Parker, Aashiq and Nitschke, Geoff (2017) Autonomous Intersection Driving with Neuro-Evolution, Proceedings of Genetic and Evolutionary Computation Conference (GECCO 2017), Berlin, Germany, 133-134.
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Abstract
Neuro-Evolution (NE) has been used to evolve controllers in land-based vehicles that accomplish various tasks. However, there has been little work on evolving coordinated movement for maximizing traffic flow through intersections. This study used NE to synthesize collective driving behaviors for given road networks (interconnected intersections), where there were no traffic signals to assist with vehicle coordination and navigation. Rather, NE automates controller design where collective driving behavior emerges in response to the task of maximizing traffic throughput and minimizing delays at intersections.
| Item Type: | Conference poster |
|---|---|
| Subjects: | Computing methodologies > Artificial intelligence |
| Date Deposited: | 23 Nov 2017 |
| Last Modified: | 10 Oct 2019 15:31 |
| URI: | http://pubs.cs.uct.ac.za/id/eprint/1183 |
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