several scenic spots and their browsing order.
  • the scenic spot is any combination of K scenic spots. Take a combination L to generate a path.
  • the number of scenic spots in L is less than or equal to K, and the number of candidate sub-paths is the level of L. If the number of scenic spots in L is equal to 3, the scenic spots are a and b respectively.
  • c, candidate subpaths include ⁇ a ⁇ b ⁇ c ⁇ , ⁇ a ⁇ c ⁇ b ⁇ , ⁇ b ⁇ c ⁇ a ⁇ , ⁇ b ⁇ a ⁇ c ⁇ , ⁇ b ⁇ c ⁇ a ⁇ , ⁇ b ⁇ a ⁇ c ⁇ 6 kinds of routes, which represent the sequence of viewing scenic spots from the current position and the path between any two scenic spots is calculated by the shortest path, and the shortest path of any two scenic spots is pre-stored in the library; step S3, according to the real-time data of each scenic spot
  • the number of people calculates the travel time required for each of the candidate sub-paths, and the candidate sub-paths whose travel time is greater than the preset travel time are selected from the first candidate path set P ⁇ p 1 , p 2 , . .
  • Step S4 calculate all the candidate sub-paths in the second candidate path set Q ⁇ q 1 , q 2 , . . . , q m ⁇ according to the comprehensive score of each scenic spot
  • the comprehensive recommendation index is related to the number and score of the scenic spots in the selected path.
  • Step S5 Descending all the comprehensive recommendation indexes Sort, and push the candidate sub-paths in the second candidate path set Q ⁇ q 1 , q 2 , . .
  • the intelligent path planning method for tourist attractions in the embodiment of the present invention is mainly applied to the server and the user's handheld mobile terminal to provide intelligent browsing paths for the user, wherein the user groups are mainly tour guides and tourists.
  • the comprehensive score of each scenic spot, the real-time number of people and the location of the user are obtained through the user's handheld mobile terminal.
  • the browsing time can be satisfied.
  • the preset tour time set by the user can be satisfied. Under the condition of setting the tour time, it provides users with a route with a high comprehensive recommendation index.
  • the comprehensive recommendation index is obtained based on the scores of each scenic spot on the route, which avoids the crowded tour route and takes too long, which leads to the arrangement of accommodation and meals for tourists.
  • the scrambled situation provides users with a good browsing experience.
  • the tour time required by the candidate sub-paths is equal to the sum of the estimated user walking time and the estimated scenic spot tour time; wherein, the calculation method of the estimated user walking time is: according to the browsing time of the scenic spot Calculate the length of the candidate sub-paths sequentially, and multiply the length of the candidate sub-path by the preset speed factor to obtain the travel time. Understandably, calculating the length of the candidate sub-path should include the distance from the user's current location to the first tourist attraction plus The distance from the first tourist attraction to the last tourist attraction in turn.
  • the size of the speed factor is set according to the transportation mode selected by the user. If a faster vehicle is selected, a smaller speed factor is called.
  • the calculation method of the sightseeing time of the scenic spot is: the visiting time of a single scenic spot is equal to the real-time number of people in the scenic spot multiplied by the preset scenic spot visiting factor, the scenic spot visiting time is the sum of the visiting time of all the individual scenic spots in the candidate sub-path, and the scenic spot visiting factor is based on the history of the scenic spot.
  • the average browsing time of historical statistics and the average number of scenic spots in historical statistics can be used as the tourist attraction factors.
  • the comprehensive recommendation index is equal to the sum of the comprehensive scores of each scenic spot in the candidate sub-paths.
  • the comprehensive score of each scenic spot is obtained by counting the historical scores of tourists, and the number and scores of the candidate sub-path scenic spots can be integrated, so that tourists can Able to visit more highly rated attractions.
  • the method of obtaining the real-time number of people is: install a passenger flow counting camera at the entrance and exit of each scenic spot, obtain the height information of the target through the passenger flow counting camera, and analyze the behavior trajectory of pedestrians with the intelligent tracking algorithm, so as to calculate the real-time number of people in each scenic spot,
  • the passenger flow counting camera adopts the model iDS-2CD6810F/C passenger flow counting camera, which has built-in counting function of people flow, which can count and upload the real-time number of people.
  • step S6 screening the candidate sub-paths that are arranged and pushed to the user in sequence, and screening out the candidate sub-paths including the selected scenic spots according to the user's request and pushing them to the user or screening out the candidate sub-paths that do not include the selected scenic spots.
