{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T14:22:55Z","timestamp":1766067775852,"version":"build-2065373602"},"reference-count":45,"publisher":"MDPI AG","issue":"13","license":[{"start":{"date-parts":[[2023,6,21]],"date-time":"2023-06-21T00:00:00Z","timestamp":1687305600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52071312","2020B0909050001","20220115"],"award-info":[{"award-number":["52071312","2020B0909050001","20220115"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Guangdong S&amp;T project","award":["52071312","2020B0909050001","20220115"],"award-info":[{"award-number":["52071312","2020B0909050001","20220115"]}]},{"name":"The State Key Laboratory for Management and Control of Complex Systems (","award":["52071312","2020B0909050001","20220115"],"award-info":[{"award-number":["52071312","2020B0909050001","20220115"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The transportation control infrastructure serves as the foundation for regional traffic signal control. However, in practice, this infrastructure is often imperfect and complex, characterized by factors such as heterogeneity and uncertainty, which pose significant challenges to existing methods and systems. Therefore, this paper proposes a novel approach to coordinated traffic signal control that emphasizes flexibility. To achieve this flexibility, we combine the flexible model of complex networks with robust fuzzy control methods. This approach enables us to overcome the complexity of the transportation control infrastructure and ensure efficient management of traffic signals. Additionally, to ensure long-term operational ease, we develop a regional traffic signal control system using steam computing technology, which provides high scalability and compatibility. Finally, computational experiments are performed to validate adaptability and performance of our proposed approach.<\/jats:p>","DOI":"10.3390\/s23135796","type":"journal-article","created":{"date-parts":[[2023,6,22]],"date-time":"2023-06-22T02:09:17Z","timestamp":1687399757000},"page":"5796","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["A Flexible Traffic Signal Coordinated Control Approach and System on Complicated Transportation Control Infrastructure"],"prefix":"10.3390","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4906-9688","authenticated-orcid":false,"given":"Songhang","family":"Chen","sequence":"first","affiliation":[{"name":"Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou 350002, China"}]},{"given":"Chunlin","family":"Shang","sequence":"additional","affiliation":[{"name":"The State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2886-6968","authenticated-orcid":false,"given":"Fenghua","family":"Zhu","sequence":"additional","affiliation":[{"name":"The State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,6,21]]},"reference":[{"key":"ref_1","first-page":"42","article-title":"Review of Urban Traffic Signal Control","volume":"16","author":"Tian","year":"2016","journal-title":"Road Traffic Saf."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Chu, T., Qu, S., and Wang, J. 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