Conference Sessions

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Mod­el­ing, Sim­u­la­tion & Opti­miza­tion (10)
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Today

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)

T‑3: Regular Session/Data — Zijian Hu 

Sub­mis­sion: Self-Cal­i­bra­tion of Traf­fic Sur­veil­lance Cam­era Sys­tems for Traf­fic Den­si­ty Esti­ma­tion on Urban Roads
Pre­sen­ter: Zijian Hu
Authors: Zijian Hu (The Hong Kong Poly­tech­nic Uni­ver­si­ty); Wei Ma (The Hong Kong Poly­tech­nic Uni­ver­si­ty)*; William Lam (The Hong Kong Poly­tech­nic Uni­ver­si­ty); S. C. Wong (The Uni­ver­si­ty of Hong Kong); Andy Chow (City Uni­ver­si­ty of Hong Kong)

T‑3: Regular Session/Data — Ang Li 

Sub­mis­sion: With­in-Day Pre­dic­tion of Path Trav­el Times with Use of Mul­ti-Source of Traf­fic Data
Pre­sen­ter: Ang Li
Authors: Ang Li (The Hong Kong Poly­tech­nic Uni­ver­si­ty)*; William Lam (The Hong Kong Poly­tech­nic Uni­ver­si­ty); Renx­in Zhong (Sun Yat-sen University)

T‑3: Regular Session/Data — Di Yang 

Sub­mis­sion: Explor­ing the Pos­si­bil­i­ty of Out­lier Detec­tion Using Func­tion­al Data Analy­sis for Proac­tive Safe­ty Man­age­ment
Pre­sen­ter: Di Yang
Authors: Di Yang (New York Uni­ver­si­ty)*; Kaan Ozbay (New York Uni­ver­si­ty); Kun Xie (Old Domin­ion Uni­ver­si­ty); Hong Yang (Old Domin­ion Uni­ver­si­ty); Fan Zuo (New York Uni­ver­si­ty); Di Sha (New York University)

T‑3: Regular Session/Data — Xiangyang Guan 

Sub­mis­sion: Cor­rect­ing Bias­es in Using Emerg­ing Big Data for Mobil­i­ty Research: A Like­li­hood-Based Approach
Pre­sen­ter: Xiangyang Guan
Authors: Xiangyang Guan (Uni­ver­si­ty of Wash­ing­ton)*; Cyn­thia Chen (Uni­ver­si­ty of Wash­ing­ton); Shuai Huang (Uni­ver­si­ty of Washington)

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)