Optimization of the Transfer Speeds of Passengers Transferring Last Train with Particle Swarm Algorithm

Abstract

Urban rail systems have an important place in public transportation with their speed, capacity, comfort, and integration. Metro networks, which are becoming increasingly widespread especially in big cities, are integrated with both urban rail systems and other urban transportation. The number of transfers of passengers using the urban rail system has increased with the integration. Speed, punctuality, and accessibility are among the most important expectations of passengers who prefer urban rail systems. Therefore, synchronization of timetables of integrated urban rail systems is important not to increase travel time. In addition to this, it is even more important for passengers to catch the last train since urban rail systems are not operated 24 hours a day. It has been observed that the transfer times of the passengers who want to catch the last train are more than the normal transfer speeds and they are affected by each other. The speeds of the last train transfer passengers were calculated using the particle swarm optimization algorithm to get better results from the synchronization of the last train timetables made according to the normal transfer speeds. In the study conducted with sample lines, timetables, and passenger numbers, the transfer speeds of the passengers and the number of successful transfers increased.