Ateş Böceği Algoritması Kullanılarak Toplu Taşıma Frekans Optimizasyonu ve Parametrelerinin Değerlendirilmesi

ABSTRACT: Over the last few decades, rapidly growing cities in terms of population and land use have led to many transportation-based problems such as longer travel times, traffic congestion, crashes, air noise pollution. Increasing modal share transit systems appears be one most effective methods solve problems. However, systems, particularly countries having limited resources, should used efficiently achieve sustainable urban mobility. Even only adjusting frequencies lines, with no infrastructure investment cost requirements, can provide a more efficient system. In this paper, frequency setting model based on Firefly Algorithm (FA), which is relatively new metaheuristic, for transportation network design presented minimize total user under fleet size constraint. The proposed performed 10-route Mandl’s Test Network using different combinations parameters demonstrate effect parameter values solution quality. After that, best 30 solutions obtained by calibrated compared existing set network. results show that FA obtain better sets selecting proper parameters.