{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,20]],"date-time":"2025-11-20T18:08:03Z","timestamp":1763662083525,"version":"build-2065373602"},"reference-count":57,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2024,10,28]],"date-time":"2024-10-28T00:00:00Z","timestamp":1730073600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Key Research Institution of Social Sciences in Sichuan Province\u2014The Center for the Protection and Development of Local Cultural Resources","award":["DFWH2024-012","WHLY2024044","DNY2301"],"award-info":[{"award-number":["DFWH2024-012","WHLY2024044","DNY2301"]}]},{"name":"Key Research Base of Philosophy and Social Sciences of Deyang City\u2014General Project of Cultural Tourism Development Research Center in 2024","award":["DFWH2024-012","WHLY2024044","DNY2301"],"award-info":[{"award-number":["DFWH2024-012","WHLY2024044","DNY2301"]}]},{"name":"Key Research Base of Region and Country of Sichuan Province, Center for Southeast Asian Economic and Culture Studies","award":["DFWH2024-012","WHLY2024044","DNY2301"],"award-info":[{"award-number":["DFWH2024-012","WHLY2024044","DNY2301"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Symmetry"],"abstract":"<jats:p>As to the problems in current tourism recommendation, this paper proposes a tourism recommendation algorithm based on the mobile ICV service platform. Firstly, the ICV service system for the Point of Interest (POI) searching and route recommendation is designed. Secondly, the recommendation service model is set up from two aspects, namely the tourism POI clustering algorithm and the tourism POI searching and route recommendation algorithm. In the aspect of symmetrical-based matching features, the clustered POIs are matched with the tourists\u2019 interests, and the POIs in the neighborhood of the ICV dynamic locations are searched. Then, a POI recommendation algorithm based on the tourists\u2019 interests is constructed, and the POIs that best match the symmetrical interests of the tourists within the dynamic buffer zones of ICV are confirmed. Based on the recommended POIs, the ICV guidance route algorithm is constructed. The experiment verifies the advantages of the proposed algorithm on the aspect of the POI matching tourists\u2019 interests, algorithm stability, traveling time cost, traveling distance cost and computational complexity. As to the iterative sum and the iterative sum average of the POI matching function values, the proposed algorithm has a performance improvement of at least 20.2% and a stability improvement of at least 20.5% compared to the randomly selected POIs in matching tourists\u2019 interests. As to the cost of the guidance routes, the proposed algorithm reduces the average cost by 19.6% compared to the other suboptimal routes. Compared with the control group algorithms, the proposed algorithm is superior in terms of route cost, with an average cost reduction of 13.8% for the output routes compared to the control group. Also, the proposed algorithm is superior in terms of route cost compared to the control group recommendation algorithms, with an average cost reduction of 11.2%.<\/jats:p>","DOI":"10.3390\/sym16111431","type":"journal-article","created":{"date-parts":[[2024,10,28]],"date-time":"2024-10-28T04:15:02Z","timestamp":1730088902000},"page":"1431","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Tourism Recommendation Algorithm Based on the Mobile Intelligent Connected Vehicle Service Platform"],"prefix":"10.3390","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4493-2785","authenticated-orcid":false,"given":"Xiao","family":"Zhou","sequence":"first","affiliation":[{"name":"School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu 611756, China"},{"name":"Department of Military Logistic, Army Logistics Academy, Chongqing 401331, China"},{"name":"Institute of Culture and Tourism, Leshan Vocational and Technical College, Leshan 614000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rui","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Military Logistic, Army Logistics Academy, Chongqing 401331, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fei","family":"Teng","sequence":"additional","affiliation":[{"name":"School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu 611756, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Juan","family":"Pan","sequence":"additional","affiliation":[{"name":"Institute of Culture and Tourism, Leshan Vocational and Technical College, Leshan 614000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Taiping","family":"Zhao","sequence":"additional","affiliation":[{"name":"Institute of Culture and Tourism, Leshan Vocational and Technical College, Leshan 614000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2024,10,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"4955","DOI":"10.3233\/JIFS-236618","article-title":"Fuzzy decision-making in tourism and hospitality: A bibliometric review","volume":"46","author":"Qin","year":"2024","journal-title":"J. Intell. Fuzzy Syst."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"6837","DOI":"10.3233\/JIFS-232982","article-title":"Improved multi-level fuzzy integrated assessment algorithm for tourism environment carrying ability based on cloud model","volume":"45","author":"Lin","year":"2023","journal-title":"J. Intell. Fuzzy Syst."