Searched for: subject%3A%22Driver%255C+behaviour%22
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Ashkrof, P. (author)
This PhD thesis delves into the intricate realm of supply-side behavioural dynamics and operations within the ride-sourcing system. It investigates drivers' pivotal decisions, focusing on ride acceptance and relocation choices at the operational level. By leveraging a unique dataset, novel theories on ride-sourcing drivers’ behaviour are...
doctoral thesis 2023
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Yuan, Y. (author), Wang, X. (author), Calvert, S.C. (author), Happee, R. (author), Wang, M. (author)
Current driver behaviour models (DBMs) are primarily designed for the general driver population under specific scenarios, such as car following or lane changing. Hence DBMs capturing individual behaviour under various scenarios are lacking. This paper presents a novel method to quantify individual perceived driving risk in the longitudinal...
journal article 2023
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Khan, Shinthia Azmeri (author), Afghari, A.P. (author), Yasmin, Shamsunnahar (author), Haque, Md Mazharul (author)
Run-off-road crashes are one of the most common crash types, especially in rural roadway environments contributing significantly to fatalities and severe injuries. These crashes are complex and multi-dimensional events, and factors like road geometry, driver behaviour, traffic characteristics and roadside features contribute to their occurrence,...
journal article 2023
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Truelove, Verity (author), Stefanidis, Kayla (author), Oviedo-Trespalacios, O. (author)
Mobile phone use while driving continues to be a significant road safety concern, despite the severe legal countermeasures to reduce this behaviour. Phone use while driving-related crashes have been demonstrated to be an issue in rural areas, yet research into the impact of legal sanctions on phone use while driving has primarily focussed on...
journal article 2023
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Li, Zirui (author), Gong, Cheng (author), Lin, Yunlong (author), Li, G. (author), Wang, Xinwei (author), Lu, Chao (author), Wang, Miao (author), Chen, Shanzhi (author), Gong, Jianwei (author)
Modelling, predicting and analysing driver behaviours are essential to advanced driver assistance systems (ADAS) and the comprehensive understanding of complex driving scenarios. Recently, with the development of deep learning (DL), numerous driver behaviour learning (DBL) methods have been proposed and applied in connected vehicles (CV) and...
review 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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Rahmillah, Fety Ilma (author), Tariq, Amina (author), King, Mark (author), Oviedo-Trespalacios, O. (author)
Maladaptive Mobile Phone Use (MMPU) (also known as Smartphone Addiction, Nomophobia, Fear of Missing Out, or Problematic Mobile Phone Use) is a growing mental health problem. However, the health and safety consequences of MMPU remain unexplored in many real-life contexts. A potential setting where MMPU may have some negative repercussions is on...
journal article 2023
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Ashkrof, P. (author), Correia, Gonçalo (author), Cats, O. (author), van Arem, B. (author)
Ride-sourcing drivers, as individual service suppliers, can freely adopt their own relocation strategies, including waiting, cruising freely, or following the platform recommendations. These decisions substantially impact the balance between supply and demand, and consequently affect system performance. We conducted a stated choice experiment...
journal article 2023
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Surana, Iva (author)
Naturalistic driving research with a focus on trucks has been gaining momentum in the past decade. With the advancement in sensor technology and access to big data, it becomes possible to understand driver behaviour at a more fundamental level. This can assist in mitigating the impact trucks have on the environment while enhancing safety....
master thesis 2022
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Ashkrof, P. (author), Correia, Gonçalo (author), Cats, O. (author), van Arem, B. (author)
The performance of ride-sourcing services such as Uber and Lyft is determined by the collective choices of individual drivers who are not only chauffeurs but private fleet providers. In such a context, ride-sourcing drivers are free to decide whether to accept or decline ride requests assigned by the ride-hailing platform. Drivers’ ride...
journal article 2022
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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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Varotto, Silvia F. (author), Mons, Celina (author), Hogema, Jeroen H. (author), Christoph, Michiel (author), van Nes, C.N. (author), Martens, Marieke H. (author)
Advanced driver assistance systems such as adaptive cruise control (ACC) and lane keeping system (LKS) potentially contribute to reducing crash rates and traffic congestion. On-road studies based on early ACC systems operational at medium–high speeds only have shown that the system reduces the proportion of short time gaps when activated....
journal article 2022
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Vos, J. (author), Farah, H. (author), Hagenzieker, Marjan (author)
Operating speeds in Dutch freeway curves differ often by 20 km/h compared to their design speeds. Operating speed is thought to be influenced by how drivers perceive curves when approaching a curve. This explorative research explores which curve cues and other variables influence drivers’ speed choice in curves. For this purpose, a survey was...
journal article 2021
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Varotto, Silvia F. (author), Jansen, Reinier (author), Bijleveld, Frits (author), van Nes, C.N. (author)
Automatic incident detection (AID) systems and variable speed limits (VSLs) can reduce crash probability and traffic congestion. Studies based on loop detector data have shown that AID systems decrease the variation in speeds between drivers. Despite the impact on driver behaviour characteristics, most mathematical models evaluating the...
journal article 2021
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Varotto, Silvia F. (author), Jansen, Reinier (author), Bijleveld, Frits (author), van Nes, C.N. (author)
Traffic congestion and crash rates can be reduced by introducing variable speed limits (VSLs) and automatic incident detection (AID) systems. Previous findings based on loop detector measurements have revealed that drivers reduce their speeds while approaching traffic congestion when the AID system is active. Notwithstanding these behavioural...
journal article 2021
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Athanasiadis, Omiros (author)
The question of how well in terms of safety can a driver take over control of an automated vehicle in response to an emergency situation is of crucial importance. Most of the studies performed so far focus on the drivers’ reaction times and the mechanisms behind the transition. In this study, an effort is made to incorporate the braking times...
master thesis 2020
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Varotto, S.F. (author), Farah, H. (author), Bogenberger, Klaus (author), van Arem, B. (author), Hoogendoorn, S.P. (author)
Adaptive Cruise Control (ACC) can reduce traffic congestion and accidents. In dense traffic flow conditions and when changing lanes, drivers prefer to deactivate the ACC. These control transitions between automation and manual driving could impact driver behaviour characteristics. However, few studies have analysed the magnitude and duration of...
journal article 2020
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Ashkrof, P. (author), Correia, Gonçalo (author), Cats, O. (author), van Arem, B. (author)
Ride-sourcing has recently been at the centre of attention as the most disruptive mode of transport associated with the so-called shared mobility era. Drivers, riders, the platform, policymakers, and the general public are considered as the main stakeholders of the system. While ride-sourcing platforms have been growing, so did the heightened...
journal article 2020
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Razmi Rad, S. (author), Farah, H. (author), Taale, Henk (author), van Arem, B. (author), Hoogendoorn, S.P. (author)
Dedicated Lanes (DLs) have been proposed as a potential scenario for the deployment of Automated and/or Connected Vehicles (C/AVs) on the road network. However, evidence-based knowledge regarding the impacts of different design configurations, utilization policies, and the design of their access/egress on traffic safety and efficiency is...
journal article 2020
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Mullakkal-Babu, F.A. (author), Wang, M. (author), He, X. (author), van Arem, B. (author), Happee, R. (author)
We present an approach to assess the risk taken by on-road vehicles within the framework of artificial field theory, envisioned for safety analysis and design of driving support/automation applications. Here, any obstacle (neighboring entity on the road) to the subject vehicle is treated as a finite scalar risk field that is formulated in the...
journal article 2020
Searched for: subject%3A%22Driver%255C+behaviour%22
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