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Models and algorithms for the study of traffic with delay
KTH, School of Engineering Sciences (SCI).
2016 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Trac is an essential matter to examine and understand since it is a paramount aspect of modern

society. The objective in this bachelor thesis is to formulate models that describe the propagation

of vehicles and analyse these using the concepts of stability as well as sensitivity. Moreover, we are

to conclude the suitability of di erent algorithms for this purpose.

Firstly, several di erent models are proposed, they do not only di er in respect to the parameters

that govern the trac, but also in respect to the time delay. The rst main classication of models

have drivers that react instantaneously, whilst the second have a time delay on the response. Furthermore,

the di erent models have participants that observes the surrounding motors in varying

manners; e.g., they may be aware of the preceding vehicle as well as the subsequent one, or just

the vehicle ahead.

After the analysis of the models the conclusion is drawn that trac propagation with delay is more

dicult to modulate in a stable manner. This is a quite expected outcome since the delay entails

that the reaction of the drivers is held up for a period of time, thus the chance to adapt ones' driving

ecaciously is reduced. Furthermore, if the time delay > 0:5 s the model is practically impossible

to modulate in a stable manner i.e., all the possible parameter values result in an unstable trac

situation.

The conclusion regarding stability is drawn from the eigenvalues given by a di erence system. Correspondingly,

the eigenvalue problem of the models with delay is more complex than the equivalent

problem without delay. This is due to the fact that the introduced delay causes the eigenvalue

problem to become nonlinear, whilst the models with no delay give rise to a linear problem. Accordingly,

the algorithms used to solve the nonlinear eigenvalue problem are more sophisticated.

When dealing with calculations of the eigenvalues of large scale systems, special algorithms are

particularly suitable.

Place, publisher, year, edition, pages
2016. , 40 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-193621OAI: oai:DiVA.org:kth-193621DiVA: diva2:1033236
Available from: 2016-10-06 Created: 2016-10-06 Last updated: 2016-10-06Bibliographically approved

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