A5059540023- Human-Automation Interaction and Safety
- Traffic and Road Safety
- Autonomous Vehicle Technology and Safety
- Safety Warnings and Signage
- Transportation and Mobility Innovations
- Traffic control and management
- Older Adults Driving Studies
- Urban Transport and Accessibility
- Evacuation and Crowd Dynamics
- Sleep and Work-Related Fatigue
- Transportation Planning and Optimization
- Vehicle emissions and performance
- Visual perception and processing mechanisms
- Ergonomics and Musculoskeletal Disorders
- Traffic Prediction and Management Techniques
- Gaze Tracking and Assistive Technology
- Spatial Cognition and Navigation
- Virtual Reality Applications and Impacts
- Noise Effects and Management
- Vehicle Dynamics and Control Systems
- Technology Adoption and User Behaviour
- Data-Driven Disease Surveillance
- EEG and Brain-Computer Interfaces
- Risk and Safety Analysis
- Customer churn and segmentation
University of Leeds
2015-2024
Delft University of Technology
2021-2024
Chalmers University of Technology
2023
The Quebec Population Health Research Network
2022
Pontifical Catholic University of Rio de Janeiro
2022
University of Helsinki
2021
Institute of Transport Engineering
2019
Keio University
2019
European Center for Information and Communication Technologies
2019
Unilever (United Kingdom)
2003
A driving simulator study was designed to investigate drivers' ability resume control from a highly automated vehicle in two conditions: (i) when automation switched off and manual required at system-based, regular interval (ii) transition based on the length of time drivers were looking away road ahead. In addition studying it took successfully system, eye tracking data used observe visual attention surrounding environment pattern fixations as resumed conditions. Results showed that...
Objective: A driving simulator study compared the effect of changes in workload on performance manual and highly automated driving. Changes driver state were also observed by examining variations blink patterns. Background: With addition a greater number advanced assistance systems vehicles, driver’s role is likely to alter future from an operator supervisor cars. Understanding implications such advancements drivers road safety important. Method: total 50 participants recruited for this...
The study was designed to show how driver attention the road scene and engagement of a choice secondary tasks are affected by level automation provided assist or take over basic task vehicle control. It also investigate difference between support in longitudinal control lateral control.There is comparatively little literature on implications for drivers' driving their willingness engage non-driving-related activities.A carried out high-level simulator which drivers experienced three levels...
As research into innovative forms of automated transportation systems gains momentum, it is important that we develop an understanding the factors will impact adoption these systems. In effort to address this issue, European project CityMobil2 collecting data around large-scale demonstrations Automated Road Transport Systems (ARTS) in a number cities across Europe. For be successful, user acceptance vital. The current study used Unified Theory Acceptance and Use Technology (UTAUT)...
Automated driving can fundamentally change road transportation and improve quality of life. However, at present, the role humans in automated vehicles (AVs) is not clearly established. Interviews were conducted April May 2015 with 12 expert researchers field human factors (HFs) to identify commonalities distinctive perspectives regarding HF challenges development AVs. The experts indicated that an AV up SAE Level 4 should inform its driver about AV's capabilities operational status, ensure...
Objective: The objective of this paper was to outline an explanatory framework for understanding effects cognitive load on driving performance and review the existing experimental literature in light framework. Background: Although there is general consensus that taking eyes off forward roadway significantly impairs most aspects driving, primarily cognitively loading tasks are not well understood. Method: Based models driver attention, outlined. This can be summarized terms control...
Despite an abundant use of the term "Out loop" (OOTL) in context automated driving and human factors research, there is currently a lack consensus on its precise definition, how it can be measured, practical implications being or out loop during driving. The main objective this paper to consider above issues, with goal achieving shared understanding OOTL concept between academics practitioners. To end, reviews existing definitions outlines set concepts, which, based driver behaviour...
We investigated public acceptance of conditionally automated (SAE Level 3) passenger cars using a questionnaire study among 9,118 car-drivers in eight European countries, as part the L3Pilot project. 71.06% respondents considered easy to use while 28.03% planned buy car once it is available. 41.85% would like time for secondary activities. Among these 41.85%, plan talk fellow travellers (44.76%), surf internet, watch videos or TV shows (44%), observe landscape (41.70%), and work (17.06%)....
As the desire for deploying automated ("driverless") vehicles increases, there is a need to understand how they might communicate with other road users in mixed traffic, urban, setting. In absence of an active and responsible human controller driving seat, who currently uncertain/conflicting situations, future, understanding driverless car's behaviour intentions will be relayed via easily comprehensible, intuitive universally intelligible means, perhaps presented externally new vehicle...
Rapid advances in technology for highly automated vehicles (HAVs) have raised concerns about coexistence of HAVs and human road users. Although there is a long tradition research into user interactions, lack shared models terminology to support cross-disciplinary development towards safe acceptable interaction-capable HAVs. Here, we review the main themes findings previous theoretical empirical interaction research, find large variability perspectives terminologies. We unify these...
Abstract To be successful, automated vehicles (AVs) need to able manoeuvre in mixed traffic a way that will accepted by road users, and maximises safety efficiency. A likely prerequisite for this success is AVs communicate effectively with other users complex environment. The current study, conducted as part of the European project interACT, investigates communication strategies used drivers pedestrians while crossing at six observed locations, across three countries. In total, 701 user...
Automated driving research over the past decades has mostly focused on highway environments. Recent technological developments have drawn researchers and manufacturers to look ahead at introducing automated in cities. The current position paper examines this challenge from viewpoint of scientific experts. Sixteen Human Factors were interviewed about their personal perspectives vehicles (AVs) interaction with VRUs future urban environment. Aspects such as smart infrastructure, external...
This special section brings together diverse research regarding driver interaction with advanced automotive technology to guide design of increasingly automated vehicles.Rapidly evolving vehicle automation will likely change cars and trucks more in the next 5 years than preceding 50, radically redefining what it means drive.This includes 10 articles from European North American researchers reporting simulator naturalistic driving studies.Little has considered consequences fully driving, most...
Autonomous vehicles (AVs) must share space with pedestrians, both in carriageway cases such as cars at pedestrian crossings and off-carriageway delivery navigating through crowds on pedestrianized high-streets. Unlike static obstacles, pedestrians are active agents complex, interactive motions. Planning AV actions the presence of thus requires modelling their probable future behavior well detecting tracking them. This narrative review article is Part II a pair, together surveying current...
This desktop driving simulator study investigated the effect of engagement in a reading task during vehicle automation on drivers’ ability to resume manual control and successfully avoid an impending collision with stationary vehicle. To collision, drivers were required regain automated change lane. The decision-making element this lane was manipulated by asking move into they saw fit (left or right) use colour as rule (blue – left, red right). Drivers’ reaction compared two conditions: (i)...
Background A proposed advantage of vehicle automation is that it relieves drivers from the moment-to-moment demands driving, to engage in other, non-driving related, tasks. However, important gain an understanding drivers’ capacity resume manual control, should such a need arise. As removes control-based measures as performance indicator, other metrics must be explored. Methods This driving simulator study, conducted under European Commission (EC) funded AdaptIVe project, assessed gaze...