{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,1,13]],"date-time":"2024-01-13T00:37:53Z","timestamp":1705106273385},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643684802","type":"print"},{"value":"9781643684819","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T00:00:00Z","timestamp":1705017600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,1,12]]},"abstract":"<jats:p>With the rapid development of economy and technology and the continuous growth of population, urbanization is accelerating and the social situation is becoming more and more complicated. Especially in densely populated urban areas, the pressure of law and order rises significantly. In this context, public security patrol defense has become an important link in the maintenance of public security, and it is crucial to improve its effectiveness. In order to protect people\u2019s lives and properties, this study integrates public security patrol with multidimensional path planning to optimize the patrol work. The current situation and challenges of the integration are analyzed, and algorithms such as FP-Growth, Mountaineering, Apriori, Artificial Potential Field, and Optimized Ant Colony are applied to realize multi-dimensional intelligent patrol paths in simulation. Prospects for the integration of the two are comprehensively explored to provide new ideas and guidance for the development of public security patrol, and to contribute wisdom and strength to the construction of a safer and more stable society.<\/jats:p>","DOI":"10.3233\/faia231226","type":"book-chapter","created":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T12:56:25Z","timestamp":1705064185000},"source":"Crossref","is-referenced-by-count":0,"title":["Multi-Dimensional Based Intelligent Patrol Path Planning Design"],"prefix":"10.3233","author":[{"given":"Deming","family":"Guo","sequence":"first","affiliation":[{"name":"School of information technology, Nanjing Police University, Nanjing 210023, China"}]},{"given":"Yi","family":"Liang","sequence":"additional","affiliation":[{"name":"School of information technology, Nanjing Police University, Nanjing 210023, China"}]},{"given":"Mingyue","family":"Qiu","sequence":"additional","affiliation":[{"name":"School of information technology, Nanjing Police University, Nanjing 210023, China"}]},{"given":"Dianwei","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of information technology, Nanjing Police University, Nanjing 210023, China"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Electronics, Communications and Networks"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA231226","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T12:56:26Z","timestamp":1705064186000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA231226"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,12]]},"ISBN":["9781643684802","9781643684819"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia231226","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,1,12]]}}}