NTL Record

Title Analysis, Modeling, and Simulation (AMS) Tools for Connected and Automated Vehicle (CAV) Applications : [fact sheet]
Record ID 65565
Personal Name
Contributor
Bared, Joe G.
Corporate Creator United States. Federal Highway Administration. Office of Operations Research and Development
Corporate
Contributor
United States. Department of Transportation. Federal Highway Administration. Turner-Fairbank Highway Research Center
Publisher United States. Federal Highway Administration. Office of Operations Research and Development
Publication Date 20171201
Language English
Abstract CAV technologies offer potentially transformative societal impacts—including significant mobility, safety, and environmental benefits. The Federal Highway Administration (FHWA) has led the development, research, and standards-making of these technologies, and is currently developing deployment approaches and guidance. Deploying CAV applications require transportation agencies to quantify effectively and fully the impacts of such implementations, and to identify which application best addresses their unique transportation problem. However, current traffic analysis and planning tools are not well suited for evaluating CAV applications because of their inability to incorporate vehicle connectivity and automated features. It is necessary to adapt and re-engineer the existing set of tools available to agencies, validate these models/ tools, and provide a mechanism to share these models/tools with public agencies. To this end, FHWA initiated an effort to develop AMS tools for CAV applications and to conduct realistic case studies with these tools to help inform implementation and estimation of benefits.
Rosap ID dot:37588
Rosap URL https://rosap.ntl.bts.gov/view/dot/37588
TRT Terms Automated vehicle control; Analysis; Simulation
Geographical
Coverage
United States
Report Number FHWA-HRT-18-026; HRDO-20/12-17(200)E
Resource type Tech Report
URL https://ntlrepository.blob.core.windows.net/lib/65000/65500/65565/FHWA-HRT-18-026.pdf
Format PDF
Database NTL Digital Repository