activity
20222025
most citedPrivacy-Aware Energy Consumption Modeling of Connected Battery Electric Vehicles using Federated Learning

32 citations · 75 across the 8 of their papers we have counts for

collaborators

8 papers

cs.LG2025★ 1 cited

Machine Learning in Micromobility: A Systematic Review of Datasets, Techniques, and Applications

Sen Yan, Chinmaya Kaundanya, Noel E. O'Connor +2

Micromobility systems, which include lightweight and low-speed vehicles such as bicycles, e-bikes, and e-scooters, have become an important part of urban transportation and are use…

cs.AI2024★ 5 cited

Data-driven Energy Consumption Modelling for Electric Micromobility using an Open Dataset

Yue Ding, Sen Yan, Maqsood Hussain Shah +3

The escalating challenges of traffic congestion and environmental degradation underscore the critical importance of embracing E-Mobility solutions in urban spaces. In particular, m…

cs.LG2023★ 32 cited

Privacy-Aware Energy Consumption Modeling of Connected Battery Electric Vehicles using Federated Learning

Sen Yan, Hongyuan Fang, Ji Li +3

Battery Electric Vehicles (BEVs) are increasingly significant in modern cities due to their potential to reduce air pollution. Precise and real-time estimation of energy consumptio…

cs.LG2023★ 9 cited

A Review on AI Algorithms for Energy Management in E-Mobility Services

Sen Yan, Maqsood Hussain Shah, Ji Li +2

E-mobility, or electric mobility, has emerged as a pivotal solution to address pressing environmental and sustainability concerns in the transportation sector. The depletion of fos…

physics.soc-ph2023★ 5 cited

Breathing Green: Maximising Health and Environmental Benefits for Active Transportation Users Leveraging Large Scale Air Quality Data

Sen Yan, Shaoshu Zhu, Jaime B. Fernandez +5

Pollution in urban areas can have significant adverse effects on the health and well-being of citizens, with traffic-related air pollution being a major concern in many cities. Pol…

cs.LG2023★ 1 cited

Recent Advances in Graph-based Machine Learning for Applications in Smart Urban Transportation Systems

Hongde Wu, Sen Yan, Mingming Liu

The Intelligent Transportation System (ITS) is an important part of modern transportation infrastructure, employing a combination of communication technology, information processin…

physics.soc-ph2023★ 15 cited

U-Park: A User-Centric Smart Parking Recommendation System for Electric Shared Micromobility Services

Sen Yan, Noel E. O'Connor, Mingming Liu

Electric Shared Micromobility Services (ESMS) has become a vital element within the Mobility as a Service framework, contributing to sustainable transportation systems. However, ex…

physics.soc-ph2022★ 7 cited

Parking Behaviour Analysis of Shared E-Bike Users Based on a Real-World Dataset -- A Case Study in Dublin, Ireland

Sen Yan, Mingming Liu, Noel E. O'Connor

In recent years, an increasing number of shared E-bikes have been rolling out rapidly in our cities. It therefore becomes important to understand new behaviour patterns of the cycl…