|M.Sc Student||Hend Manasra|
|Subject||Real Time Control for Transit Systems with Transfers|
|Department||Department of Civil and Environmental Engineering||Supervisor||Professor Toledo Tomer|
|Full Thesis text|
There has been a steady and substantial increase in the demand for travel in the last decades because of growth in population and motorization. This increased demand causes severe congestion problems, mainly in large metropolitan areas. Due to the restrictions on expanding the road infrastructure capacity, we witness, in recent years, a shift towards advancing and developing public transportation (PT) services with transfers, in order to alleviate congestion.
The stochastic nature of travel times and dwell times dictate that transit service cannot follow the planned schedule perfectly. Therefore, in the recent years there has been an interest in operational strategies to react to changing conditions and to reduce waiting times and delays to passengers. However, most studies on control strategies deal with a single line, and the treatment of networks with multiple lines is limited only to the transfer stop itself or to small networks and without taking into account all the components of the passengers times.
This research aims to develop a real time simulation based control framework to determine strategies in order to minimize passengers' total time, which includes waiting at stop, travel between stops, dwell time, waiting at the transfer, waiting for denied boarding passengers and waiting for skip passengers. The model attempts to coordinate the PT network in real time. This coordination aims both to allow smoother transfers, and to maintain the regularity of the lines. The real time control system predict the arrival and departure times of buses and the demands at the handled stop and downstream using a prediction horizon and optimize the total passengers time by using strategies: holding, speed change and skip stop. A case study demonstrates the use of this framework and its potential to decrease the total passengers' time was applied based on a high demand system.