Victor Blue's
Research Activities and Publications

Simulation of Pedestrian Flows

  • (pdf ) Blue, V.J. and Adler, J.L Cellular Automata Model Of Emergent Collective Bi-Directional Pedestrian Dynamics, Accepted by Artificial Life VII, The Seventh International Conference on the Simulation and Synthesis of Living Systems, Reed College, Portland Oregon, 1-6 August 2000
  • (pdf) Blue, V.J. and Adler, J.L.  Modeling Four-Directional Pedestrian Movements.  Presented at the 79th Annual meeting of the Transportation Research Board, January 2000, and accepted for publication by Transportation Research Record, Journal of the Transportation Research Board.
  • (pdf) Blue, V.J. and Adler, J.L., Using Cellular Automata Microsimulation to Model Pedestrian Walkways.  Forthcoming in Transportation Research Part B.
  • (pdf) Blue, V.J. and Adler, J.L., (2000) Cellular Automata Microsimulation of Bi-Directional Pedestrian Flows.  Transportation Research Record, Journal of the Transportation Research Board 1678 pp. 135-141.
  • (pdf) Blue, V.J. and Adler, J.L., (1999) Using Cellular Automata Microsimulation to Model Pedestrian Movements. Proceedings of the 14th International Symposium on Transportation and Traffic Theory, A. Ceder ed. Elsevier Science Ltd. July 1999, 235-254.
  • (pdf) Blue, V.J. and Adler, J. L., (1998). Emergent Fundamental Pedestrian Flows From Cellular Automata Microsimulation, Transportation Research Record 1644, 29-36.
  • ITS, Driver Behavior, and Intelligent Traveler Information Systems (ITIS)

    Over the past 5 years, beginning with my doctoral work (1996), I have researched how traveler information systems influence drivers’ pre-trip and en-route decisions.  Much of my work has focused on the development and use of  a  microcomputer-based travel choice simulator that I developed using the ARENA software.  I conducted numerous simulation experiments to assess the effects of  in-vehicle traveler information technologies on drivers’ behavioral choice.  My research investigates how drivers might use in-vehicle knowledge of a network and assesses the effects of driver information systems on path choice behavior.  Research papers on this subject include:
  • Blue, V.J. (2000) Vision of TMC use of Dynamic Traffic Assignment, Proceedings of ITS America Tenth Annual Meeting 2000, Boston.
  • (pdf) Adler, J.L., Blue, V.J. and Wu, T., Assessing Network and Driver Benefits from Bi-Objective In-vehicle Route Guidance. Under Review - Transportation Research Part C.
  • Blue V.J., Adler, J.L., and List, G.F. (1997) Real-Time Multiple Objective Path Search for In-Vehicle Route Guidance Systems, Transportation Research Record 1588, 10-17.
  • Blue V.J., List, G.F., and Adler, J.L. (1997) Assessing ATMS/ATIS Performance Using Stochastic DTA Modeling or TMC Field Data, Proceedings of ITS America Seventh Annual Meeting 1997, Washington, D.C.
  • Though many traveler information systems are innovative and make use of cutting edge technologies, they lack real machine intelligence and therefore may be limited in their ability to service the traveling public over the long run.  Dr. Jeff Adler and I have been working to develop an Intelligent Traveler Information System (ITIS) that can more effectively respond to drivers’ within day path selection needs and can adapt to changes in drivers’ cognition, spatial knowledge, travel preferences and attitudes over time.  Work has included the development of an adaptive fuzzy logic model of driver choice behavior and the exploration of intelligent agent-based systems.
    Victor Blue (May 27, 2000).