Abstract
Connected Cruise Control (CCC) is a new approach to driver assistance that avoids some of the problems associated with autonomous driver assistance by advising optimal driver behaviour via a human-machine interface. Yet the characteristics of this advice can have a negative impact on driver distraction and additional task demand. While the system is still under development, an evaluation of system effects is needed to identify potential safety issues at an early stage in the design process. For this reason an introduction to CCC is provided, followed by a discussion of how advice attributes can generate distraction and add task demand. Finally, two human factors constructs are provided that can indicate the effects of systems characteristics on driver performance.
| Original language | English |
|---|---|
| Title of host publication | 11th Trail Congress Connecting People - Integrating Expertise, 23 and 24 November 2010 |
| Editors | T.P. Allkim, Bart van Arem, T. Arentze |
| Place of Publication | Delft |
| Publisher | Netherlands Research School for Transport, Infrastructure and Logistics |
| Pages | - |
| Number of pages | 5 |
| ISBN (Print) | 978-90-5584-139-4 |
| Publication status | Published - 23 Nov 2010 |
| Event | 11th International TRAIL Congress 2010: Connecting People - Integrating Expertise - Delft, Netherlands Duration: 23 Nov 2010 → 24 Nov 2010 Conference number: 11 |
Publication series
| Name | |
|---|---|
| Publisher | Netherlands Research School for Transport, Infrastructure and Logistics |
Conference
| Conference | 11th International TRAIL Congress 2010 |
|---|---|
| Country/Territory | Netherlands |
| City | Delft |
| Period | 23/11/10 → 24/11/10 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- IR-101258
- traffic flow
- ADAS
- Connected Cruise Control
- Advanced Driver Assistance Systems
- METIS-267869
- Automation
- Human Factors
- longitudinal support
- lateral support
- in-vehicle advice
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