{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:29:50Z","timestamp":1750220990091,"version":"3.41.0"},"reference-count":44,"publisher":"Association for Computing Machinery (ACM)","issue":"2","license":[{"start":{"date-parts":[[2019,2,20]],"date-time":"2019-02-20T00:00:00Z","timestamp":1550620800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"China 973 Program","award":["2015CB352400"],"award-info":[{"award-number":["2015CB352400"]}]},{"name":"Research Program Grants of Shenzhen"},{"DOI":"10.13039\/100000001","name":"US NSF","doi-asserted-by":"crossref","award":["CNS-1446640 and CNS-1544887"],"award-info":[{"award-number":["CNS-1446640 and CNS-1544887"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Cyber-Phys. Syst."],"published-print":{"date-parts":[[2019,4,30]]},"abstract":"<jats:p>\n            Real-time traffic modeling at national scale is essential to many applications, but its calibration is extremely challenging due to its large spatial and fine temporal coverage. The existing work is focused on urban-scale calibration with complete field data from\n            <jats:italic>single data sources<\/jats:italic>\n            (e.g., loop sensors or taxis), which cannot be generalized to national scale because complete single-source field data at national scale are almost impossible to obtain. To address this challenge, in this article, we design MultiCalib, a model calibration framework to optimize traffic models based on\n            <jats:italic>multiple incomplete data sources<\/jats:italic>\n            at national scale in real time. Instead of simply combining multi-source data, we theoretically formulate a multi-source model calibration problem based on real-world contexts and multi-view learning. In particular, we design (i) convex multi-view learning to integrate multi-source data by quantifying biases of data sources, and (ii) context-aware tensor decomposition to infer incomplete multi-source data by extracting real-world contexts. More importantly, we implement and evaluate MultiCalib with two heterogeneous nationwide vehicle networks with 340,000 vehicles to infer traffic conditions on 36 expressways and 119 highways, along with four cities across China. The results show that MultiCalib outperforms baseline calibration by 25% on average with the same input data. Based on the proposed national-scale traffic model calibration, we design a novel dispatching framework integrated with our speed calibration model where we guide a vehicular fleet among national-scale highways with a routing strategy to reduce general traveling time. The results show that a routing strategy based on MultiCalib outperforms a routing strategy based on a state-of-the-art traffic model by 45% on average.\n          <\/jats:p>","DOI":"10.1145\/3300186","type":"journal-article","created":{"date-parts":[[2019,2,22]],"date-time":"2019-02-22T17:01:44Z","timestamp":1550854904000},"page":"1-26","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["National-scale Traffic Model Calibration in Real Time with Multi-source Incomplete Data"],"prefix":"10.1145","volume":"3","author":[{"given":"Desheng","family":"Zhang","sequence":"first","affiliation":[{"name":"Rutgers University"}]},{"given":"Tian","family":"He","sequence":"additional","affiliation":[{"name":"University of Minnesota"}]},{"given":"Fan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Shenzhen Institutes of Advanced Technology, Shenzhen, China"}]}],"member":"320","published-online":{"date-parts":[[2019,2,20]]},"reference":[{"key":"e_1_2_1_1_1","unstructured":"Open street map. 2016. Retrieved from http:\/\/www.openstreetmap.org\/.  Open street map. 2016. Retrieved from http:\/\/www.openstreetmap.org\/."},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2007.908569"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/2426656.2426671"},{"key":"e_1_2_1_4_1","unstructured":"Ramachandran Balakrishna Constantinos Antoniou Haris N. Koutsopoulos Yang Wen and Moshe Ben-Akiva. 2011. Dynamic traffic assignment. In Transportation Research E-Circular (2011-6).  Ramachandran Balakrishna Constantinos Antoniou Haris N. Koutsopoulos Yang Wen and Moshe Ben-Akiva. 2011. Dynamic traffic assignment. In Transportation Research E-Circular (2011-6)."},{"key":"e_1_2_1_5_1","volume-title":"Khoa Xuan Nguyen, and Lingxiao Jiang","author":"Balan Rajesh Krishna","year":"2011","unstructured":"Rajesh Krishna Balan , Khoa Xuan Nguyen, and Lingxiao Jiang . 2011 . Real-time trip information service for a large taxi fleet. In MobiSys\u2019 11. Rajesh Krishna Balan, Khoa Xuan Nguyen, and Lingxiao Jiang. 2011. Real-time trip information service for a large taxi fleet. In MobiSys\u201911."},{"key":"e_1_2_1_6_1","doi-asserted-by":"crossref","unstructured":"M. Ben-Akiva M. Bierlaire H. N. Koutsopoulos and R. Mishalani. 2012. Real-time simulation of traffic demand-supply interactions within DynaMIT. Transportation and Network Analysis: Current Trends. Springer 19--36.  M. Ben-Akiva M. Bierlaire H. N. Koutsopoulos and R. Mishalani. 2012. Real-time simulation of traffic demand-supply interactions within DynaMIT. Transportation and Network Analysis: Current Trends. Springer 19--36.","DOI":"10.1007\/978-1-4757-6871-8_2"},{"volume-title":"Non-linear programming","author":"Bertsekas Dimitri P.","key":"e_1_2_1_7_1","unstructured":"Dimitri P. Bertsekas . 1999. Non-linear programming . In Athena Scientific. Athena Scientific . https:\/\/books.google.com\/books?id&equals;TwOujgEACAAJ. Dimitri P. Bertsekas. 