摘要: |
How can the new capabilities of intelligent vehicles and highway infrastructure be used to reduce congestion and effectively increase highway capacity? This question is the focus of an Exploratory Advanced Research (EAR) Program project launched by the Federal Highway Administration (FHWA) in 2007. Researchers at the Partners for Advanced Transit and Highways (PATH) program of the University of California, Berkeley, are conducting the 3-year project in cooperation with Caltrans. The ability to modulate the speed and spacing of individual vehicles in relation to unseen events further downstream has tremendous potential to keep traffic flowing smoothly, safely, and at its optimum density. With the dedicated short-range communication system being developed under IntelliDrive (previously the Vehicle-Infrastructure Integration or VII initiative), such long-range traffic management opportunities are now conceivable. This EAR project is modeling, testing, and demonstrating prototype systems in three areas: (1) Improving traffic flow by calculating and communicating speed guidance directly to individual drivers. (2) Achieving closer coordination, shorter vehicle separation gaps, and higher effective lane capacities through vehicle-vehicle communication, vehicle-infrastructure communication (VIC), and cooperative adaptive cruise control (CACC). (3) Improving heavy-truck fuel consumption and doubling the capacity of truck-only lanes by forming and maneuvering automated three-truck platoons. |