Conference Sessions

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Mod­el­ing, Sim­u­la­tion & Opti­miza­tion (10)
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Th‑3: Regular Session 

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Today

Th‑3: Regular Session/Behavior and Demand — Wenwen Zhang 

Sub­mis­sion: Machine Learn­ing Based Microsim­u­la­tion Approach for the Spa­tial Dis­tri­b­u­tions of Auto­mat­ed Vehi­cle Pref­er­ences
Pre­sen­ter: Wen­wen Zhang
Authors: Wen­wen Zhang (Vir­ginia Tech)*; Kai­di Wang (Vir­ginia Tech); Sicheng Wang (Rut­gers Uni­ver­si­ty); Zhiqiu Jiang (Uni­ver­si­ty of Vir­ginia); Andrew Mond­schein (Uni­ver­si­ty of Vir­ginia); Robert B. Noland (Rut­gers University)

Th‑3: Regular Session/Behavior and Demand — Shenhao Wang 

Sub­mis­sion: The­o­ry-Based Resid­ual Neur­al Net­works: A Syn­er­gy of Dis­crete Choice Mod­els and Deep Neur­al Net­works
Pre­sen­ter: Shen­hao Wang
Authors: Shen­hao Wang (MIT)*; Baichuan Mo (MIT); Jin­hua Zhao (MIT)

Th‑3: Regular Session/Behavior and Demand — Reza Ansari 

Sub­mis­sion: Prop­a­ga­tion Pre­dic­tion in Urban Road Net­work Dur­ing Acci­dent
Pre­sen­ter: Reza Ansari
Authors: Reza Ansari Esfe (Uni­veristy of Cal­gary)*; Lina Kat­tan (Uni­ver­si­ty of Cal­gary); Moham­mad Ansari Esfeh (Uni­ver­si­ty of Calgary)

Th‑3: Regular Session/Behavior and Demand — Can Li 

Sub­mis­sion: Prob­a­bilis­tic Pub­lic Trans­port Demand Esti­ma­tion with Graph Con­vo­lu­tion Neur­al Net­work
Pre­sen­ter: Can Li
Authors: Can Li (UNSW, Syd­ney)*; Lei Bai (UNSW, Syd­ney); Wei Liu (Uni­ver­si­ty of New South Wales); Lina Yao (UNSW, Syd­ney); Travis Waller (Uni­ver­si­ty of New South Wales)