  • step S7 displaying the scenic spot information included in the pushed candidate sub-paths according to the user's request, wherein the scenic spot information includes the scenic spot name, the scenic spot geographic location, the real-time number of people in the scenic spot, the scenic spot browsing time and Any combination of one or more of the attraction ratings.
  • the scenic spot information includes the scenic spot name, the scenic spot geographic location, the real-time number of people in the scenic spot, the scenic spot browsing time and Any combination of one or more of the attraction ratings.
  • the intelligent path planning method for tourist attractions in the embodiment of the present invention is not limited to the traditional path planning and planning ideas. It not only recommends a route to customers for the purpose of selecting the shortest path, but also further according to the comprehensive score of the scenic spots included in the path and the real-time real-time data of the scenic spots. The number of tourists and the scheduled tour time of tourists, to filter out a reasonable path for users. The selection of the path changes with the tour time set by tourists and the real-time number of scenic spots, and can filter out the routes that include the scenic spots that tourists want to visit or avoid the routes that include tourists. Routes that do not want to be visited, so as to recommend intelligent and reasonable routes to customers.
  • an embodiment of the present invention also proposes an intelligent path planning system for tourist attractions, including: a data collection module 1, which obtains the comprehensive score, real-time number of people and user positions of each scenic spot in the target scenic spot; a first generation module 2, used for Generating a first candidate path set P ⁇ p 1 , p 2 , .
  • the second generation module 3 is configured to calculate the tour time required by each candidate sub-path according to the real-time number of people in each scenic spot, and select the candidate sub-path whose tour time is greater than the preset tour time from the first candidate path Remove from the set P ⁇ p 1 , p 2 , ..., p n ⁇ to obtain the second candidate path set Q ⁇ q 1 , q 2 , ..., q m ⁇ ; calculation module 4, used for according to each scenic spot Calculate the comprehensive recommendation index of all the candidate sub-paths in the second candidate path set Q ⁇ q 1 , q 2 , . . .
  • the comprehensive recommendation index is sorted in descending order, and the candidate sub-paths in the second candidate path set Q ⁇ q 1 , q 2 , . . . , q m ⁇ are sequentially arranged and pushed to the user.
  • the intelligent path planning system for tourist attractions in the embodiment of the present invention can provide users with a path with a high comprehensive recommendation index under the condition that the browsing time does not exceed the tourists' scheduled tour time by combining the comprehensive score of the scenic spot, the real-time number of people and the scheduled tour time of tourists.
  • the comprehensive recommendation index is obtained based on the scores of each scenic spot on the route, which avoids the congestion of the tour route and takes too long, which leads to the disruption of the arrangement of accommodation and meals for tourists, and provides users with a good browsing experience.
  • an intelligent path planning system for a tourist attraction further includes a camera module, the camera module includes a number of passenger flow statistics cameras arranged at the entrances and exits of each scenic spot, and the height information of the target is obtained through the passenger flow statistics cameras,
  • the intelligent tracking algorithm the pedestrian's behavior trajectory is analyzed, the real-time number of people in each scenic spot is calculated, and the data is uploaded to the data collection module 1.
  • the passenger flow statistics camera adopts the model iDS-2CD6810F/C passenger flow statistics camera, which has a built-in function of counting the number of people flow, and can count the real-time number of people and upload it to the data acquisition module 1.
  • an intelligent path planning system for a tourist attraction further includes a screening module, the screening module is configured to screen the candidate sub-paths that are sequentially arranged and pushed to the user, and screen out the selected sub-paths according to the user's request.
  • the candidate sub-paths of the scenic spots are pushed to the user through the push module 5 or the candidate sub-paths that do not include the selected scenic spots are filtered out and pushed to the user through the push module 5 .
  • the user can send the name of the scenic spot that must be visited, and further screen out candidate sub-paths with the scenic spot to meet the user's needs and improve user satisfaction.
  • the user can send the names of the scenic spots not to be visited, and further screen out candidate sub-paths that do not have the scenic spots.
  • the push module 5 is also used to push the scenic spot information included in the candidate sub-paths according to the user's request, wherein the scenic spot information includes the scenic spot name, the scenic spot geographical location, the real-time number of people in the scenic spot, the scenic spot browsing time and the scenic spot rating. any combination of one or more.

