Future directions in human mobility science

L Pappalardo, E Manley, V Sekara… - Nature computational …, 2023 - nature.com
We provide a brief review of human mobility science and present three key areas where we
expect to see substantial advancements. We start from the mind and discuss the need to …

Too much or not enough? Planning electric vehicle charging infrastructure: A review of modeling options

MO Metais, O Jouini, Y Perez, J Berrada… - … and Sustainable Energy …, 2022 - Elsevier
While the transportation sector is responsible for a growing share of greenhouse gas
emissions, electric vehicles (EVs) offer solutions for greener mobility. The proportion of …

[HTML][HTML] Mode choice, substitution patterns and environmental impacts of shared and personal micro-mobility

DJ Reck, H Martin, KW Axhausen - Transportation Research Part D …, 2022 - Elsevier
Shared micro-mobility services are rapidly expanding yet little is known about travel
behaviour. Understanding mode choice, in particular, is quintessential for incorporating …

Microscopic traffic simulation using sumo

PA Lopez, M Behrisch, L Bieker-Walz… - 2018 21st …, 2018 - ieeexplore.ieee.org
Microscopic traffic simulation is an invaluable tool for traffic research. In recent years, both
the scope of research and the capabilities of the tools have been extended considerably …

Human trajectory forecasting in crowds: A deep learning perspective

P Kothari, S Kreiss, A Alahi - IEEE Transactions on Intelligent …, 2021 - ieeexplore.ieee.org
Since the past few decades, human trajectory forecasting has been a field of active research
owing to its numerous real-world applications: evacuation situation analysis, deployment of …

Data acquisition for urban building energy modeling: A review

C Wang, M Ferrando, F Causone, X Jin, X Zhou… - Building and …, 2022 - Elsevier
Abstract Urban Building Energy Modeling (UBEM) is essential for urban energy-related
applications. Its generation mainly requires four data inputs, including geometric data, non …

A survey of collaborative machine learning using 5G vehicular communications

SV Balkus, H Wang, BD Cornet… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
By enabling autonomous vehicles (AVs) to share data while driving, 5G vehicular
communications allow AVs to collaborate on solving common autonomous driving tasks …

Analysis and control of autonomous mobility-on-demand systems

G Zardini, N Lanzetti, M Pavone… - Annual Review of …, 2022 - annualreviews.org
Challenged by urbanization and increasing travel needs, existing transportation systems
need new mobility paradigms. In this article, we present the emerging concept of …

A paradigm shift in urban mobility: Policy insights from travel before and after COVID-19 to seize the opportunity

A Thombre, A Agarwal - Transport Policy, 2021 - Elsevier
Background COVID-19 outbreak unfolds as the biggest challenge of this century by far.
Virulence of the disease has compelled densely populated countries like India to impose …

Assessing the welfare impacts of Shared Mobility and Mobility as a Service (MaaS)

H Becker, M Balac, F Ciari, KW Axhausen - Transportation Research Part A …, 2020 - Elsevier
Abstract Mobility as a Service (MaaS) is an attempt to overcome market segmentation by
offering transport services tailored to the individual traveler's needs. An alternative to prior …