A smart car that assists driving must give warnings in dangerous situations, override the driver to avoid collisions, and help reach the intended destination as quickly as possible. Unfortunately, satisfying these requirements without limiting the decisional autonomy of the individual driver becomes an extremely hard problem to solve with traditional engineering methods. Biologically-inspired techniques such as Evolutionary Computation and Swarm Intelligence provide promising new ways to tackle the design and control problems of a traffic system.
Team and Collaborators
- Yizhen Zhang
Sponsors and Research Period
NSF via CNSE under Grant EEC-9402726
Publications
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