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SCS colloquium: Modeling and Control of Heterogeneous Vehicular Traffic Flow

Speaker: Puspita Deo (Marine & Transport Technology Department, Delft University of Technology, Delft, The Netherlands)

What
When 23 Oct 2009
from 15:00 to 16:00
Where F0.13
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Please note the time of our next SCS colloquium. It will start at 15:00!


Day: Friday 23-10-09
Time: 15:00-16:00
Place: room F0.13

Program:

-Speaker: Puspita Deo (Marine & Transport Technology Department, Delft University of Technology, Delft, The Netherlands)

Title: Modeling and Control of Heterogeneous Vehicular Traffic Flow 
 
Summary :
Heterogeneous traffic flows consist of vehicles with different speeds, sizes, and dynamics 
(such as passenger cars, trucks, buses, etc.) sharing the same road or highway. Many 
traffic flow models assume homogeneous traffic flows in which all vehicles are identical. 
However, heterogeneous traffic flows are more complicated than homogeneous flows 
because the interaction between the different types of vehicles and their dynamics may 
give rise to many complex phenomena that cannot adequately be captured by a 
homogeneous traffic flow model. Therefore in this presentation I will give an overview of 
the research I have done in connection with heterogeneous traffic flow modelling and 
control of urban and highway traffic networks.  
 
Concerning urban network, it will be focused on microscopic cellular automata (CA) 
methodology of controlled and uncontrolled intersection and roundabout. In this 
heterogeneous model, space mapping rules are used for each vehicle type. Update rules 
are defined based on given and neighbouring cell states at each time step, on manoeuvre 
complexity and on acceptable space criteria for different vehicle types. The impact of 
vehicle mix on the overall performance (throughput) of an intersection and roundabout 
are discussed. 
 
Regarding highway traffic network, it will be discussed how the macroscopic multi-class 
METANET model is used to examine the highway traffic flows. Multi-class model takes 
into account the differences between, e.g., fast vehicles (cars) and slow vehicles (trucks) 
including their different free-flow speeds and other network parameters. Next, I show 
how this model can be used in a model-based predictive control (MPC) approach to 
determine appropriate ramp metering and speed limits signal to optimize total time spent 
by the vehicles in the networks.  
 

- "Computational Science 5 minutes"

- Drinks

The future colloquia will be announced at: http://uva.computationalscience.nl/events

Don't forget to send any interesting scientific news or articles you have found to Breanndán (bon@science.uva.nl) with "5minutes" in the subject.