479.575 PEOPLE
| People | Locations | Statistics |
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| Ziakopoulos, Apostolos | Athens |
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| Vigliani, Alessandro | Turin |
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| Catani, Jacopo | Rome |
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| Statheros, Thomas | Stevenage |
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| Utriainen, Roni | Tampere |
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| Guglieri, Giorgio | Turin |
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| Martínez Sánchez, Joaquín |
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| Tobolar, Jakub |
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| Volodarets, M. |
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| Piwowar, Piotr |
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| Tennoy, Aud | Oslo |
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| Matos, Ana Rita |
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| Cicevic, Svetlana |
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| Sommer, Carsten | Kassel |
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| Liu, Meiqi |
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| Pirdavani, Ali | Hasselt |
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| Niklaß, Malte |
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| Lima, Pedro | Braga |
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| Turunen, Anu W. |
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| Antunes, Carlos Henggeler |
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| Krasnov, Oleg A. |
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| Lopes, Joao P. |
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| Turan, Osman |
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| Lučanin, Vojkan | Belgrade |
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| Tanaskovic, Jovan |
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Wei, Chongfeng
in Cooperation with on an Cooperation-Score of 37%
Topics
- assessment
- driver
- driving
- autonomous driving
- road
- behavior
- pedestrian
- gap acceptance
- psychophysics
- autonomous vehicle
- planning
- trajectory
- human being
- fuzzy controller
- neural network
- vehicle
- control device
- vibration
- commercial vehicle
- industry
- driving behavior
- traffic congestion
- computer science
- safety
- comfort
- simulation
- passenger
- chemical element
- vehicle occupant
- risk management
- driving simulator
- algorithm
- infrastructure
- tree
- tire
- constraint
- bottleneck
- steering
- hazard
- deviation
- roadside
- researcher
- mechanical engineering
- attention
- traffic crash
- security
- vehicle dynamic
- intelligent transportation system
- human factor
- vehicle trajectory
- braking
- modeling
- forecasting
- optimisation
- employed
- automotive engineering
- evolution
- wheel load
- wheel
- transient
- testing equipment
- fuzzy system
- system engineering
- interface
- nonlinear system
- show 35 more
Publications
- 2022Drivers’ Evaluation of Different Automated Driving Styles: Is It Both Comfortable and Natural?citations
- 2022Explaining Unsafe Pedestrian Road Crossing Behaviours Using a Psychophysics-based Gap Acceptance Model
- 2022Human-centred risk-potential-based trajectory planning of autonomous vehiclescitations
- 2021Drivers’ Evaluation of Different Automated Driving Styles: Is It both Comfortable and Natural?
- 2021EKF-Neural Network Observer Based Type-2 Fuzzy Control of Autonomous Vehiclescitations
- 2020Measuring Drivers’ Physiological Response to Different Vehicle Controllers in Highly Automated Driving (HAD): Opportunities for Establishing Real-Time Values of Driver Discomfortcitations
- 2020Commercial vehicle-based robust control of seated whole-body vibration using adaptive indirect type-2 fuzzy neural networkcitations
- 2020Achieving Driving Comfort of AVs by Combined Longitudinal and Lateral Motion Controlcitations
- 2019MME-EKF-Based Path-Tracking Control of Autonomous Vehicles Considering Input Saturationcitations
- 2019Risk-based autonomous vehicle motion control with considering human driver’s behaviourcitations
- 2019Driver-centred Autonomous Vehicle Motion Control within A Blended Corridorcitations
- 2016APPRAISAL OF TAKAGI–SUGENO TYPE NEURO-FUZZY NETWORK SYSTEM WITH A MODIFIED DIFFERENTIAL EVOLUTION METHOD TO PREDICT NONLINEAR WHEEL DYNAMICS CAUSED BY ROAD IRREGULARITIEScitations
Places of action
