2011Logistics Sci-techRequires access

Study on Traffic Volume Forecasting of Imperial River Bridge Based on the Theory of Serial Number Summation

Guo Xiao-kui

Open publisher page 2 citations

Abstract

In order to evaluate the reliability of road network design,improve the accuracy of traffic volume forecasting,with the guidance of basic traffic engineering theory,based on a large number of survey data,the paper conducts traffic volume forecasting using linear,binomial,exponential time series and other methods,obtains the corresponding prediction model,gets prediction model with higher accuracy by means of using the theory of serial number summation,and calculates traffic volume of future characteristic year through prediction,which provides a new research ideas for the study of on traffic volume forecasting.

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What this paper is about

In order to evaluate the reliability of road network design,improve the accuracy of traffic volume forecasting,with the guidance of basic traffic engineering theory,based on a large number of survey data,the paper conducts traffic volume forecasting using linear,binomial,exponential time series and other methods,obtains the corresponding prediction model,gets prediction model with higher accuracy by means of using the theory of serial number summation,and calculates traffic volume of future characteristic year through prediction,which provides a new research ideas for the study of on traffic volume forecasting.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

In order to evaluate the reliability of road network design,improve the accuracy of traffic volume forecasting,with the guidance of basic traffic engineering theory,based on a large number of survey data,the paper conducts traffic volume forecasting using linear,binomial,exponential time series and other methods,obtains the corresponding prediction model,gets prediction model with higher accuracy by means of using the theory of serial number summation,and calculates traffic volume of future characteristic year through prediction,which provides a new research ideas for the study of on traffic volume forecasting.

Key concepts: Traffic volume, Volume (thermodynamics), Reliability (semiconductor), Computer science, Negative binomial distribution, Traffic generation model, Bridge (graph theory), Series (stratigraphy)

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