Multi-agent simulation model of urban traffic behavior of inhabitants applying optimization techniques

Author

Matsumoto, Takuya ; Sakakibara, Kazutoshi ; Tamaki, Hisashi

Author_Institution

Grad. Sch. of Syst. Inf., Kobe Univ., Kobe, Japan

fYear

2014

Firstpage

348

Lastpage

352

Abstract

In this paper, a multi-agent simulation model of urban traffic behavior using origin-destination data is constructed. Traveler agents decide selection of mobility and route by optimizing their utility functions. There are too many search candidates in their decisions to calculate in practical time, thus mathematical optimization techniques are applied in modeling. Part of route search algorithms of agents are standardized to used jointly by all agents and the other is built as parallelizable structure to simulate several hundred thousand agents in practical time. It is showed that the simulation example which has 18,000 agents is calculated in practical time. Besides, simulations of two scenarios in which a part of traffic networks differ each other demonstrated some potential of the proposed model.

Keywords

mobile computing; multi-agent systems; optimisation; traffic engineering computing; mathematical optimization technique; mobility selection; multiagent simulation model; origin-destination data; parallelizable structure; route search algorithm; traffic network; traveler agent; urban traffic behavior; utility function; Cities and towns; Manganese; Mathematical model; Method of moments; Numerical models; Roads;

fLanguage

English

Publisher

ieee

Conference_Titel

Soft Computing and Intelligent Systems (SCIS), 2014 Joint 7th International Conference on and Advanced Intelligent Systems (ISIS), 15th International Symposium on

Type

conf

DOI

10.1109/SCIS-ISIS.2014.7044792

Filename

7044792