mlTraffic 1.0

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mlTraffic is the first simulation software based on this new theory. It was conceived and validated at the Transportation Engineering Department at UC Berkeley, thanks to research projects by Prof. Carlos Daganzo and Michael Cassidy.  

This version allows the simulation of:

• discretional lane-changing
• lane-drops
• trucks on freeways
• gridlocks

Outputs are time-space density maps  that show the density on each lane: time-space density maps allow to obtain ANY performance measure (delays, queue length, speed...)

This software is being developed by Jorge Laval, a recent UC Berkeley PhD graduate and currently a postdoc at the Institute of Transportation Studies at UC Berkeley. Visit his personal website to see his resume, other research interests and publications.