Session Wed.2.H 0104

Wednesday, 13:15 - 14:45 h, Room: H 0104

Cluster 13: Logistics, traffic, and transportation [...]

TomTom routing and traffic research: data, models and algorithms

 

Chair: Heiko Schilling

 

 

Wednesday, 13:15 - 13:40 h, Room: H 0104, Talk 1

Heiko Schilling
TomTom Navigation - How mathematics help getting through traffic faster

 

Abstract:
TomTom is the leading global supplier of in-car location and navigation
content and applications. We are focused on providing drivers with the
best possible navigation experience to help them get through traffic
faster from A to B. Our navigation applications can already significantly
reduce the journey times for individual TomTom drivers but we believe
we can help to reduce traffic congestion for all. In this talk we will give
examples where we were able to successfully apply results of mathematical
research in our navigation applications. Our applications are based on
TomTom's navigation software tool kit - called NavKit - which is built
upon 20 years of routing and navigation know-how

 

 

Wednesday, 13:45 - 14:10 h, Room: H 0104, Talk 2

Felix Koenig
Crowd-sourcing in navigation - How selfish drivers help to reduce congestion for all

 

Abstract:
In order to help users beat congestion, TomTom's connected navigation
systems receive traffic information in real time. Simultaneously, they
function as traffic sensors, frequently and anonymously transmitting speed probes.
After a brief overview of some crowd-sourced traffic data, we will look
at a scenario where routes are planned server-side and can hence be
coordinated. We will sketch relevant models and results from algorithmic
game theory. We will conclude with some research challenges and their practical relevance

 

 

Wednesday, 14:15 - 14:40 h, Room: H 0104, Talk 3

Arne Kesting
The dynamics of traffic jams - How data and models help to understand the principles behind

 

Abstract:
Traffic jams are an undesirable result of our individual motor car traffic.
From a scientific point of view, however, traffic congestions
reveal rich collective dynamics in space and time. Based on empirical
data, we will summarise qualitative and quantitative aspects of traffic
jam propagation and show how to describe and simulate them with
mathematical models. Recent findings suggest that traffic instabilities
are of the convective type. Understanding the principles of traffic jams
may help us to realize TomTom's Manifesto - reducing traffic congestion for all

 

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