An IA Based Approach for the Optimal Design of Traffic-Monitor Systems

Authors:
Yi-Chih Hsieh;Yung-Cheng Lee;Ta-Cheng Chen
Affiliations:
Department of Industrial Management, National Formosa University, Huwei, Yunlin 632, Taiwan;Department of Electrical Engineering, WuFeng Institute of Technology, Ming-Hsiung, Chia-Yi 621, Taiwan;Department of Information Management, National Formosa University, Huwei, Yunlin 632, Taiwan
Venue:
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part I
Year:
2007

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Abstract

To improve the safety of drivers and walkers in a city, several traffic monitors are usually set on lanes. These traffic monitors can also improve the security of communities. In this paper, we integrate the so-called linear/circular consecutive-k-out-of-n:F systems into our proposed traffic-monitor system. The objective is to find the optimal design of monitors under limited budget for the system. The main purposes of this paper are : (1) to propose a new traffic-monitor system, (2) to present an immune algorithm (IA) for the optimal design of traffic monitors, and (3) to report numerical results of various parameters by the proposed algorithm. It is shown that the proposed immune algorithm performs well for all test problems.