{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T19:29:30Z","timestamp":1773775770565,"version":"3.50.1"},"reference-count":27,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T00:00:00Z","timestamp":1569888000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T00:00:00Z","timestamp":1569888000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T00:00:00Z","timestamp":1569888000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,10]]},"DOI":"10.1109\/itsc.2019.8917015","type":"proceedings-article","created":{"date-parts":[[2019,11,29]],"date-time":"2019-11-29T11:11:50Z","timestamp":1575025910000},"page":"382-387","source":"Crossref","is-referenced-by-count":16,"title":["Traffic Monitoring and Anomaly Detection based on Simulation of Luxembourg Road Network"],"prefix":"10.1109","author":[{"given":"Lin","family":"Zhu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rajesh","family":"Krishnan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aruna","family":"Sivakumar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fangce","family":"Guo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"John W.","family":"Polak","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","article-title":"Congestion identification aspects of the mcmaster incident detection algorithm","volume":"1287","author":"persaud","year":"1990","journal-title":"Transportation Research Record Journal of the Transportation Research Board"},{"key":"ref11","first-page":"22","article-title":"Traffic accident analysis using decision trees and neural networks","volume":"2","author":"olutayo","year":"2014","journal-title":"International Journal of Information Technology and Computer Science"},{"key":"ref12","first-page":"18","article-title":"The Use of Convolutional Neural Networks for Traffic Incident Detection at a Network Level","author":"zhu","year":"2018","journal-title":"Transportation Research Board 97th Annual Meeting"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2016.02.011"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2017.02.024"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2018.03.001"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2015.03.014"},{"key":"ref17","first-page":"53","article-title":"Comparison of learning algorithms for handwritten digit recognition","volume":"60","author":"lecun","year":"1995","journal-title":"International Conference on Artificial Neural Networks"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2017.11.021"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2016.07.001"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2016.11.023"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-6243-9_12"},{"key":"ref27","first-page":"807","article-title":"Rectified linear units improve restricted boltzmann machines","author":"nair","year":"2010","journal-title":"Proceedings of the 27th International Conference on Machine Learning"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2014.08.002"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2007.02.001"},{"key":"ref8","article-title":"Freeway incident-detection algorithms based on decision trees with states","volume":"682","author":"payne","year":"1978","journal-title":"Transportation Research Record Journal of the Transportation Research Board"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2016.08.006"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2017.11.027"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2015.03.041"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/S0968-090X(03)00020-2"},{"key":"ref20","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"The Journal of Machine Learning Research"},{"key":"ref22","article-title":"A complete review of incident detection algorithms & their deployment: what works and what doesn&#x2019;t","author":"parkany","year":"2005","journal-title":"University of Massachusetts Transportation Center Tech Rep"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1561\/2200000006"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/MITS.2017.2666585"},{"key":"ref26","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1111\/j.1468-0394.2010.00568.x","article-title":"Multi-scale internet traffic forecasting using neural networks and time series methods","volume":"29","author":"cortez","year":"2012","journal-title":"Expert Systems"},{"key":"ref25","first-page":"13","article-title":"Traffic incident detection using random forest","author":"liu","year":"2013","journal-title":"Transportation Research Board 92nd Annual Meeting"}],"event":{"name":"2019 IEEE Intelligent Transportation Systems Conference - ITSC","location":"Auckland, New Zealand","start":{"date-parts":[[2019,10,27]]},"end":{"date-parts":[[2019,10,30]]}},"container-title":["2019 IEEE Intelligent Transportation Systems Conference (ITSC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8907344\/8916833\/08917015.pdf?arnumber=8917015","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,27]],"date-time":"2024-07-27T22:25:43Z","timestamp":1722119143000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8917015\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,10]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/itsc.2019.8917015","relation":{},"subject":[],"published":{"date-parts":[[2019,10]]}}}