4 citations · 4 across the 3 of their papers we have counts for
4 papers
Modeling Household Online Shopping Demand in the U.S.: A Machine Learning Approach and Comparative Investigation between 2009 and 2017
Limon Barua, Bo Zou, Yan +2
Despite the rapid growth of online shopping and research interest in the relationship between online and in-store shopping, national-level modeling and investigation of the demand…
Deep Reinforcement Learning for Crowdsourced Urban Delivery: System States Characterization, Heuristics-guided Action Choice, and Rule-Interposing Integration
Tanvir Ahamed, Bo Zou, Nahid Parvez Farazi +1
This paper investigates the problem of assigning shipping requests to ad hoc couriers in the context of crowdsourced urban delivery. The shipping requests are spatially distributed…
Deep Reinforcement Learning and Transportation Research: A Comprehensive Review
Nahid Parvez Farazi, Tanvir Ahamed, Limon Barua +1
Deep reinforcement learning (DRL) is an emerging methodology that is transforming the way many complicated transportation decision-making problems are tackled. Researchers have bee…
How Fast You Can Actually Fly: A Comparative Investigation of Flight Airborne Time in China and the U.S
Ke Liu, Zhe Zheng, Bo Zou +1
Actual airborne time (AAT) is the time between wheels-off and wheels-on of a flight. Understanding the behavior of AAT is increasingly important given the ever growing demand for a…