Advanced in-car route advice

Keijts, J.

Advanced in-car route advice

Improvement of the Superroute-app urban travel time prediction

Master thesis (2016)

Authors

J. Keijts

Contributors

S.P. Hoogendoorn (mentor)

Programme

Operations & Management of Transport Systems

Urban travel time prediction

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http://resolver.tudelft.nl/uuid:f66cbcd2-9a74-42aa-ae4c-487339be8828

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Published Date

01-02-2016

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Programme

Operations & Management of Transport Systems

Abstract

The Superroute-app, part of the Praktijkproef Amsterdam (PPA) provides commuters with an elaborate and personalized route advice and travel time prediction in the Amsterdam area. On urban roads the travel time prediction from the ARS Traffic & Transport Technology route planner is used, which is based on free flow travel times. To improve the current urban travel time prediction I used historic floating car data (FCD) from the Superroute-app and infrastructural data from HERE maps as input for a linear regression model. With the regression model I have estimated the (difference) in travel time, in order to ‘correct’ the current travel time prediction.

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