Conference Sessions

PRESENTERS (109)
Abdul­la, Bahrul­la (1)
Ahamed, Tan­vir (1)
Ali, Rafaqat (1)
Alshu­rafa, Ahmed (1)
Ansari, Reza (1)
Axhausen, Kay (1)
Azeve­­do-Sa, Hebert (1)
Bal­ac, Milos (1)
Bal­lare, Sud­heer (1)
Bayen, Alexan­dre (1)
Bhat, Chan­dra (1)
Bramich, Daniel (1)
Bur­sa, Bar­tosz (1)
Cai, Xiaolin (1)
Calderon, Fran­cis­co (1)
Caros, Nicholas (1)
Chang, Yohan (1)
Chen, Rong­sheng (1)
Chen, Xiang­dong (1)
Daus, Matthew (1)
Dean, Matthew (1)
Dong, Jiqian (1)
Du, Lili (1)
Dug­gal, Mausam (1)
Eftekhar, Zahra (1)
Fakhrmoosavi, Fate­meh (1)
Fer­nan­do, Cel­so (1)
Fil­ipovs­ka, Moni­ka (2)
Flan­na­gan, Car­ol (1)
Fourati, Walid (1)
Geroli­m­in­is, Niko­las (1)
Gong, Feng­min (1)
Gong, Yun­hai (1)
Gopalakr­ish­nan, Ragaven­dran (1)
Guan, Xiangyang (2)
Guo, Hao (1)
Guo, Xiao­tong (1)
Guo, Yi (1)
Hale, David (1)
Hu, Zijian (1)
Jayara­man, Suresh Kumaar (1)
Kaneko, Noriko (1)
Kavia­n­ipour, Moham­madreza (1)
Kawasa­ki, Yosuke (1)
Ke, Jin­tao (2)
Kleiber, Mar­cel (1)
Kon­tou, Eleft­he­ria (1)
Koushik, Gun­takan­ti Sai (1)
Ladi­no, Andres (1)
Lee, Tony (Yoon-Dong) (1)
Levin, Michael (1)
Li, Ang (1)
Li, Can (1)
Li, Qian­wen (1)
Li, Xiaopeng (1)
Liu, Hen­ry (1)
Liu, Xiao­hui (1)
Liu, Zhao­cai (1)
Lorente, Ester (1)
Lou, Yingyan (2)
Luo, Zhix­iong (1)
Ma, Jiaqi (1)
Ma, Mingy­ou (1)
Mah­mas­sani, Hani (1)
Mar­tinez, Irene (1)
Miah, Md Mintu (1)
Miller, Eric (1)
Mintsis, Evan­ge­los (1)
Mirali­naghi, Moham­mad (1)
Moham­ma­di­an, Abol­fa­zl (Kouros) (1)
Mol­nar, Tamas (1)
Nakan­ishi, Wataru (1)
Nam, Daisik (1)
Okuhara, Rui (1)
Rahi­mi, Ehsan (1)
Ros-Roca, Xavier (1)
Sal­lard, Aurore (1)
Sayed, Md Abu (1)
Seo, Toru (1)
Shen, Hui (2)
Song, Zhanguo (1)
Su, Qida (1)
Tafreshi­an, Amirmah­di (1)
Tang, Xin­di (1)
Tay, Tim­o­thy (1)
Tian, Qiong (1)
Tsub­o­ta, Takahi­ro (1)
Ume­da, Shogo (1)
Vacek, Lukas (1)
Wang, Jingx­ing (1)
Wang, Mengx­in (1)
Wang, Shen­hao (1)
Wang, Yineng (1)
Wang, Yiyang (1)
Wei, Bangyang (1)
Xie, Tingt­ing (1)
Xu, Min (1)
Xu, Zhengt­ian (1)
Yan, Huimin (1)
Yang, Chen (1)
Yang, Di (1)
Yang, Hai (1)
Yang, Jie (1)
Zhang, Guo­qing (1)
Zhang, Ke (1)
Zhang, Kenan (1)
Zhang, Wen­wen (1)
Zheng, Zhengfei (1)
Zock­aie, Ali (1)
Loading Events
 Submission A Fac­tor Extrac­tion Method using Deep Learn­ing Tech­nique on Traf­fic Acci­dent Risk
 Presenter Cel­so Fernando
 Authors Cel­so Luis Fer­nan­do (Ehime Uni­ver­si­ty)*
Toshio Yoshii (Ehime Uni­ver­si­ty)
Takahi­ro Tsub­o­ta (Ehime uni­ver­si­ty)
Hiro­to­shi Shi­rayana­gi (Ehime Uni­ver­si­ty)

Extended Abstract

View PDF in full screen

2 Comments 

  1. Micanal­do July 2, 2021 at 1:02 am — Reply

    Nice work. Con­grats Celso!

    Few com­ments:
    1 — Although AUC is the com­mon mea­sure to eval­u­ate the over­all mod­el per­for­mance, I think would be infor­ma­tive also to report the true/false positive/negative rates since this helps to know the direc­tion­al trend of the mod­el in pre­dict­ing the prob­a­ble forth­com­ing sit­u­a­tion (acci­dent, no acci­dent) with the driver/vehicle.
    2 — Do you think the phys­i­cal con­di­tion (e.g., fatigue) of the dri­ver would play a role in the like­li­hood of an acci­dent occurrence?

    • Guoyang July 2, 2021 at 8:49 am — Reply

      Hi Micanal­do, since the ses­sion has already passed, in order for your ques­tions to be respond­ed, we rec­om­mend you to reach the authors direct­ly for fur­ther discussion.

Leave A Comment