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Interactions between pedestrians and automated vehicles (AVs) will increase significantly with the popularity of AV. However, pedestrians often have not enough trust on the AVs , particularly when they are confused about an AV's intention…

Human-Computer Interaction · Computer Science 2022-06-08 Hailong Liu , Takatsugu Hirayama , Luis Yoichi Morales , Hiroshi Murase

Autonomous Vehicles are currently being tested in a variety of scenarios. As we move towards Autonomous Vehicles, how should intersections look? To answer that question, we break down an intersection management into the different conundrums…

Robotics · Computer Science 2018-09-10 Shravan Krishnan , Govind Aadithya R , Rahul Ramakrishnan , Vijay Arvindh , Sivanathan K

Understanding how pedestrians adjust their movement when interacting with autonomous vehicles (AVs) is essential for improving safety in mixed traffic. This study examines micro-level pedestrian behaviour during midblock encounters in the…

Physics and Society · Physics 2026-02-11 Rulla Al-Haideri , Bilal Farooq

Motivated by the need to develop simulation tools for verification and validation of autonomous driving systems operating in traffic consisting of both autonomous and human-driven vehicles, we propose a framework for modeling vehicle…

Systems and Control · Computer Science 2019-04-12 Nan Li , Yu Yao , Ilya Kolmanovsky , Ella Atkins , Anouck Girard

This article deals with the specific context of an autonomous car navigating in an urban center within a shared space between pedestrians and cars. The driver delegates the control to the autonomous system while remaining seated in the…

Human-Computer Interaction · Computer Science 2018-05-10 Eleonore Ferrier-Barbut , Dominique Vaufreydaz , Jean-Alix David , Jérôme Lussereau , Anne Spalanzani

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

Highway merging scenarios featuring mixed traffic conditions pose significant modeling and control challenges for connected and automated vehicles (CAVs) interacting with incoming on-ramp human-driven vehicles (HDVs). In this paper, we…

Machine Learning · Computer Science 2023-04-04 Nishanth Venkatesh , Viet-Anh Le , Aditya Dave , Andreas A. Malikopoulos

Pedestrian behavior prediction is one of the major challenges for intelligent driving systems in urban environments. Pedestrians often exhibit a wide range of behaviors and adequate interpretations of those depend on various sources of…

Computer Vision and Pattern Recognition · Computer Science 2020-12-02 Amir Rasouli , Tiffany Yau , Mohsen Rohani , Jun Luo

Prior research has extensively explored Autonomous Vehicle (AV) navigation in the presence of other vehicles, however, navigation among pedestrians, who are the most vulnerable element in urban environments, has been less examined. This…

Robotics · Computer Science 2021-05-04 Kasra Mokhtari , Alan R. Wagner

High-density, unsignalized intersection has always been a bottleneck of efficiency and safety. The emergence of Connected Autonomous Vehicles (CAVs) results in a mixed traffic condition, further increasing the complexity of the…

Multiagent Systems · Computer Science 2023-05-08 Shiyu Fang , Peng Hang , Chongfeng Wei , Yang Xing , Jian Sun

In shared spaces, motorized and non-motorized road users share the same space with equal priority. Their movements are not regulated by traffic rules, hence they interact more frequently to negotiate priority over the shared space. To…

Artificial Intelligence · Computer Science 2021-07-06 Fatema T. Johora , Jörg P. Müller

The connected vehicle technology is a remarkable trend in the field of the intelligent transportation system. Since the actual deployment of the connected vehicle system is still lacking hitherto, simulation is widely adopted as the major…

Systems and Control · Computer Science 2018-09-07 Weitong Zhang , Shuai Liu , Daoya Yao

In future mixed traffic Highly Automated Vehicles (HAV) will have to resolve interactions with human operated traffic. A particular problem for HAVs is detection of human states influencing safety critical decisions and driving behavior of…

Human-Computer Interaction · Computer Science 2019-02-14 Werner Damm , Martin Fränzle , Andreas Lüdtke , Jochem W. Rieger , Alexander Trende , Anirudh Unni

Autonomous vehicles (AVs) allow new ways of regulating the traffic flow on road networks. Most of available results in this direction are based on microscopic approaches, where ODEs describe the evolution of regular cars and AVs. In this…

Analysis of PDEs · Mathematics 2020-04-21 Mauro Garavello , Paola Goatin , Thibault Liard , Benedetto Piccoli

The rapid development of autonomous vehicles spurred a careful investigation of the potential benefits of all-autonomous transportation networks. Most studies conclude that autonomous systems can enable drastic improvements in performance.…

Systems and Control · Computer Science 2016-07-28 David Miculescu , Sertac Karaman

Pedestrian's crossing from unsignalized locations at intersections or midblock locations is a risky decision that could lead to fatal accidents. Despite making a decision to accept a safe gap to cross the street is a personal choice,…

Physics and Society · Physics 2019-05-24 Mohammad Ali Arman , Amir Rafe , Tobias Kretz

Traffic interactions between merging and highway vehicles are a major topic of research, yielding many empirical studies and models of driver behaviour. Most of these studies on merging use naturalistic data. Although this provides insight…

Human-Computer Interaction · Computer Science 2023-08-10 Olger Siebinga , Arkady Zgonnikov , David A. Abbink

To ensure pedestrian friendly streets in the era of automated vehicles, reassessment of current policies, practices, design, rules and regulations of urban areas is of importance. This study investigates pedestrian crossing behaviour, as an…

Human-Computer Interaction · Computer Science 2021-01-07 Arash Kalatian , Bilal Farooq

We use an immersive virtual reality environment to explore the intricate social cues that underlie non-verbal communication involved in a pedestrian's crossing decision. We "hack" non-verbal communication between pedestrian and vehicle by…

Human-Computer Interaction · Computer Science 2019-04-04 Henri Schmidt , Jack Terwilliger , Dina AlAdawy , Lex Fridman

Recent statistics reveal an alarming increase in accidents involving pedestrians (especially children) crossing the street. A common philosophy of existing pedestrian detection approaches is that this task should be undertaken by the moving…

Multiagent Systems · Computer Science 2024-05-28 Abrar Alali , Stephan Olariu , Shubham Jain
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