Short-term direct travel time prediction for freeway segments Conference Paper uri icon

abstract

  • 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.

published proceedings

  • 2006 IIE Annual Conference and Exhibition

author list (cited authors)

  • Jayabalan, D. K., Gautam, N., & Elefteriadou, A.

complete list of authors

  • Jayabalan, DK||Gautam, N||Elefteriadou, A

publication date

  • January 2006