A5078075851- Human-Automation Interaction and Safety
- Traffic and Road Safety
- Safety Warnings and Signage
- Autonomous Vehicle Technology and Safety
- Traffic control and management
- Transportation and Mobility Innovations
- Older Adults Driving Studies
- Urban Transport and Accessibility
- Ergonomics and Musculoskeletal Disorders
- Transportation Planning and Optimization
- Data-Driven Disease Surveillance
- Customer churn and segmentation
- Evacuation and Crowd Dynamics
- Traffic Prediction and Management Techniques
- Technology Adoption and User Behaviour
- Migration, Aging, and Tourism Studies
- EEG and Brain-Computer Interfaces
- Vehicle emissions and performance
- Transport and Economic Policies
- Gaze Tracking and Assistive Technology
- Neural dynamics and brain function
- Sleep and Work-Related Fatigue
- Vehicular Ad Hoc Networks (VANETs)
- Advanced Graph Neural Networks
- Transportation Systems and Infrastructure
University of Leeds
2016-2024
Delft University of Technology
2024
The Quebec Population Health Research Network
2022
Pontifical Catholic University of Rio de Janeiro
2022
University of Helsinki
2021
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
2018
University College Cork
2012
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)...
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...
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...
In current urban traffic, pedestrians attempting to cross the road at un-signalized locations are thought mostly use implicit communication, such as deceleration cues, interpret a vehicle's intention yield. There is less reliance on explicit driver- or vehicle-based messages, hand/head movements, flashing lights/beeping horns. With impending deployment of Automated Vehicles (AV), especially those SAE Level 4 and 5, where driver no longer in control vehicle, there has been surge interest...
Objective To investigate pedestrians’ misuse of an automated vehicle (AV) equipped with external human–machine interface (eHMI). Misuse occurs when a pedestrian enters the road because uncritically following eHMI’s message. Background Human factors research indicates that automation is concern. However, there no consensus regarding eHMIs. Methods Sixty participants each experienced 50 crossing trials in Cave Automatic Virtual Environment (CAVE) simulator. The three independent variables were...
The driving style of an automated vehicle (AV) needs to be comfortable encourage the broad acceptance and use this newly emerging transport mode. However, current research provides limited knowledge about what influences comfort, how concept is described, it measured. This especially lacking when comfort linked AV's styles. paper presents results from online workshop with nine experts, all hands-on experience AVs a long track record in context. Using tools, experts were invited introduce...
Autonomous vehicle control is well understood for local- [15], good approximations exist such as particle �ltering, ization, mapping and planning in un-reactive environ- which make use of large compute power to draw samples ments, but the human factors complex interactions near solutions. stood [16], despite its exact solution being NP-hard with other road users are not yet developed. Route non-interactive envi- ronments also has known tractable solutions as This po- the A-star...
When humans share space in road traffic, as drivers or vulnerable users, they draw on their full range of communicative and interactive capabilities. Much remains unknown about these behaviors, but need to be captured models if automated vehicles are coexist successfully with human users. Empirical studies user behavior implicate a large number underlying cognitive mechanisms, which taken together well beyond the scope existing computational models. Here, we note that for all putative...
In the future, Automated Vehicles (AVs) may be able to use pedestrians' head movement patterns understand their crossing intentions. This ability of AV predict pedestrian intention will improve road safety in mixed traffic situations and also enhance flow, allowing vehicle gradually reduce its speed advance a yield, eliminating need for complete erratic halt. To date, most work conducted on studying movements has been based observation studies. further our understanding this area, study...
Summary Previous research has suggested that angry drivers may respond differently to potential hazards. This study replicates and extends these findings. Under simulated driving conditions, two groups of experienced conditions would either increase mood (N = 12; men 6) or not (control group, N 6). All then performed a neutral drive, during which they encountered number traffic events in the initial drive. These included vehicles emerging from driveways into their path jaywalking...
Efficient and safe interactions between automated vehicles other road users can be supported through external Human-Machine Interfaces (eHMI). The success of these relies on the eHMI signals being adequately understood by users. A paired-comparison forced choice task (Task 1), a 6-point rating 2) were used to assess extent which ten different conveyed three separate messages, 'I am giving way', in mode' will start moving'. options consisted variations 360° lightband, single lamp, an auditory...
With the development of increasingly automated vehicles (AVs) comes difficult challenge comprehensively validating these for acceptable, and ideally beneficial, impacts on transport system. There is a growing consensus that virtual testing, where simulated AVs are deployed in traffic, will be key cost-effective testing optimization. The least mature model components such simulations those generating behavior human agents or around AVs. In this paper, models applications presented two example...
Abstract Human behavior and interaction in road traffic is highly complex, with many open scientific questions of high applied importance, not least relation to recent development efforts toward automated vehicles. In parallel, decades have seen major advances cognitive neuroscience models human decision-making, but these mainly been simplified laboratory tasks. Here, we demonstrate how variable-drift extensions drift diffusion (or evidence accumulation) decision-making can be adapted the...
The goal of this paper was to measure the effect Human-Machine Interface (HMI) information and guidance on drivers' gaze takeover behaviour during transitions control from automation. motivation for study came a gap in literature, where previous research reports improved performance based HMI information, without considering its visual attention distribution, how drivers also use available environment guide their response. This driving simulator investigated lane-changing after resumption...