Abstract
Many methodologies have been developed to rank entities. The goal of developing ranking methodologies is to provide a means for decision-making. The current issue with ranking is that most results in terms of ranks are based on only one method. To resolve this issue, this paper proposes a hybrid model approach in the area of transportation and traffic safety. The hybrid model consists of the Normalized Score Summation Method, Principal Component Analysis, and the similarity measure based on the Proportion Discordance Ratio. The goal of this paper is to ensure the consistency of results from the three methodologies mentioned above. Its numeric analysis shows that results based on the hybrid model are more realistic and robust than the ones solely based on only one method.
| Original language | English (US) |
|---|---|
| Title of host publication | 2018 IEEE Intelligent Transportation Systems Conference, ITSC 2018 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 772-777 |
| Number of pages | 6 |
| Volume | 2018-November |
| ISBN (Electronic) | 9781728103235 |
| DOIs | |
| Publication status | Published - Dec 7 2018 |
| Event | 21st IEEE International Conference on Intelligent Transportation Systems, ITSC 2018 - Maui, United States Duration: Nov 4 2018 → Nov 7 2018 |
Other
| Other | 21st IEEE International Conference on Intelligent Transportation Systems, ITSC 2018 |
|---|---|
| Country | United States |
| City | Maui |
| Period | 11/4/18 → 11/7/18 |
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Keywords
- Hybrid Model
- Principal Component Analysis
- Ranking
- Similarity
- Traffic Congestion
- Traffic Safety
ASJC Scopus subject areas
- Automotive Engineering
- Mechanical Engineering
- Computer Science Applications