Searched for: subject%3A%22road%255C+safety%22
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Bazilinskyy, P. (author), Merino Martinez, R. (author), Ozcan Vieira, E. (author), Dodou, D. (author), de Winter, J.C.F. (author)
Exterior vehicle sounds have been introduced in electric vehicles and as external human–machine interfaces for automated vehicles. While previous research has studied the effect of exterior vehicle sounds on detectability and acceptance, the present study takes on a different approach by examining the efficacy of such sounds in deterring...
journal article 2023
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Papadimitriou, E. (author), Afghari, A.P. (author), Tselentis, D. (author), van Gelder, P.H.A.J.M. (author)
Road safety research is largely focused on prediction and prevention of technical, human or organisational failures that may result in critical conflicts or crashes. Indicators of traffic risk aim to capture the passage to unsafe states. However, research in other industries has shown that it is meaningful to analyse safety along the whole...
journal article 2022
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Farah, H. (author), Azevedo, Carlos Lima (author)
The increased availability of detailed trajectory data sets from naturalistic, observational, and simulation-based studies, is a key source for potential improvements in the development of detailed safety models that explicitly account for vehicle conflict interactions and various driving maneuvers. Despite the well-recognized research...
journal article 2017
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Nurunnabi, A. (author), Teferle, F. N. (author), Lindenbergh, R.C. (author), Li, J. (author), Zlatanova, S. (author)
Road surface extraction is crucial for 3D city analysis. Mobile laser scanning (MLS) is the most appropriate data acquisition system for the road environment because of its efficient vehicle-based on-road scanning opportunity. Many methods are available for road pavement, curb and roadside way extraction. Most of them use classical approaches...
journal article 2022
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Martínez-Buelvas, Laura (author), Rakotonirainy, Andry (author), Grant-Smith, Deanna (author), Oviedo-Trespalacios, O. (author)
Connected and automated vehicles (CAVs) are expected to revolutionise transport worldwide and transform urban life. However, there are many unknowns concerning the impacts of these technologies in terms of sustainability, justice, and safety. It has been suggested that CAVs may exacerbate inequities and safety disparities concerning the...
journal article 2022
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Quy Nguyen-Phuoc, Duy (author), Ngoc Thi Nguyen, Ly (author), Ngoc Su, Diep (author), Nguyen Hoang Minh, M. (author), Oviedo-Trespalacios, O. (author)
Food delivery riders are overrepresented in road crashes. Arguably, the increased risk experienced by food delivery riders is linked to the working conditions offered by the “gig economy”. Research is needed to fully understand the safety-related issues this vulnerable group of road users face daily and identify opportunities for counter...
journal article 2023
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Bazilinskyy, P. (author), Eisma, Y.B. (author), Dodou, D. (author), de Winter, J.C.F. (author)
Objective: Research has shown that perceived risk is a vital variable in the understanding of road traffic safety. Having experience in a particular traffic environment can be expected to affect perceived risk. More specifically, drivers may readily recognize traffic hazards when driving in their own world region, resulting in high perceived...
journal article 2020
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Zheng, Huarong (author), Wu, Jun (author), Wu, Weimin (author), Negenborn, R.R. (author)
The rapidly developing computing and communication technologies improve the autonomy of individual vehicles on the one hand and facilitate the coordination among vehicles on the other. In the context of dynamic speed management, this study considers a platoon of intelligent vehicles that are required to maintain desired inter-vehicle spaces and...
journal article 2019
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Cavadas, Joana (author), Azevedo, Carlos Lima (author), Farah, H. (author), Ferreira, Ana (author)
Observed accidents have been the main resource for road safety analysis over the past decades. Although such reliance seems quite straightforward, the rare nature of these events has made safety difficult to assess, especially for new and innovative traffic treatments. Surrogate measures of safety have allowed to step away from traditional...
journal article 2020
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Jiang, Junfeng (author), Chen, Qiushi (author), Xue, J. (author), Wang, Haobo (author), Chen, Zhijun (author)
The representation and discrimination of various traffic states play an essential role in solving traffic accidents and congestion as the foundation of traffic state prediction. However, the existing representation of the traffic state usually only considers the road congestion layer and divides the traffic state into congested and unblocked....
