An ELM-based traffic flow prediction method adapted to different data types

DOI

10.2991/icimm-16.2016.74How to use a DOI?

Keywords

ELM; non-uniform data; traffic flow prediction

Abstract

Traffic flow prediction has been the crucial aspect in the Intelligent Transport Systems (ITS) and it will help ITS to induce the traffic flow rationally. In this paper, a prediction model based on ELM has been discussed through testing this model with actual data. This model takes advantage of the speed and ability of handling nonlinear system of the ELM algorithm. By analyzing the actual data in Haining County in 2016, the feasibility and advantages of ELM prediction model have been shown when compared with other algorithms. Analyzing the non-uniform and lost data, this model shows the performance that the model can be used in actual application. These characters can remedy the shortcomings which other models have.

Copyright

© 2016, 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  - Xingchao Wang
AU  - Jianming Hu
AU  - Yi Zhang
AU  - Zhenyu Wang
PY  - 2016/11
DA  - 2016/11
TI  - An ELM-based traffic flow prediction method adapted to different data types
BT  - Proceedings of the 6th International Conference on Information Engineering for Mechanics and Materials
PB  - Atlantis Press
SP  - 407
EP  - 412
SN  - 2352-5401
UR  - https://doi.org/10.2991/icimm-16.2016.74
DO  - 10.2991/icimm-16.2016.74
ID  - Wang2016/11
ER  -