A simulation-based approach in determining permitted left-turn capacities

Stamatiadis, Nikiforos; Hedges, Adam; Kirk, Adam

doi:10.1016/j.trc.2015.03.044

Cited by 24 publications

(6 citation statements)

References 2 publications

(2 reference statements)

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“…Although there is no widely recognized guideline or criterion for the selection of permitted left-turn phasing, the left-turn movement at permitted left-turn intersections has been considered as one of the most hazardous maneuvers ( 1, 15 , 30 ), because left-turn vehicles can proceed the intersection only by penetrating the opposing through traffic. In practice, when the number of left-turn lanes is larger than one or the number of opposing through lanes is larger than two, a protected left-turn phasing is needed to avoid the potential safety hazard ( 31 ).…”

Section: Methodsmentioning

confidence: 99%

“…However, the use of the cross-product has been questioned recently as an indicator for determining phase selection. Stamatiadis et al proposed a simplified single variable exponential model and developed a simulation procedure to estimate left-turn capacity based on opposing volume and percent green time to determine left-turn capacity thresholds for left-turn phasing ( 15 ). Simulation analysis indicates that the proposed model provides a correlation similar to observed capacities.…”

Section: Literature Reviewmentioning

confidence: 99%

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Capacity Modeling of Permitted Left-Turn Signalized Intersections with Probabilistic Priority

Wang

Yang

Tian

et al. 2020

Transportation Research Record

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Probabilistic yielding behavior is commonly observed at permitted left-turn signalized intersections in China. Nevertheless, its impact on traffic capacity has not been explored in existing research. The uniqueness of this traffic operation is that neither left-turn traffic nor through traffic holds an absolute priority. Based on queuing theory, this research developed an analytical capacity model that took into account the probabilistic priority phenomenon at permitted left-turn signals. To validate the developed capacity model, stochastic simulations with different combinations of left-turn traffic yielding rates and through-traffic flow rates were performed. It was found that modeling results from the analytical model precisely matched the stochastic simulation results. In comparison with traditional capacity estimation models that assumed through traffic holds an absolute priority, this research revealed that when through-traffic flow rate is around 1000 vehicles per hour (vph), the capacity of left-turn traffic increased from 233 vph to 536 vph when left-turn traffic yielding rates decrease from 1 to 0.2; whereas when left-turn traffic yielding rates decreased from 0.2 to 0, left-turn capacity increased sharply to 1200 vehicles per hour (vph). In this regard, it is critical to take into account the probabilistic left-turn yield behavior when developing permitted left-turn signal warrants.

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Section: Methodsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Capacity Modeling of Permitted Left-Turn Signalized Intersections with Probabilistic Priority

Wang

Yang

Tian

et al. 2020

Transportation Research Record

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“…One of the problems, resulting from this, is a left turn implementation in different conflicts with other traffic flows as such maneuvers can increase the safety of movement when turning, but they can also increase delays and traffic congestion. In the study [4], the experiment, where a simplified unified exponential model to determine the safety on the left-turn lanes based on the comparison of traffic flow intensity and the share of green signal is proposed was conducted. In the arterial streets during peak periods, the significant traffic intensities are observed, and that, in terms of intersection passage optimization, complicates the software solution of relevant problems.…”

Section: A Review Of Research and Publications Concerning The Improvementioning

confidence: 99%

Increasing the complex intersections functioning efficiency by restriction of left-turn traffic flows

Lobashov¹,

Boikiv²

2020

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Providing rapid and safe traffic in cities requires the use of a set of planning and organizational measures. While the implementation of architectural-planning measures requires, except for significant investments, a quite long period, organizational measures can lead to a temporary but relatively rapid effect. For this purpose, an analysis of traffic flow metrics on the approaches to the intersection, traffic light cycle, and the traffic phasing is carried out. Conducted research indicates that left-turn flows cause significant delays and reduce traffic safety at the intersection. Therefore, increasing the efficiency of the crossroads needs redevelopment measures by restriction of the left-turn flows on the main road, change of the traffic flows phasing and optimizing the traffic light cycle. In the presence of adjacent intersections, the scheme of left turn realization is developed. The simulation of intersection functioning in existing conditions and under the change of left-turn flows movement organization is carried out in the PTV Vissim software environment. It is established that restriction of the left-turn flows at the controlled intersection allows to optimize the traffic light cycle and equip it so that the average delay for traffic flows will decrease in comparison with the current state.

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“…In recent years, many previous scholars prefer to develop micro-simulation models to conduct traffic operation analysis on dedicated transit lanes, because it would allow for modification and control without having extraneous and unexplanatory variables [4]. The HCM also introduced microsimulation analysis approaches and their proper applications from 2010 edition [5].…”

Section: Introductionmentioning

confidence: 99%

A Simulation-Based Approach to Determine the Location of Dedicated Transit Lane

Bai

Song

et al. 2019

IEEE Access

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This paper is concerned with proposing a decision-making model to determine the suitable type from curbside and offset transit lane, mainly for a double-lane auxiliary road. The significant difference between these two types is the location of the weaving segment. A comparison analysis was first conducted to discuss traffic operations at weaving segments. Then, a decision-making model using random forest technique was developed based on output volume, delay, and the number of person from 1 261 260 VISSIM micro-simulation scenarios which evaluated varying occupancy of a transit vehicle, occupancy of a general vehicle, transit traffic volume, general traffic volume, cycle lengths, green time splits, and ratio of rightturning flow. The results reveal that when determining transit lane options: 1) general traffic volume is the most significant variable; 2) the impact of occupancy of a general/transit vehicle is so small that can be ignored; and 3) signal cycle, general, and transit volume have a negative effect on selecting offset transit lane, but signal splits and right-turning ratio have a positive effect. This paper provides a better understanding of offset transit lane operation and offers a simple determination to select suitable transit lane type for a particular traffic scenario using five input data needs, without the need for complex hand calculations.

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A simulation-based approach in determining permitted left-turn capacities

Cited by 24 publications

References 2 publications

Capacity Modeling of Permitted Left-Turn Signalized Intersections with Probabilistic Priority

Capacity Modeling of Permitted Left-Turn Signalized Intersections with Probabilistic Priority

Increasing the complex intersections functioning efficiency by restriction of left-turn traffic flows

A Simulation-Based Approach to Determine the Location of Dedicated Transit Lane

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