journal article 2020
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Eisma, Y.B. (author), van Bergen, Steven (author), ter Brake, Sjoerd (author), Hensen, Matthijs (author), Tempelaar, Willem Jan (author), de Winter, J.C.F. (author)
In the future, automated cars may feature external human–machine interfaces (eHMIs) to communicate relevant information to other road users. However, it is currently unknown where on the car the eHMI should be placed. In this study, 61 participants each viewed 36 animations of cars with eHMIs on either the roof, windscreen, grill, above the...
journal article 2020
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Huang, B. (author), van Cranenburgh, S. (author), Chorus, C.G. (author)
Although Automated vehicles (AVs) are expected to have a major and positive effect on road safety, recent accidents caused by AVs tend to generate a powerful negative impact on the public opinion regarding safety aspects of AVs. Triggered by such incidents, many experts and policy makers now believe that paradoxically, safety perceptions may...
journal article 2020
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Tselentis, D. (author), Papadimitriou, E. (author)
This study reviews the Artificial Intelligence and Machine Learning approaches developed thus far for driver profile and driving pattern recognition, representing a set of macroscopic and microscopic behaviors respectively, to enhance the understanding of human factors in road safety, and therefore reduce the number of crashes. It provides a...
journal article 2023
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Truelove, Verity (author), Watson-Brown, Natalie (author), Oviedo-Trespalacios, O. (author)
Objectives: Various legal countermeasures have been introduced in numerous jurisdictions worldwide to reduce the risky behaviour of phone use while driving. However, external factors do not influence behaviour alone; internal factors may also play a large role in influencing behaviour. Therefore, the aim of this study was to examine the impact...
journal article 2023
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Papadimitriou, E. (author), Argyropoulou, Anastasia (author), Tselentis, Dimitrios I. (author), Yannis, George (author)
The aim of this paper is to explore driving behaviour during mobile phone use on the basis of detailed driving analytics collected by smartphone sensors. The data came from a sample of one hundred drivers (18,850 trips) during a naturalistic driving experiment over four months. A specially developed smartphone application was used, through...
journal article 2019
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Tafidis, Pavlos (author), Pirdavani, Ali (author), Brijs, Tom (author), Farah, H. (author)
Automated vehicles (AVs) are expected to assist in decreasing road traffic fatalities, particularly among passenger cars. However, until now limited research has been conducted on how they will impact the safety of vulnerable road users (VRUs) (i.e., cyclists and pedestrians). Therefore, there is a clear need to start taking into account the...
journal article 2019
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Hagenzieker, Marjan (author), van der Kint, Sander (author), Vissers, Luuk (author), van Schagen, Ingrid N.L.G. (author), de Bruin, Jonathan (author), van Gent, P. (author), Commandeur, Jacques J.F. (author)
Cyclists may have incorrect expectations of the behaviour of automated vehicles in interactions with them, which could bring extra risks in traffic. This study investigated whether expectations and behavioural intentions of cyclists when interacting with automated cars differed from those with manually driven cars. A photo experiment was...
journal article 2019
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Houtenbos, M (author), de Winter, J.C.F. (author), Hale, A.R. (author), Wieringa, P.A. (author), Hagenzieker, Marjan (author)
A large portion of road traffic crashes occur at intersections for the reason that drivers lack necessary visual information. This research examined the effects of an audio-visual display that provides real-time sonification and visualization of the speed and direction of another car approaching the crossroads on an intersecting road. The...
journal article 2017
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Knapper, A.S. (author), Nes, Nicole Van (author), Christoph, Michiel (author), Hagenzieker, Marjan (author), Brookhuis, K.A. (author)
Objective: In this study, we assessed the use of portable navigation systems in everyday driving by applying in-vehicle naturalistic driving. Method: Experienced users of navigation systems, 7 females and 14 males, were provided with a specially equipped vehicle for approximately 1 month. Their trips were recorded using 4 cameras, Global...
journal article 2016
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Rodríguez Palmeiro, A. (author), Van der Kint, S. (author), Vissers, Luuk (author), Farah, H. (author), de Winter, J.C.F. (author), Hagenzieker, Marjan (author)
Automated vehicles (AVs) will be introduced on public roads in the future, meaning that traditional vehicles and AVs will be sharing the urban space. There is currently little knowledge about the interaction between pedestrians and AVs from the point of view of the pedestrian in a real-life environment. Pedestrians may not know with which...
journal article 2018
Searched for: subject%3A%22road%255C+safety%22
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