File Download
There are no files associated with this item.
Supplementary
-
Citations:
- Appears in Collections:
Conference Paper: A study on road junction control method selection using an artificial intelligence multi-criteria decision making framework
| Title | A study on road junction control method selection using an artificial intelligence multi-criteria decision making framework |
|---|---|
| Authors | |
| Issue Date | 2014 |
| Publisher | Springer International Publishing. |
| Citation | AI-2014: The 34th Annual International Conference of the British Computer Society's Specialist Group on Artificial Intelligence (SGAI), Cambridge, UK., 9-11 December 2014. In Research and Development in Intelligent Systems XXXI, 2014, p. 339-344 How to Cite? |
| Abstract | With the increasing number of vehicles on roads, choosing a proper Road Junction Control (RJC) Method has become an important decision for reducing traffic congestion and cost. However, the public awareness of environmental sustainability and diverse voices from different stakeholders make such decision a knotty one. In this paper, an artificial intelligent decision-making framework using Hierarchical Half Fuzzy TOPSIS (HHF-TOPSIS) is proposed for RJC method selection. Compared with the existing qualitative comparison method suggested in the Design Manual for Roads and Bridges, this method can provide a more efficient and objective approach to reach the best compromise against all relevant objectives. |
| Description | The papers from the technical and application streams of AI-2014 will be published by Springer as a single volume, entitled Research and Development in Intelligent Systems XXXI incorporating Applications and Innovations in Intelligent Systems XXII. |
| Persistent Identifier | http://hdl.handle.net/10722/212205 |
| ISBN |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Kwok, PK | - |
| dc.contributor.author | Chau, DWH | - |
| dc.contributor.author | Lau, HYK | - |
| dc.date.accessioned | 2015-07-21T02:27:40Z | - |
| dc.date.available | 2015-07-21T02:27:40Z | - |
| dc.date.issued | 2014 | - |
| dc.identifier.citation | AI-2014: The 34th Annual International Conference of the British Computer Society's Specialist Group on Artificial Intelligence (SGAI), Cambridge, UK., 9-11 December 2014. In Research and Development in Intelligent Systems XXXI, 2014, p. 339-344 | - |
| dc.identifier.isbn | 978-3-319-12068-3 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/212205 | - |
| dc.description | The papers from the technical and application streams of AI-2014 will be published by Springer as a single volume, entitled Research and Development in Intelligent Systems XXXI incorporating Applications and Innovations in Intelligent Systems XXII. | - |
| dc.description.abstract | With the increasing number of vehicles on roads, choosing a proper Road Junction Control (RJC) Method has become an important decision for reducing traffic congestion and cost. However, the public awareness of environmental sustainability and diverse voices from different stakeholders make such decision a knotty one. In this paper, an artificial intelligent decision-making framework using Hierarchical Half Fuzzy TOPSIS (HHF-TOPSIS) is proposed for RJC method selection. Compared with the existing qualitative comparison method suggested in the Design Manual for Roads and Bridges, this method can provide a more efficient and objective approach to reach the best compromise against all relevant objectives. | - |
| dc.language | eng | - |
| dc.publisher | Springer International Publishing. | - |
| dc.relation.ispartof | Research and Development in Intelligent Systems XXXI: Incorporating Applications and Innovations in Intelligent Systems XXII | - |
| dc.title | A study on road junction control method selection using an artificial intelligence multi-criteria decision making framework | - |
| dc.type | Conference_Paper | - |
| dc.identifier.email | Lau, HYK: hyklau@hkucc.hku.hk | - |
| dc.identifier.authority | Lau, HYK=rp00137 | - |
| dc.identifier.doi | 10.1007/978-3-319-12069-0_25 | - |
| dc.identifier.hkuros | 245783 | - |
| dc.identifier.spage | 339 | - |
| dc.identifier.epage | 344 | - |
| dc.publisher.place | Switzerland | - |
| dc.customcontrol.immutable | sml 150724 | - |