{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,8,14]],"date-time":"2022-08-14T23:41:42Z","timestamp":1660520502282},"reference-count":0,"publisher":"IOS Press","license":[{"start":{"date-parts":[[2022,8,10]],"date-time":"2022-08-10T00:00:00Z","timestamp":1660089600000},"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":[[2022,8,10]]},"abstract":"<jats:p>The increasing number of urban motor vehicle travel has brought more and more serious urban road traffic congestion in single region predicament. In order to study the traffic control problem of single-region urban network, a macroscopic model of traffic flow in urban region was constructed based on the macroscopic basic graph (MFD) theory to predict the traffic congestion pattern in urban region. In order to better explore the dynamic boundary control points, the queuing overflow of boundary sections was analyzed, and the regional boundary control strategy of real-time flow and queuing dynamics was given according to the real-time boundary morphology. In the case of improving and adjusting the signal timing of the input traffic flow at the boundary intersection, the regional traffic flow can be developed in a favorable direction, thus reducing the probability of overflow problems in the boundary section of the region, and contributing to the improvement of the overall operation efficiency of the region.<\/jats:p>","DOI":"10.3233\/faia220116","type":"book-chapter","created":{"date-parts":[[2022,8,14]],"date-time":"2022-08-14T23:22:02Z","timestamp":1660519322000},"source":"Crossref","is-referenced-by-count":0,"title":["Collaborative Control of Multi-Region Urban Traffic Boundary Based on the MFD"],"prefix":"10.3233","author":[{"given":"Yonghong","family":"Xu","sequence":"first","affiliation":[{"name":"Gansu Police Vocational College, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Modern Management based on Big Data III"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA220116","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,14]],"date-time":"2022-08-14T23:22:03Z","timestamp":1660519323000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA220116"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,10]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia220116","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,8,10]]}}}