{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T17:16:21Z","timestamp":1771521381817,"version":"3.50.1"},"reference-count":42,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"name":"Renewable Energy Technology Research Institution, Fujan University of Technology, Ningde","award":["KY310338"],"award-info":[{"award-number":["KY310338"]}]},{"name":"2020 Fujian Province \u201cBelt and Road\u201d Technology Innovation Platform","award":["2020D002"],"award-info":[{"award-number":["2020D002"]}]},{"name":"Provincial Candidates for the Hundred, Thousand and Ten Thousand Talent of Fujian","award":["GY-Z19113"],"award-info":[{"award-number":["GY-Z19113"]}]},{"name":"Patent Grant Project","award":["GY-Z18081"],"award-info":[{"award-number":["GY-Z18081"]}]},{"name":"Patent Grant Project","award":["GY-Z19099"],"award-info":[{"award-number":["GY-Z19099"]}]},{"name":"Patent Grant Project","award":["GY-Z20074"],"award-info":[{"award-number":["GY-Z20074"]}]},{"name":"Horizontal Projects","award":["GY-H-20077"],"award-info":[{"award-number":["GY-H-20077"]}]},{"name":"Municipal Level Science and Technology Projects","award":["GY-Z-22006"],"award-info":[{"award-number":["GY-Z-22006"]}]},{"name":"Municipal Level Science and Technology Projects","award":["GY-Z-220230"],"award-info":[{"award-number":["GY-Z-220230"]}]},{"name":"Fujian Provincial Department of Science and Technology Foreign Cooperation Project","award":["2023I0024"],"award-info":[{"award-number":["2023I0024"]}]},{"name":"Open Fund Project","award":["KF-X19002"],"award-info":[{"award-number":["KF-X19002"]}]},{"name":"Open Fund Project","award":["KF-19-22001"],"award-info":[{"award-number":["KF-19-22001"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/access.2023.3334388","type":"journal-article","created":{"date-parts":[[2023,11,20]],"date-time":"2023-11-20T19:29:10Z","timestamp":1700508550000},"page":"130560-130572","source":"Crossref","is-referenced-by-count":2,"title":["A Framework for Travel Speed Prediction Inclusive of Service Area Dwell Times"],"prefix":"10.1109","volume":"11","author":[{"given":"Xu","family":"Luo","sequence":"first","affiliation":[{"name":"Fujian Key Laboratory for Automotive Electronics and Electric Drive, Fujian University of Technology, Fuzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4234-1861","authenticated-orcid":false,"given":"Fumin","family":"Zou","sequence":"additional","affiliation":[{"name":"Fujian Key Laboratory for Automotive Electronics and Electric Drive, Fujian University of Technology, Fuzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sijie","family":"Luo","sequence":"additional","affiliation":[{"name":"School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Feng","family":"Guo","sequence":"additional","affiliation":[{"name":"Fujian Key Laboratory for Automotive Electronics and Electric Drive, Fujian University of Technology, Fuzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/4438861"},{"issue":"3","key":"ref2","first-page":"1","article-title":"Systematic review on anti-speeding countermeasure research","volume":"33","author":"Jiang","year":"2020","journal-title":"China J. Highway Transp."},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.aap.2019.105366"},{"issue":"5","key":"ref4","first-page":"170","article-title":"Study on risk model of highway traffic accidents based on LSTM BF","volume":"32","author":"Xiong","year":"2022","journal-title":"China Saf. Sci. J."},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1080\/19439962.2018.1564945"},{"issue":"1","key":"ref6","first-page":"1","article-title":"Urban traffic state recognition based on genetic algorithm optimized support vector machine","volume":"39","author":"Li","year":"2020","journal-title":"J. Chongqing Jiaotong Univ., Natural Sci."},{"issue":"12","key":"ref7","first-page":"239","article-title":"Traffic prediction and congestion control based on directed graph convolution neural network","volume":"34","author":"Zeng","year":"2021","journal-title":"China J. Highway Transp."},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.115998"},{"issue":"4","key":"ref9","first-page":"405","article-title":"A combined predicting model for expressway travel time based on EMD-GRU","volume":"42","author":"Yong","year":"2021","journal-title":"Appl. Math. Mech."},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.3390\/e24081050"},{"issue":"5","key":"ref11","first-page":"68","article-title":"Active traffic guidance method for recurrent congestion points","volume":"39","author":"Luo","year":"2021","journal-title":"J. Transp. Inf. Saf."},{"issue":"6","key":"ref12","first-page":"293","article-title":"NRT-V2X: Adaptive data dissemination protocol for traffic efficiency of connected and automated highways","volume":"32","author":"Tian","year":"2019","journal-title":"China J. Highway Transp."