1. UKM Learning and Research Repository
2. PHD Thesis / Tesis PHD
3. Faculty of Engineering and Built Environment / Fakulti Kejuruteraan dan Alam Bina

Title:	Propagation Modelling And Link Planning For Intelligent Traffic Light Management System At 5.8 Ghz
Authors:	Anwar Hassan Ibrahim (P31451)
Supervisor:	Mahamod Ismail, Prof. Dr.
Keywords:	Propagation Modelling And Link Planning For Intelligent Traffic Light Management System Propagation Modelling For Intelligent Traffic Light Management System Link Planning For Intelligent Traffic Light Management System Intelligent Traffic Light Management System At 5.8 Ghz Transportation engineering--Management
Issue Date:	5-Sep-2013
Description:	Intelligent Traffic Light Management System (ITLMS) has been deployed to improve the management of traffic flow and hence reducing the long queue at the traffic light junction. In order to coordinate the traffic junctions, communication between them via point-to-point and point-to-multipoint wireless links at 5.8 GHz is established. A good link planning must consider various factors such as environmental conditions, terrain profiles and antenna location. The objectives of this research are to characterize the propagation environment and establishing an accurate propagation prediction model, to develop a software planning tool for link planning for ITLMS and to analyze the impact of propagation impairment of the queue management model. An urban area within Bandar Baru Bangi and Kajang, Selangor Malaysia has been selected as the study area. The data collected includes the quality of the received signal under various environmental conditions such as rain, temperature, and humidity. A modified propagation model derived from log-distance model was formulated based on 700 samples of data. The effect of environmental and k-factor that varies throughout the year also been considered when predicting the link quality. Furthermore, the prediction model was integrated with the Ray Tracing method to enhance the link planning. The link planning was implemented using a MATLAB program with a friendly user interface namely Software Planning Tool for ITLMS (SPT-ITLMS). The research finding confirmed that there was no significant statistical difference between measured and predicted received signal using modified log-distance model at 95% confidence limit. However, in certain Line-of-Sight (LOS) and Non-LOS (NLOS) cases, the error can reach up to 4 and 6 dB correspondingly due to the topographical and terrain profile. The error using the integrated Ray Tracing model was reduced to 2.21 and 4.78 dB for LOS and NLOS conditions respectively. The error was further reduced to 1.18 dB when the number of rays was increased from 5 to 12 and the primary angle of the ray was 640. Finally, by integrating the predicted link quality due to signal propagation impairment in the queue management model, the average queue time per cycle can be managed more efficiently.,PhD
Pages:	163
Call Number:	TA1145 .A546 2013 3
Publisher:	UKM, Bangi
Appears in Collections:	Faculty of Engineering and Built Environment / Fakulti Kejuruteraan dan Alam Bina

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