{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,2]],"date-time":"2026-02-02T15:40:20Z","timestamp":1770046820595,"version":"3.49.0"},"reference-count":32,"publisher":"SAGE Publications","issue":"4","license":[{"start":{"date-parts":[[2021,5,14]],"date-time":"2021-05-14T00:00:00Z","timestamp":1620950400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"published-print":{"date-parts":[[2021,11,4]]},"abstract":"<jats:p>Nowadays, parking spaces are scarce resources in urban cities. Travelers often spend too much time looking for available parking spaces, which increases travel time of travelers and results in additional traffic congestion. With the innovation and application of intelligent parking technology, parking spaces can be booked in the system in advance through mobile phone, which will greatly reduce the time for drivers to cruise and search for parking spaces. Targeted at the serious waste of parking resources, traffic congestion caused by too intensive parking demand in time and space, a parking allocation model considering the ability of dynamic and static traffic conversion is established with the goal of minimizing the total travel time of the travelers. Based on the dynamic traffic distribution model, considering the constraints of capacity of the road link, parking lot entrance and the number of the parking spaces in parking lot, the dynamic and static traffic is combined by considering the parking lot connection section as a conversion link to be added into the traffic network. And the solution method based on particle swarm optimization is proposed. Experimental results on a case (Beijing Chaoyang Joy City and surrounding parking lots) show that our parking allocation model works satisfactorily by effectively reducing the travel time of travelers and increasing customer arrivals in shopping centers. From the point of view of traffic managers, the model can make the parking occupancy of all parking lots more balanced, which indicates that the model can help to better coordinate the available parking resources. In summary, the model proposed in this paper can not only divert the flow beyond the capacity of the road facilities at the connection of the parking lot, but also balance the utilization rate of the surrounding parking resources and reduce the dynamic traffic pressure, it is a proper way to develop the sustainable transportation.<\/jats:p>","DOI":"10.3233\/jifs-219006","type":"journal-article","created":{"date-parts":[[2021,5,18]],"date-time":"2021-05-18T13:43:14Z","timestamp":1621345394000},"page":"5207-5217","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":4,"title":["Parking lot allocation model considering conversion between dynamic and static traffic"],"prefix":"10.1177","volume":"41","author":[{"given":"Zhouhu","family":"Xie","sequence":"first","affiliation":[{"name":"Ningbo Urban Planning &amp; Design Institute, Ningbo, China"}]},{"given":"Xianyu","family":"Wu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing, China"}]},{"given":"Jingxue","family":"Guo","sequence":"additional","affiliation":[{"name":"Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing, China"}]},{"given":"Zhenxi","family":"Zhan","sequence":"additional","affiliation":[{"name":"Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing, China"}]}],"member":"179","published-online":{"date-parts":[[2021,5,14]]},"reference":[{"issue":"03","key":"e_1_3_2_2_2","first-page":"78","article-title":"Urban Road and Parking Assignment Model and Its Algorithm with Capacity Constrain [J]","volume":"9","author":"Si B.F.","year":"2009","unstructured":"SiB.F., ZhangH.Z., SunH.J. and GaoZ.Y., Urban Road and Parking Assignment Model and Its Algorithm with Capacity Constrain [J], Journal of Transportation Systems Engineering and Information Technology9(03) (2009), 78\u201385.","journal-title":"Journal of Transportation Systems Engineering and Information Technology"},{"issue":"09","key":"e_1_3_2_3_2","first-page":"58","article-title":"Design of parking control traffic demand congestion management model under environmental capacity constraints [J]","volume":"2014","author":"Liu B.Q.","unstructured":"LiuB.Q. and HuangC.C., Design of parking control traffic demand congestion management model under environmental capacity constraints [J], Statistics and Decision Making2014(09), 58\u201361.","journal-title":"Statistics and Decision Making"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.trb.2015.05.015"},{"issue":"3","key":"e_1_3_2_5_2","first-page":"19","article-title":"Parking Space Allocation and Pricing Based on Stackelberg Game [J]","volume":"15","author":"Zhu C.J.","year":"2015","unstructured":"ZhuC.J., JiaB. and HanL.H., Parking Space Allocation and Pricing Based on Stackelberg Game [J], Journal of Transportation Systems Engineering and Information Technology15(3) (2015), 19\u201324.","journal-title":"Journal of Transportation Systems Engineering and Information Technology"},{"key":"e_1_3_2_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2005.02.033"},{"key":"e_1_3_2_7_2","doi-asserted-by":"crossref","unstructured":"BonabeauE. 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