2 citations · 4 across the 7 of their papers we have counts for
7 papers
Designing optimal subsidy schemes and recycling plans for sustainable treatment of construction and demolition waste
Lei Yu, Qian Ge, Ke Han +2
More than 10 billion tons of construction and demolition waste (CW) are generated globally each year, exerting a significant impact on the environment. In the CW recycling process,…
Integrating optimal ridesharing matching into multimodal traffic model: Implications for policy and sustainable transport system
Yueqi Liu, Ke Han, Zhuoqian Yang +2
Integrating ridesharing matching explicitly into multimodal traffic models is crucial for accurately assessing the impacts of multimodal transport (MT) on urban economic and enviro…
Enhancing the sensing power of bike-sharing system for urban environment
Wen Ji, Ke Han, Qi Hao +2
The development of smart cities requires innovative sensing solutions for efficient and low-cost urban environment monitoring. Bike-sharing systems, with their wide coverage, flexi…
Fine-gained air quality inference based on low-quality sensing data using self-supervised learning
Meng Xu, Ke Han, Weijian Hu +1
Fine-grained air quality (AQ) mapping is made possible by the proliferation of cheap AQ micro-stations (MSs). However, their measurements are often inaccurate and sensitive to loca…
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…
A survey of urban drive-by sensing: An optimization perspective
Wen Ji, Ke Han, Tao Liu
Pervasive and mobile sensing is an integral part of smart transport and smart city applications. Vehicle-based mobile sensing, or drive-by sensing (DS), is gaining popularity in bo…