Optimizing traffic signal control for continuous‐flow intersections: Benchmarking against a state‐of‐practice model

Author:

Hu Yining1,Rey David2,Mohajerpoor Reza3,Saberi Meead1ORCID

Affiliation:

1. Research Centre for Integrated Transport Innovation (rCITI) School of Civil and Environmental Engineering University of New South Wales (UNSW) Sydney Australia

2. SKEMA Business School Université Côte d'Azur Sophia Antipolis France

3. School of Civil Engineering The University of Sydney Sydney Australia

Abstract

AbstractContinuous‐flow intersections (CFI), also known as displaced left‐turn (DLT) intersections, aim to improve the efficiency and safety of traffic junctions. A CFI introduces additional cross‐over intersections upstream of the main intersection to split the left‐turn flow from the through movement before it arrives at the main intersection which decreases the number of conflict points between left‐turn and through movements. This study develops and examine a two‐step optimization model for CFI traffic signal control design and demonstrates its performance across more than 300 different travel demand scenarios. The proposed model is compared against a state‐of‐practice CFI signal control model as a benchmark. Microsimulation results suggest that the proposed model reduces average delay by 17% and average queue length by 32% for a full CFI compared with the benchmark signal control model.

Publisher

Institution of Engineering and Technology (IET)

Reference33 articles.

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2. Continuous flow intersections;Goldblatt R.;ITE J.,1994

3. The continuous flow intersection. The greatest new development in traffic engineering since the traffic signal?;Hutchinson T.;Traffic Eng. Control,1995

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