AU Abstracts 2009 - AU Journal - Assumption University of Thailand

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Faculty of Science and Technology The 9 th International Conference on Intelligent Technologies (InTech’08) Samui, Surat Thani, Thailand, 7-9 October 2008 1. A Subjective Scheduler Based on Neural Network for Scheduling Vehicles in a Four- Junction Traffic System Kothalil Gopalakrishnan Anilkumar and Thitipong Tanprasert ……………………….19 2. An Improved Technique for Retraining Neural Networks In Adaptive Environment Thitipong Tanprasert, Piyabute Fuangkhon and Chularat Tanprasert ………………20 International Conference on Information and Communication Technologies (ICICT) Hong Kong, 23-25 March 2009 3. Using the Students-as-Customers Concept in Technology Disciplines: Students’ Perspectives Boonlert Watjatrakul ………………………………………………………………………21 The 6 th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON 2009) Phatthaya, Chon Buri, Thailand, 6-9 May 2009 4. An Incremental Learning Algorithm for Supervised Neural Network with Contour Preserving Classification Piyabute Fuangkhon and Thitipong Tanprasert ……………………………………….22 18
A Subjective Scheduler Based on Neural Network for Scheduling Vehicles in a Four-Junction Traffic System Kothalil Gopalakrishnan Anilkumar and Thitipong Tanprasert Faculty of Science and Technology, Assumption University This paper presents a Backpropagation Neural Network (BPNN) based subjective scheduler which schedules vehicles in a proposed four-junction traffic system. The scheduler is a hybrid structure of a 3-layer BPNN and a greedy vehicle alignment procedure. The BPNN is properly trained with an initial dataset which is generated on the basis of a given subjective criteria. The BPNN detects priorities of each vehicle based on their attributes. The alignment procedure selects a vehicle from each junction node at a time based on their priorities. Then concurrently allows each vehicle to flow into the system in order to minimize the overall clearing time of vehicles without violating the node constraints. At the same time, the scheduler checks whether there are any route conflicts between vehicles. In case of a route conflict between vehicles is detected then the scheduler prevents their concurrent flow and allows them to flow consecutively. The proposed cost evaluation indicates that the performance of the scheduler is reasonable. Keywords: Backpropagation algorithm; greedy alignment procedure; subjective criteria; priority; route generation. Presented at: The 9 th International Conference on Intelligent Technologies (InTech’08), Samui, Surat Thani, Thailand, 7-9 October 2008. Published in: Proc. InTech’08, pp. 93-101. Full paper requisition: 19
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AU Abstracts 2009 - AU Journal - Assumption University of Thailand

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