DocumentCode :
1642719
Title :
Traffic congestion forecasting based on pheromone communication model for intelligent transport systems
Author :
Kurihara, S. ; Tamaki, H. ; Numao, M. ; Yano, J. ; Kagawa, K. ; Morita, T.
Author_Institution :
JST CREST, Osaka Univ., Suita
fYear :
2009
Firstpage :
2879
Lastpage :
2884
Abstract :
The basic framework of next generation intelligent transport systems (ITSs) is discussed. We propose a new congestion forecast system, which reacts to dynamically changing traffic conditions based on a coordination mechanism using pheromone communication models. We evaluate and verify the basic effectiveness of this method using simple simulations.
Keywords :
automated highways; multi-agent systems; road traffic; coordination mechanism; multiagent system; next generation intelligent transport system; pheromone communication model; traffic congestion forecasting; Centralized control; Communication system traffic control; Intelligent systems; Predictive models; Real time systems; Roads; Telecommunication congestion control; Traffic control; Vehicle dynamics; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2009. CEC '09. IEEE Congress on
Conference_Location :
Trondheim
Print_ISBN :
978-1-4244-2958-5
Electronic_ISBN :
978-1-4244-2959-2
Type :
conf
DOI :
10.1109/CEC.2009.4983304
Filename :
4983304
Link To Document :
بازگشت