Fuzzy Inference System for Congestion Index Estimation Based on Speed Probability Distributions

The increased development of the urban areas consequently results in a larger number of vehicles on the road network, which inevitably leads to traffic congestion, especially in the rush hours. Intelligent transport systems solutions present the applications that can be useful in detecting and dealing with the problems that are related to congestion. This paper presents a method for the congestion index estimation using the speed transition matrix and the corresponding center of mass. The congestion index is estimated using a Fuzzy Inference System optimized by adopting the Genetic Algorithm. In this paper, the large real-world Global Navigation Satellite System data are used to evaluate the proposed method for the traffic state estimation of most relevant road segments in the largest city in Croatia, the City of Zagreb. The validation of results is performed using the domain knowledge presented in the Highway Capacity Manual, which resulted in the model’s precision of 94.6%. The result indicates a possible application of the method for the congestion estimation in urban centers.

• Record URL:
  https://doi.org/10.1016/j.trpro.2021.07.124
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S2352146521005408
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/23521465
• Supplemental Notes:
  • © 2021 Leo Tišljarić, et al. Published by Elsevier B.V. Abstract reprinted with permission of Elsevier.
• Authors:
  • Tišljarić, Leo
  • Ivanjko, Edouard
  • Kavran, Zvonko
  • Carić, Tonči
• Conference:
  • 14th International Scientific Conference on Sustainable, Modern and Safe Transport (TRANSCOM)
  • Date: 2021-5-26 to 2021-5-28
• Publication Date: 2021

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 1389-1397
• Serial:
  • Transportation Research Procedia
  • Volume: 55
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 2352-1465
  • Serial URL: http://www.sciencedirect.com/science/journal/23521465/
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Central business districts; Indexes (Information management); Intelligent transportation systems; Traffic congestion; Validation
• Identifier Terms: Global Navigation Satellite System
• Geographic Terms: Zagreb (Croatia)
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Safety and Human Factors;

Filing Info

• Accession Number: 01779685
• Record Type: Publication
• Files: TRIS
• Created Date: Aug 24 2021 11:16AM