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"713","DOI":"10.3233\/JIFS-211542","article-title":"A Matrix Factorization Recommendation Model for Tourism Points of Interest Based on Interest Shift and Differential Privacy","volume":"44","author":"Xu","year":"2023","journal-title":"J. Intell. Fuzzy Syst."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Su, X.P., He, J., Ren, J., and Peng, J.Y. (2022). Personalized Chinese Tourism Recommendation Algorithm Based on Knowledge Graph. Appl. Sci., 12.","DOI":"10.3390\/app122010226"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"022027","DOI":"10.1088\/1742-6596\/1345\/2\/022027","article-title":"Tourism recommendation system based on data mining","volume":"1345","author":"Wang","year":"2019","journal-title":"J. Phys. Conf. Ser."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1679","DOI":"10.3233\/JIFS-179232","article-title":"Research on evaluating brand marketing of leisure tourism city with fuzzy information","volume":"37","author":"Sheng","year":"2019","journal-title":"J. Intell. Fuzzy Syst."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"8907","DOI":"10.3233\/JIFS-189288","article-title":"Eco-tourism benefit evaluation of Yellow River based on principal component analysis","volume":"39","author":"Wang","year":"2020","journal-title":"J. Intell. Fuzzy Syst."},{"key":"ref_8","unstructured":"Santos, F., Almeida, A., Martins, C., Oliveira, P., and Gon\u00e7alves, R. (2016, January 20\u201322). Tourism Recommendation System based in user\u2019s profile and functionality levels. Proceedings of the Ninth International Conference on Computer Science & Software Engineering, Porto, Portugal."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Chen, K.K., and Sun, T. (2019, January 12\u201314). Survey and Research of Tourists\u2019 Satisfaction in Regional Tourism Demonstration Zone Based on IPA Analysis Taking Jizhou District of Tianjin as an Example. Proceedings of the 4th International Conference on Economy, Judicature, Administration and Humanitarian Projects (JAHP 2019), Kaifeng, China.","DOI":"10.2991\/jahp-19.2019.115"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"5021","DOI":"10.3233\/JIFS-233302","article-title":"Vehicle type classification in intelligent transportation systems using deep learning","volume":"46","author":"Wang","year":"2024","journal-title":"J. Intell. Fuzzy Syst."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"397","DOI":"10.3233\/JIFS-179095","article-title":"Intelligent trajectory planning model for electric vehicle in unknown environment","volume":"37","author":"Sheng","year":"2019","journal-title":"J. Intell. Fuzzy Syst."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Wang, G.L., and Meng, Y.N. (2023). The Clustering Characteristics and Driving Mechanisms of Tourist Preference for 5A Scenic Spots from the Dynamic Spatio-Temporal Perspective: A Case of Jiangsu in Eastern Coastal Area of China. Sustainability, 15.","DOI":"10.3390\/su15021626"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1007\/s40747-019-00123-5","article-title":"Collaborative filtering recommendation algorithm based on user correlation and evolutionary clustering","volume":"6","author":"Chen","year":"2020","journal-title":"Complex Intell. Syst."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"113756","DOI":"10.1016\/j.eswa.2020.113756","article-title":"An efficient and accurate recommendation strategy using degree classification criteria for item-based collaborative filtering","volume":"164","author":"Guo","year":"2021","journal-title":"Expert Syst. Appl."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"2350102","DOI":"10.1142\/S0218126623501025","article-title":"Travelling Route Recommendation Method Based on Graph Neural Network for Improving Travel Experience","volume":"32","author":"Wang","year":"2023","journal-title":"J. Circuits Syst. Comput."},{"key":"ref_16","first-page":"22","article-title":"An intelligent recommendation method of personalised tour route based on association rules","volume":"15","author":"Jing","year":"2023","journal-title":"Int. J. Reason. Based Intell. Syst."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"1738","DOI":"10.1080\/17538947.2022.2130456","article-title":"Personalized tourist route recommendation model with a trajectory understanding via neural networks","volume":"15","author":"Mou","year":"2022","journal-title":"Int. J. Digit. Earth"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"6039","DOI":"10.3233\/JIFS-179186","article-title":"Research on intelligent tourism management based on wireless network development","volume":"37","author":"Shi","year":"2019","journal-title":"J. Intell. Fuzzy Syst."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"85","DOI":"10.3233\/IFS-151572","article-title":"Optimal management of plug-in electric vehicles in smart distribution systems","volume":"29","author":"Amiri","year":"2015","journal-title":"J. Intell. Fuzzy Syst."},{"key":"ref_20","first-page":"325","article-title":"The integration of cultural tourism based on the Internet of Things and big data analysis","volume":"23","author":"Lu","year":"2023","journal-title":"J. Comput. Methods Sci. Eng."