{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,30]],"date-time":"2025-03-30T04:03:06Z","timestamp":1743307386459,"version":"3.40.3"},"reference-count":71,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52072069"],"award-info":[{"award-number":["52072069"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005145","name":"Postgraduate Research and Practice Innovation Program of Jiangsu Province","doi-asserted-by":"publisher","award":["KYCX23-0305"],"award-info":[{"award-number":["KYCX23-0305"]}],"id":[{"id":"10.13039\/501100005145","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Transport. Syst."],"published-print":{"date-parts":[[2025,4]]},"DOI":"10.1109\/tits.2025.3538647","type":"journal-article","created":{"date-parts":[[2025,2,18]],"date-time":"2025-02-18T18:25:49Z","timestamp":1739903149000},"page":"4705-4716","source":"Crossref","is-referenced-by-count":0,"title":["A Surrogate Approach for Real-Time Stress Assessment of Urban Drivers Using Driving Video Data"],"prefix":"10.1109","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6799-5573","authenticated-orcid":false,"given":"Siwei","family":"Wan","sequence":"first","affiliation":[{"name":"School of Transportation, Southeast University, Nanjing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3752-4233","authenticated-orcid":false,"given":"Jie","family":"He","sequence":"additional","affiliation":[{"name":"School of Transportation, Southeast University, Nanjing, China"}]},{"given":"Xiaoyu","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Transportation, Southeast University, Nanjing, China"}]},{"given":"Yuntao","family":"Ye","sequence":"additional","affiliation":[{"name":"School of Transportation, Southeast University, Nanjing, China"}]},{"given":"Pengcheng","family":"Qin","sequence":"additional","affiliation":[{"name":"School of Transportation, Southeast University, Nanjing, China"}]},{"given":"Zhiming","family":"Fang","sequence":"additional","affiliation":[{"name":"School of Transportation, Southeast University, Nanjing, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2020.102652"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2023.3248305"},{"volume-title":"Taxonomy and Definitions for Terms Related to Driving Automation Systems for on-Road Motor Vehicles","year":"2018","key":"ref3"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2023.104212"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2021.102973"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2018.11.018"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2017.01.040"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4684-2238-2_9"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/IROS45743.2020.9341018"},{"key":"ref10","article-title":"Road scene graph: A semantic graph-based scene representation dataset for intelligent vehicles","author":"Tian","year":"2020","journal-title":"arXiv:2011.13588"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3074854"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2021.103428"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3055551"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.114693"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2019.8917362"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1080\/10447318.2022.2146324"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3084149"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1038\/s41380-022-01669-6"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3141044"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01154"},{"key":"ref21","article-title":"RS2G: Data-driven scene-graph extraction and embedding for robust autonomous perception and scenario understanding","author":"Wang","year":"2023","journal-title":"arXiv:2304.08600"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3186585"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2011.2168215"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2005.848368"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2017.09.062"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1080\/10447318.2013.848320"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3146793"},{"key":"ref28","first-page":"5961","article-title":"Detecting emotional stress from facial expressions for driving safety","volume-title":"Proc. IEEE Int. Conf. Image Process. (ICIP)","author":"Gao"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2023.3250460"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3221858"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.3141\/2138-02"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/IEMBS.2011.6090512"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.trf.2006.09.002"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.07.010"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.122056"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.2980555"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2014.2365681"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2023.104271"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.2977762"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3207665"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.trf.2021.08.015"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.trf.2018.10.023"},{"key":"ref43","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1016\/j.aap.2018.03.009","article-title":"A qualitative exploration of driving stress and driving discourtesy","volume":"118","author":"Scott-Parker","year":"2018","journal-title":"Accident Anal. Prevention"},{"key":"ref44","doi-asserted-by":"crossref","DOI":"10.1016\/j.trc.2021.103541","article-title":"Applying machine learning and Google street view to explore effects of drivers\u2019 visual environment on traffic safety","volume":"135","author":"Cai","year":"2022","journal-title":"Transp. Res. C, Emerg. Technol."},{"key":"ref45","first-page":"1527","article-title":"Weather influence and classification with automotive LiDAR sensors","volume-title":"Proc. IEEE Intell. Vehicles Symp. (IV)","author":"Heinzler"},{"key":"ref46","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/j.trc.2019.07.024","article-title":"Quantifying what goes unseen in instrumented and autonomous vehicle perception sensor data\u2014A case study","volume":"107","author":"Wu","year":"2019","journal-title":"Transp. Res. C, Emerg. Technol."},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2022.12.021"},{"key":"ref48","first-page":"239","article-title":"Radar sensors in automatic driving cars","volume-title":"Proc. 5th Int. Conf. Electromechanical Control Technol. Transp. (ICECTT)","author":"Zhaohua"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2023.106808"},{"volume-title":"Tesla Vision Update: Replacing Ultrasonic Sensors With Tesla Vision | Tesla Support","year":"2021","key":"ref50"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8461160"},{"key":"ref52","first-page":"203","article-title":"Multimodal trajectory prediction conditioned on lane-graph traversals","volume-title":"Proc. 5th Conf. Robot Learn.","author":"Deo"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1145\/3289600.3290967"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TCDS.2017.2717451"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2022.3229682"},{"key":"ref56","article-title":"A structured self-attentive sentence embedding","author":"Lin","year":"2017","journal-title":"arXiv:1703.03130"},{"volume-title":"Detectron2","year":"2019","author":"Wu","key":"ref57"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2017.8296962"},{"key":"ref59","article-title":"ZoeDepth: Zero-shot transfer by combining relative and metric depth","author":"Bhat","year":"2023","journal-title":"arXiv:2302.12288"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-93417-4_38"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-20351-1_6"},{"key":"ref62","first-page":"3734","article-title":"Self-attention graph pooling","volume-title":"Proc. ICML","author":"Lee"},{"key":"ref63","article-title":"Neural machine translation by jointly learning to align and translate","author":"Bahdanau","year":"2014","journal-title":"arXiv:1409.0473"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.2984780"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.2979527"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.5555\/1953048.2078195"},{"volume-title":"Experiment Tracking With Weights and Biases","year":"2020","author":"Biewald","key":"ref67"},{"key":"ref68","article-title":"How powerful are graph neural networks?","author":"Xu","year":"2018","journal-title":"arXiv:1810.00826"},{"key":"ref69","article-title":"Attention is all you need. NIPS (2017)","author":"Vaswani","year":"2017","journal-title":"arXiv:1706.03762"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2942030"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1016\/j.aap.2024.107712"}],"container-title":["IEEE Transactions on Intelligent Transportation Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6979\/10945245\/10891588.pdf?arnumber=10891588","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,29]],"date-time":"2025-03-29T05:04:58Z","timestamp":1743224698000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10891588\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4]]},"references-count":71,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tits.2025.3538647","relation":{},"ISSN":["1524-9050","1558-0016"],"issn-type":[{"type":"print","value":"1524-9050"},{"type":"electronic","value":"1558-0016"}],"subject":[],"published":{"date-parts":[[2025,4]]}}}