Safety evaluation of signalized intersections with left-turn waiting area in China

Jiang, Xiancai; Zhang, Guopeng; Bai, Wei; Fan, Wenbo

doi:10.1016/j.aap.2015.09.006

Cited by 26 publications

(6 citation statements)

References 19 publications

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“…A number of studies have examined the optimization of signalized intersection design on transportation efficiency 15 , 16 and assessed its impact on safety using mathematical modeling. 17 , 18 , 19 , 20 , 21 , 22 We extended these studies by studying real-world behavior at matched intersections to determine both transportation efficiency and pedestrian safety at intersections with left-turning conflicts.…”

Section: Discussionmentioning

confidence: 99%

Left-turning vehicle-pedestrian conflicts at signalized intersections with traffic lights: Benefit or harm? A two-stage study

et al. 2019

Chinese Journal of Traumatology

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Purpose Vehicle-pedestrian conflicts are common at road intersections when traffic lights change. However, the impact of traffic light on transportation safety and efficiency remains poorly understood. Methods A two-stage study was used to survey the proportion of intersections with conflicting traffic lights and the related transportation efficiency and safety were evaluated as well. First, a cross-sectional study estimated the proportion of signalized intersections with conflicting left-turning vehicle-pedestrian traffic lights in Changsha city, China. Second, a natural experiment compared transportation efficiency and safety between intersections with and without conflicting left-turning vehicle-pedestrian traffic lights. Risky conflicts, where motor vehicles violated laws and failed to yield to pedestrians in crosswalk were used as a surrogate for transportation safety. The number of motor vehicles and pedestrians passing through the intersections per second and per meter were used to estimate transportation efficiency. Data were collected and analyzed in 2015 (from March to December). A search of online news from domestic media sources was also conducted to collect pedestrian injury data occurring at the intersections. Results About one-fourth (57/216) intersections had conflicting left-turning traffic lights (95% CI : 20.5%, 32.3%). Risky vehicle-pedestrian conflicts were more frequently observed at intersections with conflicting lights compared to those without (incidence rate ratio (IRR) = 3.13; pedestrians: IRR = 4.02), after adjusting for type of day (weekday vs. weekend), the time period of observation, and motor vehicles traffic flow. Intersections without conflicting vehicle-pedestrian traffic lights had similar transportation efficiency to those with conflicting lights after controlling for covariates (p > 0.05). The systematic review of news media reports yielded 10 left-turning vehicle-pedestrian crash events between 2011 and 2017, involving 11 moderate or severe pedestrian injuries and 3 fatal pedestrian injuries. Conclusion Over one-fourth of road intersections in Changsha city, China have conflicting left-turning traffic lights. Conflicting traffic lights cannot improve transportation efficiency, but increase risky conflicts between vehicles and pedestrians.

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Section: Discussionmentioning

confidence: 99%

Left-turning vehicle-pedestrian conflicts at signalized intersections with traffic lights: Benefit or harm? A two-stage study

et al. 2019

Chinese Journal of Traumatology

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“…This paper mainly analyses the impact of human-vehicle conflicts involving E-bikes on the safety of road traffic operations. The definition of traffic conflicts is as follows: Under observable conditions, when one or more bicycle flows are close to each other at the same time and space, there is a danger of collision if the motion state of one of the vehicles is not changed [26]. In the traffic simulation process, the conflict can be divided into three types of conflicts according to the angle of the advancing direction of the two agents (referred to as the collision angle) [27].…”

Section: Mixed Traffic Flow Conflict a Types Of Human-vehicle Conflict Involving E-bikesmentioning

confidence: 99%

Research on management and control strategy of E-bikes based on attribute reduction method

Yingfeng

Wang

2021

Applied Mathematics and Nonlinear Sciences

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The sports characteristics of E-bikes increase the conflict between traffic participants. In this paper, the criteria of E-bike traffic conflict are given according to time distance. Based on the rough set theory, the redundant rule reduction method is developed, and the following conclusions are drawn: 1. Signal lights and video monitoring points have little effect on alleviating the traffic conflict between e-vehicles and motor vehicles; 2. Setting isolation facilities, non-motor vehicle lanes and traffic police can effectively reduce the traffic conflict. The results show that this method can effectively analyse the main influencing factors of traffic conflict.

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“…Table 2 summarizes the number of conflicts based on different PET thresholds. Different PET values could be employed to determine conflict risk levels, while smaller PET values indicate higher risk ( 31, 32 ). Significant difference could be observed for the number of conflicts with the increase of PET thresholds.…”

Section: Field Surveymentioning

confidence: 99%

Automated Safety Diagnosis Based on Unmanned Aerial Vehicle Video and Deep Learning Algorithm

Abdel-Aty

Zheng

et al. 2020

Transportation Research Record

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This paper presents an automated traffic safety diagnostics solution named “Automated Roadway Conflict Identification System” (ARCIS) that uses deep learning techniques to process traffic videos collected by unmanned aerial vehicle (UAV). Mask region convolutional neural network (R-CNN) is employed to improve detection of vehicles in UAV videos. The detected vehicles are tracked by a channel and spatial reliability tracking algorithm, and vehicle trajectories are generated based on the tracking algorithm. Missing vehicles can be identified and tracked by identifying stationary vehicles and comparing intersect of union (IOU) between the detection results and the tracking results. Rotated bounding rectangles based on the pixel-to-pixel manner masks that are generated by mask R-CNN detection are introduced to obtain precise vehicle size and location data. Based on the vehicle trajectories, post-encroachment time (PET) is calculated for each conflict event at the pixel level. By comparing the PET values and the threshold, conflicts with the corresponding pixels in which the conflicts happened can be reported. Various conflict types: rear-end, head on, sideswipe, and angle, can also be determined. A case study at a typical signalized intersection is presented; the results indicate that the proposed framework could significantly improve the accuracy of the output data. Moreover, safety diagnostics for the studied intersection are conducted by calculating the PET values for each conflict event. It is expected that the proposed detection and tracking method with UAVs could help diagnose road safety problems efficiently and appropriate countermeasures could then be proposed.

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Safety evaluation of signalized intersections with left-turn waiting area in China

Cited by 26 publications

References 19 publications

Left-turning vehicle-pedestrian conflicts at signalized intersections with traffic lights: Benefit or harm? A two-stage study

Left-turning vehicle-pedestrian conflicts at signalized intersections with traffic lights: Benefit or harm? A two-stage study

Research on management and control strategy of E-bikes based on attribute reduction method

Automated Safety Diagnosis Based on Unmanned Aerial Vehicle Video and Deep Learning Algorithm

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