Non-compliance behaviour of pedestrians and the associated conflicts at signalized intersections in India

Kumar, Abhinav; Ghosh, Indrajit

doi:10.1016/j.ssci.2021.105604

Cited by 13 publications

(3 citation statements)

References 57 publications

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“…Also, in Serbia, the most significant number of violations is persons who walk by necessity (37). In India, the violation commonly causes serious crashes (38). Moreover, it showed that pedestrian violations were one of the most dangerous behaviors that play a role in both the frequency and the severity of pedestrian collisions with vehicles (17).…”

Section: Discussionmentioning

confidence: 99%

Investigating the behavior of pedestrians and related factors in northern Iran in 2021

et al. 2023

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Among all road users, pedestrian behavior is most unpredictable, and our knowledge of pedestrian behavior and compliance in northern Iran is limited. The aim of the study was to determine the self-reporting behavior of pedestrians and related factors in northern Iran in 2021. This cross-sectional study’s research tool included demographic characteristics, social characteristics, and a pedestrian behavior questionnaire (PBS – 43 questions). Data collection was randomly performed in 30 different passages around Rasht (a city in the north of Iran). We used the Poisson regression model and statistical software STATA version 15 for data analysis. With increasing age, pedestrians showed better crossing behavior ( p < 0.001, β = 0.202), and the behavior of female pedestrians was better than that of male pedestrians ( p < 0.001, β −4.79). As pedestrians, those with private jobs had worse crossing behavior than others ( p < 0.045, β = 9.380), and those pedestrians who mentioned they were motorcyclists before had worse crossing behavior than others ( p < 0.045, β = 9.380). The findings of this study can be used to establish pedestrian safety and preventative planning. In behavior change intervention programs, it is best to target young male pedestrians aiming to walk to their workplace, a private business. In addition, the behavior of pedestrians whose predominant means of transportation is the motorcycle must be corrected. It is necessary to conduct information campaigns and educational programs for pedestrians with common high-risk behaviors, especially errors and violations.

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Section: Discussionmentioning

confidence: 99%

Investigating the behavior of pedestrians and related factors in northern Iran in 2021

et al. 2023

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“…This goes to show the critical role that proactive safety assessments play in addressing safety concerns of active road users for the future of AV technologies. The traffic conflict technique was established as a reliable and proactive safety assessment tool that has been successfully used to address numerous safety applications in the literature, for example, Hussein et al ( 30 , 31 ), Tageldin et al ( 32 ), Zaki et al ( 33 ), Kumar and Ghosh ( 34 ), and Nasernejad ( 35 ). In this technique, the frequency and severity of the observed conflicts between road users are used as a surrogate measure for actual collisions.…”

Section: Literature Reviewmentioning

confidence: 99%

Active Road User Interactions With Autonomous Vehicles: Proactive Safety Assessment

Alozi

Hussein

2023

Transportation Research Record: Journal of the Transportation R

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This study aims to conduct a thorough assessment of pedestrian and cyclist safety in autonomous vehicle (AV) environments. To that end, the study utilized AV sensor data of over 1,500 driving hours from five sources in Canada, the United States, and Singapore. The sensor data were used to extract conflicts between AVs and active road users. The conflicts were then processed to develop accurate estimates of AV collisions involving pedestrians and cyclists based on the extreme value theory. Further in-depth assessments were conducted on the identified conflicts, by type and location, to highlight potential issues leading to risky conflicts. The results showed that the total number of predicted AV collisions involving active road users was 2.17 collisions per million AV kilometers travelled. Collisions involving pedestrians were slightly higher than those involving cyclists. Also, collisions in clear weather conditions slightly exceeded collisions in adverse weather conditions, although the difference was not statistically significant. The relative risk of collisions was developed for both pedestrian and cyclist conflicts per AV movement type. The results showed that for pedestrians, interactions with right-turning AVs are the riskiest, while interactions with left-turning AVs are the riskiest for cyclists. A thorough analysis of conflicts revealed many issues, including a higher tendency for pedestrian violations when interacting with AVs, aggressive AV behavior (particularly when interacting with pedestrians while making a right turn), AVs struggling to predict the path of cyclists (mainly because of cyclist violations), and AVs failing to interpret pedestrian intentions in some cases.

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“…The challenge, in this case, is in locating multiple objects, maintaining their identities, and yielding their trajectories given an input video (in the case of computer vision applications). Objects to label, in this case, can be pedestrians [62] or vehicles [63] in the road safety management field.…”

Section: Visual Systemmentioning

confidence: 99%

Human Control Model Estimation in Physical Human–Machine Interaction: A Survey

Scibilia

Pedrocchi

Fortuna

2022

Sensors

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The study of human–machine interaction as a unique control system was one of the first research interests in the engineering field, with almost a century having passed since the first works appeared in this area. At the same time, it is a crucial aspect of the most recent technological developments made in application fields such as collaborative robotics and artificial intelligence. Learning the processes and dynamics underlying human control strategies when interacting with controlled elements or objects of a different nature has been the subject of research in neuroscience, aerospace, robotics, and artificial intelligence. The cross-domain nature of this field of study can cause difficulties in finding a guiding line that links motor control theory, modelling approaches in physiological control systems, and identifying human–machine general control models in manipulative tasks. The discussed models have varying levels of complexity, from the first quasi-linear model in the frequency domain to the successive optimal control model. These models include detailed descriptions of physiologic subsystems and biomechanics. The motivation behind this work is to provide a complete view of the linear models that could be easily handled both in the time domain and in the frequency domain by using a well-established methodology in the classical linear systems and control theory.

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Non-compliance behaviour of pedestrians and the associated conflicts at signalized intersections in India

Cited by 13 publications

References 57 publications

Investigating the behavior of pedestrians and related factors in northern Iran in 2021

Investigating the behavior of pedestrians and related factors in northern Iran in 2021

Active Road User Interactions With Autonomous Vehicles: Proactive Safety Assessment

Human Control Model Estimation in Physical Human–Machine Interaction: A Survey

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