{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T15:01:44Z","timestamp":1743087704941,"version":"3.40.3"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030794620"},{"type":"electronic","value":"9783030794637"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-79463-7_39","type":"book-chapter","created":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T23:03:07Z","timestamp":1626649387000},"page":"462-473","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Map-Matching Based on HMM for Urban Traffic"],"prefix":"10.1007","author":[{"given":"Dongzi","family":"Chen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinzheng","family":"Niu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Philippe","family":"Fournier-Viger","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenxin","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bing","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,7,19]]},"reference":[{"key":"39_CR1","unstructured":"Qu, B., Yang, W., Cui, G., Wang, X.: Profitable taxi travel route recommendation based on big taxi trajectory data. IEEE Trans. Intell. Transp. Syst. PP(99), 1\u201316 (2019)"},{"issue":"4","key":"39_CR2","first-page":"1","volume":"14","author":"Q Gao","year":"2019","unstructured":"Gao, Q., Fu, J., Yu, Y., Tang, X.: Identification of urban regions\u2019 functions in Chengdu, China, based on vehicle trajectory data. PLOS ONE 14(4), 1\u201317 (2019)","journal-title":"PLOS ONE"},{"key":"39_CR3","unstructured":"Srinivasan, D., Cheu, R.L., Tan, C.W.: Development of an improved ERP system using GPS and AI techniques. In: Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems. vol. 1, pp. 554\u2013559 (2003)"},{"key":"39_CR4","unstructured":"Brakatsoulas, S., Pfoser, D., Salas, R., Wenk, C.: On map-matching vehicle tracking data. In: Proceedings of the 31st International Conference on Very Large Data Bases, Trondheim, Norway (2005)"},{"key":"39_CR5","doi-asserted-by":"crossref","unstructured":"Tang, J., Zhang, S., Zou, Y., Liu, F.: An adaptive map-matching algorithm based on hierarchical fuzzy system from vehicular GPS data. PLoS ONE 12(12) (2017)","DOI":"10.1371\/journal.pone.0188796"},{"key":"39_CR6","doi-asserted-by":"crossref","unstructured":"Zhao, X., et al.: Advanced topological map matching algorithm based on d-s theory. Arab. J. Sci. Eng. 43(8), 3863\u20133874 (2018)","DOI":"10.1007\/s13369-017-2569-0"},{"key":"39_CR7","doi-asserted-by":"crossref","unstructured":"Wang, G., Zimmermann, R.: Eddy: an error-bounded delay-bounded real-time map matching algorithm using hmm and online Viterbi decoder. In: Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (2014)","DOI":"10.1145\/2666310.2666383"},{"issue":"1","key":"39_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s13638-018-1154-x","volume":"2018","author":"L Yuan","year":"2018","unstructured":"Yuan, L., Li, D., Hu, S.: A map-matching algorithm with low-frequency floating car data based on matching path. EURASIP J. Wirel. Commun. Netw. 2018(1), 1\u201314 (2018). https:\/\/doi.org\/10.1186\/s13638-018-1154-x","journal-title":"EURASIP J. Wirel. Commun. Netw."},{"key":"39_CR9","doi-asserted-by":"crossref","unstructured":"Lou, Y., Zhang, C., Xie, X., Zheng, Y., Wang, W., Huang, Y.: Map-matching for low-sampling-rate GPS trajectories. In: Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, pp. 352\u2013361 (2009)","DOI":"10.1145\/1653771.1653820"},{"issue":"3","key":"39_CR10","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1023\/A:1025196714293","volume":"7","author":"MF Mokbel","year":"2003","unstructured":"Mokbel, M.F., Aref, W.G., Kamel, I.: Analysis of multi-dimensional space-filling curves. GeoInformatica 7(3), 179\u2013209 (2003)","journal-title":"GeoInformatica"},{"issue":"4","key":"39_CR11","doi-asserted-by":"publisher","first-page":"847","DOI":"10.1109\/TITS.2016.2591958","volume":"18","author":"R Mohamed","year":"2017","unstructured":"Mohamed, R., Aly, H., Youssef, M.: Accurate real-time map matching for challenging environments. IEEE Trans. Intell. Transp. Syst. 18(4), 847\u2013857 (2017)","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"39_CR12","unstructured":"Han, S., Chen, X.: Research on width of urban streets in China. J. Tongji Univ. (Natl. Sci.) 34 (2006)"},{"key":"39_CR13","doi-asserted-by":"crossref","unstructured":"Xiaoqiang, H.: Jinqing: map-matching algorithm based on the junction decision domain and the hidden Markov model. PloS One 14(5), e0216476 (2019)","DOI":"10.1371\/journal.pone.0216476"},{"key":"39_CR14","doi-asserted-by":"publisher","first-page":"31","DOI":"10.3390\/ijgi9010031","volume":"9","author":"M Liu","year":"2020","unstructured":"Liu, M., Zhang, L., Ge, J., Long, Y., Che, W.: Map matching for urban high-sampling-frequency GPS trajectories. ISPRS Int. J. Geo-Inf. 9, 31 (2020)","journal-title":"ISPRS Int. J. Geo-Inf."},{"key":"39_CR15","unstructured":"Brakatsoulas, S., Pfoser, D., Salas, R., Wenk, C.: On map-matching vehicle tracking data. In: Proceedings of the 31st International Conference on Very Large Data Bases, pp. 853\u2013864 (2005)"},{"key":"39_CR16","doi-asserted-by":"crossref","unstructured":"Viterbi, A.J.: Error bounds for convolutional codes and an asymptotically optimum decoding algorithm. IEEE Trans. Inf. Theory 13(2), 260\u2013269 (1967)","DOI":"10.1109\/TIT.1967.1054010"},{"key":"39_CR17","doi-asserted-by":"crossref","unstructured":"Newson, P., Krumm, J.: Hidden Markov map matching through noise and sparseness. In: Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, pp. 336\u2013343 (2009)","DOI":"10.1145\/1653771.1653818"},{"key":"39_CR18","unstructured":"Raymond, R., Morimura, T., Osogami, T., Hirosue, N.: Map matching with hidden Markov model on sampled road network. In: Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012), pp. 2242\u20132245 (2012)"}],"container-title":["Lecture Notes in Computer Science","Advances and Trends in Artificial Intelligence. From Theory to Practice"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-79463-7_39","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T23:26:23Z","timestamp":1626650783000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-79463-7_39"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030794620","9783030794637"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-79463-7_39","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"19 July 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IEA\/AIE","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Kuala Lumpur","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Malaysia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 July 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 July 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"34","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ieaaie2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ieeecomputer.my\/ieaaie2021\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Microsoft CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"145","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"87","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"19","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"60% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4.35","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}