Short-term direct travel time prediction for freeway segments

Deepak Kumar Jayabalan, Natarajan Gautam, Ageliki Elefteriadou

Research output: Contribution to conferencePaperpeer-review


This research examines the short-term travel time prediction problem on a link level basis (section of freeway between adjacent traffic sensors). The prediction problem can be abstracted as one of finding a mathematical relationship between the response variable (actual vehicle travel time) on the explanatory variables (detector measurements of speed, flow and occupancy). We use a neuro fuzzy logic approach which gives better extrapolation capability to the models and performs significantly better than purely data driven models such as neural network. Further analysis showed that the inherent variability in travel times limits the accuracy that the models can achieve.

Original languageEnglish (US)
StatePublished - 2006
Externally publishedYes
Event2006 IIE Annual Conference and Exposition - Orlando, FL, United States
Duration: May 20 2006May 24 2006


Conference2006 IIE Annual Conference and Exposition
Country/TerritoryUnited States
CityOrlando, FL


  • Dual loop detectors
  • Membership function
  • Neural network
  • Neuro fuzzy logic

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering


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