A Comparative Analysis of Data Distribution Methods in an Agent-Based Neural System for Classification Tasks

2006 ◽  
Author(s):  
Laura A. Santana ◽  
Anne Canuto ◽  
Joao Xavier Junior ◽  
Andre C Campos
Keyword(s):  
Comparative Analysis ◽  
Data Distribution ◽  
Neural System ◽  
Agent Based ◽  
Classification Tasks

An analysis of data distribution in the ClassAge system: An agent-based system for classification tasks

2008 ◽  
Vol 71 (16-18) ◽  
pp. 3319-3325 ◽  
Author(s):  
Anne M.P. Canuto ◽  
Laura Emmanuella A. Santana ◽  
Marjory C.C. Abreu ◽  
João Carlos Xavier
Keyword(s):  
Data Distribution ◽  
Agent Based ◽  
Classification Tasks

Comparative analysis of agent-based and population-based modelling in epidemics and economics1

2012 ◽  
Vol 8 (3) ◽  
pp. 223-255 ◽  
Author(s):  
Tibor Bosse ◽  
S.Waqar Jaffry ◽  
Ghazanfar F. Siddiqui ◽  
Jan Treur
Keyword(s):  
Comparative Analysis ◽  
Population Based ◽  
Agent Based

A comparative analysis of information provision strategies for parking variable message sign display problems

2020 ◽  
Vol 39 (3) ◽  
pp. 2725-2735
Author(s):  
Xun-You Ni ◽  
Weite Lu ◽  
Chunqin Zhang ◽  
Yong Liu ◽  
Jing Zhao
Keyword(s):  
Comparative Analysis ◽  
Information Provision ◽  
Threshold Value ◽  
Agent Based ◽  
Variable Message Signs ◽  
Traffic Conditions ◽  
Average Travel Time ◽  
Parking Lot ◽  
Message Signs ◽  
Urban Parking

Parking spaces are insufficient and are plagued by over-consumption in hot areas. To assist drivers easily in identifying available parking spaces, parking variable message signs are commonly adopted to display information on space availability. This paper analyzes the performance of various information provision strategies. To achieve this objective, we first present the mechanisms of the information provision strategies. Then, the information provision strategies are classified into three categories: regular, symmetric, and discriminative. The regular strategies provide the collected parking information directly to drivers; the symmetric schemes employ the equal threshold values for all parking lots; and the discriminative schedules adopt an independent threshold value for each parking lot. The threshold value provides an upper limit for the Space Occupancy Percentage (SOP): when the SOP is larger than the threshold value, the parking lot status becomes FULL; otherwise, it is displayed having available spaces. Finally, an agent-based simulation model is introduced to describe the parking and traffic conditions. The results indicate that both the symmetric and discriminative strategies significantly decrease the highest failure rate and average travel time, whereas the latter performs better. The results of this comparative analysis can assist in the configuration and operation of an urban parking guidance and information system.

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