01590735

Component

https://doi.org/10.3141/2548-08

Efficient freight movement is inextricably linked to the economic vitality of a local area, the state, and beyond. In light of performance-based programs at the national level, there is increased interest in freight performance monitoring and methods for gaining a better understanding of the freight system for investment decisions. Public agencies in the State of Maryland are leaders in investigating freight traffic and trends for improved public investment. Implementing freight fluidity is a natural next step to understanding better the state’s freight investment needs. This paper describes the freight fluidity concept and how this concept will be implemented in Maryland. The paper documents work sponsored by the Maryland Department of Transportation State Highway Administration and performed by the Texas A&M Transportation Institute through the University of Maryland Center for Advanced Transportation Technology. This paper presents a definition of freight fluidity for the State of Maryland, provides a framework for implementing freight fluidity, describes multimodal data sources, and presents calculation procedures for the highway (truck mode). The application described here was successful in demonstrating freight fluidity use in Maryland. Researchers demonstrated the value of the freight fluidity methods for freight investments and decision making in Maryland. Given increased interest in implementing freight fluidity in the United States, the framework and methods described here would be valuable to transportation professionals investigating ways to implement freight fluidity in their local area, state, or region, or even globally.

01607615

16-1897

English

pp 62–70

2016

Transportation Research Record: Journal of the Transportation Research Board

9780309369817

Print

Figures (2) ; References (14) ; Tables (8)

Capital investments; Decision making; Freight traffic

Maryland

Freight Transportation; Planning and Forecasting; Terminals and Facilities; I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Jan 12 2016 4:49PM

• Dynamic Model for System-Level Strategic Intermodal Facility Investment Planning
• Dynamic Programming Model for Attended Delivery Time Slot Management
• Effects of Public and Private Investments in Intelligent Transportation Systems on Freight Movement Outcomes
• Estimation of an Origin–Destination Table for U.S. Imports of Waterborne Containerized Freight
• Food Rescue and Delivery: Heuristic Algorithm for Periodic Unpaired Pickup and Delivery Vehicle Routing Problem
• General Metaheuristic Algorithm for a Set of Rich Vehicle Routing Problems
• Routing Model for Multicommodity Freight in an Intermodal Network Under Disruptions
• Schedule Coordination, Delay Propagation, and Disruption Resilience in Intermodal Logistics Networks
• Sequential Auto Carrier Loading Problem
• Truck Appointment Systems: Where We Are and Where to Go from Here
• Truck Fleet of Northern Plains Grain Farms