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Tourism & Hospitality (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Software Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Mathematical Physics (AREA)
  • Databases & Information Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Health & Medical Sciences (AREA)
  • Economics (AREA)
  • General Engineering & Computer Science (AREA)
  • Human Resources & Organizations (AREA)
  • Marketing (AREA)
  • Primary Health Care (AREA)
  • Strategic Management (AREA)
  • General Business, Economics & Management (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

一种旅游景区智能路径规划方法及***，旅游景区智能路径规划方法包括：步骤S1、获取目标景区内各个景点的综合评分、实时人数并定位用户位置；步骤S2、根据用户位置生成包括多个候选子路径的第一候选路径集P{p1，p2，...，pn}；步骤S3、根据各个景点的实时人数计算候选子路径所需要的游览时间，获得第二候选路径集Q{q1，q2，...，qm}；步骤S4、根据各个景点的综合评分计算第二候选路径集Q{q1，q2，...，qm}中所有候选子路径的综合推荐指数；步骤S5、根据综合推荐指数的大小将候选子路径依次推送给用户。结合景点的综合评分、实时人数及游客预计的游览时间，实时推荐最佳路径，使游客得到良好的游览体验。

Description

一种旅游景区智能路径规划方法及*** 技术领域
本申请涉及旅游路径导航技术领域，尤其涉及一种旅游景区智能路径规划方法及***。
 背景技术
当代人们生活水平的不断提高，人们对生活质量的要求也随之提高，近年来人们对文化旅游方面的需求不断加强。人们旅游时，跟团旅游是个常见选择，跟团旅游往往需要一个导游带队，导游需要为团队选择一个合适的旅游路径。
 技术问题
现有的景区路径规划方法通常只计算导游最短路线，将最短路径作为最佳路径推荐，缺乏实时性，有时候会出现推荐路径上人数拥挤导致游览时间过长，实际游览时间和预期游览时间不同，游览计划被打乱，或者路径上的景点评分低的情况，使游客没有得到最好的游览体验。还有一些景区路径规划方法则是尽可能包括多的景点，完全没有考虑游客预计的游览时间，导致游客后面的住宿、吃饭等安排被打乱，游客的游览体验差。
 技术解决方案
本申请实施例提供了一种旅游景区智能路径规划方法及***，结合景点的综合评分、实时人数及游客预计的游览时间，实时推荐最佳路径，使游客得到良好的游览体验。
有鉴于此，本申请提供了一种旅游景区智能路径规划方法，包括：步骤S1、获取目标景区内各个景点的综合评分、实时人数和用户位置；步骤S2、根据所述用户位置生成包括多个候选子路径的第一候选路径集P{p 1，p 2，...，p n}，其中，所述候选子路径包括若干景点及景点的浏览顺序；步骤S3、根据各个景点的实时人数计算各所述候选子路径所需要的游览时间，将所述游览时间大于预置游览时间的所述候选子路径从所述第一候选路径集P{p 1，p 2，...，p n}中去除，得到第二候选路径集Q{q 1，q 2，...，q m}；步骤S4、根据各个景点的所述综合评分计算所述第二候选路径集Q{q 1，q 2，...，q m}中所有所述候选子路径的综合推荐指数；步骤S5、对所有所述综合推荐指数降序排序，将所述第二候选路径集Q{q 1，q 2，...，q m}中所述候选子路径依次排列推送给用户。
可选地，所述候选子路径所需要的游览时间等于预估用户行走时间与预估景点游览时间之和；其中，预估用户行走时间的计算方法为：根据景点的浏览顺序计算候选子路径的长度，将候选子路径的长度乘以预设的速度因子得到行走时间；所述景点游览时间的计算方法为：单个景点的游览时间等于景点的实时人数乘以预设的景点游览因子，景点游览时间为候选子路径内所有单个景点的游览时间之和。
可选地，所述综合推荐指数等于候选子路径中各个景点的所述综合评分之和。
可选地，获取所述实时人数的方法为：在各个景点的出入口处安装客流量统计摄像机，通过客流量统计摄像机获取目标的高度信息，结合智能跟踪算法分析行人的行为轨迹，计算各个景点的实时人数。
可选地，本发明的一种旅游景区智能路径规划方法，还包括：
步骤S6、对依次排列推送给用户的所述候选子路径进行筛选，根据用户请求筛选出包括选定景点的候选子路径并推送给用户或筛选出不包括选定景点的候选子路径并推送给用户。
可选地，本发明的一种旅游景区智能路径规划方法，还包括：
步骤S7、根据用户请求，展示推送的候选子路径中包括的景点信息，其中，所述景点信息包括景点名称、景点地理位置、景点实时人数、景点浏览时间及景点评分中的一种或多种的任一组合。
从以上技术方案可以看出，本申请的旅游景区智能路径规划方法具有以下优点：
