467.600 PEOPLE
| People | Locations | Statistics |
|---|---|---|
| Serhiienko, Serhii |
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| Schmalz, Ulrike |
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| Oliveira, Marisa |
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| Ribeiro Pereira, Maria Teresa |
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| Bellér, Gábor |
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| Araujo, M. |
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| Frey, Michael | Karlsruhe |
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| Coutinho-Rodrigues, João | Coimbra |
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| Wouters, Christian Guillaume Louise | Aachen |
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| Kessel, Paul J. Van Van |
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| Árpád, István |
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| Fontul, Simona |
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| Kocsis, Dénes |
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| Cigada, Alfredo | Milan |
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| Oort, Neils Van | Delft |
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| Agárdi, Anita | Miskolc |
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| Andrews, Gordon E. |
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| Sousa, Nuno |
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| Witlox, Frank Jacomina Albert | Ghent |
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| Dobruszkes, Frederic |
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| Kiss, Judit T. |
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| Hadachi, Amnir | Saint-Étienne-du-Rouvray |
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| Hamilton, Carl J. | Kunovice |
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| Misiura, Serhii |
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| Schimpf, Marina |
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Louw, Tyron Linton
in Cooperation with on an Cooperation-Score of 37%
Topics
- driving
- safety
- age
- comfort
- autonomous driving
- design
- traffic behavior
- travel
- travel time
- male
- education
- economics
- marketing
- variance
- questionnaire
- expected value
- autonomous automobile
- autonomous vehicle
- data
- driver
- traffic congestion
- variable
- passenger
- vehicle occupant
- regression analysis
- shrinkage
- driving behavior
- driving simulator
- road
- manual
- headway
- crossheading
- experiment
- cruise control
- automation
- base line
- autonomous intelligent cruise control
- survey
- health
- fatality
- market
- automobile driver
- urban road
- freeway
- residence
- rural area
- parking
- gross domestic product
- sustainable transportation
- public transport
- automobile
- travel mode
- traveller
- automobile travel
- mode choice
- vehicle
- control device
- eye
- engine
- motor
- behavior
- assessment
- industry
- geography
- modeling
- theory
- structural engineering
- construction engineering
- passenger car
- implementation
- video
- automotive engineering
- driver support system
- internet
- public road
- motivation
- gender
- psychology
- equation
- best practice
- structural equation modeling
- public opinion
- surf
- planning
- chain
- Markov chain
- decision making
- highway traffic
- level 2 driving automation
- guideline
- environmental engineering
- driving test
- road test
- level 3 driving automation
- pilotage
- perception
- cladding
- infrastructure
- machinery
- human being
- face
- interface
- vehicle mix
- designer
- focus group
- human factor
- computer science
- crash
- pedestrian
- trajectory
- prevention
- poison
- cyclist
- injury
- urban design
- traffic conflict
- female
- occupational safety
- ergonomics
- suicide
- zebra crossing
- reliability
- automobile industry
- public health
- law
- seat
- traffic flow
- medication
- privacy
- indicating instrument
- production
- feeding stuff
- definition
- pilot study
- iterative method
- data logging
- deforestation
- chauffeur
- city
- consumer
- engineering
- knowledge management
- developer
- beltway
- engine performance
- profit
- momentum
- intelligent transportation system
- show 118 more
Publications
- 2022Profiling the Enthusiastic, Neutral, and Sceptical Users of Conditionally Automated Cars in 17 Countries: A Questionnaire Studycitations
- 2022Why would people want to travel more with automated cars?citations
- 2022Profiling the Enthusiastic, Neutral, and Sceptical Users of Conditionally Automated Cars in 17 Countries:A Questionnaire Studycitations
- 2021Don't Worry, I'm in Control! Is Users’ Trust in Automated Driving Different When Using a Continuous Ambient Light HMI Compared to an Auditory HMI?citations
- 2021Do drivers change their manual car-following behaviour after automated car-following?citations
- 2021Drivers’ intentions to use different functionalities of conditionally automated cars:A survey study of 18,631 drivers from 17 countriescitations
- 2021Are multimodal travellers going to abandon sustainable travel for L3 automated vehicles?citations
- 2020Measuring Drivers’ Physiological Response to Different Vehicle Controllers in Highly Automated Driving (HAD): Opportunities for Establishing Real-Time Values of Driver Discomfortcitations
- 2020The Effect of Motor Control Requirements on Drivers’ Eye-Gaze Pattern During Automated Drivingcitations
- 2020Applying the FESTA methodology to automated driving pilots
- 2020Assessing user behaviour and acceptance in real-world automated driving
- 2020How to do evaluation in an open road automated driving study?
- 2020A questionnaire study among 9,118 car drivers from eight European countriescitations
- 2020Using the UTAUT2 model to explain public acceptance of conditionally automated (L3) cars: A questionnaire study among 9,118 car drivers from eight European countriescitations
- 2019Using Markov Chains To Understand The Sequence of Drivers’ Gaze Transitions During Lane-Changes In Automated Drivingcitations
- 2019Applicability of risky decision-making theory to understand drivers' behaviour during transitions of control in vehicle automation
- 2019Understanding interactions between Automated Road Transport Systems and other road users: A video analysiscitations
- 2019Applying Participatory Design to Symbols for SAE Level 2 Automated Driving Systemscitations
- 2019Assessing mobility impacts of automated driving in L3Pilot
- 2019Methodological challenges related to real-world automated driving pilots
- 2019Designing the interaction of automated vehicles with other traffic participants: design considerations based on human needs and expectationscitations
- 2019A video analysiscitations
- 2018What externally presented information do VRUs require when interacting with fully Automated Road Transport Systems in shared space?citations
- 2018Designing the interaction of automated vehicles with other traffic participants: design considerations based on human needs and expectationscitations
- 2018From Research Questions to Logging Requirements:L3Pilot Deliverable D3.1
- 2018Designing the interaction of automated vehicles with other traffic participants: A design framework based on human needs and expectations
- 2017What influences the decision to use automated public transport? Using UTAUT to understand public acceptance of Automated Road Transport Systemscitations
- 2017Coming back into the loop: Drivers? perceptual-motor performance in critical events after automated drivingcitations
- 2017The Human Factors of Transitions in Highly Automated Driving
- 2017Coming back into the loop: Drivers’ perceptual-motor performance in critical events after automated drivingcitations
- 2016Acceptance of Automated Road Transport Systems (ARTS): An Adaptation of the UTAUT Modelcitations
- 2016Communication Between VRUs and Fully Automated Road Transport Systems: What's important?
Places of action
