Road safety Evaluation based on artificial neural network

DOI

10.2991/icismme-15.2015.140How to use a DOI?

Keywords

Neural network algorithm; Road safety evaluation; new algorithm.

Abstract

BP neural network algorithm is easy to get a local optimum and fall into local loop in calculation, which makes slow training speed and unstable calculation, so the development and application of the algorithm are restricted. The road safety evaluation is an important Part of the traffic safety research. The existing traffic safety evaluation most based on traffic accident data but not the road environment; otherwise, the traffic safety evaluation is usually in the large area but not the road: the methods used most are traffic accident rate and step analysis. For this situation, this paper advanced a new evaluation that uses the factors that influence the road safety. This paper uses ordinary BP algorithm to overcome the above problems. After analyzing the root causes of the defects of BP algorithm, specific calculation steps of genetic algorithm is improved when used to improve BP algorithm first. Then the calculation flows of new algorithm are redesigned.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Gong Li
PY  - 2015/07
DA  - 2015/07
TI  - Road safety Evaluation based on artificial neural network
BT  - Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy
PB  - Atlantis Press
SP  - 679
EP  - 682
SN  - 1951-6851
UR  - https://doi.org/10.2991/icismme-15.2015.140
DO  - 10.2991/icismme-15.2015.140
ID  - Li2015/07
ER  -