Simulation of traffic flow using methods of neural network

Student: Smagin Lev

Faculty: HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE)

Educational Programme: Information Science and Computation Technology (Bachelor)

Year of Graduation: 2018

The purpose of this work is to develop a mathematical model using neural network methods for modeling transport approaches. There have been investigated the problems of existing solutions, revealed limitations in the scope of each approach, defined the key advantages of using neural networks. The result of this work is the realization of the mathematical model using MLP and GRNN networks and comparison of the results of their work on the test sample. Scientific value in the work is an approach to traffic flow forecasting using heterogeneous data. Volume of work – 36 pages, 11 graphic materials, 2 tables, 28 sources are used in the work.

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