Cooperative Driving Automation: Research into Automated Port Operations and Automated Commercial Motor Vehicle Operations: Concept of Operations for Enhanced Automated Port Drayage
-
2022-03-01
-
Details:
-
Creators:
-
Corporate Creators:
-
Corporate Contributors:
-
Subject/TRT Terms:
-
Publication/ Report Number:
-
Resource Type:
-
Geographical Coverage:
-
Edition:Concept of Operations, November 2019–March 2022
-
Contracting Officer:
-
Corporate Publisher:
-
Abstract:The Federal Highway Administration (FHWA) Office of Safety and Operations Research and Development (HRSO) performs transportation operations research and development (R&D) at the Saxton Transportation Operations Laboratory (STOL), established at the Turner-Fairbank Highway Research Center (TFHRC). In support of common goals, the Federal Motor Carrier Safety Administration (FMCSA) and the Maritime Administration (MARAD) have partnered with FHWA and STOL to explore the application of cooperative automation to Commercial Motor Vehicle (CMV) operations. Four CMVs have been equipped with automation technologies, including CARMA, to enable a SAE Level 2-3 operation, furthering the research opportunities and capabilities available to FMCSA, MARAD, and the government. The purpose of this task is to leverage cooperative driving automation for port drayage operation which involves interaction of a commercial motor vehicle (CMV) with a container terminal’s infrastructure to perform loading and unloading of containers, inspection, and passage through port and staging area gates. This document describes the concept of operations for an enhanced automated port drayage use case tailored for the APM terminal in Mobile, AL. A detailed discussion is given of the required changes and associated benefits to enable the proposed concept. Finally, a detailed discussion of the needs and requirements to implement the proposed changes for automated port drayage operation at APM terminal is outlined.
-
Format:
-
Funding:
-
Collection(s):
-
Main Document Checksum:
-
Download URL:
-
File Type: