{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,12,22]],"date-time":"2022-12-22T06:03:41Z","timestamp":1671689021228},"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>Expressway is known as a bridge for a country to modernize and is the only way to develop the modern transportation industry. Traditional expressway service area is difficult to meet the needs of current users, thus in order to improve the service level of the service area and meet the current high-level demand of the society for the service area, a set of highway intelligent service area integrated management system based on cloud computing and big data technology is proposed in this paper, which can fully and reasonably schedule resources, facilitate the use of user, and improve the user\u2019s experience of the service area.<\/jats:p>","DOI":"10.3233\/faia220588","type":"book-chapter","created":{"date-parts":[[2022,12,21]],"date-time":"2022-12-21T08:04:17Z","timestamp":1671609857000},"source":"Crossref","is-referenced-by-count":0,"title":["Analysis of Expressway Intelligent Service Area for Better Vehicles\/Passengers Service"],"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":"Yongjun","family":"Shao","sequence":"additional","affiliation":[{"name":"Shaanxi Expressway Testing &Measuring 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"}]}],"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\/FAIA220588","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,21]],"date-time":"2022-12-21T08:04:18Z","timestamp":1671609858000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA220588"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,13]]},"ISBN":["9781643683683","9781643683690"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia220588","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]]}}}