Urban traffic control at intersections based on multi-agent systems
سال انتشار: 1395
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 607
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شناسه ملی سند علمی:
CBCONF01_0577
تاریخ نمایه سازی: 16 شهریور 1395
چکیده مقاله:
Using intelligent traffic control methods are the most practical approaches to solving problems caused by the lack of development of transport infrastructure. The purpose of this paper is to present an agent-oriented system to control urban traffic at intersections. In this paper, the information of mobile phones of car occupants in the intersections are applied and traffic load is estimated through collecting mobile phone signals. Then, using traffic load value and two intelligent methods, k-means clustering algorithm and genetic algorithm, good schedule is obtained for traffic signals at intersections.Our work has several advantages. First, using data of mobile phones of car occupants would be cost effective in regard with calculating traffic load with acceptance of a percent of error with no need to hardware construction. Second, intersections are clustered regardless of their number. Third, using genetic algorithm could estimate the best possible scheduling for the intersections, since genetic algorithm is among evolutionary processing algorithms and is not trapped in local optimization. Forth, existence of coordinator agent prevents emergence of probable problems among clustered zones.
کلیدواژه ها:
نویسندگان
Farnaz Derakhshan
Assistant Professor, Faculty of Electrical and Computer Engineering University of Tabriz Tabriz, Iran
Fatemeh Khezerlou
Graduate student of Artificial Intelligence, Faculty of Electrical and Computer Engineering University of Tabriz Tabriz, Iran
Nasrin Shahpasandi
Graduate student of Artificial Intelligence, Faculty of Electrical and Computer Engineering University of Tabriz Tabriz, Iran