Reliable timetable design for railways and connecting public transport services

Data driven improvements in public transport: The Dutch example

Due to reduced budgets, higher political expectations and increasing competition between operators, there is growing pressure on public transport companies and authorities to improve their operational efficiency. It is thus of utter importance for them to be able to identify inefficiencies, bottlenecks and potentials in their public transport...

An Optimization Model for Simultaneous Periodic Timetable Generation and Stability Analysis

We present an optimization model which is able to generate feasible periodic timetables for networks given the line structure and the requested line frequencies, taking into account infrastructure constraints and train overtake locations. As the model uses the minimum cycle time as the objective function, the stability of the timetable is also...

Identifying effective guaranteed connections in a multimodal public transport network

Minimizing transfer waiting time is important in making public transport networks more attractive. A guaranteed transfer, with the departing vehicle waiting on moderately delayed arriving vehicles at a transfer node, is an effective way to reduce waiting times at transfers between low frequency public transport lines. This secondary train delay...

Identifying effective guaranteed connections in a multimodal network

Minimizing transfer waiting time is important in making public transport networks more attractive. A guaranteed transfer, with the departing vehicle waiting on moderately delayed arriving vehicles at a transfer node, is an effective way to reduce waiting times at transfers between low frequency public transport lines. This secondary train delay...

Optimizing public transport planning and operations using automatic vehicle location data: The Dutch example

There is a growing pressure on urban public transport companies and authorities to improve efficiency, stemming from reduced budgets, political expectations and competition between operators. In order to find inefficiencies, bottlenecks and potentials in the public transport service, it is useful to learn from recorded operational data. We first...