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

Abstract Continuous‐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.

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Institutions

Publication Details

Journal
IET Intelligent Transport Systems
Published
2024-09-02
DOI
https://doi.org/10.1049/itr2.12559
Citations
7
Primary Topic
Traffic control and management
Type
article
Field-Weighted Citation Impact
2.30

Funders

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article

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

Meead Saberi, Reza Mohajerpoor, David Rey, Yining Hu
7 citations
IET Intelligent Transport Systems
Traffic control and management
2.30
article

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

Meead Saberi, Reza Mohajerpoor, David Rey, Yining Hu
article en
7 citations

Abstract

Abstract Continuous‐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.

IET Intelligent Transport SystemsVol. 18(11)
The University of Sydney (AU), SKEMA Business School (FR), Université Côte d'Azur (FR), UNSW Sydney (AU)
University of New South Wales
Openalex Percentile: Top 11%
Traffic control and management
2.30
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Optimizing traffic signal control for continuous‐flow intersections: Benchmarking against a state‐of‐practice model — Meead Saberi, Reza Mohajerpoor, et al. · IET Intelligent Transport Systems (2024) | TGRS Research Map | TGRS