DESIGN AND SIMULATION OF TRAFFIC LIGHT CONTROL FOR TWO INTERSECTIONS USING MAX-PLUS MODEL PREDICTIVE CONTROL
Traffic control is an effort to reduce traffic jam throughout major cities after conventional ways regarded as not effective. New addition of infrastructure such as Transjakarta to deplete traffic jam has been unfavorable in terms of the cost and result. Due to that, there has to be some other wa...
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id-itb.:449142019-11-13T10:15:01ZDESIGN AND SIMULATION OF TRAFFIC LIGHT CONTROL FOR TWO INTERSECTIONS USING MAX-PLUS MODEL PREDICTIVE CONTROL Zaky, Muhammad Teknik (Rekayasa, enjinering dan kegiatan berkaitan) Indonesia Final Project Clustering, Gaussian Method, Hessian Matrix, Model Predictive Control, Traffic Control. INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/44914 Traffic control is an effort to reduce traffic jam throughout major cities after conventional ways regarded as not effective. New addition of infrastructure such as Transjakarta to deplete traffic jam has been unfavorable in terms of the cost and result. Due to that, there has to be some other ways, one of which isoptimizing traffic light system by manipulating the duration of green and red periods which will affect vehicle flow in real time manner. This adaptive traffic light will minimize the queue length by means of nonlinear function with constraints. In order to predict vehicles flow, clustering method has been used to group upon each vehicle volume with similar values for each day. To cluster these values, Gaussian method is used to manifest the real condition into model simulation. After flow model manage to be acquired, optimization with quasi-Newton is used to approximate Hessian matrix which will then represent the minimum queue length of vehicles. This optimization system is combined withmax plusMPC in order to give better result. text |
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Teknik (Rekayasa, enjinering dan kegiatan berkaitan) Zaky, Muhammad DESIGN AND SIMULATION OF TRAFFIC LIGHT CONTROL FOR TWO INTERSECTIONS USING MAX-PLUS MODEL PREDICTIVE CONTROL |
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Traffic control is an effort to reduce traffic jam throughout major cities after
conventional ways regarded as not effective. New addition of infrastructure such
as Transjakarta to deplete traffic jam has been unfavorable in terms of the cost and
result. Due to that, there has to be some other ways, one of which isoptimizing
traffic light system by manipulating the duration of green and red periods which
will affect vehicle flow in real time manner.
This adaptive traffic light will minimize the queue length by means of nonlinear
function with constraints. In order to predict vehicles flow, clustering method has
been used to group upon each vehicle volume with similar values for each day. To
cluster these values, Gaussian method is used to manifest the real condition into
model simulation. After flow model manage to be acquired, optimization with
quasi-Newton is used to approximate Hessian matrix which will then represent the
minimum queue length of vehicles. This optimization system is combined
withmax plusMPC in order to give better result. |
format |
Final Project |
author |
Zaky, Muhammad |
author_facet |
Zaky, Muhammad |
author_sort |
Zaky, Muhammad |
title |
DESIGN AND SIMULATION OF TRAFFIC LIGHT CONTROL FOR TWO INTERSECTIONS USING MAX-PLUS MODEL PREDICTIVE CONTROL |
title_short |
DESIGN AND SIMULATION OF TRAFFIC LIGHT CONTROL FOR TWO INTERSECTIONS USING MAX-PLUS MODEL PREDICTIVE CONTROL |
title_full |
DESIGN AND SIMULATION OF TRAFFIC LIGHT CONTROL FOR TWO INTERSECTIONS USING MAX-PLUS MODEL PREDICTIVE CONTROL |
title_fullStr |
DESIGN AND SIMULATION OF TRAFFIC LIGHT CONTROL FOR TWO INTERSECTIONS USING MAX-PLUS MODEL PREDICTIVE CONTROL |
title_full_unstemmed |
DESIGN AND SIMULATION OF TRAFFIC LIGHT CONTROL FOR TWO INTERSECTIONS USING MAX-PLUS MODEL PREDICTIVE CONTROL |
title_sort |
design and simulation of traffic light control for two intersections using max-plus model predictive control |
url |
https://digilib.itb.ac.id/gdl/view/44914 |
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