Conference Sessions
Behavior and Demand
M‑1: Regular Session/Behavior and Demand — Milos Balac
Submission: Dynamic Demand Estimation for Single-Ride AMoD and Fleet Size Optimization for Pooled AMoD across the Globe
Presenter: Milos Balac
Authors: Milos Balac (IVT, ETHZ)*; Sebastian Hörl (IVT, ETHZ); Kay W. Axhausen (IVT, ETH)
M‑1: Regular Session/Behavior and Demand — Eric Miller
Submission: A Tour-Based Transit Station Auto Access-Egress Model
Presenter: Eric Miller
Authors: Eric Miller (University of Toronto)*; James Vaughan (University of Toronto)
M‑1: Regular Session/Behavior and Demand — Abolfazl (Kouros) Mohammadian
Submission: Complexity of Travel-Based Multitasking and Its Association to Latent Lifestyles
Presenter: Abolfazl (Kouros) Mohammadian
Authors: Ali Shamshiripour (UIC)*; Ehsan Rahimi (UIC); Abolfazl (Kouros) Mohammadian (UIC); Joshua Auld (Argonne National Laboratory )
M‑1: Regular Session/Behavior and Demand — Wataru Nakanishi
Submission: Application of Eigenvector Spatial Filtering to Travel Destination Choice Model: A Case Study of Municipality-Size Choice in Hokkaido Island, Japan
Presenter: Wataru Nakanishi
Authors: Wataru Nakanishi (Tokyo Institute of Technology)*; Hiromichi Yamaguchi (Kanazawa University)
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)