本申请中的旅游景区智能路径规划方法结合景点的综合评分、实时人数及游客设定的预置游览时间，能够在满足浏览时间不超过游客设定的预置游览时间的条件下，为用户提供综合推荐指数高的路径，避免了游览路线拥挤，花费时间过长，导致游客后面的住宿、吃饭等安排被打乱的情况，为用户提供良好的浏览体验。
本申请还提供了一种旅游景区智能路径规划***，包括：数据采集模块，获取目标景区内各个景点的综合评分、实时人数和用户位置；第一生成模块，用于根据所述用户位置生成包括多个候选子路径的第一候选路径集P{p 1，p 2，...，p n}，其中，所述候选子路径包括若干景点及景点的浏览顺序；第二生成模块，用于根据各个景点的实时人数计算各所述候选子路径所需要的游览时间，将所述游览时间大于预置游览时间的所述候选子路径从所述第一候选路径集P{p 1，p 2，...，p n}中去除，得到第二候选路径集Q{q 1，q 2，...，q m}；计算模块，用于根据各个景点的所述综合评分计算所述第二候选路径集Q{q 1，q 2，...，q m}中所有所述候选子路径的综合推荐指数；推送模块，用于对所有所述综合推荐指数降序排序，将所述第二候选路径集Q{q 1，q 2，...，q m}中所述候选子路径依次排列推送给用户。
可选地，还包括摄像模块，所述摄像模块包括若干设置于各个景点的出入口的客流量统计摄像机，通过客流量统计摄像机获取目标的高度信息，根据智能跟踪算法分析行人的行为轨迹，计算各个景点的实时人数，并将数据上传到数据采集模块。
可选地，还包括筛选模块，所述筛选模块用于对依次排列推送给用户的所述候选子路径进行筛选，根据用户请求筛选出包括选定景点的候选子路径或筛选出不包括选定景点的候选子路径。
可选地，所述推送模块还用于根据用户请求，推送候选子路径中包括的景点信息，其中，所述景点信息包括景点名称、景点地理位置、景点实时人数、景点浏览时间及景点评分中的一种或多种的任一组合。
本申请的旅游景区智能路径规划***具有和旅游景区智能路径规划方法相同的优点，在此不做赘述。
 附图说明
图1为本申请实施例中提供的旅游景区智能路径规划方法的流程图；
图2为本申请实施例中提供的旅游景区智能路径规划***的模块框图。
 本发明的最佳实施方式
为了使本技术领域的人员更好地理解本申请方案，下面将结合本申请实施例中的附图，对本申请实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅是本申请一部分实施例，而不是全部的实施例。基于本申请中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本申请保护的范围。
为了便于理解，请参阅图1，本发明实施例的一种旅游景区智能路径规划方法，包括：步骤S1、获取目标景区内各个景点的综合评分、实时人数和用户位置，各个景点的综合评分通过对游客历史评分统计得到，如游客游览后会通过移动终端对景点评分，通过取各用户的评分的平均值作为综合评分；步骤S2、根据所述用户位置生成包括多个候选子路径的第一候选路径集P{p 1，p 2，...，p n}，其中，所述候选子路径包括若干景点及景点的浏览顺序，例如，若景区内有K个景点，候选子路径中的景点为K个景点中的任意组合，取一个组合L生成路径，L中景点数量小于或等于K，候选子路径的数量为L的阶层，若L中景点数量等于3，景点分别为a，b，c，候选子路径包括{a→b→c}、{a→c→b}、{b→c→a}、{b→a→c}、{b→c→a}、{b→a→c}6种路线，代表从当前位置依次浏览景点顺序且任意两个景点间的路径选用最短路径计算，任意两个景点的最短路径预先储存在库内；步骤S3、根据各个景点的实时人数计算各所述候选子路径所需要的游览时间，将所述游览时间大于预置游览时间的所述候选子路径从所述第一候选路径集P{p 1，p 2，...，p n}中去除，得到第二候选路径集Q{q 1，q 2，...，q m}，第二候选路径集Q中的路径均能满足用户时间需求，避免出现游览时间过长导致后面安排被打乱的情况；步骤S4、根据各个景点的所述综合评分计算所述第二候选路径集Q{q 1，q 2，...，q m}中所有所述候选子路径的综合推荐指数，综合推荐指数与所选路径中景点的数量和评分均有关系，路径上的景点的数量和评分越高，综合推荐指数越高；步骤S5、对所有所述综合推荐指数降序排序，将所述第二候选路径集Q{q 1，q 2，...，q m}中所述候选子路径依次排列推送给用户，使用户能快速浏览综合推荐指数高的候选子路径。
本发明实施例的旅游景区智能路径规划方法主要应用于服务器以及用户手持移动终端，为用户提供智能浏览路径，其中用户群体主要是导游和游客。其中，各个景点的综合评分、实时人数并定位用户位置均通过用户手持移动终端获取，结合景点的综合评分、实时人数及游客预定的预置游览时间，能够在满足浏览时间不超过用户设置的预置游览时间的条件下，为用户提供综合推荐指数高的路径，其中综合推荐指数基于路径上各个景点的评分获得，避免了游览路线拥挤，花费时间过长，导致游客后面的住宿、吃饭等安排被打乱的情况，为用户提供良好的浏览体验。
进一步，在本发明的一些实施例中，候选子路径所需要的游览时间等于预估用户行走时间与预估景点游览时间之和；其中，预估用户行走时间的计算方法为：根据景点的浏览顺序计算候选子路径的长度，将候选子路径的长度乘以预设的速度因子得到行走时间，可理解地，算候选子路径的长度应该包括用户当前位置到第一个游览景点的距离再加上第一个游览景点依次前进到最后一个游览景点的距离，速度因子的大小根据用户选择的交通方式设定，如选用速度较快的交通工具则调用较小的速度因子。景点游览时间的计算方法为：单个景点的游览时间等于景点的实时人数乘以预设的景点游览因子，景点游览时间为候选子路径内所有单个景点的游览时间之和，景点游览因子根据景区历史统计的人员浏览时间设定，例如可以用历史统计的人员平均浏览时间与历史统计的平均景点人数作为景点游览因子。通过把行走时间加上景点游览时间作为候选子路径所需要的游览时间，考虑了实时浏览人数和交通方式，能够智能、实时地计算游览所需要的时间，数据准确、可靠。
