2002•Unpublished venueRequires access

Development of systematic procedure for the analysis of heavy truck traffic data

Quan-Yang Yao, W.G. Li, F T Najafi

Open publisher page 1 citations

Abstract

The 18 kip equivalent single axle loading (ESAL) process has been taken to develop the expected ESALs for the life of highway projects. The Florida Standard Urban Transportation Molding Structure (FSUTMS) does not forecast heavy truck traffic. The development of systematic truck forecasting model has not been received yet. In the absence of a departmental truck forecasting model, future truck traffic is based on the present day truck classification. The percentage of truck traffic is assumed to hold the same relationship to annual average daily traffic. For the purpose of pavement structural design, it is necessary to estimate the cumulative number of 18 kip ESALs for the design period. Since truck volume and damage factors are needed to calculate ESALs, estimating the frequency and predicting the trend of future heavy truck traffic is significant. The paper presents a systematic procedure for the classification and analysis of heavy truck traffic data and an attempt of developing a systematic truck traffic forecasting model.

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What this paper is about

The 18 kip equivalent single axle loading (ESAL) process has been taken to develop the expected ESALs for the life of highway projects. The Florida Standard Urban Transportation Molding Structure (FSUTMS) does not forecast heavy truck traffic. The development of systematic truck forecasting model has not been received yet. In the absence of a departmental truck forecasting model, future truck traffic is based on the present day truck classification. The percentage of truck traffic is assumed to hold the same relationship to annual average daily traffic. For the purpose of pavement structural design, it is necessary to estimate the cumulative number of 18 kip ESALs for the design period. Since truck volume and damage factors are needed to calculate ESALs, estimating the frequency and predicting the trend of future heavy truck traffic is significant. The paper presents a systematic procedure for the classification and analysis of heavy truck traffic data and an attempt of developing a systematic truck traffic forecasting model.

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Available abstract

The 18 kip equivalent single axle loading (ESAL) process has been taken to develop the expected ESALs for the life of highway projects. The Florida Standard Urban Transportation Molding Structure (FSUTMS) does not forecast heavy truck traffic. The development of systematic truck forecasting model has not been received yet. In the absence of a departmental truck forecasting model, future truck traffic is based on the present day truck classification. The percentage of truck traffic is assumed to hold the same relationship to annual average daily traffic. For the purpose of pavement structural design, it is necessary to estimate the cumulative number of 18 kip ESALs for the design period. Since truck volume and damage factors are needed to calculate ESALs, estimating the frequency and predicting the trend of future heavy truck traffic is significant. The paper presents a systematic procedure for the classification and analysis of heavy truck traffic data and an attempt of developing a systematic truck traffic forecasting model.

Key concepts: Truck, Axle, Transport engineering, Traffic volume, Computer science, Heavy traffic, Engineering, Automotive engineering

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