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1961•Journal of the Royal Statistical Society Series B (Statistical Methodology)Requires access

A Queueing Model for Road Traffic Flow

Alan J. Miller

Open publisher page 106 citations

Abstract

SUMMARY It is proposed that on roads which are uninterrupted by traffic signals, intersections, etc., vehicles should be considered as travelling in random queues. Criteria for determining the queues in actual traffic are found. A crude model is then used to study the formation of these queues in an attempt to derive the Borel–Tanner distribution of queue lengths. The random queues model is then used to study waiting times for pedestrians (or vehicles) wishing to cross one lane of traffic.

About this research paper

What this paper is about

SUMMARY It is proposed that on roads which are uninterrupted by traffic signals, intersections, etc., vehicles should be considered as travelling in random queues. Criteria for determining the queues in actual traffic are found. A crude model is then used to study the formation of these queues in an attempt to derive the Borel–Tanner distribution of queue lengths. The random queues model is then used to study waiting times for pedestrians (or vehicles) wishing to cross one lane of traffic.

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OpenAlex reports 106 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

SUMMARY It is proposed that on roads which are uninterrupted by traffic signals, intersections, etc., vehicles should be considered as travelling in random queues. Criteria for determining the queues in actual traffic are found. A crude model is then used to study the formation of these queues in an attempt to derive the Borel–Tanner distribution of queue lengths. The random queues model is then used to study waiting times for pedestrians (or vehicles) wishing to cross one lane of traffic.

Key concepts: Queue, Queueing theory, Traffic flow (computer networking), Computer science, Flow (mathematics), Mathematics, Transport engineering, Simulation

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