{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T10:49:22Z","timestamp":1768301362903,"version":"3.49.0"},"reference-count":35,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Sci. China Inf. Sci."],"published-print":{"date-parts":[[2026,1]]},"DOI":"10.1007\/s11432-024-4473-3","type":"journal-article","created":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T03:26:54Z","timestamp":1768274814000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Profit-aware online crowdsensing task assignment for intelligent transportation services"],"prefix":"10.1007","volume":"69","author":[{"given":"Guanglei","family":"Zhu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yafei","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiawen","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ke","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lei","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mingliang","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,1,4]]},"reference":[{"key":"4473_CR1","doi-asserted-by":"publisher","first-page":"14389","DOI":"10.1109\/TITS.2024.3394748","volume":"25","author":"S Guo","year":"2024","unstructured":"Guo S, Qian X. Optimal drive-by sensing in urban road networks with large-scale ridesourcing vehicles. IEEE Trans Intell Transp Syst, 2024, 25: 14389\u201314400","journal-title":"IEEE Trans Intell Transp Syst"},{"key":"4473_CR2","doi-asserted-by":"publisher","first-page":"10735","DOI":"10.1109\/TITS.2023.3276162","volume":"24","author":"Y Fu","year":"2023","unstructured":"Fu Y, Qin X, Zhang X, et al. Hybrid recruitment scheme based on deep learning in vehicular crowdsensing. IEEE Trans Intell Transp Syst, 2023, 24: 10735\u201310748","journal-title":"IEEE Trans Intell Transp Syst"},{"key":"4473_CR3","first-page":"13","volume-title":"Proceedings of the IEEE International Conference on Data Engineering, Dallas","author":"Y Zhao","year":"2020","unstructured":"Zhao Y, Zheng K, Cui Y, et al. Predictive task assignment in spatial crowdsourcing: a data-driven approach. In: Proceedings of the IEEE International Conference on Data Engineering, Dallas, 2020. 13\u201324"},{"key":"4473_CR4","doi-asserted-by":"publisher","first-page":"083101","DOI":"10.1007\/s11432-016-5597-6","volume":"59","author":"H H Chen","year":"2016","unstructured":"Chen H H, Guo B, Yu Z W, et al. Mobile crowd photographing: another way to watch our world. Sci China Inf Sci, 2016, 59: 083101","journal-title":"Sci China Inf Sci"},{"key":"4473_CR5","doi-asserted-by":"publisher","first-page":"180","DOI":"10.1109\/TMC.2022.3219881","volume":"23","author":"Y Li","year":"2024","unstructured":"Li Y, Li Y, Peng Y, et al. Auction-based crowdsourced first and last mile logistics. IEEE Trans Mobile Comput, 2024, 23: 180\u2013193","journal-title":"IEEE Trans Mobile Comput"},{"key":"4473_CR6","doi-asserted-by":"publisher","first-page":"3203","DOI":"10.1109\/TKDE.2016.2604806","volume":"28","author":"S Zhang","year":"2016","unstructured":"Zhang S, Qin L, Zheng Y, et al. Effective and efficient: large-scale dynamic city express. IEEE Trans Knowl Data Eng, 2016, 28: 3203\u20133217","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"4473_CR7","doi-asserted-by":"publisher","first-page":"182101","DOI":"10.1007\/s11432-019-3017-9","volume":"65","author":"Y P Zhou","year":"2022","unstructured":"Zhou Y P, Fan M J, Ma F F, et al. Solving multi-objective constrained minimum weighted bipartite assignment problem: a case study on energy-aware radio broadcast scheduling. Sci China Inf Sci, 2022, 65: 182101","journal-title":"Sci China Inf Sci"},{"key":"4473_CR8","doi-asserted-by":"publisher","first-page":"212202","DOI":"10.1007\/s11432-022-3714-4","volume":"66","author":"X Shi","year":"2023","unstructured":"Shi X, Deng F, Lu S, et al. A bi-level optimization approach for joint rack sequencing and storage assignment in robotic mobile fulfillment systems. Sci China Inf Sci, 2023, 66: 212202","journal-title":"Sci China Inf Sci"},{"key":"4473_CR9","first-page":"5767","volume":"35","author":"Y Li","year":"2022","unstructured":"Li Y, Wu Q, Huang X, et al. Efficient adaptive matching for real-time city express delivery. IEEE Trans Knowl Data Eng, 2022, 35: 5767\u20135779","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"4473_CR10","first-page":"8386","volume":"35","author":"Y Zhao","year":"2022","unstructured":"Zhao Y, Zheng K, Li Y, et al. Profit optimization in spatial crowdsourcing: effectiveness and efficiency. IEEE Trans Knowl Data Eng, 2022, 35: 8386\u20138401","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"4473_CR11","first-page":"1251","volume":"33","author":"Y Li","year":"2019","unstructured":"Li Y, Wan J, Chen R, et al. Top-k vehicle matching in social ridesharing: a price-aware approach. IEEE Trans Knowl Data Eng, 2019, 33: 1251\u20131263","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"4473_CR12","first-page":"961","volume-title":"Proceedings of the IEEE International Conference on Data Engineering, Dallas","author":"Z D Liu","year":"2020","unstructured":"Liu Z D, Gong Z Y, Li J Z, et al. mT-Share: a mobility-aware dynamic taxi ridesharing. In: Proceedings of the IEEE International Conference on Data Engineering, Dallas, 2020. 