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M‑5: Lightning Session 

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M‑5: Lightning Session/Data — Yohan Chang 

Sub­mis­sion: Syn­TIS: Syn­thet­ic Trav­el­er Infor­ma­tion in Smart City
Pre­sen­ter: Yohan Chang
Authors: Yohan Chang (Korea Research Insti­tute for Human Settlements)*

M‑5: Lightning Session/Data — Yosuke Kawasaki 

Sub­mis­sion: Analy­sis of Fea­tures of the Routes Using Probe Tra­jec­to­ry Data
Pre­sen­ter: Yosuke Kawasa­ki
Authors: Yosuke Kawasa­ki (Tohoku Uni­ver­si­ty)*; Shogo Ume­da (Tohoku Uni­ver­si­ty); Masao Kuwa­hara (Tohoku University)

M‑5: Lightning Session/Data — Jintao Ke 

Sub­mis­sion: Ori­gin-Des­ti­na­tion Demand Pre­dic­tion Via Spa­tial-Tem­po­ral Mul­ti-Graph CNN
Pre­sen­ter: Jin­tao Ke
Authors: Siyuan Feng (Hong Kong Uni­ver­si­ty of Sci­ence and Tech­nol­o­gy); Jin­tao Ke (Hong Kong Uni­ver­si­ty of Sci­ence and Tech­nol­o­gy)*; Hai Yang (Hong Kong Uni­ver­si­ty of Sci­ence and Technology)

M‑5: Lightning Session/Data — Xavier Ros-Roca 

Sub­mis­sion: A Data Dri­ven Approach to Dynam­ic Ori­gin-Des­ti­na­tion Matrix Esti­ma­tion
Pre­sen­ter: Xavier Ros-Roca
Authors: Xavier Ros-Roca (Uni­ver­si­tat Politèc­ni­ca de Catalun­ya (UPC))*; Jaume Barceló (PTV Group); Lidia Mon­tero (Uni­ver­si­tat Politèc­ni­ca de Catalun­ya (UPC)); Gui­do Gen­tile (Sapien­za Uni­ver­sità di Roma); Klaus Nökel (PTV Group)

M‑5: Lightning Session/Data — Celso Fernando 

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)