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Dynamic Message Prioritisation for ITS Using Fuzzy Neural Network Technique
Technical Paper
2001-01-0068
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Event:
SAE 2001 World Congress
Language:
English
Abstract
The increasing number of electronic and communication devices used as part of Intelligent Transport System (ITS), brings with it an increasing importance for the employment of message prioritisation technique within in-vehicle networks. As the integration of these devices increases within the vehicle network, there is a requirement for intelligence within the message prioritisation system. The question that arises is, under the increasing ITS nodes within vehicle networks, how can the device messages be prioritised. Especially when there is an occurrence of incidents on-board or off-board the vehicle. Therefore, an incidence based expert system is needed. This paper presents an intelligent message prioritisation system using FNN (fuzzy neural network) techniques for deciding data priority. Such a system is aiming to provide message priority dynamically, especially when a new device is introduced into an in-vehicle system network and when there is a prioritised incident. The application of FNN into the system results in many useful features. The suggested system is expected to be able to provide message prioritisation on any given incident or occasion.
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Authors
Citation
Zhang, A. and Nwagboso, C., "Dynamic Message Prioritisation for ITS Using Fuzzy Neural Network Technique," SAE Technical Paper 2001-01-0068, 2001, https://doi.org/10.4271/2001-01-0068.Also In
References
- Washino S. The present and future trends in automotive electronics Technical Report, Mitsubishi Electric Advance 1997
- Garrett A. Intelligent transport systems - potential benefits and immediate issues Road and Transport Research 7 2 1998
- Nwagboso C. Advanced Vehicle and Infrastructure Systems John Wiley & Sons 1997
- 2000
- Narumiya K. Ikeuchi N. Morikawa Y. Maeda A. Intelligent Transport Systems (ITS) Bring Multimedia to Highways NTT Review 9 4 1997
- Oikawa T. Aoki K. Block Structured In-Vehicle Information network System SAE Paper 980612 SAE special Publications 1998
- Wolfhard Lawrenz CAN System Engineering Springer 1997
- Ni Y. Nwagboso C. O. Zhang A. Samuel J. Intelligent Message Prioritisation for System Integration Through Vehicle Networks SAE Paper 2000-01-0151 01487191 2000
- Von Altrock, Costantin Fuzzy Logic & NeuroFuzzy Applications Explained Prentice Hall PTR 1995
- Ni Y. Nwagboso C. Simulation and Modeling Environment for Vehicle Network-Based System Integration ISATA 2000 Dublin, Ireland 2000