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Related papers: Uncertainty behaviour during illegal road crossing

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Followership is generally defined as a strategy that evolved to solve social coordination problems, and particularly those involved in group movement. Followership behaviour is particularly interesting in the context of road-crossing…

Physics and Society · Physics 2018-05-31 Marie Pele , Jean-Louis Deneubourg , Cedric Sueur

Human beings have to make numerous decisions every day, and these decisions might be biased and influenced by different personal, social and/or environmental variables. Pedestrians are ideal subjects for the study of decision-making, due to…

Physics and Society · Physics 2018-05-31 Marie Pele , Jean-Louis Deneubourg , Cedric Sueur

Understanding and predicting pedestrian crossing behavior is essential for enhancing automated driving and improving driving safety. Predicting gap selection behavior and the use of zebra crossing enables driving systems to proactively…

Machine Learning · Computer Science 2024-04-16 Chi Zhang , Janis Sprenger , Zhongjun Ni , Christian Berger

Predicting pedestrian crossing behavior is important for intelligent traffic systems to avoid pedestrian-vehicle collisions. Most existing pedestrian crossing behavior models are trained and evaluated on datasets collected from a single…

Machine Learning · Computer Science 2024-12-06 Chi Zhang , Janis Sprenger , Zhongjun Ni , Christian Berger

The modelling and simulation of the interaction among vehicles and pedestrians during cross-walking is an open challenge for both research and practical computational solutions supporting urban/traffic decision makers and managers. The…

Multiagent Systems · Computer Science 2016-10-26 Andrea Gorrini , Giuseppe Vizzari , Stefania Bandini

The contribution of this paper is twofold. The first is a novel dataset for studying behaviors of traffic participants while crossing. Our dataset contains more than 650 samples of pedestrian behaviors in various street configurations and…

Robotics · Computer Science 2017-02-14 Amir Rasouli , Iuliia Kotseruba , John K. Tsotsos

Environmental, demographical and psychological factors have a demonstrated impact on risky crossing behaviour. In this work we focus on the potential influence of social factors on the considered phenomenon (i.e. group crossing decision).…

Multiagent Systems · Computer Science 2018-01-10 Andrea Gorrini , Luca Crociani , Giuseppe Vizzari , Stefania Bandini

Red light running at signalised intersections is a growing road safety issue worldwide, leading to the rapid development of advanced intelligent transportation technologies and countermeasures. However, existing studies have yet to…

The majority of research on safety in autonomous vehicles has been conducted in structured and controlled environments. However, there is a scarcity of research on safety in unregulated pedestrian areas, especially when interacting with…

Robotics · Computer Science 2025-04-22 Enrico Del Re , Novel Certad , Joshua Varughese , Cristina Olaverri-Monreal

This research project's objective was to investigate the impacts of transit stop location (near-side versus far-side) on pedestrian safety and traffic operations. Three different video-based behavioral observation data collections at…

Physics and Society · Physics 2024-08-20 Fariba Soltani Mandolakani , Atul Subedi , Patrick A. Singleton , Michelle Mekker

Pedestrian safety is a critical public health priority, with pedestrian fatalities accounting for 18% of all U.S. traffic deaths in 2022. The rising prevalence of distracted walking, exacerbated by mobile device use, poses significant risks…

Human-Computer Interaction · Computer Science 2025-03-24 Methusela Sulle , Judith Mwakalonge , Gurcan Comert , Saidi Siuhi , Nana Kankam Gyimah , Jaylen Roberts , Denis Ruganuza

A novel head-mounted virtual immersive/interactive reality environment (VIRE) is utilized to evaluate the behaviour of participants in three pedestrian road crossing conditions while 1) not distracted, 2) distracted with a smartphone, and…

Human-Computer Interaction · Computer Science 2018-06-19 Anae Sobhani , Bilal Farooq

It is commonly expected that drivers maintain a driving speed that is lower than or around the posted speed limit, as failure to obey may result in safety risks and fines. By taking randomly selected road segments as examples, this study…

Physics and Society · Physics 2023-11-29 Zhengbing He , Mirco Nanni , Luca Pappalardo , Paolo Santi , Carlo Ratti

The pattern of pedestrian crashes varies greatly depending on lighting circumstances, emphasizing the need of examining pedestrian crashes in various lighting conditions. Using Louisiana pedestrian fatal and injury crash data (2010-2019),…

Machine Learning · Statistics 2022-11-08 Ahmed Hossain , Xiaoduan Sun , Raju Thapa , Julius Codjoe

Understanding cultural backgrounds is crucial for the seamless integration of autonomous driving into daily life as it ensures that systems are attuned to diverse societal norms and behaviours, enhancing acceptance and safety in varied…

Human-Computer Interaction · Computer Science 2024-08-07 Sergio Martín Serrano , Óscar Méndez Blanco , Stewart Worrall , Miguel Ángel Sotelo , David Fernández-Llorca

A significant problem in designing mobile robot control systems involves coping with the uncertainty that arises in moving about in an unknown or partially unknown environment and relying on noisy or ambiguous sensor data to acquire…

Artificial Intelligence · Computer Science 2013-04-05 K. Bayse , M. Lejter , Keiji Kanazawa

In human crowds as well as in many animal societies, local interactions among individuals often give rise to self-organized collective organizations that offer functional benefits to the group. For instance, flows of pedestrians moving in…

When asked, a majority of people believe that, as pedestrians, they make eye contact with the driver of an approaching vehicle when making their crossing decisions. This work presents evidence that this widely held belief is false. We do so…

Human-Computer Interaction · Computer Science 2019-04-09 Dina AlAdawy , Michael Glazer , Jack Terwilliger , Henri Schmidt , Josh Domeyer , Bruce Mehler , Bryan Reimer , Lex Fridman

A common yet potentially dangerous task is the act of crossing the street. Pedestrian accidents contribute a significant amount to the high number of annual traffic casualties, which is why it is crucial for pedestrians to use safety…

Computer Vision and Pattern Recognition · Computer Science 2022-08-16 Eric Liang , Mark Stamp

Humans, as both pedestrians and drivers, generally skillfully navigate traffic intersections. Despite the uncertainty, danger, and the non-verbal nature of communication commonly found in these interactions, there are surprisingly few…

Human-Computer Interaction · Computer Science 2019-04-09 Jack Terwilliger , Michael Glazer , Henri Schmidt , Josh Domeyer , Heishiro Toyoda , Bruce Mehler , Bryan Reimer , Lex Fridman
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