A-Drive
| Reference number | |
| Coordinator | Volvo Personvagnar Aktiebolag - Avd 96000 Chassis & Vehicle Dynamics |
| Funding from Vinnova | SEK 4 325 200 |
| Project duration | January 2013 - December 2015 |
| Status | Completed |
| Venture | Traffic safety and automated vehicles -FFI |
| End-of-project report | 2012-04557_SV.pdf(pdf, 486 kB) (In Swedish) |
Important results from the project
The purpose of the project has been to study how algorithms can be formulated to enable automated driving. The goal has been met by developing algorithms that have been tested and published.
Expected long term effects
Academic contributions Formulation of the decision-making and trajectory planning problem for lane change maneuvers as simultaneous optimization of longitudinal and lateral control in the form of a convex quadratic program. Loosely coupled longitudinal and lateral optimal control trajectory planning algorithm for yielding maneuvers e.g. lane change, roundabout entry, and intersection crossing. Industrial contribution: Flexible, low-complexity, algorithm for automated yielding maneuvers. Lane change trajectory planning algorithm tested in DriveMe vehicle.
Approach and implementation
In the beginning of the project a lot of effort was put put on understanding current literature, what solutionos already exist and what problems are worth spending time on solving. Based on that, a set of decision algorithms that utilise structures in the traffic environment to generate safe solutions in an efficient way was developed. Algorithms that predict other trafficants movements have also been studied in the project. The algorithms performance has been evaluated in vehicle experiments and simulations.