Vehicular Traffic

Selected Publications and Patents:

M Giacomazzo and Y. Kamarianakis (2019) Bayesian Estimation of Subset Threshold Autoregressions for Short-Term Forecasting of Traffic Occupancy. Journal of Applied Statistics, Submitted.

L. Wynter and Y. Kamarianakis (2015) System and method for incident detection with spatio-temporal thresholds estimated via nonparametric quantile regression, US Patent 2015/0006111 A1.

Y. Kamarianakis (2014) Space-time modeling of traffic variables with adaptive LASSO. JSM Proceedings, Section on Statistical Learning and Data Mining. Alexandria VA: American Statistical Association, 2732-2738.

Q. He, Y. Kamarianakis, K. Jintanakul and L. Wynter (2013) Incident duration prediction with hybrid tree-based quantile regression. In S. Ukkusuri and K. Ozbay (eds), Advances in Dynamic Network Modeling in Complex Transportation Systems (Chapter 12), Springer.

L. Wynter, Q. He, K. Jintanakul and Y. Kamarianakis (2013) Estimating Incident Duration, US Patent 2013/0253808 A1.

Y. Kamarianakis, W. Shen and L. Wynter (2012) Real-time road traffic forecasting using regime-switching space-time models and adaptive LASSO (with discussion). Applied Stochastic Models in Business and Industry, 28, 297-323.

Y. Kamarianakis, H.O. Gao and P. Prastacos (2010) Characterizing regimes in daily cycles of urban traffic using smooth transition regressions. Transportation Research Part C: Emerging Technologies, 18, 821-840.

Y. Kamarianakis, A. Kanas and P. Prastacos. (2005) Modeling traffic flow volatility dynamics in an urban network. Transportation Research Record-Journal of the Transportation Research Board, No. 1923, 18-27.

Y. Kamarianakis and P. Prastacos (2005) Space-time modeling of traffic flow. Computers & Geosciences 31, 119-133.