Traffic Congestion Assessment of Metropolitan Areas Through Hybrid Model Ranking

Alexander S. Lee, Wei Hua Lin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish (US)
Title of host publication2018 IEEE Intelligent Transportation Systems Conference, ITSC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages772-777
Number of pages6
Volume2018-November
ISBN (Electronic)9781728103235
DOIs
StatePublished - Dec 7 2018
Event21st IEEE International Conference on Intelligent Transportation Systems, ITSC 2018 - Maui, United States
Duration: Nov 4 2018Nov 7 2018

Other

Other21st IEEE International Conference on Intelligent Transportation Systems, ITSC 2018
CountryUnited States
CityMaui
Period11/4/1811/7/18

Fingerprint

Traffic congestion
Principal component analysis
Decision making

Keywords

  • Hybrid Model
  • Principal Component Analysis
  • Ranking
  • Similarity
  • Traffic Congestion
  • Traffic Safety

ASJC Scopus subject areas

  • Automotive Engineering
  • Mechanical Engineering
  • Computer Science Applications

Cite this

Lee, A. S., & Lin, W. H. (2018). Traffic Congestion Assessment of Metropolitan Areas Through Hybrid Model Ranking. In 2018 IEEE Intelligent Transportation Systems Conference, ITSC 2018 (Vol. 2018-November, pp. 772-777). [8569603] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ITSC.2018.8569603

Traffic Congestion Assessment of Metropolitan Areas Through Hybrid Model Ranking. / Lee, Alexander S.; Lin, Wei Hua.

2018 IEEE Intelligent Transportation Systems Conference, ITSC 2018. Vol. 2018-November Institute of Electrical and Electronics Engineers Inc., 2018. p. 772-777 8569603.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Lee, AS & Lin, WH 2018, Traffic Congestion Assessment of Metropolitan Areas Through Hybrid Model Ranking. in 2018 IEEE Intelligent Transportation Systems Conference, ITSC 2018. vol. 2018-November, 8569603, Institute of Electrical and Electronics Engineers Inc., pp. 772-777, 21st IEEE International Conference on Intelligent Transportation Systems, ITSC 2018, Maui, United States, 11/4/18. https://doi.org/10.1109/ITSC.2018.8569603
Lee AS, Lin WH. Traffic Congestion Assessment of Metropolitan Areas Through Hybrid Model Ranking. In 2018 IEEE Intelligent Transportation Systems Conference, ITSC 2018. Vol. 2018-November. Institute of Electrical and Electronics Engineers Inc. 2018. p. 772-777. 8569603 https://doi.org/10.1109/ITSC.2018.8569603
Lee, Alexander S. ; Lin, Wei Hua. / Traffic Congestion Assessment of Metropolitan Areas Through Hybrid Model Ranking. 2018 IEEE Intelligent Transportation Systems Conference, ITSC 2018. Vol. 2018-November Institute of Electrical and Electronics Engineers Inc., 2018. pp. 772-777
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