A review of methodological approaches for saturation flow estimation at signalized intersections

Mondal, Satyajit; Gupta, Ankit

doi:10.1139/cjce-2018-0696

Cited by 10 publications

(4 citation statements)

References 52 publications

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“…The escalating urban population has fueled a notable surge in traffic congestion in urban areas, making traffic management a critical issue [1]. At the heart of urban transportation networks, intersections have a pivotal influence on the overall efficiency of the road system [2]. Among the strategies employed to manage intersections, traffic signal control stands out, particularly in densely populated and well-developed urban road networks [3].…”

Section: Introductionmentioning

confidence: 99%

Understanding the Determinants of Lane Inefficiency at Fully Actuated Intersections: An Empirical Analysis

Karabulut,

Ozen,

Altintasi

2024

Sustainability

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As urban traffic challenges intensify, the growing interest for fully actuated control systems in intersection management is on the rise due to their capacity to adapt to dynamic traffic demands. These systems play a crucial role in sustainable traffic solutions, significantly reducing delays and emissions and enhancing overall system efficiency. The optimal performance of these systems relies on effectively facilitating vehicle discharge at the saturation flow rate throughout the green period. This study introduces a new parameter, lane inefficiency, evaluating vehicle discharge effectiveness by comparing saturation flow rate with instantaneous discharge for each green period. It provides a comprehensive assessment of green utilization for specific lanes. This study also explores the impact of signal control system parameters and traffic flow characteristics on lane inefficiency using principal component analysis (PCA) and multiple linear regression models. This approach holistically evaluates how both signal control system and traffic flow parameters collectively influence efficient green period utilization. The findings emphasize the impact of critical factors on lane inefficiency, including green time, the proportion of total unused green time to green time, total unused green time, the percentage of heavy vehicles in departing traffic, the ratio of effective green time to cycle time, the total time headways of the first four vehicles, and queue length. Decision makers need to pay due attention to these parameters to enhance intersection performance and foster a more sustainable urban transportation network.

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Section: Introductionmentioning

confidence: 99%

Understanding the Determinants of Lane Inefficiency at Fully Actuated Intersections: An Empirical Analysis

Karabulut,

Ozen,

Altintasi

2024

Sustainability

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“…Estimating such adjustment factors for bicycle traffic has received quite some attention in the literature (Allen et al, 1998;Brilon and Miltner, 2005;Chen et al, 2007;Li et al, 2009Li et al, , 2011Guo et al, 2012;Chen et al, 2014;Preethi and Ashalatha, 2018) and is a common way to include car travel time delays at intersections caused by prioritised traffic in flow-based models. Similar adjustments can be made for other types of non-motorised traffic (Mondal and Gupta, 2020) such as pedestrians (Niittymäki and Pursula, 1997;Milazzo et al, 1998;Chen et al, 2008Chen et al, , 2015Roshani and Bargegol, 2017).…”

Section: Introductionmentioning

confidence: 99%

Including Right-of-Way in a Joint Large-Scale Agent-Based Dynamic Traffic Assignment Model for Cars and Bicycles

2022

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“…A constant headway observed after the fourth vehicle in the queue was considered as a saturation headway value. However, the traffic scenarios of a weak-lane-disciplined mixed traffic stream express a distinct nature of vehicle discharge characteristics (7)(8)(9). Therefore, the researchers found a substantial variation between the field observed flow and estimated flow using HCM methodology (10,11).…”

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confidence: 99%

Non-Linear Evaluation Model to Analyze Saturation Flow under Weak-Lane-Disciplined Mixed Traffic Stream

Mondal

Gupta

2021

Transportation Research Record: Journal of the Transportation R

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Saturation flow is an essential parameter for the performance evaluation and signal cycle design of an intersection. However, in a weak-lane-disciplined mixed traffic stream, vehicles (mainly motorized two- and three-wheelers) are more interested in forming queues with the behavior of creeping and infiltration through the larger vehicles for a quick dispersion. Consequently, a high rate of discharge can be found in the first few seconds of green, followed by a wavering discharge pattern to the end of the green period. In this context, the present study frames a non-linear evolutionary model (NLEM) to analyze passenger car unit (PCU) and saturation flow value by minimizing the vehicle encroachment and wavering in discharge for mixed traffic stream. Field traffic data was collected from 10 signalized intersections from three different cities of India. The NLEM considers the vehicle discharge during the saturated green interval in the optimization process to analyze PCU and saturation flow value. The result indicates an appropriate estimation of PCU and saturation flow concerning the Highway Capacity Manual. The discharge profile obtained using the proposed model also specifies the model’s aptness in analyzing the effect of vehicle encroachment and wavering throughout the green period. Thus, the proposed NLEM is probably suitable for analyzing the PCU and saturation flow of an intersection where vehicle interaction is sensitive because of a mixed scenario.

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A review of methodological approaches for saturation flow estimation at signalized intersections

Cited by 10 publications

References 52 publications

Understanding the Determinants of Lane Inefficiency at Fully Actuated Intersections: An Empirical Analysis

Understanding the Determinants of Lane Inefficiency at Fully Actuated Intersections: An Empirical Analysis

Including Right-of-Way in a Joint Large-Scale Agent-Based Dynamic Traffic Assignment Model for Cars and Bicycles

Non-Linear Evaluation Model to Analyze Saturation Flow under Weak-Lane-Disciplined Mixed Traffic Stream

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