Use Cases - Transport and Mobility

The transportation system is the lifeblood of the city. At SpaceTimeAi, we work to ensure the health of the city by improving the mobility of its citizens and the function of its transportation system.

1

Prediction, simulation and visualisation of urban traffic flows.

2

Identifying flexible travellers and groups using smart card data.

3

Modelling the impact of engineering work and incidents on London tube lines.

4

Developing mobility solutions for cyclists using cycle hire and tracking app data.

5

Detecting hybrid travel modes from sparse GPS data.

Project

SpaceTimeAi is working on a number of projects using large, spatio-temporal transportation datasets to categorise, cluster and profile people and places. More details can be found on this website:

http://www.ucl.ac.uk/standard
Partners:

Spotlight

Working with TfL, the STANDARD (Spatio-Temporal Analysis of Network Data and Route Dynamics) project undertook methodology-led research to model the complexity of road networks, and to understand the nature and causes of traffic congestion. It pioneered integrated modelling of the spatio-temporal dependency in networks via combined statistical regression and machine learning.

1

Prediction, simulation and visualisation of urban traffic flows.

2

Identifying flexible travellers and groups using smart card data.

3

Modelling the impact of engineering work and incidents on London tube lines.

4

Developing mobility solutions for cyclists using cycle hire and tracking app data.

5

Detecting hybrid travel modes from sparse GPS data.

Publication