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September 12, 2011
STAR OUTREACH DAY
ROAD TRAFFIC AND STOCHASTICS
The stochastics cluster STAR is organizing an Outreach Day on the topic "Road traffic and stochastics", in collaboration with the 3TU Applied Mathematics Institute (3TU-AMI) and the Committee for Innovation of Platform Wiskunde Nederland (PWN).
Monday September 12
Marko Boon (TU/e)
One of the most elementary queueing problems in road traffic is the so-called roadblock problem, where a two-way road is partially blocked and the traffic arriving from both directions has to share one single lane. A major challenge is to find optimal settings for the traffic lights regulating the traffic. Much is known about control policies that make use of a fixed cycle, and about exhaustive control policies (traffic lights turn red as soon as the corresponding queues have vanished). However, the most popular control policy in practice is the time-limited control policy, which uses maximum green times. Although the roadblock problem is very elementary, it is well-known that already for this basic problem an exact queue-length analysis is generally impossible if the time-limited control policy is used. In this talk we will discuss new insights in limited control policies, that have resulted in an exact heavy-traffic analysis and the development of a new, very accurate approximation for the mean waiting times.
Victor Knoop (Delft University of Technology)
Stochasticity in traffic supply
The maximum flow of vehicles over a road per unit of time is
called the capacity. Traffic engineering handbooks traditionally consider this a
fixed characteristic of the road. However, a closer look reveals that the road
capacity is actually determined by drivers. The lower the headway they maintain,
the more vehicles can flow over the road. The minimum headway differs per
driver, so the capacity depends on the composition of driver types. The traffic
dynamics even more depend on drivers characteristics. Whether a braking
manoeuvre of one driver results in a traffic jam or not, depends on the
following behaviour of the other drivers. Sensitive drivers can react by a more
fierceful braking, thus creating a stop-and-go wave. There are external
stochastic variables as well, for instance the weather, which influence the
Stefan Lämmer (Technical University Dresden)
Self-control of traffic lights in urban road networks
A new traffic light control concept allows for variable
adjustments not only of the duration, but also of the order of green phases. The
control strategy is based on travel time minimization, utilizing a combination
of anticipation, optimization, and stabilization. Since this leads to a purely
autonomous, demand-responsive behavior of the traffic lights at each
intersection, we refer to this control principle as "self-control".
Mattieu Nuijten (Advin BV)
A view on stochastic processes applied in traffic engineering
Our dream: fast, clean, safe
Intelligent Transport Systems (ITS) refers to information and
communication technologies, applied to transport, traffic and infrastructure.
With applied IT Systems we reach out for our dreams (our goals) on transport
safety, travel reliability, environmental performance and network operations.
Where do stochastic processes come in?
Henk Taale (TrafficQuest and TU Delft)
Anticipatory Control: Part of the Future of Traffic Management
In the Netherlands traffic management is an important approach to minimise the negative effects of increasing congestion. Measures such as ramp metering and route information, but also the traditional traffic signal control is used. The focus in planning traffic management has been on local measures. However, there is a tendency to come to a more centralised way of traffic management. The interaction with the route choice behaviour and other traffic management measures becomes an important aspect of the control strategy design. This is called anticipatory control. Anticipatory control can contribute to a better use of the infrastructure in relation with policy objectives. It is a traffic management method, which takes into account dynamic route choice behaviour of travellers. The presentation will describe the perspective of traffic management and the principles of anticipatory control.
Erik Verhoef (VU Amsterdam)
Variability of travel times: an economic perspective
Carlo van de Weijer (TomTom)
TomTom’s philosophy for the future traffic management
Traffic congestion is an issue that virtually every driver has
to contend with at some point in their life. It affects millions of people all
over the world and has serious effects on drivers at personal, business and
societal levels. Today there is an estimated one billion cars on our roads
around the world and traffic congestion is a problem that virtually every
government is grappling with. Traffic officials are facing challenges around
affordability constraints, increasing emissions and growing driver need. But the
information era will also have its effect on traffic. In stead of a top down
controlled mechanism, traffic management is quickly evolving to a self-regulated
system of well informed drivers.
For all information on how to come to Eindhoven, please check http://www.eurandom.tue.nl/contact.htm