},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.02.005"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.aap.2020.105509"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.isci.2022.103909"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3390\/electronics11101613"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0262535"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.112864"},{"key":"ref19","volume-title":"Highway Tolling Big Data Wisdom Integrated Application Platform Construction Program","year":"2022"},{"key":"ref20","article-title":"ETC data based identification of vehicles entering the service area and traffic flow prediction","author":"Wei","year":"2021"},{"issue":"5","key":"ref21","first-page":"76","article-title":"A model of travel speed calculation for freeway road segments with ETC transaction data","volume":"35","author":"Weng","year":"2017","journal-title":"J. Transp. Inf. Saf."},{"issue":"5","key":"ref22","first-page":"75","article-title":"Research on speed distribution and vehicle type classification of mountain expressway based on electronic toll collection data","volume":"22","author":"Xu","year":"2022","journal-title":"J. Transp. Syst. Eng. Inf. Technol."},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.26599\/bdma.2020.9020027"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/6639559"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.3390\/su12020646"},{"issue":"6","key":"ref26","first-page":"100","article-title":"A new determine method on pause rate in expressway service area based on vehicle continuous travel time","volume":"37","author":"Cui","year":"2008","journal-title":"J. Hebei Univ. Technol."},{"issue":"93","key":"ref27","first-page":"109","article-title":"Transportation potential calculation model of pause rate in expressway service area","volume":"5","author":"Wang","year":"2008","journal-title":"China J. Highway Transp."},{"issue":"6","key":"ref28","first-page":"164","article-title":"Prediction model for percentage of expressway traffic entering rest area based on BP neural network","volume":"6","author":"Liu","year":"2012","journal-title":"Highway"},{"issue":"4","key":"ref29","first-page":"210","article-title":"Study on the entering rate research and forecasting of Shanxi province expressway service area","volume":"38","author":"Liu","year":"2013","journal-title":"Highway Eng."},{"issue":"6","key":"ref30","first-page":"304","article-title":"Research on the optimal scale of expressway service area based on A-CBR","volume":"36","author":"Ou","year":"2016","journal-title":"J. China Foreign Highway"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s40534-020-00225-8"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1080\/23249935.2020.1798555"},{"issue":"3","key":"ref33","first-page":"59","article-title":"Prediction of bus dwell time using support vector machine based on near neighbors","volume":"19","author":"Huo","year":"2021","journal-title":"J. Transp. Eng. Inf."},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/tits.2020.2979390"},{"key":"ref35","volume-title":"Study on driving mileage prediction of pure electric vehicles based on machine learning","author":"Gao","year":"2018"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1013203451"},{"issue":"6","key":"ref37","first-page":"192","article-title":"Comparison and analysis of results from professional experts of different specialty by AHP","volume":"62","author":"Ma","year":"2017","journal-title":"Highway"},{"issue":"5","key":"ref38","first-page":"32","article-title":"BPNN-HDMR nonlinear metamodeling technique and its application","volume":"41","author":"Li","year":"2014","journal-title":"J. Hunan Univ., Natural Sci."},{"issue":"8","key":"ref39","first-page":"6679","article-title":"TabNet: Attentive interpretable tabular learning [J\/OL]","volume-title":"Proc. AAAI Conf. Artif. Intell.","volume":"35","author":"Pfister"},{"key":"ref40","first-page":"3146","article-title":"LightGBM: A highly efficient gradient boosting decision tree","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Ke"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939785"},{"key":"ref42","article-title":"Resnet in resnet: Generalizing residual architectures","author":"Targ","year":"2016","journal-title":"arXiv:1603.08029"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/10005208\/10322859.pdf?arnumber=10322859","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,2]],"date-time":"2024-03-02T21:40:58Z","timestamp":1709415658000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10322859\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":42,"URL":"https:\/\/doi.org\/10.1109\/access.2023.3334388","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}