An Efficient Optimization Based Vehicle Movement Prediction With Aid of Feed Forward Back Propagation Neural Network

Provided by: International Journal of Computer Applications
Topic: Mobility
Format: PDF
Moving vehicle location prediction method mainly based on their spatial and temporal data. The moving objects has been developed as a specific research area of Geographic Information Systems (GIS). Most of the techniques have been used for performing the vehicle movement detection and prediction process. This type of work is a lack of analysis in predicting the moving vehicles location in current as well as in the future. Existing methods are using a Genetic Algorithm (GA) and Particle Swarm Optimization algorithm (PSO) for finding optimal paths in moving objects.

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