{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T19:44:21Z","timestamp":1726083861170},"publisher-location":"Singapore","reference-count":22,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811552311"},{"type":"electronic","value":"9789811552328"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-981-15-5232-8_59","type":"book-chapter","created":{"date-parts":[[2020,5,8]],"date-time":"2020-05-08T12:02:53Z","timestamp":1588939373000},"page":"684-694","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Driving Activity Recognition of Motorcyclists Using Smartphone Sensor"],"prefix":"10.1007","author":[{"given":"Aasim","family":"Raheel","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Muhammad","family":"Ehatisham-ul-Haq","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anees","family":"Iqbal","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hanan","family":"Ali","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Muhammad","family":"Majid","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,5,9]]},"reference":[{"key":"59_CR1","doi-asserted-by":"crossref","unstructured":"Chen, Z., Yu, J., Zhu, Y., Chen, Y., Li, M.: D 3: abnormal driving behaviors detection and identification using smartphone sensors. In: 2015 12th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON), pp. 524\u2013532. IEEE (2015)","DOI":"10.1109\/SAHCN.2015.7338354"},{"issue":"1","key":"59_CR2","doi-asserted-by":"publisher","first-page":"1374822","DOI":"10.1080\/23311916.2017.1374822","volume":"4","author":"TB Coenen","year":"2017","unstructured":"Coenen, T.B., Golroo, A.: A review on automated pavement distress detection methods. Cogent Eng. 4(1), 1374822 (2017)","journal-title":"Cogent Eng."},{"key":"59_CR3","doi-asserted-by":"crossref","unstructured":"Douangphachanh, V., Oneyama, H.: A model for the estimation of road roughness condition from sensor data collected by android smartphones. J JSCE, Ser. D3 (Infrastr. Plann. Manage.) 70(5), I$$\\_$$103\u2013I$$\\_$$111 (2014)","DOI":"10.2208\/jscejipm.70.I_103"},{"issue":"3","key":"59_CR4","doi-asserted-by":"publisher","first-page":"04016061","DOI":"10.1061\/(ASCE)CP.1943-5487.0000630","volume":"31","author":"K Doycheva","year":"2016","unstructured":"Doycheva, K., Koch, C., K\u00f6nig, M.: GPU-enabled pavement distress image classification in real time. J. Comput. Civ. Eng. 31(3), 04016061 (2016)","journal-title":"J. Comput. Civ. Eng."},{"key":"59_CR5","doi-asserted-by":"crossref","unstructured":"Gawad, S.M.A., El Mougy, A., El-Meligy, M.A.: Dynamic mapping of road conditions using smartphone sensors and machine learning techniques. In: 2016 IEEE 84th Vehicular Technology Conference (VTC-Fall), pp. 1\u20135. IEEE (2016)","DOI":"10.1109\/VTCFall.2016.7880972"},{"issue":"3","key":"59_CR6","doi-asserted-by":"publisher","first-page":"28","DOI":"10.3390\/data3030028","volume":"3","author":"K Gopalakrishnan","year":"2018","unstructured":"Gopalakrishnan, K.: Deep learning in data-driven pavement image analysis and automated distress detection: a review. Data 3(3), 28 (2018)","journal-title":"Data"},{"issue":"16","key":"59_CR7","doi-asserted-by":"publisher","first-page":"5192","DOI":"10.1109\/JSEN.2017.2719865","volume":"17","author":"P Harikrishnan","year":"2017","unstructured":"Harikrishnan, P., Gopi, V.P.: Vehicle vibration signal processing for road surface monitoring. IEEE Sens. J. 17(16), 5192\u20135197 (2017)","journal-title":"IEEE Sens. J."},{"key":"59_CR8","unstructured":"Kohavi, R., Sommerfield, D.: Feature subset selection using the wrapper method: overfitting and dynamic search space topology. In: KDD, pp. 192\u2013197 (1995)"},{"key":"59_CR9","unstructured":"Li, F., Zhang, H., Che, H., Qiu, X.: Dangerous driving behavior detection using smartphone sensors. In: 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC), pp. 1902\u20131907. IEEE (2016)"},{"key":"59_CR10","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1016\/j.compenvurbsys.2017.12.005","volume":"69","author":"X Li","year":"2018","unstructured":"Li, X., Goldberg, D.W.: Toward a mobile crowdsensing system for road surface assessment. Comput. Environ. Urban Syst. 69, 51\u201362 (2018)","journal-title":"Comput. Environ. Urban Syst."},{"key":"59_CR11","doi-asserted-by":"crossref","unstructured":"Lima, L.C., Amorim, V.J.P., Pereira, I.M., Ribeiro, F.N., Oliveira, R.A.R.: Using crowdsourcing techniques and mobile devices for asphaltic pavement quality recognition. In: 2016 VI Brazilian Symposium on Computing Systems Engineering (SBESC), pp. 144\u2013149. IEEE (2016)","DOI":"10.1109\/SBESC.2016.029"},{"key":"59_CR12","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1007\/978-3-319-67077-5_3","volume-title":"Computational Collective Intelligence","author":"D-N Lu","year":"2017","unstructured":"Lu, D.-N., Ngo, T.-T.-T., Le, H.-Q., Tran, T.-T.-H., Nguyen, M.