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| Content Provider | IET Digital Library |
|---|---|
| Author | Osaba, Eneko Onieva, Enrique Moreno, Asier Garcia, Pedro Lopez Perallos, Asier Bringas, Pablo G. |
| Abstract | This study is focused on a decentralised intelligent transportation systems with distributed intelligence based on classification techniques. The rationale behind this architecture is to offer a fully distributed, flexible and scalable system. The architecture encompasses the entire process of capture and management of available road data, enabling the generation of services to promote transportation efficiency. Besides that, thanks to the embedded classification techniques, the system is capable of predicting and reacting to certain events, facing them in an appropriate way. The aim of this work is to demonstrate how the system works in two different real-world use cases. To achieve this objective, how the architecture acts to deal with some incidences is proven. In addition, both use cases serve to show the effective communication between the different components of the system. Besides this, this work demonstrates the fundamental role played by the artificial intelligence techniques working in the system. The well-known C4.5 algorithm has been used for the accurate prediction of traffic congestion and pollution level. The authors explain in this work the reasons for using this classification technique, and the previous experiments performed. |
| Starting Page | 674 |
| Ending Page | 682 |
| Page Count | 9 |
| ISSN | 1751956X |
| Volume Number | 10 |
| e-ISSN | 17519578 |
| Issue Number | Issue 10, Dec (2016) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-its/10/10 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-its.2016.0047 |
| Journal | IET Intelligent Transport Systems |
| Publisher Date | 2016-09-06 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Artificial Intelligence Artificial Intelligence Technique Available Road Data Capture Available Road Data Management C4.5 Algorithm Classification Technique Data Handling Technique Decentralised Intelligent Transport System Distributed Intelligence Distributed Processing Distributed System Software Expert System And Other AI Software And Technique Intelligent Transport System Pattern Classification Pollution Level Prediction Traffic Congestion Prediction Traffic Engineering Computing |
| Content Type | Text |
| Resource Type | Article |
| Subject | Law Transportation Environmental Science Mechanical Engineering |
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