Modeling and analyzing a generic nine node traffic network using a microscopic simulator
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Sähkötekniikan korkeakoulu |
Master's thesis
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Authors
Date
2020-08-17
Department
Major/Subject
Space robotics and automation
Mcode
SFESPOO12
Degree programme
Erasmus Mundus Space Master
Language
en
Pages
34+46
Series
Abstract
Traditionally traffic signals are controlled by a fixed cycle algorithm. However, in the urban transportation network which is well defined this can be bettered using adaptive signalling. The thesis examines a generic nine node network to verify the efficiency of Max-weight algorithm under different scenarios. Traffic simulations are achieved using PTV Vissim 11, a microscopic traffic simulator, whereas MATLAB R2019b was used to execute the algorithm and plot the results. The communication between the two software requires parallel computation of multiple lanes at any particular moment. The interface was studied to optimize transfer of vehicular information. The analysis confirmed our belief as Max-Weight algorithm was more efficient than the fixed cyclic control. Even the addition of higher levels of noise outperformed the network running on a fixed cycle algorithm. However, a filtered max-weight algorithm is theoretically the most pragmatic solution for traffic control. This is discussed but not implemented in the report and is definitely a topic to investigate in the future.Description
Supervisor
Charalambous, ThemistoklisThesis advisor
Charalambous, ThemistoklisKeywords
traffic control, max-weight algorithm, parallel computation, particle filter