scholarly journals A study of the effect of traffic information sharing using multi-agent simulation

2008 ◽  
Vol 25 ◽  
pp. 793-800
Author(s):  
Ayumu Matsushita ◽  
Akira Kikuchi ◽  
Ryuichi Kitamura
Keyword(s):  
Information Sharing ◽  
Traffic Information ◽  
Agent Simulation ◽  
Multi Agent

scholarly journals Data-Driven Multi-Agent Vehicle Routing in a Congested City

Information ◽  
2021 ◽  
Vol 12 (11) ◽  
pp. 447
Author(s):  
Alex Solter ◽  
Fuhua Lin ◽  
Dunwei Wen ◽  
Xiaokang Zhou
Keyword(s):  
Information System ◽  
Data Driven ◽  
Road User ◽  
Traffic Information ◽  
Time Data ◽  
Real Time Traffic ◽  
Travel Time Data ◽  
Agent Simulation ◽  
Multi Agent ◽  
System Data

Navigation in a traffic congested city can prove to be a difficult task. Often a path that may appear to be the fastest option is much slower due to congestion. If we can predict the effects of congestion, it may be possible to develop a better route that allows us to reach our destination more quickly. This paper studies the possibility of using a centralized real-time traffic information system containing travel time data collected from each road user. These data are made available to all users, such that they may be able to learn and predict the effects of congestion for building a route adaptively. This method is further enhanced by combining the traffic information system data with previous routing experiences to determine the fastest route with less exploration. We test our method using a multi-agent simulation, demonstrating that this method produces a lower total route time for all vehicles than when using either a centralized traffic information system or direct experience alone.

Modeling and Simulation on Knowledge Transfer among Unofficial Groups Based on Communication Networks

2013 ◽  
Vol 411-414 ◽  
pp. 145-151
Author(s):  
Xiao Dong Kou ◽  
Bo Zhang ◽  
Lin Yang
Keyword(s):  
Knowledge Transfer ◽  
Complex Networks ◽  
Communication Networks ◽  
Simulation Analysis ◽  
China National Knowledge Infrastructure ◽  
Simulation Research ◽  
Knowledge Infrastructure ◽  
Learned Societies ◽  
Agent Simulation ◽  
Multi Agent

With features of good interactivity and fast spread speed, unofficial networks play a significant role in knowledge transfer. Based on theories of communication networks and computational modeling method, the transfer situation of complex networks theory within Chinas learned societies, including its rising, spread and development, was modeled and then made simulation analysis by using the Blanche software. By comparing the analysis results with periodicals data from China National Knowledge Infrastructure, the effectiveness of the built model and the reliability of Blanche in multi-agent simulation research are all validated. Furthermore, the future development of complex networks theory in China is predicted as well.

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