ITS Berkeley

Independent and Interactive Association of Reported Impairment in Fatal Crashes Among Young California Drivers: A Cross-Sectional Analysis

Lotito, Ainsley
Vaca, Federico E.
Li, Melody S.
Hu, Siwei
Hill, Linda
Julia Griswold
Li, Kaigang
2026

Objective
To examine the independent and combined associations of reported alcohol, drug, and fatigue involvement with crash fatality among young drivers in California.
Methods
Using 2016-2024 injury crash data from the University of California, Berkeley Transportation Injury Mapping System, we performed logistic regression to examine the association between reported driver impairment and crash fatality among drivers aged 15-24. Additive interaction was assessed using binary impairment indicators and interaction terms. Relative excess risk due to interaction (RERI) and 95%...

Hybrid Work and the Restructuring of Urban Mobility in U.S. Cities

Chen, Baoqi Eileen
Marta Gonzalez
2026

Entering the post-pandemic era, cities navigate a new normal shaped by hybrid work and space-time flexibility, but existing evidence is spatially scattered and temporally limited. Here we develop an analytical approach that examines this reorganization through three dimensions: remote work adoption via sector composition, daily travel behavior via trip-level metrics, and functional urban form via mobility-derived measures. To capture the interplay of urban dynamics, we synthesize three complementary spatial metrics. In particular, coupling overall trip centrality with work-trip...

Accountability to God, We the People and local government activism in rural Shasta County, California

Karen Trapenberg Frick
2026

Political polarization is increasing globally through the rise of national actors further to the political right who often invoke faith-based values. In the United States, they argue for defending God-given unalienable rights and stewarding God's Kingdom on Earth. Local government increasingly is the locus of so-framed debates on policies from school curriculum to immigration and vaccination requirements. Efforts to reflect religious/faith-based beliefs in policies challenge the role of governance and are antithetical to decision making where separation between church/faith-based...

FlowATC: Aircraft Trajectory Prediction via Flow Matching

Petit, Mathurin
Torun, Emir
Brusset, Louis
Kam, Jordan
Alexandre Bayen
2026

Building accurate decision-support tools for next-generation air traffic control requires robust trajectory prediction models. We present a flow-matching architecture trained exclusively on historical aircraft trajectories, with no route labels or chart supervision. Trained on 1.15 million Automatic Dependent Surveillance-Broadcast trajectory windows collected over the San Francisco Bay Area, the model generates aircraft trajectory distributions that closely match historical traffic, reproducing known airspace structure around San Francisco Airport such as the shape of SFO's published...

Probe Sets for Nonlinear Kalman Filtering: Multi-Center Gains and Covariance Recalibration

Jiang, Shida
Tao, Shengyu
Scott Moura
2026

Kalman filters (KFs) choose the gain as the product of the state--measurement cross-covariance and the inverse of the innovation covariance. In nonlinear systems, the predictive distribution generally changes shape, and these covariances require approximation. Conventional nonlinear KFs approximate them around a single center, the predicted state. They can produce inaccurate gains and overconfident covariance estimates when one local approximation does not represent the measurement geometry across the uncertainty region. To address this issue, we introduce probe sets, small covariance-...

V2TATC: Joint Voice-Trajectory Embedding and Dataset for Air Traffic Controller Situational Awareness

Brusset, Louis
Petit, Mathurin
Kam, Jordan
Alexandre Bayen
2026

As air traffic volumes in the National Airspace System continue to expand, in particular at low altitude, the need for scalable decision support tools used by air traffic controllers will also require more development. This article introduces Voice-to-Trajectory for Air Traffic Control, a joint voice communication-flight trajectory data embedding framework, that can be a component of situational awareness in congested airspaces, and assist the development of tools for ATC as they reason in real-time over Automatic Dependent Surveillance-Broadcast trajectories, or the intent expressed by...

Employing Area Under the Curve (AUC) to Reduce Many Repeated Measures into Single Variables for Analysis: A Simulation Study

Daniel Rodriguez
2026

Background: The proliferation of fitness apps and wearable technology provides researchers interested in health and fitness with vast opportunities to test hypotheses involving a continuous stream of data collected on individual research participants in real-world settings. Although there are a variety of methods available to analyze such repeated measures data, one method that may benefit researchers in these endeavors is Area Under the Curve (AUC). To our knowledge, AUC has yet to be assessed for efficacy with many repeated measures collected from fitness apps. As such, the purpose of...

Modeling the Travel Effects of Telework and Hybrid Work: Reshaping Duration, Distance, and Timing of Non-work Travel

Hamad, Nadim
Tahlyan, Divyakant
Said, Maher
Susan Shaheen
Joan Walker
Mahmassani, Hani
Stathopoulos, Amanda
2026

Telework has historically been framed as a means to reduce traffic congestion and alleviate the environmental and energy use impact of transportation. The COVID-19 pandemic precipitated a rapid and widespread shift to remote work, triggering a broad set of interconnected changes in travel behavior that extend well beyond commuting and continue to reshape daily activity patterns. In the contemporary labor market, hybrid work models have gained varied degrees of acceptance by employers and employees, prompting renewed interest in understanding their broader implications for individual...

Disentangling Associations Between Vegetation Greenness and Dengue in a Latin American City: Findings and Challenges

Dronova, I
Ribeiro, S
Bruhn, F
Sales, D
Schultes, O
Daniel Rodriguez
Cunha, M
Lima, L
Caiffa, W
Morais, MHF
Ju, Y
2021

Being a Re-emerging Infectious Disease, dengue causes 390 million cases globally and is prevalent in many urban areas in South America. Understanding the fine-scale relationships between dengue incidence and environmental and socioeconomic factors can guide improved dieses prevention strategies. This ecological study examine the association between dengue incidence and satellite-based vegetation greenness in 3826 census tracts nest in 474 neighborhoods in Belo Horizonte, Brazil during the 2010 dengue epidemic.

Estimating Hybrid Choice Models with Biogeme

Bierlaire, Michel
Ben-Akiva, Moshe
Joan Walker
2026

The literature on discrete choice models with latent variables is vast (Walker, 2001, Ashok et al., 2002, Greene and Hensher, 2003, Ben-Akiva, Walker, Bernardino, Gopinath, Morikawa and Polydoropoulou, 2002, Ben-Akiva et al., 2002, to cite just a few early references). This document presents a practical introduction to the specification and estimation of hybrid choice models using Biogeme. It introduces the main concepts and notation underlying these models, discusses the associated normalization issues, and illustrates their implementation through a sequence of progressively richer...