[HTML][HTML] Dynamic Adaptive Charging Network Planning Under Deep Uncertainties

E Saqib, G Gidófalvi - Energies, 2024 - mdpi.com
Charging infrastructure is the backbone of electromobility. Due to new charging behaviors
and power distribution and charging space constraints, the energy demand and supply …

[HTML][HTML] Towards the electrification of freight transport: A network design model for assessing the adoption of eHighways

A Colovic, M Marinelli, M Ottomanelli - Transport Policy, 2024 - Elsevier
The development of new technological innovations for eco-friendly vehicles combined with
the usage of renewable energy sources is essential for mitigating the environmental impact …

Improving Operational Efficiency In EV Ridepooling Fleets By Predictive Exploitation of Idle Times

JC Provoost, A Kamilaris, G Gidófalvi… - arXiv preprint arXiv …, 2022 - arxiv.org
In ridepooling systems with electric fleets, charging is a complex decision-making process.
Most electric vehicle (EV) taxi services require drivers to make egoistic decisions, leading to …

[HTML][HTML] Effective Spatial Decision Support for Charging Infrastructure Planning

E Saqib - 2024 - diva-portal.org
The transition to electrified road transportation is crucial for achieving sustainability goals
and reducing greenhouse gas emissions. However, therapid adoption of battery electric …

[PDF][PDF] Trajectory and Mobility Based Services: A Research Agenda

G Gidofalvi - LBS 2019; Adjunct Proceedings of the 15th …, 2019 - zora.uzh.ch
In light of the definition of-and research agendas for Location Based Services (LBS), this
paper first defines Trajectory-and Mobility Based Services (TBS and MBS) which place the …

Improving Operational Efficiency In EV Ridesharing Fleets By Predictive Exploitation of Idle Times

JC Provoost - 2021 - essay.utwente.nl
In dynamic ridesharing systems which are operated with an electric fleet, charging is an
essential but complex decision-making process. Most contemporary electric vehicle (EV) taxi …