1999. Non-linear programming. In Athena Scientific. Athena Scientific. https:\/\/books.google.com\/books?id&equals;TwOujgEACAAJ."},{"key":"e_1_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/2494091.2497349"},{"key":"e_1_2_1_9_1","unstructured":"Yichang Chiu Jon Bottom Michael Mahut Alex Paz Ramachandran Balakrishna Travis Waller and Jim Hicks. 2011. Dynamic traffic assignment. In Transportation Research CIRCULAR E-C153. Retrieved from http:\/\/onlinepubs.trb.org\/onlinepubs\/circulars\/ec153.pdf.  Yichang Chiu Jon Bottom Michael Mahut Alex Paz Ramachandran Balakrishna Travis Waller and Jim Hicks. 2011. Dynamic traffic assignment. In Transportation Research CIRCULAR E-C153. Retrieved from http:\/\/onlinepubs.trb.org\/onlinepubs\/circulars\/ec153.pdf."},{"key":"e_1_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2014.2302674"},{"key":"e_1_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3264916"},{"key":"e_1_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/1835804.1835918"},{"key":"e_1_2_1_13_1","unstructured":"Carlo GiacomoPrato. 2009. Route choice modeling: Past present and future research directions. J. Choice Modelling.  Carlo GiacomoPrato. 2009. Route choice modeling: Past present and future research directions. J. Choice Modelling."},{"key":"e_1_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/2424321.2424340"},{"key":"e_1_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0377-2217(02)00147-9"},{"key":"e_1_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/1864708.1864727"},{"key":"e_1_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1137\/07070111X"},{"key":"e_1_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/2030112.2030152"},{"key":"e_1_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCPS.2014.6843714"},{"key":"e_1_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCPS.2012.25"},{"key":"e_1_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2007.912151"},{"key":"e_1_2_1_22_1","unstructured":"Mohammad Ashiqur Rahman Qi Duan and Ehab Al-Shaer. 2013. Energy efficient navigation management for hybrid electric vehicles on highways. In ICCPS\u201913.  Mohammad Ashiqur Rahman Qi Duan and Ehab Al-Shaer. 2013. Energy efficient navigation management for hybrid electric vehicles on highways. In ICCPS\u201913."},{"key":"e_1_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/2536714.2536715"},{"key":"e_1_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623653"},{"key":"e_1_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/2800835.2801624"},{"key":"e_1_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.14778\/1687553.1687589"},{"key":"e_1_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/MDM.2012.55"},{"key":"e_1_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3191777"},{"key":"e_1_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3191780"},{"key":"e_1_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/2020408.2020462"},{"key":"e_1_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/2030112.2030128"},{"key":"e_1_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/RTSS.2012.61"},{"key":"e_1_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2016.2627224"},{"volume-title":"Proceedings of the IEEE International Conference on Big Data. IEEE, 439--447","author":"Zhang Desheng","key":"e_1_2_1_34_1","unstructured":"Desheng Zhang , Tian He , Yunhuai Liu , and John A. Stankovic . 2013a. A unified recommendation system for carpooling and regular taxicab services . In Proceedings of the IEEE International Conference on Big Data. IEEE, 439--447 . Desheng Zhang, Tian He, Yunhuai Liu, and John A. Stankovic. 2013a. A unified recommendation system for carpooling and regular taxicab services. In Proceedings of the IEEE International Conference on Big Data. IEEE, 439--447."},{"key":"e_1_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/2639108.2639116"},{"key":"e_1_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/2030112.2030127"},{"key":"e_1_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/2517351.2517361"},{"key":"e_1_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/2996913.2996918"},{"key":"e_1_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/2897517"},{"key":"e_1_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/2820783.2820821"},{"key":"e_1_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/2735960.2735985"},{"key":"e_1_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/1658373.1658374"},{"key":"e_1_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/1367497.1367532"},{"key":"e_1_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/3274783.3274850"}],"container-title":["ACM Transactions on Cyber-Physical Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3300186","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3300186","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T00:25:22Z","timestamp":1750206322000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3300186"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,2,20]]},"references-count":44,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2019,4,30]]}},"alternative-id":["10.1145\/3300186"],"URL":"https:\/\/doi.org\/10.1145\/3300186","relation":{},"ISSN":["2378-962X","2378-9638"],"issn-type":[{"type":"print","value":"2378-962X"},{"type":"electronic","value":"2378-9638"}],"subject":[],"published":{"date-parts":[[2019,2,20]]},"assertion":[{"value":"2017-01-01","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2018-10-01","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2019-02-20","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}