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Microscopic Models for Trac Dynamics
KTH, School of Engineering Sciences (SCI).
2016 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

As the volume of vehicular trac has been increasing ever since its

advent in the early 20th century, trac dynamics has become a popu-

lar topic of study amongst physicists and mathematicians. This paper

aims to explain di erent ways of modeling and simulating trac and

trac dynamics. In general, modeling of trac can be divided into

two types of models, microscopic and macroscopic. In this paper, pri-

mary focus is on microscopic models. Examples are shown on how

to implement simulations of so called car-following models as well as

models based on cellular automata. Certain problems and scenarios

regarding trac are studied as well. These include how to eciently

distribute a roadblock, how to set the green/red time periods of a traf-

c light in order to achieve a high trac ow or a low vehicle density,

and how trac ow can be maximized with respect to density or other

parameters. Results show that simulations using cellular automata

models generally compute faster than simulations using car-following

models. However, the results obtained from cellular automata models

tend to be more dicult to interpret and apply to real-world sce-

narios. A high level of stochasticity in the cellular automata models

was also found to be necessary for the models to give applicable re-

sults. Car-following models, on the other hand, were found to have

the advantage of being more deterministic.

Place, publisher, year, edition, pages
2016. , 27 p.
National Category
Engineering and Technology
URN: urn:nbn:se:kth:diva-195695OAI: diva2:1045073
Available from: 2016-11-08 Created: 2016-11-08 Last updated: 2016-11-08Bibliographically approved

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