40 citations · 66 across the 8 of their papers we have counts for
8 papers
Coordinating Guidance, Matching, and Charging Station Selection for Electric Vehicle Ride-Hailing Services through Data-Driven Stochastic Optimization
Xiaoming Li, Chun Wang, Xiao Huang
Electric vehicles (EVs) play a pivotal role in sustainable ride-hailing services primarily due to their potential in reducing carbon emissions and enhancing environmental protectio…
XRMDN: An Extended Recurrent Mixture Density Network for Short-Term Probabilistic Rider Demand Forecasting with High Volatility
Xiaoming Li, Hubert Normandin-Taillon, Chun Wang +1
In the realm of Mobility-on-Demand (MoD) systems, the forecasting of rider demand is a cornerstone for operational decision-making and system optimization. Traditional forecasting…
ODT FLOW: A Scalable Platform for Extracting, Analyzing, and Sharing Multi-source Multi-scale Human Mobility
Zhenlong Li, Xiao Huang, Tao Hu +3
In response to the soaring needs of human mobility data, especially during disaster events such as the COVID-19 pandemic, and the associated big data challenges, we develop a scala…
Measuring Global Multi-Scale Place Connectivity using Geotagged Social Media Data
Zhenlong Li, Xiao Huang, Xinyue Ye +5
Shaped by human movement, place connectivity is quantified by the strength of spatial interactions among locations. For decades, spatial scientists have researched place connectivi…
ODT Flow Explorer: Extract, Query, and Visualize Human Mobility
Zhenlong Li, Xiao Huang, Xinyue Ye +1
Understanding human mobility dynamics among places provides fundamental knowledge regarding their interactive gravity, benefiting a wide range of applications in need of prior know…
A GRU-based Mixture Density Network for Data-Driven Dynamic Stochastic Programming
Xiaoming Li, Chun Wang, Xiao Huang +1
The conventional deep learning approaches for solving time-series problem such as long-short term memory (LSTM) and gated recurrent unit (GRU) both consider the time-series data se…
Twitter, human mobility, and COVID-19
Xiao Huang, Zhenlong Li, Yuqin Jiang +2
The outbreak of COVID-19 highlights the need for a more harmonized, less privacy-concerning, easily accessible approach to monitoring the human mobility that has been proved to be…
A Two-Stage Stochastic Programming Model for Car-Sharing Problem using Kernel Density Estimation
Xiaoming Li, Chun Wang, Xiao Huang
Car-sharing problem is a popular research field in sharing economy. In this paper, we investigate the car-sharing re-balancing problem under uncertain demands. An innovative framew…