Geospatially Partitioning Public Transit Networks for Open Data Publishing

Partitioning of Public Transit Networks

Partitioning of public transit networks is a useful approach to speed up the query times or the preprocessing phase of public transit routing algorithms. The aim of partitioning of public transit networks is to find small partitions of the stations of a given network such that most of the traffic lies in their inside while only little traffic goes between them. To find such partitions of the pu...

Efficient Traffic Assignment for Public Transit Networks

We study the problem of computing traffic assignments for public transit networks: Given a public transit network and a demand (i.e. a list of passengers, each with associated origin, destination, and departure time), the objective is to compute the utilization of every vehicle. Efficient assignment algorithms are a core component of many urban traffic planning tools. In this work, we present a...

DataGraft: A Platform for Open Data Publishing

DataGraft is a platform for Open Data management. It has the goals to simplify and speed up the data publishing process and to improve the reliability and scalability of the data consumption process. This demonstrator provides a summary of the key features of the current DataGraft platform as well as simple demo scenario from the domain of property-related data.

A Case for Open Network Health Systems: Systems as Networks in Public Mental Health

Increases in incidents involving so-called confused persons have brought attention to the potential costs of recent changes to public mental health (PMH) services in the Netherlands. Decentralized under the (Community) Participation Act (2014), local governments must find resources to compensate for reduced central funding to such services or “innovate.” But innovation, even when pressure for c...

Improved Public Transit Improved Public Transit