A unified dataset for the city-scale traffic assignment model in 20 U.S. cities.

ABSTRACT: City-scale traffic data, such as traffic flow, speed, and density on every road segment, are the foundation of modern urban research. However, accessing such data on a city scale is challenging due to the limited number of sensors and privacy concerns. Consequently, most of the existing traffic datasets are typically limited to small, specific urban areas with incomplete data types, hindering the research in urban studies, such as transportation, environment, and energy fields. It still lacks a city-scale traffic dataset with comprehensive data types and satisfactory quality that can be publicly available across cities. To address this issue, we propose a unified approach for producing city-scale traffic data using the classic traffic assignment model in transportation studies. Specificall

SUBMITTER: Xu X 

PROVIDER: S-EPMC10980787 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature