26 citations · 34 across the 11 of their papers we have counts for
13 papers
Optimal Design and Implementation of an Open-source Emulation Platform for User-Centric Shared E-mobility Services
Maqsood Hussain Shah, Yue Ding, Shaoshu Zhu +2
With the rising concern over transportation emissions and pollution on a global scale, shared electric mobility services like E-cars, E-bikes, and E-scooters have emerged as promis…
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…
An Intelligent Multi-Speed Advisory System using Improved Whale Optimisation Algorithm
Beiran Chen, Mingming Liu, Yi Zhang +3
An intelligent speed advisory system can be used to recommend speed for vehicles travelling in a given road network in cities. In this paper, we extend our previous work where a di…
MPC-CSAS: Multi-Party Computation for Real-time Privacy-preserving Speed Advisory Systems
Mingming Liu, Long Cheng, Yingqi Gu +3
As a part of Advanced Driver Assistance Systems (ADASs), Consensus-based Speed Advisory Systems (CSAS) have been proposed to recommend a common speed to a group of vehicles for spe…
Predicting Injectable Medication Adherence via a Smart Sharps Bin and Machine Learning
Yingqi Gu, Akshay Zalkikar, Lara Kelly +2
Medication non-adherence is a widespread problem affecting over 50% of people who have chronic illness and need chronic treatment. Non-adherence exacerbates health risks and drives…
A Fair and Privacy-Aware EV Discharging Strategy using Decentralized Whale Optimization Algorithm for Minimizing Cost of EVs and the EV Aggregator
Yingqi Gu, Mingming Liu
A key motivation to fasten roll-out of electric vehicles (EVs) to the market is to implement Vehicle-to-Grid (V2G) functionalities. With V2G in place, EV owners can have extra free…
Bayesian Classifier for Route Prediction with Markov Chains
Jonathan P. Epperlein, Julien Monteil, Mingming Liu +3
We present here a general framework and a specific algorithm for predicting the destination, route, or more generally a pattern, of an ongoing journey, building on the recent work…
On the Design of an Intelligent Speed Advisory System for Cyclists
Yingqi Gu, Mingming Liu, Matheus Souza +1
Traffic-related pollution is becoming a major societal problem globally. Cyclists are particularly exposed to this form of pollution due to their proximity to vehicles' tailpipes.…
A Hidden Markov Model for Route and Destination Prediction
Yassine Lassoued, Julien Monteil, Yingqi Gu +3
We present a simple model and algorithm for predicting driver destinations and routes, based on the input of the latest road links visited as part of an ongoing trip. The algorithm…
Pedestrian-Aware Engine Management Strategies for Plug-in Hybrid Electric Vehicles
Yingqi Gu, Mingming Liu, Joe Naoum-Sawaya +3
Electric Vehicles (EVs) and Plug-in Hybrid Electric Vehicles (PHEVs) are increasingly being seen as a means of mitigating the pressing concerns of traffic-related pollution. While…
Smart Procurement of Naturally Generated Energy (SPONGE) for Plug-in Hybrid Electric Buses
Joe Naoum-Sawaya, Emanuele Crisostomi, Mingming Liu +2
We discuss a recently introduced ECO-driving concept known as SPONGE in the context of Plug-in Hybrid Electric Buses (PHEB)'s.Examples are given to illustrate the benefits of this…
A Distributed and Privacy-Aware Speed Advisory System for Optimising Conventional and Electric Vehicles Networks
Mingming Liu, Rodrigo H. Ordóñez-Hurtado, Fabian Wirth +3
One of the key ideas to make Intelligent Transportation Systems (ITS) work effectively is to deploy advanced communication and cooperative control technologies among the vehicles a…
Smart Procurement Of Naturally Generated Energy (SPONGE) for PHEV's
Florian Häusler, Emanuele Crisostomi, Ilja Radusch +1
In this paper we propose a new engine management system for hybrid vehicles to enable energy providers and car manufacturers to provide new services. Energy forecasts are used to c…