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Advanced Air Mobility encompasses emerging aviation technologies that transport people and cargo between local, regional, or urban locations that are currently underserved by aviation and other transportation modalities. The disruptive…

Physics and Society · Physics 2024-04-03 Luis E. Alvarez , James Jones , Austin Bryan , Andrew Weinert

Understanding travel demand and behavior, particularly route and mode choices, is critical for effective transportation planning and policy design in multi-modal systems with emerging mobility options. Multi-modal system-level data, such as…

Systems and Control · Electrical Eng. & Systems 2026-03-04 Xiaoyu Ma , Sean Qian

An essential consideration in urban transit facility planning is service efficiency and accessibility. Previous research has shown that reducing the number of facilities along a route may increase efficiency but decrease accessibility.…

Optimization and Control · Mathematics 2022-10-25 Einar Gabbassov

Travel time estimation is a critical task, useful to many urban applications at the individual citizen and the stakeholder level. This paper presents a novel hybrid algorithm for travel time estimation that leverages historical and sparse…

Machine Learning · Computer Science 2023-01-16 Nikolaos Zygouras , Nikolaos Panagiotou , Yang Li , Dimitrios Gunopulos , Leonidas Guibas

Extreme weather events epitomize high cost: to society through their physical impacts, and to computer servers that simulate them to assess risk and advance physical understanding. It costs hundreds of simulation years to sample a few…

Atmospheric and Oceanic Physics · Physics 2026-04-14 Justin Finkel , Paul A. O'Gorman

We present a unified framework to simulate heat and mass transport in systems of particles. The proposed framework is based on kinematic mean field theory and uses a phenomenological master equation to compute effective transport rates…

Computational Physics · Physics 2018-04-04 M. Ponga , D. Sun

Given an increasingly volatile climate, the relationship between weather and transit ridership has drawn increasing interest. However, challenges stemming from spatio-temporal dependency and non-stationarity have not been fully addressed in…

Applications · Statistics 2022-04-22 Francisco Rowe , Michael Mahony , Sui Tao

This work considers the sensitivity of commute travel times in US metro areas due to potential changes in commute patterns, for example caused by events such as pandemics. Permanent shifts away from transit and carpooling can add vehicles…

Physics and Society · Physics 2023-03-03 Yue Hu , William Barbour , Kun Qian , Christian Claudel , Samitha Samaranayake , Daniel B. Work

High temperatures are associated with adverse respiratory health outcomes and increases in ambient air pollution. Limited research has quantified air pollution's mediating role in the relationship between temperature and respiratory…

Applications · Statistics 2026-02-20 Chen Li , Thomas W. Hsiao , Stefanie Ebelt , Rebecca H. Zhang , Howard H. Chang

Multistability is a phenomenon prevalent in many natural systems. In climate, for example, it allows the possibility of irreversible consequences on planetary scale as a result of climate change. Indeed, a climate ``tipping element'' is a…

Atmospheric and Oceanic Physics · Physics 2026-04-14 George Datseris , Johannes Lohmann , Oisín Hamilton , Jacob Haqq-Misra

Advanced driving assistance systems (ADAS) are primarily designed to increase driving safety and reduce traffic congestion without paying too much attention to passenger comfort or motion sickness. However, in view of autonomous cars, and…

We propose a novel approach for trip prediction by analyzing user's trip histories. We augment users' (self-) trip histories by adding 'similar' trips from other users, which could be informative and useful for predicting future trips for a…

Artificial Intelligence · Computer Science 2023-01-02 Yuxin Chen , Morteza Haghir Chehreghani

In this study, we develop a novel framework to assess health risks due to heat hazards across various localities (zip codes) across the state of Maryland with the help of two commonly used indicators i.e. exposure and vulnerability. Our…

Machine Learning · Computer Science 2023-10-24 Akshay Bansal , Ayda Kianmehr

Even before the start of the COVID-19 pandemic, bus ridership in the United States had attained its lowest level since 1973. If transit agencies hope to reverse this trend, they must understand how their service allocation policies affect…

Physics and Society · Physics 2021-04-13 Simon Berrebi , Sanskruti Joshi , Kari E Watkins

Several researchers have focused on studying driver cognitive behavior and mental load for in-vehicle interaction while driving. Adaptive interfaces that vary with mental and perceptual load levels could help in reducing accidents and…

Human-Computer Interaction · Computer Science 2022-09-30 Amr Gomaa , Alexandra Alles , Elena Meiser , Lydia Helene Rupp , Marco Molz , Guillermo Reyes

Excess or wasteful commuting is measured as the proportion of actual commute that is over minimum (optimal) commute when assuming that people could freely swap their homes and jobs in a city. Studies usually rely on survey data to define…

Physics and Society · Physics 2020-06-03 Yujie Hu , Fahui Wang

Volatile driving, characterized by fluctuations in speed and accelerations and aggressive lane changing/merging, is known to contribute to transportation crashes. To fully understand driving volatility with the intention of reducing it, the…

Applications · Statistics 2018-07-24 Mohsen Kamrani , Ramin Arvin , Asad J. Khattak

In today's highly urbanized environment, the Urban Heat Island (UHI) phenomenon is increasingly prevalent where surface temperatures in urbanized areas are found to be much higher than surrounding rural areas. Excessive levels of heat…

Social and Information Networks · Computer Science 2020-12-08 Marcus Yong , Kwan Hui Lim

Public transit passengers need guidance during service disruptions. This study proposes an individual-based path (IPR) recommendation model. The model decides which paths to recommend for each passenger with the objective of minimizing…

Optimization and Control · Mathematics 2025-07-08 Baichuan Mo , Haris N. Koutsopoulos , Zuo-Jun Max Shen , Jinhua Zhao

Climate change is leading to an increase in extreme weather events, causing significant environmental damage and loss of life. Early detection of such events is essential for improving disaster response. In this work, we propose…

Computer Vision and Pattern Recognition · Computer Science 2025-06-16 Heng Fang , Hossein Azizpour