|
|
|
Title: Understanding Commercial Vehicle Travel Through New High-Fidelity Inductive Sensors
Accession Number: 01042615
Record Type: Component
Availability: Transportation Research Board Business Office 500 Fifth Street, NW Abstract: Despite their impacts on traffic performance, infrastructure, environment and safety, the travel behavior of commercial vehicles is not well understood. This is largely due to limited data available to distinguish between various types of commercial vehicles and their travel patterns. This study presents a new vehicle inductance sensor technology that obtains both the undercarriage profile and axle configuration of each vehicle, the fusion of which provides the potential for distinguishing between commercial vehicles at a more detailed level. The commercial vehicle classification model developed in this study yielded encouraging results of 96.7% and 89.6% classification accuracy for the calibration dataset and test dataset respectively, and has the potential to serve as the basis for developing a more powerful commercial vehicle classification model which is able to provide further insight into the travel behavior and characteristics of commercial vehicles on roadways today.
Monograph Title: Monograph Accession #: 01042056
Report/Paper Numbers: 07-2006
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Tok, Yeow Chern AndreRitchie, Stephen GJeng, Shin-TingPagination: 22p
Publication Date: 2007
Conference:
Transportation Research Board 86th Annual Meeting
Location:
Washington DC, United States Media Type: CD-ROM
Features: Figures
(6)
; References
(17)
; Tables
(1)
TRT Terms: Uncontrolled Terms: Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning
Source Data: Transportation Research Board Annual Meeting 2007 Paper #07-2006
Files: TRIS, TRB
Created Date: Feb 8 2007 6:43PM
|
