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...

Automatic bottleneck detection using AVL data: A case study in Amsterdam

In daily practice, public transport authorities and operators are constantly searching for improvements in public transport operations. To this end, it is necessary to identify inefficiencies and bottlenecks in the current public transport services. In this paper, we propose a method to automatically detect bottlenecks in the public transport...

Value of Reliability for the Waiting Stage, In-vehicle Stage and Transfer Stage of Demand Responsive Transport (DRT) Services

On-demand modes are playing an ever-increasing role in urban transportation. In<br/>particular, Demand Responsive Transit (DRT) (shared on-demand modes such as<br/>shared ride-hailing and microtransit) can complement scheduled public transport<br/>thanks to their collective nature. These services offer flexible and convenient<br/>mobility: they...