[PDF] Estimating Truck Travel Data For Texas eBook

Author : Akshay Mani
Publisher :
Page : 260 pages
File Size : 15,64 MB
Release : 2004
Category : Information storage and retrieval systems
ISBN :

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The following research describes a novel approach for generating disaggregate county-level truck data for Texas from publicly available freight data sources. County-level truck flows are required as inputs to the Statewide Analysis Model (SAM), a multi-modal freight planning model developed by the Texas Department of Transportation, to analyze the freight system performance and make critical infrastructure improvement decisions. TxDOT currently relies on the commercial Reebie Associates' TRANSEARCH database for inputs to the SAM, since it is the only available freight data source providing comprehensive county-level truck flow data for Texas. However, the sources, methodology, and assumptions used in compiling the database are proprietary, which have raised questions regarding the reliability of the data. Since statewide primary freight data collection is an expensive and time-consuming process, there is a need for methods to extract disaggregated data from secondary freight data sources. The current research addresses this need by developing a model to generate county-level truck flows for Texas from the publicly available Commodity Flow Survey. The methodology is applied to compute inter-county, county-to-state and state-to-county truck flows for Texas for nine major commodity categories. Though the generated truck data suffer from certain limitations associated with the CFS, the approach provides a cost-effective means of estimating county-level truck flows in Texas, of which the limitations, assumptions and measures of reliability are well documented

Author : Keith M. Chase
Publisher : Transportation Research Board
Page : 90 pages
File Size : 47,2 MB
Release : 2013
Category : Transportation
ISBN : 0309129427

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" TRB's second Strategic Highway Research Program (SHRP 2) Report S2-C20-RR-1: Freight Demand Modeling and Data Improvement documents the state of the practice for freight demand modeling. The report also explores the fundamental changes in freight modeling, and data and data collection that could help public and private sector decision-makers make better and more informed decisions. SHRP 2 Capacity Project C20, which produced Report S2-C20-RR-1, also produced the following items: A Freight Demand Modeling and Data Improvement Strategic Plan, which outlines seven strategic objectives that are designed to serve as the basis for future innovation in freight travel demand forecasting and data, and to guide both near- and long-term implementation: A speaker's kit, which is intended to be a "starter" set of materials for use in presenting the freight modeling and data improvement strategic plan to a group of interested professionals; and; A 2010 Innovations in Freight Demand Modeling and Data Symposium " -- publisher's description

Author :
Publisher :
Page : 213 pages
File Size : 39,25 MB
Release : 2009
Category : Motor vehicles
ISBN :

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A specific Vcost model was developed for Texas conditions based on a sophisticated fuel model for light duty vehicles, several excellent sources of secondary vehicle cost data, and the ability to measure heavy truck fuel consumption through both experimental and survey work. The basic model was designed to address the relatively narrow range of pavement roughness found on the Texas highway network and is free-flow, and does not accurately measure congestion effects. The team developed a vehicle classification scheme that was suitable for TxDOT planning and revenue forecasting. These resources led to the adoption of eight categories of light-duty vehicles and two heavy truck types. The current Texas fleet composition was determined from 2007 VTR data and was made a default for model use. Each cost item associated with the representative vehicle was calculated for each year of operation up to 20 years. Six main cost categories are included in the Vcost model: depreciation, financing, insurance, other fixed costs, repair and maintenance, and fuel. These costs fall into two categories: fixed and variable costs. The Vcost model can provide operating cost estimates for each specific representative vehicles as well as fleets of vehicles. The model allows the user to change key parameters so that the cost calculation is specific to any particular situation, and can be updated as the economic or technological landscape changes. The model was designed to provide the user with a program that looked, felt, and operated in a similar fashion to most Windows programs and would be intuitive for the typical TxDOT user.