Left turn crash risk analysis: Development of a microsimulation modeling approach

Appiah, Justice; King, F. Adam; Fontaine, Michael D.; Cottrell, Benjamin H

doi:10.1016/j.aap.2020.105591

Cited by 16 publications

(7 citation statements)

References 13 publications

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“…On the other hand, collision avoidance methods utilizing connected vehicle technologies are also being developed for the same scenarios [13][14][15][16][17]. In addition, in order to enhance these collision avoidance systems, many analyses on accident causal factors are being conducted using naturalistic driving data, driving simulator experiments, and simulations [18][19][20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

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Proactive Braking Control System for Collision Avoidance during Right Turns with Occluded Vision at an Intersection

Aoki,

Fujinami,

Raksincharoensak

et al. 2024

Applied Sciences

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This paper describes the development of an Advanced Driver Assistance System (ADAS) which will allow drivers to avoid collisions with an oncoming vehicle from an occluded area when turning right at intersections in left-hand traffic. Connected vehicles, in coordination with infrastructure, represent one of the commercialized ADAS technologies for collision avoidance. However, the coverage of the ADAS will be limited to designated intersections only, as communication equipment needs to be installed in both the vehicle and infrastructure to enable the assistance. This paper proposes an ADAS using on-board sensors, independent of infrastructure facilities, to control the vehicle velocity to avoid collisions. Most current intersection assistance, by using an Autonomous Emergency Braking System (AEBS), allows the driver to avoid a collision with oncoming vehicles when there is clear vision without occlusion. However, many accidents occur when the vehicle detects the oncoming vehicle too late because of occlusion in the intersection, such as a vehicle in the opposite lane. This system calculates the hazardous speed criteria of the ego vehicle, which might result in a high risk of collision when darting out occurs, and provides speed control assistance to allow the driver to escape from the hazardous speed region. The simulation results reveal that the proposed system effectively reduces the possibility of collisions compared to conventional AEBS.

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Section: Introductionmentioning

confidence: 99%

“…systems, many analyses on accident causal factors are being conducted using nat driving data, driving simulator experiments, and simulations [18][19][20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Proactive Braking Control System for Collision Avoidance during Right Turns with Occluded Vision at an Intersection

Aoki,

Fujinami,

Raksincharoensak

et al. 2024

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…In addition to the above methods of the overall improvement of the intersection, left-turning traffic flows are essential to improving the crossing capacity and safety in the range of intersections because left-turning traffic flows are most likely to cause conflicts when running in intersections. Some scholars have conducted a detailed investigation and analysis on the operation of left-turning vehicles at intersections [16]. ere were also a lot of results of solving the problem of left-turning traffic flows at intersections.…”

Section: Introductionmentioning

confidence: 99%

Evaluation and Analysis Model of the Length of Added Displaced Left-Turn Lane Based on Entropy Evaluation Method

Pan

Ying

Luo

et al. 2021

Journal of Advanced Transportation

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As the number of vehicles continues to grow in China, the problem of urban traffic congestion gets more serious, particularly at intersections. As a new type of unconventional intersection, the displaced left-turn (DLT) intersection has been widely recognized to improve the efficiency of intersections with heavy left-turn traffic flows. Converting an existing intersection into an intersection with additional DLT lanes is a valuable solution. However, the studies on DLT intersections mainly focus on performance, applicability, and safety. The guidelines on the specific engineering design process mostly come from experience, and the study on the considering multifactor design method is still insufficient. Therefore, this paper proposed an evaluation and analysis model of the lengths of added DLT lanes based on the entropy evaluation method, in which VISSIM and Surrogate Safety Assessment Model (SSAM) software were adopted for simulation. A design process for the length of the added DLT lanes was proposed with this model. An urban intersection in Xi’an was taken as a case study, and the application of the model and the design process was studied in detail. After selecting four evaluation indicators, the model was applied to calculate and analyze the optimal length of the added DLT lanes under 45 different traffic volume combinations. The recommended lengths of different situations were within the range recommended in the guidebook published by Federal Highway Administration. The results of the case study proved that the model proposed in this paper was advanced, reasonable, and practical.

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“…Among these signal control strategies, flashing yellow arrow (FYA), as one of the permissive left-turn control indications, has been evaluated and it was concluded by NCHRP Report 493 that FYA is well understood by drivers and is recommended as a permissive left-turn signal indication ( 4 ). Moreover, the FYA could eliminate the yellow trap issue caused by the lead-lag phasing with a protected-permissive left-turn (PPLT) mode and provide flexibility in signal operation mode selection ( 5 ).…”

mentioning

confidence: 99%

Safety Performance Evaluation of Flashing Yellow Arrow: Time-of-Day Versus 24-Hour Operation

Zhang

2023

Transportation Research Record: Journal of the Transportation R

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The flashing yellow arrow (FYA), as the permissive left-turn indication, has been widely implemented to mitigate driving confusion caused by the permissive steady green indication. The selection of an appropriate FYA operation type, however, remains an open-ended question as few studies have evaluated the safety effectiveness of FYA under different operation types, that is, 24-hour, time-of-day (TOD), and switching from 24-hour to TOD. Moreover, since FYA has been typically used at intersections with a single left-turn lane, its safety effectiveness at intersections with dual left-turn lanes has not been well investigated. To bridge these gaps, this paper focuses on evaluating the safety effectiveness of FYA at intersections with varying numbers of left-turn lanes under different operation types and examining whether the FYA operation type switch affects safety performance. Empirical Bayes before/after studies are conducted for 24-hour, TOD, and switching from 24-hour to TOD FYA operation types using multivariate adaptive regression splines models in comparison with traditional negative binomial models. Safety performance functions are developed for different combinations of crash types and a different number of left-turn lanes. Results show that for intersections with either a single left-turn lane or dual left-turn lanes, 24-hour and TOD FYA operation types reduce crashes by 8.76% to 50%. However, intersections with dual left-turn lanes experience a 31.2% increase in total crashes when switching from 24-hour to TOD FYA operation type, while intersections with a single left-turn lane see a 60% decrease in rear-end crashes.

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Left turn crash risk analysis: Development of a microsimulation modeling approach

Cited by 16 publications

References 13 publications

Proactive Braking Control System for Collision Avoidance during Right Turns with Occluded Vision at an Intersection

Proactive Braking Control System for Collision Avoidance during Right Turns with Occluded Vision at an Intersection

Evaluation and Analysis Model of the Length of Added Displaced Left-Turn Lane Based on Entropy Evaluation Method

Safety Performance Evaluation of Flashing Yellow Arrow: Time-of-Day Versus 24-Hour Operation

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