Title :
Parameters tuning using RasID algorithm in Q value-based Dynamic Programming with Boltzmann Distribution
Author :
Yu, Shanqing ; Mabu, Shingo ; Mainali, Manoj Kanta ; Hirasawa, Kotaro
Author_Institution :
Grad. Sch. of Inf., Production & Syst., Waseda Univ., Fukuoka, Japan
Abstract :
In this paper, a new Temperature control strategy in the Q value-based Dynamic Programming with Boltzmann Distribution is proposed to improve the efficiency of Intelligent Transportation Systems. What´s more, Random Search with Intensification and Diversification (RasID) is used to optimize the parameters of Temperature control strategy. The simulation results shows that more suitable parameters could be obtained by using RasID algorithm and consequently alleviate congestion and improve the efficiency of the traffic system.
Keywords :
automated highways; dynamic programming; statistical distributions; temperature control; tuning; Boltzmann distribution; Q value-based dynamic programming; RasID algorithm; intelligent transportation systems; parameter tuning; random search; temperature control strategy; Boltzmann distribution; Driver circuits; Dynamic programming; Heuristic algorithms; Roads; Temperature control; Vehicles; Boltzmann Distribution; Q value-based Dynamic Programming; RasID; Temperature Parameter;
Conference_Titel :
SICE Annual Conference 2010, Proceedings of
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-7642-8
