Title :
Bee Inspired Bottom-Up Self-Organization in Vehicular Traffic Management
Author :
Wedde, H.F. ; Lehnhoff, S. ; Senge, S. ; Lazarescu, A.M.
Author_Institution :
Sch. of Comput. Sci., Tech. Univ. of Dortmund, Dortmund, Germany
Abstract :
Traffic in densely populated regions increasingly suffers from congestion problems, to an extent which e.g. substantially affects predictable transport planning. Due to the highly dynamic character of congestion forming and dissolving, no static approach like shortest path finding, applied globally or individually in car navigators, is adequate here. In this paper we outline our current work on a completely decentralized multi-agent bottom-up approach (termed BeeJamAJ) on multiple layers where car routing is handled through algorithms derived from honey bee behavior.
Keywords :
mobile computing; multi-agent systems; road vehicles; telecommunication network management; telecommunication network routing; traffic engineering computing; car navigators; car routing; decentralized multiagent bottom-up approach; honey bee behavior; self-organizing vehicle routing algorithm; shortest path finding; transport planning; vehicular traffic management; Computer science; Conference management; Navigation; Packet switching; Recruitment; Roads; Routing; Telecommunication traffic; Unemployment; Vehicle dynamics; Distributed Systems; Foraging Behavior; Multiagent Systems; Nature Inspired Algorithms; Traffic Congestion Management; Traffic Management;
Conference_Titel :
Self-Adaptive and Self-Organizing Systems, 2009. SASO '09. Third IEEE International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4244-4890-6
Electronic_ISBN :
978-0-7695-3794-8
DOI :
10.1109/SASO.2009.24