New Approach for Estimating Intersection Control Delay From Passive Traffic Sensors at Network Level

In junction traffic operations, vehicle delay is one of the most essential performance measures of effectiveness. It allows traffic engineers to assess the performance of a traffic system component or the efficacy of a system-wide control plan. Real-time applications such as adaptive signal control,...

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Main Authors: Ahmed Almutairi, Ping Yi, Mahmoud Owais
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10379813/
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author Ahmed Almutairi
Ping Yi
Mahmoud Owais
author_facet Ahmed Almutairi
Ping Yi
Mahmoud Owais
author_sort Ahmed Almutairi
collection DOAJ
description In junction traffic operations, vehicle delay is one of the most essential performance measures of effectiveness. It allows traffic engineers to assess the performance of a traffic system component or the efficacy of a system-wide control plan. Real-time applications such as adaptive signal control, congestion management, and dynamic traffic assignment often use this technology. Obtaining real-time data on intersection performance, such as control delay, may be time-consuming and labor-intensive. This study presents a new approach for estimating network-level real-time delay from passive traffic counting. Total Travel Delay Estimation Technique (TTD) is proposed for signalized intersection delays that can be computed by examining real-time data from arrival and departure detectors upstream and downstream of a junction. The proposed estimation method mathematically manipulated equations that relate the input-output model and vehicle O–D data acquired from the Automatic Turning Movement Identification System (ATMIS). The developed methods utilize the obtained real-time traffic detection system as input data. The proposed methods are applied for three cases: simple, semi-generalized, and generalized networks, where any of them can be used as a building TTD estimation block for the whole actual network. Results from the TTD were compared to VISSIM output, and a statistical test was conducted under varying traffic conditions (low, medium, high, and saturated). The findings show that the proposed methodology can yield stable and reliable results in various traffic volumes and turning movement conditions. Future field implementation studies for the suggested methods are recommended to evaluate the model’s reliability and efficacy in real-time traffic scenarios.
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spelling doaj.art-73c713d7cba243ba9c4d794ddae84fa32024-01-09T00:04:29ZengIEEEIEEE Access2169-35362024-01-01122882290010.1109/ACCESS.2024.334949910379813New Approach for Estimating Intersection Control Delay From Passive Traffic Sensors at Network LevelAhmed Almutairi0https://orcid.org/0009-0001-7564-9942Ping Yi1Mahmoud Owais2https://orcid.org/0000-0002-1639-2120Department of Civil and Environmental Engineering, College of Engineering, Majmaah University, Al Majma’ah, Saudi ArabiaDepartment of Civil Engineering, The University of Akron, Akron, OH, USACivil Engineering Department, Faculty of Engineering, Assiut University, Assiut, EgyptIn junction traffic operations, vehicle delay is one of the most essential performance measures of effectiveness. It allows traffic engineers to assess the performance of a traffic system component or the efficacy of a system-wide control plan. Real-time applications such as adaptive signal control, congestion management, and dynamic traffic assignment often use this technology. Obtaining real-time data on intersection performance, such as control delay, may be time-consuming and labor-intensive. This study presents a new approach for estimating network-level real-time delay from passive traffic counting. Total Travel Delay Estimation Technique (TTD) is proposed for signalized intersection delays that can be computed by examining real-time data from arrival and departure detectors upstream and downstream of a junction. The proposed estimation method mathematically manipulated equations that relate the input-output model and vehicle O–D data acquired from the Automatic Turning Movement Identification System (ATMIS). The developed methods utilize the obtained real-time traffic detection system as input data. The proposed methods are applied for three cases: simple, semi-generalized, and generalized networks, where any of them can be used as a building TTD estimation block for the whole actual network. Results from the TTD were compared to VISSIM output, and a statistical test was conducted under varying traffic conditions (low, medium, high, and saturated). The findings show that the proposed methodology can yield stable and reliable results in various traffic volumes and turning movement conditions. Future field implementation studies for the suggested methods are recommended to evaluate the model’s reliability and efficacy in real-time traffic scenarios.https://ieeexplore.ieee.org/document/10379813/Delay estimationsignalized intersectionstraffic countingtraffic simulationVissim
spellingShingle Ahmed Almutairi
Ping Yi
Mahmoud Owais
New Approach for Estimating Intersection Control Delay From Passive Traffic Sensors at Network Level
IEEE Access
Delay estimation
signalized intersections
traffic counting
traffic simulation
Vissim
title New Approach for Estimating Intersection Control Delay From Passive Traffic Sensors at Network Level
title_full New Approach for Estimating Intersection Control Delay From Passive Traffic Sensors at Network Level
title_fullStr New Approach for Estimating Intersection Control Delay From Passive Traffic Sensors at Network Level
title_full_unstemmed New Approach for Estimating Intersection Control Delay From Passive Traffic Sensors at Network Level
title_short New Approach for Estimating Intersection Control Delay From Passive Traffic Sensors at Network Level
title_sort new approach for estimating intersection control delay from passive traffic sensors at network level
topic Delay estimation
signalized intersections
traffic counting
traffic simulation
Vissim
url https://ieeexplore.ieee.org/document/10379813/
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AT pingyi newapproachforestimatingintersectioncontroldelayfrompassivetrafficsensorsatnetworklevel
AT mahmoudowais newapproachforestimatingintersectioncontroldelayfrompassivetrafficsensorsatnetworklevel