Nonstrict Priority Left-Turning Maneuvers with a Permitted Phase at Signalized Intersections: Empirical Study in China

Bai, Qiaowen; Chen, Yongheng; Qu, Zhaowei; Tao, Pengfei; Cao, Ningbo; Shen, Yao

doi:10.1061/jtepbs.0000015

Cited by 9 publications

(6 citation statements)

References 16 publications

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“…This indicates that the through traffic does not hold an absolutely higher priority, which tends to produce a significant impact on the traffic operational performance of permitted left-turn signalized intersections. This phenomenon also can be commonly observed at urban intersections in Norway, Finland, and Germany, as well as some developing countries (1,2).…”

mentioning

confidence: 64%

“…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%

“…To our best knowledge, there is only a limited amount of literature that has addressed the probabilistic yielding issue of permitted left-turn intersections. Bai et al investigated the non-strict priority left-turning vehicle maneuvers with a permitted phase at signalized intersections based on field observation (1). The observations revealed that: (1) a significantly wider trajectory distribution appears in permitted left-turning maneuvers than in protected phases; (2) follow-up time intervals in a left-turn group have a leptokurtic distribution that can be best fitted by the log-logistic and lognormal models.…”

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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confidence: 64%

Section: Methodsmentioning

confidence: 99%

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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“…Most traffic managers believe that drivers should strictly give way to bicycles passing through a crosswalk [3,13,14]. However, actual investigations have found that drivers in many countries and regions, such as Norway, Finland, Germany, and China, do not strictly adhere to this rule [8,[15][16][17][18][19]. at is, during the real traffic conditions, vehicle drivers may not always assume they must comply with the rule of giving way, and instead, they compete for priority [17,18].…”

Section: Introductionmentioning

confidence: 99%

A Mixed-Flow Cellular Automaton Model for Vehicle Nonstrict Priority Give-Way Behavior at Crosswalks

Cheng

Lü

et al. 2020

Journal of Advanced Transportation

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The vehicle nonstrict priority give-way behavior (VNPGWB) is a common part of traffic interaction between motorized and nonmotorized vehicles in many countries. This study proposes a mixed-flow cellular automaton model to simulate the passing of vehicles in front of bicycles at crosswalks. The mixed-flow model combines a vehicle model with a bicycle model, using nonstrict priority give-way and strict give-way two driving behaviors defined as relating to the decision point rule and the launching rule, respectively. Simulation results showed that as the vehicle and bicycle inflow rates increased, a critical inflow rate divided vehicle and bicycle traffic flow into free flow and saturated flow conditions. The values of vehicle saturation flow decreased from 0.34 to 0.05, and the values of bicycle saturation flow decreased from 0.54 to 0.44, indicating that the mixed traffic flow has a negative effect on vehicle and bicycle saturated flow. Results also showed that VNPGWB effectively improves vehicle saturation flow over that of the strict give way. The advantage of VNPGWB is more signiﬁcant when vehicles and bicycles are in saturation traffic flow.

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“…Once an opposing through-vehicle accommodates a left-turning vehicle's crossing, the following left-turning vehicles will take this opportunity to finish their turning movements. As a result, throughvehicles are undoubtedly severely delayed [4]. us, the opposed crossing flow will also strive to maintain a small time headway to prevent being disturbed by the conflicting traffic flow.…”

Section: Introductionmentioning

confidence: 99%

A Method for Determining the Capacity of an Exclusive Left Lane with a Permitted Phase under Nonstrict Priority

Bai

Song

et al. 2019

Advances in Civil Engineering

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A new method has been developed for estimating the capacity of an exclusive left lane with a permitted phase under nonstrict priority. Different from maneuvers under strict priority, these left-turning vehicles were released in the form of a left-turn group. A field survey was first conducted to explore the maximum number of vehicles in a left-turn group, and the releasing process of the permitted left turns. e observations revealed that (1) the maximum number is related to the intersection geometry and (2) the releasing process includes two stages: the first left-turn group crossing at the beginning of a permitted phase and the following leftturn groups crossing using gaps provided by opposing right turns. Next, a method based on probability theory and these observation results were applied to estimate the capacity of an exclusive left lane. e procedure contains two stages and eight steps. Finally, the estimation of the left-turn capacity using the proposed model was validated by comparing the capacity from the strict priority and actual maximum volumes.

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Nonstrict Priority Left-Turning Maneuvers with a Permitted Phase at Signalized Intersections: Empirical Study in China

Cited by 9 publications

References 16 publications

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

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

A Mixed-Flow Cellular Automaton Model for Vehicle Nonstrict Priority Give-Way Behavior at Crosswalks

A Method for Determining the Capacity of an Exclusive Left Lane with a Permitted Phase under Nonstrict Priority

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