},{"key":"ref_21","first-page":"51","article-title":"The integration of cultural tourism and rural revitalization in big data and the Internet of Things","volume":"23","author":"Li","year":"2023","journal-title":"J. Comput. Methods Sci. Eng."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Alb\u00e9rico, T.R., and Joana, C.D. (2024). Exploring the Landscape of Smart Tourism: A Systematic Bibliometric Review of the Literature of the Internet of Things. Adm. Sci., 14.","DOI":"10.3390\/admsci14020022"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"6905431","DOI":"10.1155\/2017\/6905431","article-title":"Dynamic Route Choice Prediction Model Based on Connected Vehicle Guidance Characteristics","volume":"2017","author":"Wang","year":"2017","journal-title":"J. Adv. Transp."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Lentzakis, A.F., Ware, S.I., and Su, R. (2016, January 1\u20134). Region-based dynamic forecast routing for autonomous vehicles. Proceedings of the 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC), Rio de Janeiro, Brazil.","DOI":"10.1109\/ITSC.2016.7795750"},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Kang, K., Bichiou, Y., Rakha, H.A., Elbery, A., and Yang, H. (2019, January 27\u201330). Development and Testing of a Connected Vehicle Optimal Lane Selection Algorithm. Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference (ITSC), Auckland, New Zealand.","DOI":"10.1109\/ITSC.2019.8916979"},{"key":"ref_26","first-page":"6","article-title":"Study on Bus Scheduling with Route and Fueling Time Constraints Under the Connected Vehicle Environment","volume":"16","author":"Shi","year":"2017","journal-title":"J. Nantong Univ. (Nat. Sci. Ed.)"},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Li, Q., Xu, Y., Bu, S., and Yang, J. (2022). Smart Vehicle Path Planning Based on Modified PRM Algorithm. For. Eng., 22.","DOI":"10.3390\/s22176581"},{"key":"ref_28","first-page":"89","article-title":"Research on Intelligent vehicle path planning based on improved fruit fly algorithm","volume":"41","author":"Long","year":"2022","journal-title":"Foreign Electron. Meas. Technol."},{"key":"ref_29","unstructured":"Liao, J.L. (2022). Research on Intelligent Vehicle Path Planning and Tracking Control Based on High-Precision Maps. [Master\u2019s Thesis, Xihua University]."},{"key":"ref_30","first-page":"1","article-title":"A Localization Method Based on Multi-Sensor Information Fusion for Intelligent Vehicles","volume":"11","author":"Zhao","year":"2021","journal-title":"Chin. J. Automot. Eng."},{"key":"ref_31","unstructured":"Gan, H. (2005). The Optimization Route Guidance Research of the Vehicle Location and Navigation System. [Master\u2019s Thesis, Wuhan University of Technology]."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Liu, B.J., Long, J., Deng, M., Yang, X.X., and Shi, Y. (2022). An Adaptive Route Planning Method of Connected Vehicles for Improving the Transport Efficiency. ISPRS Int. J. Geo-Inf., 11.","DOI":"10.3390\/ijgi11010039"},{"key":"ref_33","first-page":"1","article-title":"Quality of Experience-based museum touring: A human in the loop approach","volume":"7","author":"Eleni","year":"2017","journal-title":"Soc. Netw. Anal. Min."},{"key":"ref_34","first-page":"505","article-title":"Personalized route recommendation through historical travel behavior analysis","volume":"26","author":"Cui","year":"2022","journal-title":"Geoinformatica Int. J. Adv. Comput. Sci. Geogr."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"284","DOI":"10.1080\/17538947.2017.1326535","article-title":"Personalized travel route recommendation using collaborative filtering based on GPS trajectories","volume":"11","author":"Ge","year":"2018","journal-title":"Int. J. Digit. Earth"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"6619","DOI":"10.3233\/JIFS-179741","article-title":"Intelligent autonomous navigation system for UAV in randomly changing environmental conditions","volume":"38","author":"Zhilenkov","year":"2020","journal-title":"J. Intell. Fuzzy Syst."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"7849","DOI":"10.3233\/JIFS-179854","article-title":"Intelligent logistics service combination algorithm based on Internet of Things","volume":"38","author":"Liu","year":"2020","journal-title":"J. Intell. Fuzzy Syst."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Zouheir, T., Sarmad, S.S., and Kadhim, H. (2022). Multi-BSM: An Anomaly Detection and Position Falsification Attack Mitigation Approach in Connected Vehicles. Electronics, 11.","DOI":"10.3390\/electronics11203282"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"e4667","DOI":"10.1002\/ett.4667","article-title":"Recent advances in the emerging technologies for connected vehicles in smart cities","volume":"33","author":"Xu","year":"2022","journal-title":"Trans. Emerg. Telecommun. Technol."},{"key":"ref_40","first-page":"100518","article-title":"Group data communication in connected vehicles: A survey","volume":"37","author":"Bousbaa","year":"2022","journal-title":"Veh. Commun."