Series: Green Roads Webinar Series 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 29 August 2024 Session / Activity Title Speaker(s) 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… S. Travis Waller Disclaimer The views expressed on this website are those of the authors and do not necessarily reflect the views and policies of the Asian Development Bank (ADB) or its Board of Governors or the governments they represent. ADB does not guarantee the accuracy of the data included in this publication and accepts no responsibility for any consequence of their use. By making any designation of or reference to a particular territory or geographic area, or by using the term “country” in this document, ADB does not intend to make any judgments as to the legal or other status of any territory or area. Event Coordinator/s Mariel Gabriel ADB Organizer/s Transport Sector Office Topics Energy