2026-09-25

96 journals· 282 candidates — 2 worth your time· 52 without an open abstract

no arXiv arXiv answered and returned nothing this day, so this issue covers the rest. The papers below are real — what is missing is the other half of the scope, not the reading.

Headline

Lane-changing behavior in mixed traffic, modeled using game theory

Today, together

tag shift
no tag ran above its 30-day average
shares references
no items share references today counted over the 2 papers published above
on the same shoulders
no foundation work was cited by four of the day's papers counted over the 52 of this day's 54 named papers whose reference lists we have — standing on the same older work is not the same as being about the same thing
first appearance
no institution here was new to the last 105 days none of them on a paper we published in the 105 days before this issue

Two counts, not one counted twice: every row here but “on the same shoulders” counts the papers published above, and that one counts every paper this day named — those and the ones under Also published today, whose abstracts we could not read.

datapublished: Transportation Research Part C Emerging Technologies

Sungyong Chung, Alireza Talebpour, Samer H. Hamdar
Transportation Research Part C Emerging Technologies · was arXiv

Traffic control and management · Autonomous Vehicle Technology and Safety · Traffic and Road Safety

Characterizing lane-changing behavior in mixed traffic

This study analyzed 7,636 lane-changing events from the Waymo Open Motion Dataset using a game-theoretic framework to model interactions between active lane-changing vehicles and passive target-lane vehicles. Using k-means clustering and a quantal response equilibrium framework, the researchers classified vehicle behaviors as cooperative or defective and constructed empirical payoff tables. The analysis revealed that social dilemmas occur in 4% of active and 11% of passive lane-changing scenarios, primarily manifesting as Stag Hunt or Prisoner's Dilemma games.

Why it matters — It demonstrates that automated vehicles exhibit higher rates of cooperative behavior than human-driven vehicles in both active and passive lane-changing roles, and proves through simulations that repeated traffic interactions drive long-term cooperation regardless of automated vehicle market penetration.

Caveat: The findings are based on trajectory data from a single curated autonomous vehicle dataset, which may not fully represent the diverse driving cultures and conditions of general mixed traffic.

Transportation Research Part C Emerging Technologies · doi

published: Cities

Karen Trapenberg Frick
Cities

University of California, Berkeley

Religious Tourism and Spaces · Religion, Society, and Development · Urban Planning and Governance · University of California, Berkeley

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

This study analyzes conservative, faith-fueled local activism in rural Shasta County, California, using a new conceptual framework that integrates religious studies, populism, social movement theory, and planning scholarship. Drawing on in-depth interviews with right-leaning Christian residents and field observations, the research documents how activists engage in local policymaking, establish alternative news and educational ecosystems, and assert that rights originate from God rather than government.

Why it matters — It provides a rare empirical look at how religious nationalism and right-wing polarization directly reshape local governance and planning, offering a framework to understand activism that rejects traditional secular norms of state decision-making.

Caveat: The findings are based on a single-case study of one rural county in Northern California, which may limit direct generalizability to urban areas or regions with different political dynamics.

Cities · doi

Also published today

These appeared today in journals we track. Their abstracts are not openly available, so we cannot summarise them.