Scheduling problem for bus rapid transit routes

Abstract

Bus Rapid Transit (BRT) system plays an important role in public transport. In order to improve BRT operation quality, the headway optimization and scheduling combination are considered. Based on an existing model, this work proposes a modifying model that overcomes the limitation of the old one. The problem is then solved by a genetic algorithm - based method. Experimental results show that total cost is significantly decreasing after using scheduling combination strategies. The optimal frequency of BRT vehicles is also determined.