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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

Pedestrian safety has become an important research topic among various studies due to the increased number of pedestrian-involved crashes. To evaluate pedestrian safety proactively, surrogate safety measures (SSMs) have been widely used in…

Machine Learning · Computer Science 2023-08-01 Pei Li , Huizhong Guo , Shan Bao , Arpan Kusari

The major advances in intelligent transportation systems are pushing societal services toward autonomy where road management is to be more agile in order to cope with changes and continue to yield optimal performance. However, the…

Systems and Control · Electrical Eng. & Systems 2024-09-19 Dayuan Tan , Mohamed Younis , Wassila Lalouani , Shuyao Fan , Guozhi Song

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

Since 2012, in a case-study in Bucaramanga-Colombia, 179 pedestrians died in car accidents, and another 2873 pedestrians were injured. Each day, at least one passerby is involved in a tragedy. Knowing the causes to decrease accidents is…

Artificial Intelligence · Computer Science 2021-04-05 Michael Puentes , Diana Novoa , John Delgado Nivia , Carlos Barrios Hernández , Oscar Carrillo , Frédéric Le Mouël

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

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

Interactions between vehicles and pedestrians have always been a major problem in traffic safety. Experienced human drivers are able to analyze the environment and choose driving strategies that will help them avoid crashes. What is not yet…

Multiagent Systems · Computer Science 2017-03-29 Baiming Chen , Ding Zhao , Huei Peng

Increased interaction between and among pedestrians and vehicles in the crowded urban environments of today gives rise to a negative side-effect: a growth in traffic accidents, with pedestrians being the most vulnerable elements. Recent…

Computer Vision and Pattern Recognition · Computer Science 2022-02-07 Cristina Bustos , Daniel Rhoads , Agata Lapedriza , Javier Borge-Holthoefer , Albert Solé-Ribalta

The mortality rate for pedestrians using wheelchairs was 36% higher than the overall population pedestrian mortality rate. However, there is no data to clarify the pedestrians' categories in both fatal and nonfatal accidents, since police…

Machine Learning · Computer Science 2022-01-19 Tengfeng Lin , Zhixiong Jin , Seongjin Choi , Hwasoo Yeo

Pedestrians' safety is a crucial factor in assessing autonomous driving scenarios. However, pedestrian safety evaluation is rarely considered by existing autonomous driving simulation platforms. This paper proposes a pedestrian safety…

Artificial Intelligence · Computer Science 2024-07-31 Lin Ma , Longrui Chen , Yan Zhang , Mengdi Chu , Wenjie Jiang , Jiahao Shen , Chuxuan Li , Yifeng Shi , Nairui Luo , Jirui Yuan , Guyue Zhou , Jiangtao Gong

In recent years, road safety has attracted significant attention from researchers and practitioners in the intelligent transport systems domain. As one of the most common and vulnerable groups of road users, pedestrians cause great concerns…

Robotics · Computer Science 2021-11-09 Zheyu Zhang , Boyang Wang , Chao Lu , Jinghang Li , Cheng Gong , Jianwei Gong

Computer-based simulation of pedestrian dynamics reached meaningful results in the last decade, thanks to empirical evidences and acquired knowledge fitting fundamental diagram constraints and space utilization. Moreover, computational…

Multiagent Systems · Computer Science 2016-10-26 Luca Crociani , Daichi Yanagisawa , Giuseppe Vizzari , Katsuhiro Nishinari , Stefania Bandini

A significant number of those killed in traffic accidents annually refers to pedestrians. most of these accidents occur when a pedestrian is going to pass the street. One of the most hazardous areas for pedestrians crossing the street is…

Physics and Society · Physics 2021-01-27 Ali Mansour Khaki , Amin Mohammadnazar

Urban intersections represent a complex environment for autonomous vehicles with many sources of uncertainty. The vehicle must plan in a stochastic environment with potentially rapid changes in driver behavior. Providing an efficient…

Robotics · Computer Science 2017-04-17 Maxime Bouton , Akansel Cosgun , Mykel J. Kochenderfer

Road fatalities pose significant public safety and health challenges worldwide, with pedestrians being particularly vulnerable in vehicle-pedestrian crashes due to disparities in physical and performance characteristics. This study employs…

Machine Learning · Computer Science 2025-03-25 Methusela Sulle , Judith Mwakalonge , Gurcan Comert , Saidi Siuhi , Nana Kankam Gyimah

Avoiding collisions with vulnerable road users (VRUs) using sensor-based early recognition of critical situations is one of the manifold opportunities provided by the current development in the field of intelligent vehicles. As especially…

Computer Vision and Pattern Recognition · Computer Science 2018-03-12 Michael Goldhammer , Sebastian Köhler , Stefan Zernetsch , Konrad Doll , Bernhard Sick , Klaus Dietmayer

At the moment, urban mobility research and governmental initiatives are mostly focused on motor-related issues, e.g. the problems of congestion and pollution. And yet, we can not disregard the most vulnerable elements in the urban…

Computer Vision and Pattern Recognition · Computer Science 2021-11-10 Cristina Bustos , Daniel Rhoads , Albert Sole-Ribalta , David Masip , Alex Arenas , Agata Lapedriza , Javier Borge-Holthoefer

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

Traffic simulators are widely used to study the operational efficiency of road infrastructure, but their rule-based approach limits their ability to mimic real-world driving behavior. Traffic intersections are critical components of the…

Artificial Intelligence · Computer Science 2025-06-11 Yash Ranjan , Rahul Sengupta , Anand Rangarajan , Sanjay Ranka
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