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 move...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2024-11-01
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| Series: | IET Intelligent Transport Systems |
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| Online Access: | https://doi.org/10.1049/itr2.12559 |
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| _version_ | 1846173849751650304 |
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| author | Yining Hu David Rey Reza Mohajerpoor Meead Saberi |
| author_facet | Yining Hu David Rey Reza Mohajerpoor Meead Saberi |
| author_sort | Yining Hu |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-c862b5d0cd6244aa98b45cbdfc1b3ff8 |
| institution | Kabale University |
| issn | 1751-956X 1751-9578 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Intelligent Transport Systems |
| spelling | doaj-art-c862b5d0cd6244aa98b45cbdfc1b3ff82024-11-08T09:47:48ZengWileyIET Intelligent Transport Systems1751-956X1751-95782024-11-0118112152216510.1049/itr2.12559Optimizing traffic signal control for continuous‐flow intersections: Benchmarking against a state‐of‐practice modelYining Hu0David Rey1Reza Mohajerpoor2Meead Saberi3Research Centre for Integrated Transport Innovation (rCITI) School of Civil and Environmental Engineering University of New South Wales (UNSW) Sydney AustraliaSKEMA Business School Université Côte d'Azur Sophia Antipolis FranceSchool of Civil Engineering The University of Sydney Sydney AustraliaResearch Centre for Integrated Transport Innovation (rCITI) School of Civil and Environmental Engineering University of New South Wales (UNSW) Sydney AustraliaAbstract 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.https://doi.org/10.1049/itr2.12559management and controltraffic controltraffic modellingtransport modelling and microsimulation |
| spellingShingle | Yining Hu David Rey Reza Mohajerpoor Meead Saberi Optimizing traffic signal control for continuous‐flow intersections: Benchmarking against a state‐of‐practice model IET Intelligent Transport Systems management and control traffic control traffic modelling transport modelling and microsimulation |
| title | Optimizing traffic signal control for continuous‐flow intersections: Benchmarking against a state‐of‐practice model |
| title_full | Optimizing traffic signal control for continuous‐flow intersections: Benchmarking against a state‐of‐practice model |
| title_fullStr | Optimizing traffic signal control for continuous‐flow intersections: Benchmarking against a state‐of‐practice model |
| title_full_unstemmed | Optimizing traffic signal control for continuous‐flow intersections: Benchmarking against a state‐of‐practice model |
| title_short | Optimizing traffic signal control for continuous‐flow intersections: Benchmarking against a state‐of‐practice model |
| title_sort | optimizing traffic signal control for continuous flow intersections benchmarking against a state of practice model |
| topic | management and control traffic control traffic modelling transport modelling and microsimulation |
| url | https://doi.org/10.1049/itr2.12559 |
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