Institute for Transport Studies (ITS)

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Dr Luigi Pariota

Visiting Research Fellow


Key Research Interests

  • Driving behaviour
  • Advanced Driver Assistance Systems
  • Virtual testing
  • Traffic Simulation
  • V2X communication


  • PhD "Doctor Europaeus", Driving Behaviour for ADAS: theoretical and experimental analyses. University of Naples "Federico II", Italy, 2013
  • MSc Transportation Engineering, University of Naples "Federico II", Italy, 2009 

Participation in ongoing Research Projects at the University of Leeds

  • Programme for Simulation Innovation (PSi) Theme 3 "Driving Simulation", funded by EPSRC, 2016-present.

Participation in ongoing Research Projects abroad

  • MIT-Massachussets Institute of Technology, Future freight and logistics survey: integrated data collection using mobile sensing, wireless communication and machine learning algorithm, funded by The Federal Highway Administration of the United States Department of Transportation, 2016-present.
  • University of Naples "Federico II", Apps4Safety - Active Preventive Passive Solutions for Safety: an integrated approach to develop safer cars, funded by the Italian Ministry of Education, University, and Research, 2014-present

Previous experiences

  • University of Naples "Federico II", DriveIn2 - DRIVEr monitoring technologies, methodologies, and IN-vehicle INnovative systems, funded by the Italian Ministry of Education, University, and Research, 2011-2014




  • Pariota L; Bifulco GN; Galante F; Montella A; Brackstone M (2016) Longitudinal control behaviour: Analysis and modelling based on experimental surveys in Italy and the UK, Accident Analysis and Prevention, 89, pp.74-87. doi: 10.1016/j.aap.2016.01.007
  • CartenĂ­ A; Pariota L; Henke I (2016) The effects of High Speed Rail on the touristic attractiveness of the main Italian cities, Ingegneria Ferroviaria, 71, pp.229-245.
  • Pariota L; Galante F; Bifulco GN (2016) Heterogeneity of driving behaviors in different car-following conditions, Periodica Polytechnica Transportation Engineering, 44, pp.105-114. doi: 10.3311/PPtr.8609
  • Pariota L; Bifulco GN; Brackstone M (2016) A linear dynamic model for driving behavior in car following, Transportation Science, 50, pp.1032-1042. doi: 10.1287/trsc.2015.0622
  • Pariota L; Bifulco GN (2015) Experimental evidence supporting simpler Action Point paradigms for car-following, Transportation Research Part F: Traffic Psychology and Behaviour, 35, pp.1-15. doi: 10.1016/j.trf.2015.08.002
  • Bifulco G; Galante F; Pariota L; Spena M (2015) A Linear Model for the Estimation of Fuel Consumption and the Impact Evaluation of Advanced Driving Assistance Systems, Sustainability, 7, pp.14326-14343. doi: 10.3390/su71014326
  • Montella A; Galante F; Mauriello F; Pariota L (2015) Effects of Traffic Control Devices on Rural Curve Driving Behavior, Transportation Research Record: Journal of the Transportation Research Board, 2492, pp.10-22. doi: 10.3141/2492-02
  • Montella A; Galante F; Mauriello F; Pariota L (2015) Low-cost measures for reducing speeds at curves on two-lane rural highways, Transportation Research Record, 2472, pp.142-154. doi: 10.3141/2472-17
  • Montella A; Pariota L; Galante F; Imbriani LL; Mauriello F (2014) Prediction of drivers' speed behavior on rural motorways based on an instrumented vehicle study, Transportation Research Record, 2434, pp.52-62. doi: 10.3141/2434-07
  • Bifulco GN; Pariota L; Brackstione M; Mcdonald M (2013) Driving behaviour models enabling the simulation of Advanced Driving Assistance Systems: Revisiting the Action Point paradigm, Transportation Research Part C: Emerging Technologies, 36, pp.352-366. doi: 10.1016/j.trc.2013.09.009
  • Bifulco GN; Pariota L; Simonelli F; Pace RD (2013) Development and testing of a fully adaptive cruise control system, Transportation Research Part C: Emerging Technologies, 29, pp.156-170. doi: 10.1016/j.trc.2011.07.001
  • Bifulco GN; Pariota L; Simonelli F; Di Pace R (2011) Real-time smoothing of car-following data through sensor-fusion techniques, Procedia - Social and Behavioral Sciences, 20, pp.524-535. doi: 10.1016/j.sbspro.2011.08.059

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