Results 11 to 20 of about 11,458 (262)
Summarizing vehicle driving decision-making methods on vulnerable road user collision avoidance
Digital Transportation and Safety, 2023 With the development of intelligent vehicles and autonomous driving technology, the safety of vulnerable road user (VRU) in traffic has been more guaranteed, and many research achievements have been made in the key area of collision avoidance decision ...
Quan Yuan +5 more
doaj +1 more source
Improving attitudes towards vulnerable road users
Accident Analysis & Prevention, 2023 Some car drivers pass vulnerable road users (VRUs) at too high a speed and leave too little gap. Research suggests that out-group bias and a lack of empathy may relate to these dangerous incidents. To address this problem, four road safety videos were created with the aim of increasing car drivers' empathy toward Vulnerable Road Users (VRUs).
David Crundall, Editha van Loon
openaire +2 more sources
Identifying urban features for vulnerable road user safety in Europe
EPJ Data Science, 2022 One of the targets of the UN Sustainable Development Goals is to substantially reduce the number of global deaths and injuries from road traffic collisions.
Marina Klanjčić +3 more
doaj +1 more source
Detection of Vulnerable Road Users in Smart Cities [PDF]
2014 Eighth International Conference on Next Generation Mobile Apps, Services and Technologies, 2014 Starting from 2008, more than half of the world's population now lives in urban areas, and this number is expected to grow for the next decades. To the extent that the population of a city grows, new problems arise, which include scarcity of resources, pollution, and traffic congestion.
Francisco Guayante +2 more
openaire +1 more source
Vulnerable Road User needs towards ITS
Transactions on Transport Sciences, 2017 Due to fast development of new technologies in the field of Intelligent Transport Systems (ITS) a number of new research topics arise, especially in view of vulnerable road users (VRUs).
Daniel Bell, Ralf Risser
doaj +1 more source
BMC Ophthalmology, 2018 Background Older drivers aged ≥70 years old have among the highest rates of motor vehicle collisions (MVC) compared to other age groups. Driving is a highly visual task, and older adults have a high prevalence of vision impairment compared to other ages.
Cynthia Owsley +4 more
doaj +1 more source
Spherical Wave Array Based Positioning for Vehicular Scenarios
IEEE Access, 2020 Smart vehicles are emerging as a possible solution for multiple concerns in road traffic, such as mobility and safety. This work presents radio localization methods based on simultaneous direction of arrival (DOA), time-delay, and range estimation using ...
Marco Antonio Marques Marinho +5 more
doaj +1 more source
Fully Informed Vulnerable Road Users [PDF]
Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services, 2019 Vulnerable Road Users (VRUs) are all those with an increased vulnerability on the road, in particular non-motorised ones. Until now, the emphasis has been in politics more focused on drivers, vehicles and infrastructures. However, recent developments show a shift in other directions, with researchers now devoting efforts to improve VRUs' safety. Hence,
Bruno Fernandes 0002 +5 more
openaire +2 more sources
Vehicle to pedestrian communications for protection of vulnerable road users [PDF]
2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014 Vehicle and pedestrian collisions often result in fatality to the vulnerable road users, indicating a strong need of technologies to protect such vulnerable road users. Wireless communications have potential to support road safety by enabling road users to exchange information. In contrast to vehicle to vehicle (V2V) and vehicle to infrastructure (V2I)
José Javier Anaya +4 more
openaire +2 more sources
On the safety of vulnerable road users by cyclist detection and tracking [PDF]
Machine Vision and Applications, 2021 Timely detection of vulnerable road users is of great relevance to avoid accidents in the context of intelligent transportation systems. In this work, detection and tracking is acknowledged for a particularly vulnerable class of road users, the cyclists. We present a performance comparison between the main deep learning-based algorithms reported in the
Marichelo Garcia-Venegas +3 more
openaire +2 more sources