具体的，在一些实施例中，综合推荐指数等于候选子路径中各个景点的综合评分之和，各个景点的综合评分通过对游客历史评分统计得到，能够综合候选子路径景点数量以及评分，使游客能够游览到更多高评分的景点。
进一步，实时人数的获取方法为：在各个景点的出入口处安装客流量统计摄像机，通过客流量统计摄像机获取目标的高度信息，结合智能跟踪算法分析行人的行为轨迹，从而计算各个景点的实时人数，客流量统计摄像机选用型号为iDS-2CD6810F/C 的客流统计摄像机，内置人流数量统计功能，能够将统计实时人数并上传。
进一步，在一些实施例中，还包括步骤S6、对依次排列推送给用户的所述候选子路径进行筛选，根据用户请求筛选出包括选定景点的候选子路径并推送给用户或筛选出不包括选定景点的候选子路径并推送给用户。例如，当用户对某一或多个景点有强烈的游览渴望时，用户可发送必须游览的景点名称，进一步筛选出具有该景点的候选子路径，满足用户需求，提高用户满意度。或者当用户对某一或多个景点不感兴趣或已经浏览，用户可发送不用游览的景点名称，进一步筛选出不具有该景点的候选子路径。
进一步，再本发明实施例中，还包括步骤S7、根据用户请求，展示推送的候选子路径中包括的景点信息，其中，景点信息包括景点名称、景点地理位置、景点实时人数、景点浏览时间及景点评分中的一种或多种的任一组合。当用户想详细了解某一候选子路径的信息时，通过步骤S7推送相关消息，让用户了解景区信息，让其做出正确选择。
本发明实施例的旅游景区智能路径规划方法，不局限于传统的路径规划规划思路，既只为了选择最短路径为目的向客户推荐路线，而是进一步根据路径中包括景点的综合评分、景点的实时人数及游客预定游览时间，为用户筛选出合理的路径，路径的选择随着游客设定的游览时间、景点的实时人数而变化，并且可以筛选出包含游客想游览景点的路线或避开包含游客不想游览的路线，从而给客户推荐智能合理的路线。
参见图2，本发明实施例还提出一种旅游景区智能路径规划***，包括：数据采集模块1，获取目标景区内各个景点的综合评分、实时人数和用户位置；第一生成模块2，用于根据所述用户位置生成包括多个候选子路径的第一候选路径集P{p 1，p 2，...，p n}，其中，所述候选子路径包括若干景点及景点的浏览顺序；第二生成模块3，用于根据各个景点的实时人数计算各所述候选子路径所需要的游览时间，将所述游览时间大于预置游览时间的所述候选子路径从所述第一候选路径集P{p 1，p 2，...，p n}中去除，得到第二候选路径集Q{q 1，q 2，...，q m}；计算模块4、用于根据各个景点的所述综合评分计算所述第二候选路径集Q{q 1，q 2，...，q m}中所有所述候选子路径的综合推荐指数；推送模块5，用于对所有所述综合推荐指数降序排序，将所述第二候选路径集Q{q 1，q 2，...，q m}中所述候选子路径依次排列推送给用户。
本发明实施例的旅游景区智能路径规划***结合景点的综合评分、实时人数及游客预定游览时间，能够在满足浏览时间不超过游客预定游览时间的条件下，为用户提供综合推荐指数高的路径，其中综合推荐指数基于路径上各个景点的评分获得，避免了游览路线拥挤，花费时间过长，导致游客后面的住宿、吃饭等安排被打乱的情况，为用户提供良好的浏览体验。
进一步，本发明实施例的一种旅游景区智能路径规划***，还包括摄像模块，所述摄像模块包括若干设置于各个景点的出入口的客流量统计摄像机，通过客流量统计摄像机获取目标的高度信息，根据智能跟踪算法分析行人的行为轨迹，计算各个景点的实时人数，并将数据上传到数据采集模块1。具体的，客流量统计摄像机选用型号为iDS-2CD6810F/C 的客流统计摄像机，内置人流数量统计功能，能够将统计实时人数并上传到数据采集模块1。
进一步，本发明实施例的一种旅游景区智能路径规划***，还包括筛选模块，所述筛选模块用于对依次排列推送给用户的所述候选子路径进行筛选，根据用户请求筛选出包括选定景点的候选子路径并通过推送模块5推送给用户或筛选出不包括选定景点的候选子路径并通过所述推送模块5推送给用户。例如，当用户对某一或多个景点有强烈的游览渴望时，用户可发送必须游览的景点名称，进一步筛选出具有该景点的候选子路径，满足用户需求，提高用户满意度。或者当用户对某一或多个景点不感兴趣或已经浏览，用户可发送不用游览的景点名称，进一步筛选出不具有该景点的候选子路径。
进一步，所述推送模块5还用于根据用户请求，推送候选子路径中包括的景点信息，其中，所述景点信息包括景点名称、景点地理位置、景点实时人数、景点浏览时间及景点评分中的一种或多种的任一组合。
通过以上的实施方式的描述，本领域的技术人员可以清楚地了解到本发明可借助软件结合硬件平台的方式来实现。基于这样的理解，本发明的技术方案对背景技术做出贡献的全部或者部分可以以软件产品的形式体现出来，该计算机软件产品可以存储在存储介质中，如ROM/RAM、磁碟、光盘等，包括若干指令用以使得一台计算机设备(可以是个人计算机，服务器，或者网络设备等)执行本发明各个实施例或者实施例的某些部分所述的方法。
以上所述，以上实施例仅用以说明本申请的技术方案，而非对其限制；尽管参照前述实施例对本申请进行了详细的说明，本领域的普通技术人员应当理解：其依然可以对前述各实施例所记载的技术方案进行修改，或者对其中部分技术特征进行等同替换；而这些修改或者替换，并不使相应技术方案的本质脱离本申请各实施例技术方案的精神和范围。

