23 citations · 94 across the 15 of their papers we have counts for
8 papers · 1 filter
Spatiotemporal Characteristics of Ride-sourcing Operation in Urban Area
Simon Oh, Daniel Kondor, Ravi Seshadri +3
The emergence of ride-sourcing platforms has brought an innovative alternative in transportation, radically changed travel behaviors, and suggested new directions for transportatio…
Network Impacts of Automated Mobility-on-Demand: A Macroscopic Fundamental Diagram Perspective
Simon Oh, Antonis F. Lentzakis, Ravi Seshadri +1
Technological advancements have brought increasing attention to Automated Mobility on Demand (AMOD) as a promising solution that may improve future urban mobility. During the last…
E-Commerce Delivery Demand Modeling Framework for An Agent-Based Simulation Platform
Takanori Sakai, Yusuke Hara, Ravi Seshadri +5
The e-commerce delivery demand has grown rapidly in the past two decades and such trend has accelerated tremendously due to the ongoing coronavirus pandemic. Given the situation, t…
A simulation-based evaluation of a Cargo-Hitching service for E-commerce using mobility-on-demand vehicles
Andre Alho, Takanori Sakai, Simon Oh +7
Time-sensitive parcel deliveries, shipments requested for delivery in a day or less, are an increasingly important research subject. It is challenging to deal with these deliveries…
Managing network congestion with a tradable credit scheme: a trip-based MFD approach
Renming Liu, Siyu Chen, Yu Jiang +3
This study investigates the efficiency and effectiveness of an area-based tradable credit scheme (TCS) using the trip-based Macroscopic Fundamental Diagram model for the morning co…
Learning Structure in Nested Logit Models
Youssef M. Aboutaleb, Moshe Ben-Akiva, Patrick Jaillet
This paper introduces a new data-driven methodology for nested logit structure discovery. Nested logit models allow the modeling of positive correlations between the error terms of…
A Neural-embedded Choice Model: TasteNet-MNL Modeling Taste Heterogeneity with Flexibility and Interpretability
Yafei Han, Francisco Camara Pereira, Moshe Ben-Akiva +1
Discrete choice models (DCMs) require a priori knowledge of the utility functions, especially how tastes vary across individuals. Utility misspecification may lead to biased estima…
Sparse Covariance Estimation in Logit Mixture Models
Youssef M Aboutaleb, Mazen Danaf, Yifei Xie +1
This paper introduces a new data-driven methodology for estimating sparse covariance matrices of the random coefficients in logit mixture models. Researchers typically specify cova…