Abstract
Advanced Driver Assistance Systems (ADAS) can contribute to attaining road traffic goals. However, their implementation is impeded by uncertainties about their performance and driver acceptance. Traditional policymaking identifies a single static policy that is robust across plausible scenarios. However, if the range of assumptions about the future turns out to be wrong, there might be large negative consequences. We describe an alternative 'adaptive' approach that overcomes shortcomings of the traditional approach, allowing adaptations over time as knowledge about ADAS accumulates and critical events take place. The approach is illustrated with adaptive policies for Intelligent Speed Adaptation and Adaptive Cruise Control.
| Original language | English (US) |
|---|---|
| State | Published - 2006 |
| Externally published | Yes |
| Event | 13th World Congress on Intelligent Transport Systems and Services, ITS 2006 - London, United Kingdom Duration: Oct 8 2006 → Oct 12 2006 |
Other
| Other | 13th World Congress on Intelligent Transport Systems and Services, ITS 2006 |
|---|---|
| Country/Territory | United Kingdom |
| City | London |
| Period | 10/8/06 → 10/12/06 |
Keywords
- Adaptive Cruise Control
- Adaptive policies
- Adaptive policymaking
- Intelligent Speed Adaptation
- Uncertainty
ASJC Scopus subject areas
- Mechanical Engineering
- Transportation
- Electrical and Electronic Engineering
- Computer Science Applications
- Automotive Engineering
- Artificial Intelligence
- Control and Systems Engineering
- Computer Networks and Communications