Commenced in January 2007
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A Subjectively Influenced Router for Vehicles in a Four-Junction Traffic System
Authors: Anilkumar Kothalil Gopalakrishnan
Abstract:A subjectively influenced router for vehicles in a fourjunction traffic system is presented. The router is based on a 3-layer Backpropagation Neural Network (BPNN) and a greedy routing procedure. The BPNN detects priorities of vehicles based on the subjective criteria. The subjective criteria and the routing procedure depend on the routing plan towards vehicles depending on the user. The routing procedure selects vehicles from their junctions based on their priorities and route them concurrently to the traffic system. That is, when the router is provided with a desired vehicles selection criteria and routing procedure, it routes vehicles with a reasonable junction clearing time. The cost evaluation of the router determines its efficiency. In the case of a routing conflict, the router will route the vehicles in a consecutive order and quarantine faulty vehicles. The simulations presented indicate that the presented approach is an effective strategy of structuring a subjective vehicle router.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1061898Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1017
 K.G. Anilkumar and T. Tanprasert, "Neural Network Based Generalized Job-Shop Scheduler", in Proc. of 2nd IMT-GT Regional Conference on Mathematics, statistics and Applications, Penang, Malaysia, 2006, pp. 53-58.
 K.G Anilkumar and T. Tanprasert, "Neural Network Based Greedy Job Scheduler", in Proc of National Computer Science and Engineering Conference (NCSEC 2006), Thailand, 2006, pp. 257-262.
 K.G Anilkumar and T. Tanprasert, "Generalized Job-shop Scheduler Using Feed Forward Neural Network and Greedy Alignment Procedure", in Proc. of IASTED Conference on Artificial Intelligence and Applications, AIA-2007, Austria, pp. 115-120.
 I. Okhrin and K. Richter, "The Real-Time Vehicle Routing Problem", Operation Research proceedings 2007, Springer Berlin Heidelberg, 2007, pp. 141-146.
 D. Bertsimas, P. Chervi and M. Peterson, "Computational Approaches to Stochastic Vehicle Routing Problems", Journal of Transportation Science, vol. 29, 1995, pp. 342-352.
 V. B. Rao and H. V. Rao, Neural Networks & Fuzzy logic, BPB Publications, Delhi, 1996.
 S. Stinson, An Introduction to the Design and Analysis of Algorithms, Cambridge Press, 1980, pp. 70-92.
 T. H. Cormen, C. E. Leiserson, R. L. Rivest, C. Stein, Introduction to Algorithms, the MIT Press: McGraw-Hill, 2001, pp. 370-399.
 R. A. Johnson and D. W. Wichern, Applied Multivariate Statistical Analysis, 5th edition, NJ: Prentice Hall, NJ, 2002, pp. 668-719.