Title :
Multi-level Agent Model in the Behavior-Intensive Road Intersection
Author :
Liming Yu ; Juanqiong Gou
Author_Institution :
Sch. of Econ. & Manage., Beijing Jiaotong Univ., Beijing, China
Abstract :
Due to the homogeneity of cellular and the simplicity of algorithm, traditional CA modeling is weak in the simulation of social complexity which mainly contains the psychological and cultural factors of traffic participants. In order to involve social behavior factors into the engineering design of road intersections, a multi-level Agent model of road Intersection is established in this paper based on the analysis of social complexity of traffic system and the theory of planned behavior. The social complexity characters are reflected by Agents at different levels while synergy method of multi-Agents is used to achieve the traffic operation in the road interaction. This model effectively enriches the description and simulation of social complexity of CA model with improved structure of different cellular and their synergy mechanism.
Keywords :
cellular automata; psychology; road traffic; traffic engineering computing; CA model; cultural factors; engineering design; multilevel agent model; planned behavior theory; psychological factors; road intersections; road traffic system; social behavior factors; social complexity analysis; social complexity characters; social complexity simulation; synergy method; traffic operation; traffic participants; Charge coupled devices; Complexity theory; Educational institutions; Knowledge based systems; Psychology; Roads; Vehicles; cellular automata; multi-level Agent model; road Intersection; social complexity; synergism;
Conference_Titel :
Intelligent Networking and Collaborative Systems (INCoS), 2014 International Conference on
Print_ISBN :
978-1-4799-6386-7
DOI :
10.1109/INCoS.2014.21
