01334637

Component

Freight data collection can provide more representative and accurate data to support the freight demand analysis and planning process. This paper presents a potential and sustainable technique by integrating the anonymous cellular phone position data with geographic information systems (GIS) in freight data collection, and subsequently in determining the geographic extent of freight traffic from a logistic intermodal facility. A freight traffic identifying and tracking algorithm was used to locate the freight data and their trajectory based on cellular phone and GIS data. A field test in a logistic facility in the Kansas City, Missouri area shows that the available cellular phone data covers about 20 percent of freight traffic. The proposed tracking algorithm can identify a similar percentage of freight data from the facility. A calibration equation was also derived for estimating the facility traffic using cellular phone data in the test logistic facility. The geographic extent of freight traffic from the test facility was determined and illustrated in the established freight analysis network. The results indicated that 75 percent of trucks traveled within 60 miles from the logistic facility. About 25 percent of them were long-haul freight traffic traveling more than 60 miles away.

01329018

11-3948

English

13p

2011

Transportation Research Board 90th Annual Meeting

DVD

Figures (6) ; References (19) ; Tables (1)

Algorithms; Automatic data collection systems; Cellular telephones; Freight traffic; Geographic information systems; Intermodal terminals; Network analysis (Planning); Traffic data

ArcGIS

Data and Information Technology; Freight Transportation; I70: Traffic and Transport

Transportation Research Board Annual Meeting 2011 Paper #11-3948

TRIS, TRB

Feb 17 2011 6:42PM