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Th‑5: Lightning Session 

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Th‑5: Lightning Session/Data — Walid Fourati 

Sub­mis­sion: Esti­mat­ing Fun­da­men­tal Dia­grams of Sig­nal­ized Links from Aggre­gat­ed Tra­jec­to­ries
Pre­sen­ter: Walid Fourati
Authors: Walid Fourati (Tech­ni­cal Uni­ver­si­ty of Braun­schweig)*; Aleks Tri­funovic (Tech­ni­cal Uni­ver­si­ty of Braun­schweig); Bern­hard Friedrich (Insti­tute of Trans­porta­tion and Urban Engi­neer­ing, TU Braunschweig)

Th‑5: Lightning Session/Data — Mengxin Wang 

Sub­mis­sion: Urban Couri­er: Oper­a­tional Inno­va­tion and Data-Dri­ven Cov­er­age-and-Pric­ing
Pre­sen­ter: Mengx­in Wang
Authors: Mengx­in Wang (Uni­ver­si­ty of Cal­i­for­nia, Berkeley)*

Th‑5: Lightning Session/Data — Zahra Eftekhar 

Sub­mis­sion: Ker­nel-based Approach to Recon­struct Trav­el Diaries from GSM Records
Pre­sen­ter: Zahra Eftekhar
Authors: Zahra Eftekhar (TU Delft)*; Adam Pel (TU Delft); Hans van Lint (TU Delft)

Th‑5: Lightning Session/Data — Hui Shen 

Sub­mis­sion: Pre­lim­i­nary Inves­ti­ga­tion of Crowd-ship­ping with Real-world Data: A Case Study of Atlanta, GA
Pre­sen­ter: Hui Shen
Authors: Hui Shen (Uni­ver­si­ty of Illi­nois at Chica­go); Jane Lin (Uni­ver­si­ty of Illi­nois at Chicago)*

Th‑5: Lightning Session/Data — Ke Zhang 

Sub­mis­sion: A Mul­ti-Agent Rein­force­ment Learn­ing Frame­work for Mul­ti­ple Vehi­cle Rout­ing Prob­lems with Soft Time Win­dows
Pre­sen­ter: Ke Zhang
Authors: Ke Zhang (Tsinghua University)*

Th‑5: Lightning Session/Data — Takahiro Tsubota 

Sub­mis­sion: Deep Learn­ing Mod­el for Pre­dict­ing Traf­fic Acci­dent Risk on an Express­way
Pre­sen­ter: Takahi­ro Tsub­o­ta
Authors: Takahi­ro Tsub­o­ta (Ehime uni­ver­si­ty)*; Mamoru Shim­mizu (Ehime Uni­ver­si­ty); Toshio Yoshii (Ehime Uni­ver­si­ty); Hiro­to­shi Shi­rayana­gi (Ehime University)