Slide 1: The Future of Software-in-the-Loop Simulation Training and Research
Tom Urbanik
The University of Tennessee
Slide 2: Traffic Signal Objectives
Achieve policy objectives for people and goods
Maintain safe operations
Slide 3: System Based Priority Control
Drawbridges
Railroad
Emergency vehicles
Pedestrians/Bikes
Transit
Trucks (including snow plows)
SOV
Slide 4: In The Old Days ...
Policy was easy to implement
[There is a picture of traffic control hardware located on a telephone pole.]
Slide 5: Today ...
[There are three pictures. One picture shows people in the field observing a traffic control mechanism. The other pictures are of the hardware of traffic control mechanisms.]
Slide 6: So What?
Need to evaluate existing or new policies
Traditional field studies are impractical and expensive
Traditional simulation models are unrealistic
Optimization software does not address new approaches
Slide 7: So What (II)?
SILS is a tool that offers many opportunities
Training
Evaluation
Fine tuning
Research
Education
Slide 8: What Have We Learned From MOST?
SILS is an effective approach for training
Getting the details right is hard
Getting the details right is important
[Screen shot of an example of Mobile Signal Timing Training displaying a traffic simulation using ASC/3. The screenshot includes two separate side by side windows, and the status screens of the ASC/3 controllers, from two separate simulations.]
Slide 9: What’s Left to be Done?
More labs on "advanced" features
More delivery capability for education and training
[One map of the U.S. indicating the locations of labs, education, and training for traffic control signaling. The red stars indicate the locations.]
Slide 10: The Future
SILS will become more common
It will become the standard for comparison
It will allow even more experimentation
The software will become easier to use
Data requirements will become less
Slide 11: Questions?
Michael Kyte, The University of Idaho, (208) 885-6002, mkyte@idaho.edu