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Yu, Z.Y., and Cai, K.X. (2022). Perceived Risks toward In-Vehicle Infotainment Data Services on Intelligent Connected Vehicles. Systems, 10.","DOI":"10.3390\/systems10050162"},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Mohamed, S.E., Alshalfan, K., AlHagery, M., and Othman, M.T.B. (2022). Safe Driving Distance and Speed for Collision Avoidance in Connected Vehicles. Sensors, 22.","DOI":"10.3390\/s22187051"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"524","DOI":"10.1080\/03081060.2022.2136177","article-title":"Operational assessment of continuous flow intersections in a connected vehicle environment","volume":"45","author":"Alzoubaidi","year":"2022","journal-title":"Transp. Plan. Technol."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"103785","DOI":"10.1016\/j.trc.2022.103785","article-title":"Lane change detection and prediction using real-world connected vehicle data","volume":"142","author":"Guo","year":"2022","journal-title":"Transp. Res. Part C Emerg. Technol."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"4349","DOI":"10.3233\/JIFS-169991","article-title":"Swarm intelligence clustering ensemble based point of interest recommendation for social cyber-physical systems","volume":"36","author":"Devarajan","year":"2019","journal-title":"J. Intell. Fuzzy Syst."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"309","DOI":"10.3233\/JIFS-212216","article-title":"A collaborative filtering recommendation algorithm based on fuzzy C-means clustering","volume":"43","author":"Zhong","year":"2022","journal-title":"J. Intell. Fuzzy Syst."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1016\/j.trf.2022.05.002","article-title":"Public acceptance of connected vehicles: An extension of the technology acceptance model","volume":"88","author":"Sailesh","year":"2022","journal-title":"Transp. Res. Part F Psychol. Behav."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"374","DOI":"10.1016\/j.future.2022.04.020","article-title":"Big data architecture for connected vehicles: Feedback and application examples from an automotive group","volume":"134","author":"Ahmed","year":"2022","journal-title":"Future Gener. Comput. Syst."},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Wang, P.W., Ye, R.S., Zhang, J., and Wang, T.R. (2022). An Eco-Driving Controller Based on Intelligent Connected Vehicles for Sustainable Transportation. Appl. Sci., 12.","DOI":"10.3390\/app12094533"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"103646","DOI":"10.1016\/j.trc.2022.103646","article-title":"Impact of connected and autonomous vehicle technology on market penetration and route choices","volume":"139","author":"Xie","year":"2022","journal-title":"Transp. Res. Part C Emerg. Technol."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"517","DOI":"10.5198\/jtlu.2020.1598","article-title":"Real-time urban regional route planning model for connected vehicles based on V2X communication","volume":"13","author":"Wang","year":"2020","journal-title":"J. Transp. Land Use"},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"548","DOI":"10.1016\/j.trf.2018.04.008","article-title":"A simulation-based approach to investigate the driver route choice behavior under the connected vehicle environment","volume":"65","author":"Dai","year":"2019","journal-title":"Transp. Res. Part F Psychol. Behav."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"108866","DOI":"10.1109\/ACCESS.2019.2933531","article-title":"An Energy-Efficient Dynamic Route Optimization Algorithm for Connected and Automated Vehicles Using Velocity-Space-Time Networks","volume":"7","author":"Liu","year":"2019","journal-title":"IEEE Access"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1016\/j.trc.2017.10.019","article-title":"Stability analysis on a dynamical model of route choice in a connected vehicle environment","volume":"94","author":"Lee","year":"2017","journal-title":"Transp. Res. Part C"},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"427","DOI":"10.3233\/JIFS-191968","article-title":"Multi-depot open vehicle routing problem with fuzzy time windows","volume":"40","author":"Diao","year":"2021","journal-title":"J. Intell. Fuzzy Syst."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"2797","DOI":"10.3233\/JIFS-202593","article-title":"The consistent vehicle routing problem under uncertain environment","volume":"41","author":"Yang","year":"2021","journal-title":"J. Intell. Fuzzy Syst."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"1427","DOI":"10.3233\/IFS-151578","article-title":"Vehicle routing problem based on a fuzzy customer clustering approach for logistics network optimization","volume":"29","author":"Wang","year":"2015","journal-title":"J. Intell. Fuzzy Syst."}],"container-title":["Symmetry"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2073-8994\/16\/11\/1431\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T16:21:51Z","timestamp":1760113311000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2073-8994\/16\/11\/1431"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,28]]},"references-count":57,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2024,11]]}},"alternative-id":["sym16111431"],"URL":"https:\/\/doi.org\/10.3390\/sym16111431","relation":{},"ISSN":["2073-8994"],"issn-type":[{"type":"electronic","value":"2073-8994"}],"subject":[],"published":{"date-parts":[[2024,10,28]]}}}