23 citations · 41 across the 8 of their papers we have counts for
10 papers
Screenline-based Two-step Calibration and its application to an agent-based urban freight simulator
Yusuke Hara, Takanori Sakai, André Romano Alho +1
Calibration is an essential process to make an agent-based simulator operational. Especially, the calibration for freight demand is challenging due to the model complexity and the…
Improving the Accuracy and Efficiency of Online Calibration for Simulation-based Dynamic Traffic Assignment
Haizheng Zhang, Ravi Seshadri, A. Arun Prakash +3
Simulation-based Dynamic Traffic Assignment models have important applications in real-time traffic management and control. The efficacy of these systems rests on the ability to ge…
Discrete Choice Analysis with Machine Learning Capabilities
Youssef M. Aboutaleb, Mazen Danaf, Yifei Xie +1
This paper discusses capabilities that are essential to models applied in policy analysis settings and the limitations of direct applications of off-the-shelf machine learning meth…
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…