Claims (10)

  1. 一种旅游景区智能路径规划方法，其特征在于，包括：
    步骤S1、获取目标景区内各个景点的综合评分、实时人数和用户位置；
    步骤S2、根据所述用户位置生成包括多个候选子路径的第一候选路径集P{p 1，p 2，...，p n}，其中，所述候选子路径包括若干景点及景点的浏览顺序；
    步骤S3、根据各个景点的实时人数计算各所述候选子路径所需要的游览时间，将所述游览时间大于预置游览时间的所述候选子路径从所述第一候选路径集P{p 1，p 2，...，p n}中去除，得到第二候选路径集Q{q 1，q 2，...，q m}；
    步骤S4、根据各个景点的所述综合评分计算所述第二候选路径集Q{q 1，q 2，...，q m}中所有所述候选子路径的综合推荐指数；
    步骤S5、对所有所述综合推荐指数降序排序，将所述第二候选路径集Q{q 1，q 2，...，q m}中所述候选子路径依次排列推送给用户。
  2. 根据权利要求1所述的一种旅游景区智能路径规划方法，其特征在于，所述候选子路径所需要的游览时间等于预估用户行走时间与预估景点游览时间之和；其中，预估用户行走时间的计算方法为：根据景点的浏览顺序计算候选子路径的长度，将候选子路径的长度乘以预设的速度因子得到行走时间；所述景点游览时间的计算方法为：单个景点的游览时间等于景点的实时人数乘以预设的景点游览因子，景点游览时间为候选子路径内所有单个景点的游览时间之和。
  3. 根据权利要求1所述的一种旅游景区智能路径规划方法，其特征在于，所述综合推荐指数等于候选子路径中各个景点的所述综合评分之和。
  4. 根据权利要求1所述的一种旅游景区智能路径规划方法，其特征在于，获取所述实时人数的方法为：在各个景点的出入口处安装客流量统计摄像机，通过客流量统计摄像机获取目标的高度信息，结合智能跟踪算法分析行人的行为轨迹，计算各个景点的实时人数。
  5. 根据权利要求1所述的一种旅游景区智能路径规划方法，其特征在于，还包括：
    步骤S6、对依次排列推送给用户的所述候选子路径进行筛选，根据用户请求筛选出包括选定景点的候选子路径并推送给用户或筛选出不包括选定景点的候选子路径并推送给用户。
  6. 根据权利要求1或5所述的一种旅游景区智能路径规划方法，其特征在于，还包括：
    步骤S7、根据用户请求，展示推送的候选子路径中包括的景点信息，其中，所述景点信息包括景点名称、景点地理位置、景点实时人数、景点浏览时间及景点评分中的一种或多种的任一组合。
  7. 一种旅游景区智能路径规划***，其特征在于，包括：
    数据采集模块，获取目标景区内各个景点的综合评分、实时人数和用户位置；
    第一生成模块，用于根据所述用户位置生成包括多个候选子路径的第一候选路径集P{p 1，p 2，...，p n}，其中，所述候选子路径包括若干景点及景点的浏览顺序；
    第二生成模块，用于根据各个景点的实时人数计算各所述候选子路径所需要的游览时间，将所述游览时间大于预置游览时间的所述候选子路径从所述第一候选路径集P{p 1，p 2，...，p n}中去除，得到第二候选路径集Q{q 1，q 2，...，q m}；
    计算模块，用于根据各个景点的所述综合评分计算所述第二候选路径集Q{q 1，q 2，...，q m}中所有所述候选子路径的综合推荐指数；
    推送模块，用于对所有所述综合推荐指数降序排序，将所述第二候选路径集Q{q 1，q 2，...，q m}中所述候选子路径依次排列推送给用户。
  8. 根据权利要求7所述的一种旅游景区智能路径规划***，其特征在于，还包括摄像模块，所述摄像模块包括若干设置于各个景点的出入口的客流量统计摄像机，通过客流量统计摄像机获取目标的高度信息，根据智能跟踪算法分析行人的行为轨迹，计算各个景点的实时人数，并将数据上传到数据采集模块。
  9. 根据权利要求7所述的一种旅游景区智能路径规划***，其特征在于，还包括筛选模块，所述筛选模块用于对依次排列推送给用户的所述候选子路径进行筛选，根据用户请求筛选出包括选定景点的候选子路径或筛选出不包括选定景点的候选子路径。
  10. 根据权利要求7所述的一种旅游景区智能路径规划***，其特征在于，所述推送模块还用于根据用户请求，推送候选子路径中包括的景点信息，其中，所述景点信息包括景点名称、景点地理位置、景点实时人数、景点浏览时间及景点评分中的一种或多种的任一组合。
PCT/CN2021/094005 2021-04-13 2021-05-17 一种旅游景区智能路径规划方法及*** WO2022217685A1 (zh)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN202110395795.0 2021-04-13
CN202110395795 2021-04-13

