NTL Record

Title Saxton Transportation Operations Laboratory : driving future highways
Record ID 61516
Corporate Creator United States. Federal Highway Administration. Saxton Transportation Operations Laboratory; Turner-Fairbank Highway Research Center. Office of Engineering Research and Delevopment
Corporate
Contributor
United States. Federal Highway Administration. Office of Operations Research and Development
Publisher United States. Federal Highway Administration. Office of Operations Research and Development
Publication Date 20170000
Language English
Abstract The Saxton Laboratory is supplementing the Office of Operations R&D’s connected automation research program, which includes an initial focus on applications that use longitudinal control, with active driver engagement and advisory information, to improve transportation operations. The Saxton Laboratory develops, assesses, and tests advanced concepts using experimental vehicles at test tracks and, in some cases, on operating roadways. Recent projects include cooperative adaptive cruise control (CACC), speed harmonization, cooperative lane change and merge, as well as Eco-Approach and departure from signalized intersections. Further research is needed to understand how lateral control could enable cooperative lane changes and merging, achieve better lane balancing in congested traffic, and allow significantly narrower lanes and other geometric changes to increase efficiencies in building and operating roadways.
Rosap ID dot:35806
Rosap URL https://rosap.ntl.bts.gov/view/dot/35806
TRT Terms Highway engineering; Highways; Laboratories; Intelligent vehicles; Experimental roads; Test tracks; Experimental vehicles
General Subjects Saxton Transportation Operations Laboratory: Highway research; Connected vehicles
Geographical
Coverage
United States
Report Number Publication No. FHWA-HRT-17-031; HRDO-10-01/17(200)E
Availability Federal Highway Administration
Resource type Tech Report
URL https://ntlrepository.blob.core.windows.net/lib/61000/61500/61516/17031.pdf
Format PDF
Database NTL Digital Repository