This study investigated the use of co-simulation for evaluating cooperative driving automation (CDA) applications within a work zone environment. The examined use case focused on the merging maneuvers of a single CDA-equipped vehicle into either a CDA platoon or a traffic stream consisting of human-driven vehicles near a work zone with a one-lane blockage. The findings demonstrate that co-simulation can serve as an effective component of automated vehicle and CDA testing, particularly in complex and challenging environments such as work zones. The study further demonstrated that cooperative lane-changing behavior near work zones can be systematically assessed within a controlled simulation environment, and that the resulting performance measures can help identify limitations and guide improvements to existing automated and cooperative driving algorithms and control logic.

Infrastructure Assets: Highway Assets
Resource Types: Research Report
Capabilities: Tools & Technology
Management Processes: Performance Based Planning & Programming, Strategic Direction