3 citations · 9 across the 5 of their papers we have counts for
5 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…
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…
DDKSP: A Data-Driven Stochastic Programming Framework for Car-Sharing Relocation Problem
Xiaoming Li, Chun Wang, Xiao Huang
Car-sharing issue is a popular research field in sharing economy. In this paper, we investigate the car-sharing relocation problem (CSRP) under uncertain demands. Normally, the rea…
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…