Analysis of Pedestrian Conflict with Right-Turning Vehicles at Signalized Intersections in India

Kumar, Abhinav; Paul, Madhumita; Ghosh, Indrajit

doi:10.1061/jtepbs.0000239

Cited by 35 publications

(8 citation statements)

References 16 publications

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“…The frequent interactions between vehicles and pedestrians deserve special interest to analyze safety at intersections. [5] The priority of the pedestrians at the unsignalized crosswalks is not entirely clear. This leads to higher levels of accident of pedestrians compared to signalized crosswalks.…”

Section: Pedestrian-vehicle Interactionsmentioning

confidence: 99%

Literature review on the conflict analysis of vehicle-pedestrian interactions

Kizawi

Borsos

2021

Acta Tech. Jaurinensis

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An alternative to traffic safety analysis based on historical crash data the use of non-crash events is becoming more popular thanks to the rapid improvement in video-based vehicle trajectory processing. By means of Surrogate Measures of Safety (SMoS) in traffic conflict studies, the most critical elements on the road network can be identified and the probability of accidents can be proactively determined. This paper aims to summarize the state-of-the-art research regarding the analysis of pedestrian-vehicle interactions at unsignalized crossings, to synthetize the previous studies using Surrogate Measures of Safety (SMoS), and to identify the research gaps.

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Section: Pedestrian-vehicle Interactionsmentioning

confidence: 99%

Literature review on the conflict analysis of vehicle-pedestrian interactions

Kizawi

Borsos

2021

Acta Tech. Jaurinensis

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Section: Literature Reviewmentioning

confidence: 99%

“…For example, Porkhacheva, S. M [ 7 ] analyzed important factors affecting pedestrian crossing safety at the intersection, studied these factors, and proposed a method to evaluate the degree of danger of crosswalks at the intersection. Kumar, A et al [ 8 ] determined the severity of conflict according to the demographics of pedestrians and their street-crossing behavior. They divided the conflict indicators into four severity levels by K-means clustering and used traffic conflict technology to explore the interaction between pedestrians and right-turn (left-bound) traffic at signalized intersections, subsequently evaluating the pedestrian safety at intersections.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The intersection safety evaluation method based on traffic conflict technology can reflect the operation status of the actual traffic flow effectively and combined with the status of the operation of the intersection evaluation can be a good way to prevent the occurrence of traffic accidents. After summarizing the relevant research [ 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 ], it is found that the following four aspects can be further studied: Basic indicators cannot completely demonstrate the intersection operation safety considering pedestrian yield rules, such as TTC, PET, etc. When pedestrians and motor vehicles collide, the corresponding perception is completely different, which is rarely considered in mainstream intersection safety evaluation studies.…”

Section: Literature Reviewmentioning

confidence: 99%

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Social Force Model-Based Safety Evaluation of Intersections in Arterials Considering the Pedestrian Yield Rule

Yao

2021

IJERPH

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To enhance the safety of pedestrians crossing the street, a series of new regulations regarding pedestrian yield has been proposed and widely implemented across cities. In this study, we first made some improvements to the social force model, in which pedestrian crossing at the intersection, drivers’ psychology of giving way, vehicle yield to pedestrians, vehicle yield in different directions, the influence of pedestrians crossing boundaries, and signal lamp groups on pedestrian behavior were considered. Furthermore, pedestrian crossing and vehicle yield safety models were established, based on which the comprehensive safety evaluation model of intersections in arterials was established, in which two indices—(1) the safety degree of pedestrian crossings and (2) vehicle acceleration interference—were combined with the entropy weight method. Finally, four types of intersections in arterials were studied using a simulation: the intersections between different levels of arterials, and intersections with one-time and two-times pedestrian crossings. Moreover, safety evaluation and analysis of those intersections, considering the rule of pedestrian yield, were conducted combined with the trajectory data from the VISSIM simulation. The relevant results showed that for pedestrians crossing the street, the pedestrian safety of two-time crossing is significantly higher than that of one-time crossing, and compared with the arterial, the pedestrian crossing distance of the sub-arterial is shorter, and the pedestrian perception is safer. Moreover, due to the herd psychology effect, the increase in pedestrian flow volume improves the safety perception of pedestrians at the intersection.

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“…Researchers have studied the crossing behavior of pedestrians in relation to gender and group. Males have been found to be at greater risk than females while crossing (19)(20)(21). Ferenchak and Katirai suggested that groups containing many pedestrians are more likely to exhibit risky crossing behavior than groups containing fewer pedestrians (22).…”

Section: Literature Reviewmentioning

confidence: 99%

Analysis of Spontaneous Order of Pedestrian–Vehicle Conflicts at Signalized Intersections

Kumar

Ghosh

2020

Transportation Research Record: Journal of the Transportation R

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Unsafe interactions among road users are often seen on the urban networks of India. The conventional transportation planning method deals with this problem by segregating different modes to minimize intermodal conflicts. However, another school of thought recommends that spaces should be designed to ensure minimum segregation between road users by removing physical barriers and eliminating rules. Once the rules are lifted, road users become attentive to their surroundings, and therefore spontaneous order emerges. The main objective of this study is to explore the yielding behavior of road users during conflicts and analyze the spontaneous order developed at intersections. Traffic data was collected from 12 signalized intersections in India. A total of 1,785 conflicts between pedestrians and vehicles were observed during peak hours at the intersection locations. The modal dominance was examined for whether a pedestrian yields to a vehicle or vice versa. Two multiple linear regression models were developed to analyze the effect of various factors (speed and volume of pedestrians and vehicles, and size of intersection) on the number of conflicts and the proximity of conflicts. The dominance of pedestrians and vehicles was predicted with the help of the binary logit model. The model results suggested that vehicle volume, type of vehicle, noncompliance with signals by pedestrians, number of pedestrians crossing in a group, type of pedestrian–vehicle interaction, and size of intersection are some of the major factors that are significant predictors of the dominance of road users.

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Analysis of Pedestrian Conflict with Right-Turning Vehicles at Signalized Intersections in India

Cited by 35 publications

References 16 publications

Literature review on the conflict analysis of vehicle-pedestrian interactions

Literature review on the conflict analysis of vehicle-pedestrian interactions

Social Force Model-Based Safety Evaluation of Intersections in Arterials Considering the Pedestrian Yield Rule

Analysis of Spontaneous Order of Pedestrian–Vehicle Conflicts at Signalized Intersections

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