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An LTE implementation based on a road traffic density model
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, The Institute of Technology.
2013 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The increase in vehicular traffic has created new challenges in determining the behavior of performance of data and safety measures in traffic. Hence, traffic signals on intersection used as cost effective and time saving tools for traffic management in urban areas. But on the other hand the signalized intersections in congested urban areas are the key source of high traffic density and slow traffic. High traffic density causes the slow network traffic data rate between vehicle to vehicle and vehicle to infrastructure. To match up with the emerging technologies, LTE takes the lead with good packet delivery and versatile to changes in the network due to vehicular movements and density. This thesis is about analyzing of LTE implementation based on a road traffic density model. This thesis work is aimed to use probability distribution function to calculate density values and develop a real traffic scenario in LTE network using density values. In order to analyze the traffic behavior, Aimsun simulator software has been used to represent the real situation of traffic density on a model intersection. For a realistic traffic density model field measurement were used for collection of input data. After calibration and validation process, a close to realty results extracted and used a logistic curve of probability distribution function to find out the density situation on each part of intersection. Similar traffic scenarios were implemented on MATLAB based LTE system level simulator. Results were concluded with the whole traffic scenario of 90 seconds and calculating the throughput at every traffic signal time and section. It is quite evident from the results that LTE system adopts the change of traffic behavior with dynamic nature and allocates more bandwidth where it is more needed.

Place, publisher, year, edition, pages
2013. , 80 p.
Keyword [en]
Vehicular Traffic Density, LTE, ITS, Vehicle to Infrastructure, Probability Distribution Function.
National Category
Other Engineering and Technologies not elsewhere specified
URN: urn:nbn:se:liu:diva-101990ISRN: LiU-ITN-TEK-13/062-SEOAI: diva2:667233
Subject / course
Transportation Systems Engineering
Available from: 2013-11-26 Created: 2013-11-26 Last updated: 2013-11-26Bibliographically approved

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Rashid, Muhammad Asim
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Communications and Transport SystemsThe Institute of Technology
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