Development of algorithm for traffic management using RFID /
A new application of radio frequency identification (RFID) in road and transport management is presented. The system avoids problems that usually arise with other traffic control systems such as image processing and beam interruption techniques. A state of the art of ubiquitous real time traffic man...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
Gombak, Selangor :
Kulliyyah of Engineering, International Islamic University Malaysia,
2008
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| Subjects: | |
| Online Access: | Click here to view 1st 24 pages of the thesis. Members can view fulltext at the specified PCs in the library. |
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| Summary: | A new application of radio frequency identification (RFID) in road and transport management is presented. The system avoids problems that usually arise with other traffic control systems such as image processing and beam interruption techniques. A state of the art of ubiquitous real time traffic management is proposed. It provides a solution for multi-vehicles, multilane, multi road junction areas, where high probability of traffic congestion exists. The proposed Intelligent Dynamic Time Scheduling” algorithm emulates the judgment of a team of traffic policeman on duty. The real time operation can compliment other expert system such as self-learning swarm intelligent concept. Hence the system aims at saving a large amount of manhours caused by traffic problems and accidents, where prevention can save lives and property. It is also able to manage priority emergency tag vehicles. It offers a valuable detailed database records and preference to planner and investigators. A system model assumes that vehicles are tagged with RFID to provide easy online access to the system that identifies type, size and route of a specific vehicle. The information is stored in a centralized server. The data is then used to organize traffic into cluster of appropriate numbers, commensurate with online statistical analysis. Intelligent algorithm sets real time Green wave speeds for Max junction efficiency, and multiple controllers follow an intelligent mark to space ratio of R-G according to batch size of the traffic cluster. Real time determination of lane and routing priority decisions are taken and changed with the dynamic situation. One of the main features of the system is that the network architecture can readily incorporate the existing centrally controlled system which integrates CCTV cameras, wireless link and remotely controlled traffic light switches. Another major feature is that the operations can be communicated from any head-quarters to any location in the system securely via internet. |
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| Item Description: | "A dissertation submitted in partial fulfilment of the requirements for the degree of Master of Sciences (Computer and Information Engineering)."--On t.p. |
| Physical Description: | xii, 136 leaves : ill. ; 30 cm. |
| Bibliography: | Includes bibliographical references (leaves 110-113). |