Publications (1)

Publication Number Publication Date
WO2022217685A1 true WO2022217685A1 (zh) 2022-10-20

Family

ID=83640040

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2021/094005 WO2022217685A1 (zh) 2021-04-13 2021-05-17 一种旅游景区智能路径规划方法及***

Country Status (1)

Country Link
WO (1) WO2022217685A1 (zh)

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115438241A (zh) * 2022-10-24 2022-12-06 广州市明道文化产业发展有限公司 随机式信息交互展示方法、***及存储介质
CN115718836A (zh) * 2022-11-21 2023-02-28 广州喜玩网络信息有限公司 一种基于大数据的旅游方案可视化辅助选择***
CN116450709A (zh) * 2023-06-15 2023-07-18 陕西云创网络科技股份有限公司 一种基于大数据的景区数据监测分析方法
CN117152677A (zh) * 2023-08-01 2023-12-01 中国环境科学研究院 一种评估风景名胜区游客满意度的监控***及方法
CN117172388A (zh) * 2023-10-26 2023-12-05 新唐信通(北京)科技有限公司 一种基于景点排序的景区导航方法
CN117273251A (zh) * 2023-09-20 2023-12-22 广西艺术学院 一种基于大数据的智能规划方法及***
CN117520662A (zh) * 2024-01-04 2024-02-06 陕西云创网络科技股份有限公司 一种基于定位的景区智能导览方法及***
CN117909588A (zh) * 2024-01-23 2024-04-19 扬州自在岛生态旅游投资发展有限公司 一种基于大数据的旅游线路推荐***及方法

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107680010A (zh) * 2017-09-29 2018-02-09 桂林电子科技大学 一种基于游览行为的景区路线推荐方法及其***
CN108681586A (zh) * 2018-05-14 2018-10-19 安徽师范大学 基于群智感知的旅游路线个性化推荐方法
CN108829852A (zh) * 2018-06-21 2018-11-16 桂林电子科技大学 一种个性化旅游路线推荐方法
CN111143680A (zh) * 2019-12-27 2020-05-12 上海携程商务有限公司 路线的推荐方法、***、电子设备及计算机存储介质
CN111797331A (zh) * 2020-06-09 2020-10-20 安徽师范大学 基于群智感知的多目标多约束路线推荐方法
WO2021051353A1 (en) * 2019-09-19 2021-03-25 Telefonaktiebolaget Lm Ericsson (Publ) Method and device for customized navigation

