Intelligent Transportation

  • Liu D., Baldi S., Yu W.(*), and Chen G., “On distributed implementation of switch-based adaptive dynamic programming”, IEEE Transactions on Cybernetics, Vol. 52(7), pp. 7218-7224, 2022. doi:10.1109/TCYB.2020.3029825
  • Liu D., Baldi S., Yu W.(*), Cao J., and Huang W., “On training traffic predictors via broad learning structures: a benchmark study”, IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. 52(2), pp. 749-758, 2022. doi:10.1109/TSMC.2020.3006124
  • Liu D., Yu W.(*), Baldi S., Cao J., and Huang W., “A switching-based adaptive dynamic programming method to optimal traffic signalling”, IEEE Transactions on Systems, Man and Cybernetics: Systems, Vol. 50(11), pp. 4160-4170, 2020. doi:10.1109/TSMC.2019.2930138
  • Su Z.(*), Jamshidi A., Núñez A., Baldi S., and De Schutter B., “Integrated condition-based track maintenance planning and crew scheduling of railway networks”. Transportation Research Part C: Emerging Technologies, Vol. 105, pp. 359-384, 2019. doi:10.1016/j.trc.2019.05.045
  • Su. Z.(*), Jamshidi A., Núñez A., Baldi S., and De Schutter B., “Multi-level condition-based maintenance planning for railway infrastructures – a scenario-based chance-constrained approach”. Transportation Research Part C: Emerging Technologies, Vol. 84, pp. 92-123, 2017. doi:10.1016/j.trc.2017.08.018
  • Baldi S.(*), Michailidis I.(*), Ntampasi V.(*), Kosmatopoulos E. B.(*), Papamichail I.(*), and Papageorgiou M.(*), “A simulation-based traffic signal control for congested urban traffic networks”. Transportation Science, Vol. 53(1), pp. 6-20, 2019. Special Issue: Recent Advances in Urban Transportation Through Optimization and Analytics. doi:10.1287/trsc.2017.0754