Arkady Zgonnikov
Biographic Data
| ID | 8792884 |
|---|---|
| NAME | Arkady Zgonnikov |
| GIVEN NAMES | Arkady |
| FAMILY NAME | Zgonnikov |
| SIGNATURE | ZGONNIKOV A |
| AFFILIATIONS | Delft University of Technology |
| ORCID | 0000-0002-6593-6948 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Armchair
Nudging human drivers via implicit communication by automated vehicles
Understanding behavior of human drivers in interactions with automated vehicles (AV) can aid the development of future AVs. Existing investigations of such behavior have predominantly focused on situations in which an AV a priori needs to take action because the human has the right of way. However, future AVs might need to proactively manage interactions even if they have the right of way over humans, e.g., a human driver taking a left turn in fr…
A Human Factors Approach to Validating Driver Models for Interaction-aware Automated Vehicles
A major challenge for autonomous vehicles is interacting with other traffic participants safely and smoothly. A promising approach to handle such traffic interactions is equipping autonomous vehicles with interaction-aware controllers (IACs). These controllers predict how surrounding human drivers will respond to the autonomous vehicle’s actions, based on a driver model. However, the predictive validity of driver models used in IACs is rarely val…
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A Human Factors Approach to Validating Driver Models for Interaction-aware Automated Vehicles
A major challenge for autonomous vehicles is interacting with other traffic participants safely and smoothly. A promising approach to handle such traffic interactions is equipping autonomous vehicles with interaction-aware controllers (IACs). These controllers predict how surrounding human drivers will respond to the autonomous vehicle’s actions, based on a driver model. However, the predictive validity of driver models used in IACs is rarely val…
Nudging human drivers via implicit communication by automated vehicles
Understanding behavior of human drivers in interactions with automated vehicles (AV) can aid the development of future AVs. Existing investigations of such behavior have predominantly focused on situations in which an AV a priori needs to take action because the human has the right of way. However, future AVs might need to proactively manage interactions even if they have the right of way over humans, e.g., a human driver taking a left turn in fr…
Armchair
Human-Automation Interaction and Safety (3 works) · Computer Science (2 works) · Human–computer interaction (2 works) · Advanced Control Systems Optimization (1 work) · Adversarial system (1 work) · Autonomous Vehicle Technology and Safety (1 work) · Bottleneck (1 work) · Cognition (1 work) · Cognitive psychology (1 work) · Database (1 work)