-H.: MDBR: mobile driving behavior recognition using smartphone sensors. In: Nguyen, N.T., Papadopoulos, G.A., J\u0119drzejowicz, P., Trawi\u0144ski, B., Vossen, G. (eds.) ICCCI 2017. LNCS (LNAI), vol. 10449, pp. 22\u201331. Springer, Cham (2017). \nhttps:\/\/doi.org\/10.1007\/978-3-319-67077-5_3"},{"issue":"4","key":"59_CR13","doi-asserted-by":"publisher","first-page":"1036","DOI":"10.3390\/s18041036","volume":"18","author":"DN Lu","year":"2018","unstructured":"Lu, D.N., Nguyen, D.N., Nguyen, T.H., Nguyen, H.N.: Vehicle mode and driving activity detection based on analyzing sensor data of smartphones. Sensors 18(4), 1036 (2018)","journal-title":"Sensors"},{"key":"59_CR14","doi-asserted-by":"crossref","unstructured":"Ma, C., Dai, X., Zhu, J., Liu, N., Sun, H., Liu, M.: DrivingSense: dangerous driving behavior identification based on smartphone autocalibration. Mob. Inf. Syst. 2017 (2017)","DOI":"10.1155\/2017\/9075653"},{"issue":"6","key":"59_CR15","doi-asserted-by":"publisher","first-page":"1915","DOI":"10.1109\/JBHI.2014.2304357","volume":"18","author":"X Ma","year":"2014","unstructured":"Ma, X., Wang, H., Xue, B., Zhou, M., Ji, B., Li, Y.: Depth-based human fall detection via shape features and improved extreme learning machine. IEEE J. Biomed. Health Inf. 18(6), 1915\u20131922 (2014)","journal-title":"IEEE J. Biomed. Health Inf."},{"key":"59_CR16","doi-asserted-by":"crossref","unstructured":"Seraj, F., Zhang, K., Turkes, O., Meratnia, N., Havinga, P.J.: A smartphone based method to enhance road pavement anomaly detection by analyzing the driver behavior. In: Adjunct Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, pp. 1169\u20131177. ACM (2015)","DOI":"10.1145\/2800835.2800981"},{"issue":"7","key":"59_CR17","doi-asserted-by":"publisher","first-page":"1984","DOI":"10.3390\/s18071984","volume":"18","author":"N Silva","year":"2018","unstructured":"Silva, N., Shah, V., Soares, J., Rodrigues, H.: Road anomalies detection system evaluation. Sensors 18(7), 1984 (2018)","journal-title":"Sensors"},{"key":"59_CR18","doi-asserted-by":"publisher","first-page":"415","DOI":"10.1016\/j.procs.2017.11.056","volume":"121","author":"N Silva","year":"2017","unstructured":"Silva, N., Soares, J., Shah, V., Santos, M.Y., Rodrigues, H.: Anomaly detection in roads with a data mining approach. Proc. Comput. Sci. 121, 415\u2013422 (2017)","journal-title":"Proc. Comput. Sci."},{"key":"59_CR19","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1016\/j.pmcj.2017.06.002","volume":"40","author":"G Singh","year":"2017","unstructured":"Singh, G., Bansal, D., Sofat, S., Aggarwal, N.: Smart patrolling: an efficient road surface monitoring using smartphone sensors and crowdsourcing. Perv. Mob. Comput. 40, 71\u201388 (2017)","journal-title":"Perv. Mob. Comput."},{"key":"59_CR20","doi-asserted-by":"publisher","first-page":"196","DOI":"10.1016\/j.trc.2017.03.014","volume":"79","author":"EI Vlahogianni","year":"2017","unstructured":"Vlahogianni, E.I., Barmpounakis, E.N.: Driving analytics using smartphones: algorithms, comparisons and challenges. Transp. Res. Part C: Emerg. Technol. 79, 196\u2013206 (2017)","journal-title":"Transp. Res. Part C: Emerg. Technol."},{"issue":"4","key":"59_CR21","doi-asserted-by":"publisher","first-page":"1905","DOI":"10.1109\/TITS.2014.2378511","volume":"16","author":"CW Yi","year":"2015","unstructured":"Yi, C.W., Chuang, Y.T., Nian, C.S.: Toward crowdsourcing-based road pavement monitoring by mobile sensing technologies. IEEE Trans. Intell. Transp. Syst. 16(4), 1905\u20131917 (2015)","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"issue":"8","key":"59_CR22","doi-asserted-by":"publisher","first-page":"2198","DOI":"10.1109\/TMC.2016.2618873","volume":"16","author":"J Yu","year":"2016","unstructured":"Yu, J., Chen, Z., Zhu, Y., Chen, Y.J., Kong, L., Li, M.: Fine-grained abnormal driving behaviors detection and identification with smartphones. IEEE Trans. Mob. Comput. 16(8), 2198\u20132212 (2016)","journal-title":"IEEE Trans. Mob. Comput."}],"container-title":["Communications in Computer and Information Science","Intelligent Technologies and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-15-5232-8_59","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,5,8]],"date-time":"2020-05-08T12:12:50Z","timestamp":1588939970000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-15-5232-8_59"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9789811552311","9789811552328"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-981-15-5232-8_59","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"9 May 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"INTAP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Technologies and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bahawalpur","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Pakistan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 November 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 November 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"intap2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/jdconline.net\/intap\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"224","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":"60","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":"6","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":"27% - 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":"5","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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1 Invited Paper","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}