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A TIME-DEPENDENT APPROACH TO JUNCTION DELAYS

I Catling

Open publisher page 67 citations

Abstract

When demand at a junction is close to or above saturation and is varying with time, conventional steady-state delay formulae are inapplicable. The formulae presented in this paper extend previous work on a dynamic delay formulae to the case of time-dependent demand. A peak period is divided into a series of short intervals during each of which demand is considered to be stationary. By taking into account the mean queue length at the beginning and end of each interval, a representation of average delay is obtained which compares favourably both with more complex analytical formulae and with results of simulations.(a) /TRRL/

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What this paper is about

When demand at a junction is close to or above saturation and is varying with time, conventional steady-state delay formulae are inapplicable. The formulae presented in this paper extend previous work on a dynamic delay formulae to the case of time-dependent demand. A peak period is divided into a series of short intervals during each of which demand is considered to be stationary. By taking into account the mean queue length at the beginning and end of each interval, a representation of average delay is obtained which compares favourably both with more complex analytical formulae and with results of simulations.(a) /TRRL/

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OpenAlex reports 67 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

When demand at a junction is close to or above saturation and is varying with time, conventional steady-state delay formulae are inapplicable. The formulae presented in this paper extend previous work on a dynamic delay formulae to the case of time-dependent demand. A peak period is divided into a series of short intervals during each of which demand is considered to be stationary. By taking into account the mean queue length at the beginning and end of each interval, a representation of average delay is obtained which compares favourably both with more complex analytical formulae and with results of simulations.(a) /TRRL/

Key concepts: Queue, Retard, Interval (graph theory), Representation (politics), Series (stratigraphy), Mathematics, Applied mathematics, Control theory (sociology)

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