961\u2013972"},{"key":"4473_CR13","first-page":"3977","volume-title":"Proceedings of the Association for the Advancement of Artificial Intelligence","author":"Y Hikima","year":"2023","unstructured":"Hikima Y, Akagi Y, Kim H, et al. An improved approximation algorithm for wage determination and online task allocation in crowd-sourcing. In: Proceedings of the Association for the Advancement of Artificial Intelligence, 2023. 3977\u20133986"},{"key":"4473_CR14","doi-asserted-by":"publisher","first-page":"1066","DOI":"10.1109\/TMC.2022.3232215","volume":"23","author":"Y Li","year":"2024","unstructured":"Li Y, Li H, Huang X, et al. Utility-aware dynamic ridesharing in spatial crowdsourcing. IEEE Trans Mobile Comput, 2024, 23: 1066\u20131079","journal-title":"IEEE Trans Mobile Comput"},{"key":"4473_CR15","first-page":"773","volume-title":"Proceedings of the Special Interest Group on Management of Data, Houston","author":"Y X Tong","year":"2018","unstructured":"Tong Y X, Wang L B, Zhou Z M, et al. Dynamic pricing in spatial crowdsourcing: a matching-based approach. In: Proceedings of the Special Interest Group on Management of Data, Houston, 2018. 773\u2013788"},{"key":"4473_CR16","doi-asserted-by":"publisher","first-page":"13048","DOI":"10.1109\/TMC.2024.3423396","volume":"23","author":"Q Wu","year":"2024","unstructured":"Wu Q, Li Y, Zhu G, et al. Prediction-aware adaptive task assignment for spatial crowdsourcing. IEEE Trans Mobile Comput, 2024, 23: 13048\u201313061","journal-title":"IEEE Trans Mobile Comput"},{"key":"4473_CR17","doi-asserted-by":"publisher","first-page":"3848","DOI":"10.1109\/TITS.2019.2935152","volume":"21","author":"L Zhao","year":"2020","unstructured":"Zhao L, Song Y, Zhang C, et al. T-GCN: a temporal graph convolutional network for traffic prediction. IEEE Trans Intell Transp Syst, 2020, 21: 3848\u20133858","journal-title":"IEEE Trans Intell Transp Syst"},{"key":"4473_CR18","first-page":"1234","volume-title":"Proceedings of the Association for the Advancement of Artificial Intelligence, New York","author":"C P Zheng","year":"2020","unstructured":"Zheng C P, Fan X L, Wang C, et al. GMAN: a graph multi-attention network for traffic prediction. In: Proceedings of the Association for the Advancement of Artificial Intelligence, New York, 2020. 1234\u20131241"},{"key":"4473_CR19","first-page":"1544","volume":"34","author":"D A Tedjopurnomo","year":"2022","unstructured":"Tedjopurnomo D A, Bao Z, Zheng B, et al. A survey on modern deep neural network for traffic prediction: trends, methods and challenges. IEEE Trans Knowl Data Eng, 2022, 34: 1544\u20131561","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"4473_CR20","first-page":"2034","volume":"35","author":"B Zheng","year":"2023","unstructured":"Zheng B, Hu Q, Ming L, et al. SOUP: spatial-temporal demand forecasting and competitive supply. IEEE Trans Knowl Data Eng, 2023, 35: 2034\u20132047","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"4473_CR21","doi-asserted-by":"publisher","first-page":"2643","DOI":"10.1109\/TKDE.2023.3322405","volume":"36","author":"Y Liu","year":"2024","unstructured":"Liu Y, Guo B, Meng J, et al. Spatio-temporal memory augmented multi-level attention network for traffic prediction. IEEE Trans Knowl Data Eng, 2024, 36: 2643\u20132658","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"4473_CR22","first-page":"49","volume-title":"Proceedings of the IEEE International Conference on Data Engineering, Helsinki","author":"Y X Tong","year":"2016","unstructured":"Tong Y X, She J Y, Ding B L, et al. Online mobile micro-task allocation in spatial crowdsourcing. In: Proceedings of the IEEE International Conference on Data Engineering, Helsinki, 2016. 49\u201360"},{"key":"4473_CR23","first-page":"2295","volume":"33","author":"Y Tong","year":"2021","unstructured":"Tong Y, Zeng Y, Ding B, et al. Two-sided online micro-task assignment in spatial crowdsourcing. IEEE Trans Knowl Data Eng, 2021, 33: 2295\u20132309","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"4473_CR24","doi-asserted-by":"publisher","first-page":"222302","DOI":"10.1007\/s11432-022-3769-9","volume":"66","author":"C Z Zhang","year":"2023","unstructured":"Zhang C Z, Guo J, Yang C Y. When the gain of predictive resource allocation for content delivery is large? Sci China Inf Sci, 2023, 66: 222302","journal-title":"Sci China Inf Sci"},{"key":"4473_CR25","first-page":"1420","volume-title":"Proceedings of the IEEE International Conference on Data Engineering, Anaheim","author":"T Y Ren","year":"2023","unstructured":"Ren T Y, Zhou X, L K L, et al. Efficient cross dynamic task assignment in spatial crowdsourcing. In: Proceedings of the IEEE International Conference on Data Engineering, Anaheim, 2023. 