Rapid Traffic Modeling with AI and Big Data Methods: Network Performance and Carbon Sensitivity
29 August 2024
With the continued growth of data and machine-learning techniques, the development of large-scale traffic models can be accomplished in a fraction of time. Model appropriateness is even more critical for scenarios involving carbon emission and system resilience. The presentation discussed an approach to the rapid development of traffic models, including ADB case studies of emerging techniques and recent research on the carbon sensitivity of different road network flows
Program and Learning Materials:
| Date | Session / Activity | Presentation Material | Speaker(s) |
|---|---|---|---|
| 29 Aug 2024 | Presentation |
Rapid Traffic Modelling with AI and Big Data Methods: Network Performance and Carbon Sensitivity The presentation discussed an approach to the rapid development of traffic models, including ADB case studies of emerging techniques and recent research... |
S. Travis Waller |