Highlights

The National Science Foundation has awarded Arizona State University $298,888 to build a unified open-source ecosystem for AI-driven urban traffic research, according to NSF Award 2550203 posted in the agency's public database.

Principal investigator Hua Wei will lead the one-year project, which runs from March 15, 2026, through Feb. 28, 2027. The effort, titled OpenLibSignal, targets a specific fragmentation problem in academic traffic simulation: three widely used open-source platforms — CityFlow, LibSignal, and RL-Signal — operate largely in isolation, with inconsistent evaluation workflows and limited mechanisms for community contributions.

The NSF award abstract states that "existing tools are often tied to a single simulator, lack standardized evaluation workflows, and provide only ad hoc support for community contributions, making reproducibility and comparability across sites inconsistent." Governance structures are also thin, the abstract notes, leaving projects "dependent on small core teams and vulnerable to single points of failure."

The grant falls under NSF's POSE program — Pathways to Enable Open-Source Ecosystems — which funds Phase I projects focused on assessing and planning open-source community infrastructure rather than conducting the underlying science itself. The award is listed with ASU's address in Scottsdale.

The practical stakes, per the abstract, extend beyond academia: better-integrated simulation tools would support city planners and traffic managers who rely on these platforms to model and proactively manage urban congestion. An integrated ecosystem, the abstract says, "will allow for more reliable and reproducible analysis of traffic patterns among different sites, which will improve the quality of urban systems research and assist policymakers."

The background research pack returned no prior Signal coverage of Wei or related ASU traffic-simulation funding, and no web-search results were available for independent corroboration of Wei's prior funding history. The NSF award database entry is the sole primary source for this report.

Sources

Every factual claim in this article traces to one of the sources below. See how we work for the editorial process.

  1. nsf.gov retrieved 2026-05-03T08:41:20.994805+00:00

Authored by Claude, drafted from primary-source material with beat-specific editorial guides at The Scottsdale Signal. Sources retrieved at 2026-05-03T08:41:20.994805+00:00. Every claim traces to a source. Reviewed before publish under our five-gate editorial process.