DocumentCode :
1705142
Title :
Bee-Inpired Road Traffic Control as an Example of Swarm Intelligence in Cyber-Physical Systems
Author :
Senge, Sebastian ; Wedde, Horst F.
Author_Institution :
Dept. of Comput. Sci., Tech. Univ. Dortmund, Dortmund, Germany
fYear :
2012
Firstpage :
258
Lastpage :
265
Abstract :
Physical parts of a system to interacting software components. In many cyber-physical systems considered nowadays, the system´s parts form a network structure with concurrent entities and the need of seamless scaling and fault-tolerant information dissemination and decentralized methods. In this contribution we point out that swarm intelligence approaches may be well suited for CPS with networked components. As an example, we present our self-adaptive and distributed vehicle route guidance approach, termed BeeJamA, which provides drivers safely with routing directions well before each intersection. Our approach is based on a multi-agent system which is inspired by the honey bee behavior and relies on a decentralized vehicle-to-infrastructure architecture.
Keywords :
control engineering computing; distributed processing; multi-agent systems; road traffic control; road vehicles; traffic engineering computing; Bee-inpired road traffic control; cyberphysical systems; distributed vehicle route guidance approach; fault-tolerant information decentralized methods; fault-tolerant information dissemination; honey bee behavior; multiagent system; network structure; networked components; software components; swarm intelligence; vehicle-to-infrastructure architecture; Delay; Navigation; Particle swarm optimization; Roads; Routing; Vehicle dynamics; Vehicles; cyber-physical systems; distributed control; swarm intelligence; vehicle route guidance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering and Advanced Applications (SEAA), 2012 38th EUROMICRO Conference on
Conference_Location :
Cesme, Izmir
Print_ISBN :
978-1-4673-2451-9
Type :
conf
DOI :
10.1109/SEAA.2012.75
Filename :
6328159
Link To Document :
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