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107680010A (zh) * 2017-09-29 2018-02-09 桂林电子科技大学 一种基于游览行为的景区路线推荐方法及其***
CN108681586A (zh) * 2018-05-14 2018-10-19 安徽师范大学 基于群智感知的旅游路线个性化推荐方法
CN108829852A (zh) * 2018-06-21 2018-11-16 桂林电子科技大学 一种个性化旅游路线推荐方法
WO2021051353A1 (en) * 2019-09-19 2021-03-25 Telefonaktiebolaget Lm Ericsson (Publ) Method and device for customized navigation
CN111143680A (zh) * 2019-12-27 2020-05-12 上海携程商务有限公司 路线的推荐方法、***、电子设备及计算机存储介质
CN111797331A (zh) * 2020-06-09 2020-10-20 安徽师范大学 基于群智感知的多目标多约束路线推荐方法

Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115438241A (zh) * 2022-10-24 2022-12-06 广州市明道文化产业发展有限公司 随机式信息交互展示方法、***及存储介质
CN115438241B (zh) * 2022-10-24 2023-03-24 广州市明道文化产业发展有限公司 随机式信息交互展示方法、***及存储介质
CN115718836A (zh) * 2022-11-21 2023-02-28 广州喜玩网络信息有限公司 一种基于大数据的旅游方案可视化辅助选择***
CN115718836B (zh) * 2022-11-21 2023-08-08 广州喜玩网络信息有限公司 一种基于大数据的旅游方案可视化辅助选择***
CN116450709A (zh) * 2023-06-15 2023-07-18 陕西云创网络科技股份有限公司 一种基于大数据的景区数据监测分析方法
CN116450709B (zh) * 2023-06-15 2023-09-05 陕西云创网络科技股份有限公司 一种基于大数据的景区数据监测分析方法
CN117152677A (zh) * 2023-08-01 2023-12-01 中国环境科学研究院 一种评估风景名胜区游客满意度的监控***及方法
CN117273251A (zh) * 2023-09-20 2023-12-22 广西艺术学院 一种基于大数据的智能规划方法及***
CN117172388A (zh) * 2023-10-26 2023-12-05 新唐信通(北京)科技有限公司 一种基于景点排序的景区导航方法
CN117520662A (zh) * 2024-01-04 2024-02-06 陕西云创网络科技股份有限公司 一种基于定位的景区智能导览方法及***
CN117909588A (zh) * 2024-01-23 2024-04-19 扬州自在岛生态旅游投资发展有限公司 一种基于大数据的旅游线路推荐***及方法

Similar Documents

Publication Publication Date Title
WO2022217685A1 (zh) 一种旅游景区智能路径规划方法及***
EP3080724B1 (en) Generating elevation data for maps
CN111612122B (zh) 实时需求量的预测方法、装置及电子设备
CN104937650B (zh) 用于定位可用停车位的***及方法
US8271497B2 (en) Information processing apparatus and information processing method outputting information on movement of person
CN112348291B (zh) 旅游出行信息管理方法
CN110119822B (zh) 景区管理、行程规划方法、客户端和服务器
CN110297848A (zh) 基于联邦学习的推荐模型训练方法、终端及存储介质
CN107796411A (zh) 具有偏好分析机制的导航***及其操作方法
CN106960564A (zh) 一种车辆调度方法、装置及相关***
KR102301086B1 (ko) 빅데이터 기반 최적의 여행 경로 추천 시스템 및 여행 경로 추천 방법
CN109872664B (zh) 一种智慧导游装置
CN109961164A (zh) 客流量预测方法及装置
JP6489636B2 (ja) 情報収集装置、交通量評価システム、案内設備、情報収集方法及びプログラム
JP2016161998A (ja) 目的地推薦装置、サーバ、目的地推薦システムおよび目的地推薦プログラム
US20150005007A1 (en) Displaying demographic data
KR20200048756A (ko) 여행 루트 추천 서비스 제공 시스템 및 방법
CN110781256B (zh) 基于发送位置数据确定与Wi-Fi相匹配的POI的方法及装置
CN115866547A (zh) 基于信令数据的固定区域游客统计方法、***和存储介质
CN116823535B (zh) 一种基于多模态大模型的行程规划及智能导览***
KR102370007B1 (ko) 사용자 위치기반의 실시간 여행정보 제공시스템
CN116503209A (zh) 基于人工智能和数据驱动的数字孪生***
CN108717640B (zh) 旅游信息的数据处理方法和电子设备
CN116777685A (zh) 景区引导***、方法、装置及管理服务器
CN114297530A (zh) 一种基于大数据的行程规划方法及***

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 21936557

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 21936557

Country of ref document: EP

Kind code of ref document: A1