1 citations · 1 across the 4 of their papers we have counts for
4 papers
Internalizing sensing externality via matching and pricing for drive-by sensing taxi fleets
Binzhou Yang, Ke Han, Shenglin Liu +1
Drive-by sensing is a promising data collection paradigm that leverages the mobilities of vehicles to survey urban environments at low costs, contributing to the positive externali…
Mechanism design for coordinating vehicle-based mobile sensing tasks within the ride-hailing platform
Shenglin Liu, Qian Ge, Ke Han +2
This paper evaluates the benefit of integrating vehicle-based mobile crowd-sensing tasks into the ride-hailing system through the collaboration between the data user and the ride-h…
The Share-a-Ride Problem with mixed ride-hailing and logistic vehicles
Wen Ji, Shenglin Liu, Ke Han +1
This study explores the potential of using ride-hailing vehicles (RVs) for integrated passenger and freight transport based on shared mobility. In this crowd-sourced mode, ride-hai…
Exploring the sensing power of mixed vehicle fleets
Ke Han, Wen Ji, Yu +3
Vehicle-based mobile sensing, also known as drive-by sensing, efficiently surveys urban environments at low costs by leveraging the mobility of urban vehicles. While recent studies…