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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | van Willigen, W. Haasdijk, E. Kester, L. |
| Copyright Year | 2013 |
| Description | Author affiliation: TNO The Hague, The Hague, Netherlands (Kester, L.) || VU Univ. Amsterdam, Amsterdam, Netherlands (van Willigen, W.; Haasdijk, E.) |
| Abstract | The research in this paper is inspired by a vision of intelligent vehicles that autonomously move along motorways: they join and leave trains of vehicles (platoons), overtake other vehicles, etc. We propose a multi-objective evolutionary algorithm that evolves high-level controllers for such intelligent vehicles. The algorithm yields a set of solutions that each embody their own prioritisation of various user requirements such as speed, comfort or fuel economy. This contrasts with the current practice in researching such controllers, where user preferences are summarised in a single number that the controller development process then optimises. In this article, we test our multi-objective approach on 6 objectives. Our method outperforms a widely used human behavioural model on many of the objectives. Some performance is lost when we introduce additional objectives, but these losses are small and therefore acceptable. We show that it is possible to evolve a set of vehicle controllers that correspond with different prioritisations of user preferences, giving the driver, on the road, the power to decide which preferences to emphasise, although we do see that the more objectives are added to the system, the less intuitive the prioritisation of the different objectives becomes. |
| Sponsorship | IEEE Intell.Transp. Syst. Soc. |
| Starting Page | 1448 |
| Ending Page | 1455 |
| File Size | 1473252 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781479929146 |
| DOI | 10.1109/ITSC.2013.6728434 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-10-06 |
| Publisher Place | Netherlands |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Vehicles Neural networks Acceleration Fuel economy Evolutionary computation Roads Theory and Models for Optimization and Control Cooperative Techniques and Systems Multiautonomous Vehicle Studies Models Techniques and Simulations |
| Content Type | Text |
| Resource Type | Article |
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