Data-Driven Traffic Modeling and Route Guidance

MIT Investigator(s): Patrick JAILLET


Team Members:
MIT
  • Chong Yang GOHGraduate StudentMIT
  • Konstantina MELLOUPhD StudentMIT-ORC
  • Arthur FLAJOLETGraduate StudentMIT
  • Sebastien MARTINGraduate StudentMIT
  •   SMART
  • Anh Tien MAISMART ScholarSMART-FM
  • Chunling LUOPostdocSMART-FM
  •   Collaborators
  • Melvyn SIMProfessorNUS
  • Justin DAUWELSAssoc. Prof.NTU
  • Bryan LOWAsst. Prof.NUS
  • Pradeep VARAKANTHAMAsst. Prof.SMU
  • Quoc Phong NGUYENGraduate StudentNUS
  • Usman MUHAMMAD Research AssociateNUS
  • Zhongxiang DAIGraduate StudentNUS
  • Gary GOHGraduate StudentSUTD
  • Meghna LOWALEKARGraduate StudentSMU
  • Rajiv Ranjan KUMARGraduate StudentSMU
  • Chi Thanh LAM Graduate StudentNUS
  • Anatoliy PROKHORCHUKGraduate StudentNTU
  • Haibin YUSMA3 StudentNUS
  • Algorithms that use real-time data from many heterogeneous sources in order to (i) track and predict paths in dynamic transportation networks, and (ii) provide on-demand route guidance under uncertainty, based on a combination of optimization, data-fusion, machine learning, and novel behavioral techniques.