Incorporating human factors into LCM using fuzzy TCI model

Incorporation of Human Factors (HF) into the mathematical car-following (CF) models has always been the research hotspot. Ignorance of such inclusion would inevitably hinder researchers from acquiring a comprehensive understanding of traffic flow phenomena. This paper proposed a novel CF model in order to bridge three existing research gaps: the demand for more inclusion of HF into the Longitudinal Control Model (LCM); the requirement for a more desirable underlying CF model for the Task Capability Interface (TCI) model; the ignorance of the fuzziness of human brains when modeling Task Difficulty (TD). Specifically, in order to imitate driver’s natural or subjective uncertainty and ambiguity of his TD, the fuzzy logic approach is introduced, and the TD is then incorporated into the LCM. Thereafter, both numerical simulation and field-data validation have been performed. Results indicate that the authors' proposed model is more capable of accommodating HF and exhibits better performance than its predecessor.

• Record URL:
  https://doi.org/10.1080/21680566.2020.1837033
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/21680566
• Supplemental Notes:
  • © 2020 Hong Kong Society for Transportation Studies Limited. Abstract reprinted with permission of Taylor & Francis.
• Authors:
  • Li, Linbo
  • Li, Yang
  • Ni, Daiheng
• Publication Date: 2020-8-21

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 198-218
• Serial:
  • Transportmetrica B: Transport Dynamics
  • Volume: 9
  • Issue Number: 1
  • Publisher: Taylor & Francis
  • ISSN: 2168-0566
  • EISSN: 2168-0582
  • Serial URL: https://www.tandfonline.com/toc/ttrb20/current

Subject/Index Terms

• TRT Terms: Algorithms; Car following; Drivers; Fuzzy logic; Longitudinal control; Mathematical models; Uncertainty
• Subject Areas: Highways; Operations and Traffic Management; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01784489
• Record Type: Publication
• Files: TRIS
• Created Date: Oct 8 2021 9:46AM