{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,24]],"date-time":"2026-02-24T18:14:36Z","timestamp":1771956876025,"version":"3.50.1"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643683683","type":"print"},{"value":"9781643683690","type":"electronic"}],"license":[{"start":{"date-parts":[[2022,12,13]],"date-time":"2022-12-13T00:00:00Z","timestamp":1670889600000},"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":[[2022,12,13]]},"abstract":"<jats:p>Different from traditional service areas, intelligent service areas can better adapt to the construction of expressway networks and meet the high-level needs of the current society for service areas. Based on big data analysis and machine vision technology, a new intelligent service area management system for the expressway has built in this paper, which covers staff management, intelligent washroom, vehicle flow and passenger flow analysis and statistics, intelligent parking guidance, and senseless refueling payment, and other functions, which can promote the synchronous improvement of service area supervision and management and service quality.<\/jats:p>","DOI":"10.3233\/faia220587","type":"book-chapter","created":{"date-parts":[[2022,12,21]],"date-time":"2022-12-21T08:04:13Z","timestamp":1671609853000},"source":"Crossref","is-referenced-by-count":1,"title":["Integrated Management System of Expressway Intelligent Service Area"],"prefix":"10.3233","author":[{"given":"Jianxian","family":"Duan","sequence":"first","affiliation":[{"name":"Shaanxi Transportation Holding Services Management Group Co., Ltd, Xi\u2019an 71075, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanyan","family":"Li","sequence":"additional","affiliation":[{"name":"Shaanxi Expressway Testing &Measuring Co., Ltd, Xi\u2019an 71086, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qingqing","family":"Yu","sequence":"additional","affiliation":[{"name":"Shaanxi GSXZ Technology Co., Ltd, Xi\u2019an 71086, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anqi","family":"Li","sequence":"additional","affiliation":[{"name":"Shaanxi GSXZ Technology Co., Ltd, Xi\u2019an 71086, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yongjun","family":"Shao","sequence":"additional","affiliation":[{"name":"Shaanxi Expressway Testing &Measuring Co., Ltd, Xi\u2019an 71086, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Proceedings of CECNet 2022"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA220587","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,21]],"date-time":"2022-12-21T08:04:14Z","timestamp":1671609854000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA220587"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,13]]},"ISBN":["9781643683683","9781643683690"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia220587","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,12,13]]}}}