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IEEE- Forum ISTS2020
IEEE- Forum ISTS2020
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Dr. Anna Schroeder
University of Cambridge
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Overview
Company/Organization
University of Cambridge
I'm interested in
Human Factors, Travel Behavior
Traffic modelling and control
Sustainability modelling
Shared mobility
Short Bio
Anna Schroeder is a postdoctoral research affiliate at the University of Cambridge, UK. She works for the EPSCR Grand Challenge project MAGIC (Managing
Air for Greener Inner Cities) which aims to develop an integrated suite of models that allows city planners to design more sustainable cities. Her research area is modelling vehicle emissions using Computer Vision to extract vehicle behaviour from video footage.
Dr Anna Schroeder completed a PhD in Pure Mathematics at the University of St Andrews, Scotland, and worked as a transport planning consultant for two years before starting her current position.
My Submissions
1.
Using Computer Vision With Instantaneous Vehicle Emissions Modelling
Sessions Attending
1. Opening And Welcome
2. LIVE KEYNOTE PRESENTATION - Kara Kockelman
3. LIVE KEYNOTE PRESENTATION - Markos Papageorgiou
4. LIVE KEYNOTE PRESENTATION - Yafeng Yin
5. S3-1.2 - Air, Road, And Rail Traffic Management ( Mutimodal Transportation Systems)
6. S1-3.3 - Big Data And Machine Learning In Transportation - (Data-driven And Learning Transportation)
7. S1-2.1- Shared Mobility (II) - Mobility-On-Demand
8. S2-1.2 - Modeling, Control And Simulation (Traffic Modelling And Control)
9. S2-3.2 - Human Factors, Travel Behavior
10. S1-1.3 - Human Factors, Travel Behavior
11. Workshop - Public Transport Of The FutureWorkshop - Public Transport Of The Future
12. S3-2.2 - Multimodal Transportation Systems
13. S2-2.2 -Transportation Electrification
14. S3-2.3 - Modeling, Control And Simulation
15. WORKSHOP: Electrification Of Public Transport: An Integrated Energy System Approach
16. S2-2.3 - Traffic Modelling And Control
17. CLOSING CEREMONY
18. LUNCHTIME LIVE DEMO: INTERACTION OF AN INTELLIGENT VEHICLE WITH VULNERABLE ROAD USERS
19. Login
20. Coffee Break
Speaking Engagement
1. S1-4.2 - Deep Learning In Transportation (Data-driven And Learning Transportation)
-
03 Nov, 2020
Topics
No Topics
Co-Authors
Mr. Adam Boies
Mrs. Molly Haugen
Mr. Marc Stettler
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