1420\u20131432"},{"key":"4473_CR26","doi-asserted-by":"publisher","first-page":"7933","DOI":"10.1109\/TITS.2024.3351687","volume":"25","author":"M Zhang","year":"2024","unstructured":"Zhang M, Zeng Y, Wang K, et al. Learned unmanned vehicle scheduling for large-scale urban logistics. IEEE Trans Intell Transp Syst, 2024, 25: 7933\u20137944","journal-title":"IEEE Trans Intell Transp Syst"},{"key":"4473_CR27","doi-asserted-by":"publisher","first-page":"909","DOI":"10.1109\/TMC.2022.3228259","volume":"23","author":"S Bai","year":"2024","unstructured":"Bai S, Tong S, Feng X, et al. Toward dynamic pricing for city-wide crowdsourced instant delivery services. IEEE Trans Mobile Comput, 2024, 23: 909\u2013924","journal-title":"IEEE Trans Mobile Comput"},{"key":"4473_CR28","doi-asserted-by":"publisher","first-page":"5385","DOI":"10.1109\/TMC.2023.3310591","volume":"23","author":"Y Li","year":"2024","unstructured":"Li Y, Li H, Mei B, et al. Fairness-guaranteed task assignment for crowdsourced mobility services. IEEE Trans Mobile Comput, 2024, 23: 5385\u20135400","journal-title":"IEEE Trans Mobile Comput"},{"key":"4473_CR29","first-page":"1","volume-title":"Proceedings of the International Conference on Machine Learning, Sydney","author":"P Veli\u010dkovi\u0107","year":"2017","unstructured":"Veli\u010dkovi\u0107 P, Cucurull G, Casanova A, et al. Graph attention networks. In: Proceedings of the International Conference on Machine Learning, Sydney, 2017. 1\u201312"},{"key":"4473_CR30","first-page":"499","volume-title":"Proceedings of the International World Wide Web Conference, Lyon","author":"C Y Zhuang","year":"2018","unstructured":"Zhuang C Y, Ma Q. Dual graph convolutional networks for graph-based semi-supervised classification. In: Proceedings of the International World Wide Web Conference, Lyon, 2018. 499\u2013508"},{"key":"4473_CR31","first-page":"9142","volume-title":"Proceedings of the Association for the Advancement of Artificial Intelligence, Vancouver","author":"Y Wang","year":"2024","unstructured":"Wang Y, Zhu R H, Ji P S, et al. Open-set graph domain adaptation via separate domain alignment. In: Proceedings of the Association for the Advancement of Artificial Intelligence, Vancouver, 2024. 9142\u20139150"},{"key":"4473_CR32","first-page":"1180","volume-title":"Proceedings of the IEEE International Conference on Data Engineering, Anaheim","author":"Y Yang","year":"2023","unstructured":"Yang Y, Cheng Y R, Yang Y R, et al. Batch-based cooperative task assignment in spatial crowdsourcing. In: Proceedings of the IEEE International Conference on Data Engineering, Anaheim, 2023. 1180\u20131192"},{"key":"4473_CR33","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1002\/nav.3800020109","volume":"2","author":"H W Kuhn","year":"1955","unstructured":"Kuhn H W. The Hungarian method for the assignment problem. Naval Res Logist, 1955, 2: 83\u201397","journal-title":"Naval Res Logist"},{"key":"4473_CR34","doi-asserted-by":"publisher","first-page":"2280","DOI":"10.1109\/TKDE.2020.3006084","volume":"34","author":"J Ke","year":"2022","unstructured":"Ke J, Xiao F, Yang H, et al. Learning to delay in ride-sourcing systems: a multi-agent deep reinforcement learning framework. IEEE Trans Knowl Data Eng, 2022, 34: 2280\u20132292","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"4473_CR35","doi-asserted-by":"publisher","first-page":"529","DOI":"10.1038\/nature14236","volume":"518","author":"V Mnih","year":"2015","unstructured":"Mnih V, Kavukcuoglu K, Silver D, et al. Human-level control through deep reinforcement learning. Nature, 2015, 518: 529\u2013533","journal-title":"Nature"}],"container-title":["Science China Information Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11432-024-4473-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11432-024-4473-3","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11432-024-4473-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T03:27:04Z","timestamp":1768274824000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11432-024-4473-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1]]},"references-count":35,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2026,1]]}},"alternative-id":["4473"],"URL":"https:\/\/doi.org\/10.1007\/s11432-024-4473-3","relation":{},"ISSN":["1674-733X","1869-1919"],"issn-type":[{"value":"1674-733X","type":"print"},{"value":"1869-1919","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,1]]},"assertion":[{"value":"1 October 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 February 2025","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 June 2025","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 January 2026","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}],"article-number":"112106"}}