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- W2582093462 abstract "Low-cost, flexible, easily maintainable and secure traffic management support systems are in demand. Internet-based real time bi-directional communication provides significant benefits to monitor road traffic conditions. Dynamic route computation is a vital requirement to make the traffic management system more realistic and reliable. Therefore, an integrated approach with multiple data feeds and Backpropagation (BP) Neural Network (NN) with Levenberg-Marquardt (LM) optimization is applied to predict the road weights. The results indicate that the proposed traffic system/tool with NN based dynamic weights computation is much more effective to find the optimal routes. The BP NN with LM optimization achieves 96.67% accuracy." @default.
- W2582093462 created "2017-02-03" @default.
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- W2582093462 date "2016-10-01" @default.
- W2582093462 modified "2023-09-24" @default.
- W2582093462 title "Neural Network (NN) Based Route Weight Computation for Bi-Directional Traffic Management System" @default.
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- W2582093462 doi "https://doi.org/10.4018/ijaec.2016100103" @default.
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