01554420

Component

Freight movement complexity and a lack of truck trip data limits freight modelling’s practicality and application. Most publicly available truck movement data is reported at higher geographical levels than detailed analysis and modelling require. The current Freight Analysis Framework (FAF) provides freight data based on the Commodity Flow Survey (CFS) conducted every five years with commercial vehicle data collected from state departments of transportation (DOT) and other proprietary data sources. Commercially available commodity flow databases (e.g., Global Insight’s TRANSEARCH) are excessively expensive, and this data set also provides aggregate information on commodity shipments between selected major cities. However, this data set provides limited information on shipments into smaller geographies. Freight transportation surveys such as roadside/intercept surveys, focus and stakeholder group surveys, and commodity flow surveys are time-consuming and require a great amount of labor to geocode the trip origins and destinations. This study shows a truck modelling effort utilizing real-time global positioning system (GPS) truck data with a belief that GPS-based databases may provide detailed and disaggregate data for regional freight modelling. Eight weeks of GPS data for 5,000 different trucks in 2011 (two weeks in four seasons) for the Atlanta and Birmingham metropolitan planning organizations (MPO) was collected and incorporated with other datasets. Notably, GPS data can provide detailed origin-destination (O-D) information, routes and corridors, operating speeds, travel times, and flows. This study explores various possible ways that a GPS-based truck movement data can contribute to freight demand forecasts at the state and regional levels.

Alternate title: Global Positioning System-Based Truck Modeling for Regional Travel Demand Forecasting. This paper was sponsored by TRB committee ADA10 Statewide Multimodal Transportation Planning.

01550057

15-4658

English

15p

2015

Transportation Research Board 94th Annual Meeting

Digital/other

Figures; References; Tables

Commodity flow; Forecasting; Freight transportation; Global Positioning System; Metropolitan planning organizations; Origin and destination; Travel demand; Trucks

Freight Analysis Framework

Atlanta (Georgia); Birmingham (Alabama)

Freight Transportation; Highways; Motor Carriers; Planning and Forecasting; I72: Traffic and Transport Planning

Transportation Research Board Annual Meeting 2015 Paper #15-4658

PRP, TRIS, TRB, ATRI

Dec 30 2014 1:32PM