Bin Ran

Professor

1212 Engineering Hall
1415 Engineering Drive
Madison, WI 53706

Ph: (608) 262-0052
Fax: (608) 262-5199
bran@engr.wisc.edu


Profile Summary

Dr. Ran is an expert in dynamic transportation network models, traffic simulation and control, traffic information system, and Internet of Mobility (Connected Vehicles). He has led the development and deployment of various traffic information systems and technologies in the US and China. He has trained younger generations of professors and experts in traffic engineering and Intelligent Transportation Systems (ITS) in the US, China, Korea, and other countries.

Dr. Ran is the author of two leading textbooks on dynamic traffic networks. He has co-authored more than 100 journal papers and more than 200 referenced papers at national and international conferences. He holds 3 US patents and3 Chinese patents, and has a few patents pending in the US and China.

Dr. Ran’s research has focused on five major areas: 1) Intelligent Transportation System (ITS) technology development and system evaluation; 2) dynamic transportation network and traffic modeling; 3) development of cellular probe technologies for traffic state estimation and passenger flow estimation; 4) Connected Vehicle & Internet of Mobility, vehicle-highway automation, intelligent vehicles, and Telematics; and 5) big data applications for multi-modal transportation databases.

 

Education

  • BS, Tsinghua University, China, 1986
  • MS, University of Tokyo, Japan, 1989
  • PhD, University of Illinois, Chicago, 1993

Research Interests

  • Intelligent Transportation Systems
    • Intelligent Highway
    • Real-Time Performance Measure & Evaluation
  • Dynamic Transportation Network & Flow Models
    • Dynamic Traffic Prediction
    • Traffic Simulation and Control
    • 3rd/4th Generations of Traffic Models & Theories
  • Cellular Probe Technologies and Modeling
    • 3G/4G Cellular Probe Modeling 
    • Traffic State Estimation and Passenger Flow Estimation
  • Connected Vehicle & Internet of Mobility
    • Telematics
    • V2X Based Traffic Modeling
  • Big Data Applications for Multi-Modal Transportation Databases
    • Statewide Real-Time Traffic Databases
  • GIS-T Applications

Publications

  • Ran B., Jin J., Boyce D.E., Qiu Z., and Cheng Y. 2012. Perspectives on Future Transportation Research: Impact of ITS Technologies on Next Generation Transportation Modeling. Journal of Intelligent Transportation Systems. Vol. 16, Issue 3, pp. 226-242.
  • Ran B. and Boyce D.E. Modeling Dynamic Transportation Networks -- An Intelligent Transportation System Oriented Approach. Springer-Verlag, Heidelberg, March 1996.
  • Ran B. and Boyce D.E. Dynamic Urban Transportation Network Models -- Theory and Implications for Intelligent Vehicle-Highway Systems. No.417 Lecture Notes in Economics and Mathematical Systems, Springer-Verlag, Heidelberg, 1994.

Courses

Fall 2015-2016

  • CIVENGR 790 - Master\'s Research or Thesis
  • CIVENGR 890 - Pre-Dissertator\'s Research
  • CIVENGR 990 - Thesis
  • CIVENGR 999 - Advanced Independent Study
  • CIVENGR 999 - Advanced Independent Study
  • CIVENGR 990 - Thesis
  • CIVENGR 890 - Pre-Dissertator\'s Research
  • CIVENGR 790 - Master\'s Research or Thesis
  • CIVENGR 699 - Independent Study
  • Profile Summary

    Dr. Ran is an expert in dynamic transportation network models, traffic simulation and control, traffic information system, and Internet of Mobility (Connected Vehicles). He has led the development and deployment of various traffic information systems and technologies in the US and China. He has trained younger generations of professors and experts in traffic engineering and Intelligent Transportation Systems (ITS) in the US, China, Korea, and other countries.

    Dr. Ran is the author of two leading textbooks on dynamic traffic networks. He has co-authored more than 100 journal papers and more than 200 referenced papers at national and international conferences. He holds 3 US patents and3 Chinese patents, and has a few patents pending in the US and China.

    Dr. Ran’s research has focused on five major areas: 1) Intelligent Transportation System (ITS) technology development and system evaluation; 2) dynamic transportation network and traffic modeling; 3) development of cellular probe technologies for traffic state estimation and passenger flow estimation; 4) Connected Vehicle & Internet of Mobility, vehicle-highway automation, intelligent vehicles, and Telematics; and 5) big data applications for multi-modal transportation databases.

     


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