35 citations · 63 across the 7 of their papers we have counts for
7 papers
Data-Driven Distributionally Robust Electric Vehicle Balancing for Autonomous Mobility-on-Demand Systems under Demand and Supply Uncertainties
Sihong He, Zhili Zhang, Shuo Han +5
Electric vehicles (EVs) are being rapidly adopted due to their economic and societal benefits. Autonomous mobility-on-demand (AMoD) systems also embrace this trend. However, the lo…
Data-Driven Distributionally Robust Electric Vehicle Balancing for Mobility-on-Demand Systems under Demand and Supply Uncertainties
Sihong He, Lynn Pepin, Guang Wang +2
As electric vehicle (EV) technologies become mature, EV has been rapidly adopted in modern transportation systems, and is expected to provide future autonomous mobility-on-demand (…
SPAP: Simultaneous Demand Prediction and Planning for Electric Vehicle Chargers in a New City
Yizong Wang, Dong Zhao, Yajie Ren +2
For a new city that is committed to promoting Electric Vehicles (EVs), it is significant to plan the public charging infrastructure where charging demands are high. However, it is…
VeMo: Enabling Transparent Vehicular Mobility Modeling at Individual Levels with Full Penetration
Yu Yang, Xiaoyang Xie, Zhihan Fang +3
Understanding and predicting real-time vehicle mobility patterns on highways are essential to address traffic congestion and respond to the emergency. However, almost all existing…
Experience: Understanding Long-Term Evolving Patterns of Shared Electric Vehicle Networks
Guang Wang, Xiuyuan Chen, Fan Zhang +2
Due to the ever-growing concerns on air pollution and energy security, many cities have started to update their taxi fleets with electric ones. Although environmentally friendly, t…
Taxi Dispatch with Real-Time Sensing Data in Metropolitan Areas: A Receding Horizon Control Approach
Fei Miao, Shuo Han, Shan Lin +6
Traditional taxi systems in metropolitan areas often suffer from inefficiencies due to uncoordinated actions as system capacity and customer demand change. With the pervasive deplo…
Data-Driven Robust Taxi Dispatch under Demand Uncertainties
Fei Miao, Shuo Han, Shan Lin +6
In modern taxi networks, large amounts of taxi occupancy status and location data are collected from networked in-vehicle sensors in real-time. They provide knowledge of system mod…