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IEEE- Forum ISTS2020
IEEE- Forum ISTS2020
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Ms. Maren Schnieder
PhD Student
Loughborough University
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Ms. Maren Schnieder
Overview
Company/Organization
Loughborough University
Role
PhD Student
I'm interested in
Human Factors, Travel Behavior
Data-driven and learning transportation
Transporation electrification
Traffic modelling and control
Sustainability modelling
Shared mobility
Modeling, control and Simulation
Freight
Connected and automated vehicles
Short Bio
I am a PhD student at Loughborough University and I am part of the Centre for Doctoral Training in Embedded Intelligence. Ford Motor Company is the industry sponsor of my PhD. My PhD focusses on the simulation of last mile delivery and on the development of a next generation eBike.
Prior to moving to the UK, I completed a five-year Diplom (combining Bachelor and Master into one degree) in Traffic Engineering at TU Dresden (Germany), including studying and working one year abroad to gain international research experience at the University of British Columbia, the University of Calgary, Loughborough University, and the University of Queensland.
My Submissions
1.
Comparison Of Time-Area Requirements Of Parcel Lockers Vs. Home Delivery: A Cyber-Physical System Of Last Mile Delivery
Sessions Attending
1. LIVE KEYNOTE PRESENTATION - Kara Kockelman
2. LIVE KEYNOTE PRESENTATION - Markos Papageorgiou
3. LIVE KEYNOTE PRESENTATION - Yafeng Yin
4. Workshop - “Open Science In Intelligent Transportation System Research”
5. S1-1.1 - Shared Mobility (I)
6. S2-1.3 - Connected And Probe Vehicles (Connected And Automated Vehicles)
7. S1-3.3 - Big Data And Machine Learning In Transportation - (Data-driven And Learning Transportation)
8. S1-2.1- Shared Mobility (II) - Mobility-On-Demand
9. S2-1.2 - Modeling, Control And Simulation (Traffic Modelling And Control)
10. S3-3.1 - Electric Vehicle Transportation Systems (Transporation Electrification)
11. S1-2.3 - Electric Vehicle Transportation Systems (Human Factors, Travel Behavior)
12. S1-1.2 - Modeling, Control And Simulation - (Traffic Modelling And Control)
13. S2-2.1 - Shared Mobility (II)
14. S2-3.1- Shared Mobility (III)
15. S2-3.2 - Human Factors, Travel Behavior
16. S1-2.2 - Transportation Networks
17. S3-2.1 - Smart Mobility
18. S1-4.3 Transportation Electrification
19. S1-4.2 - Deep Learning In Transportation (Data-driven And Learning Transportation)
20. E-SOCIAL GATHERING PubQuiz (live)
21. S1-3.1 - Shared Mobility (III)
22. S1-4.1 - Shared Mobility (IV)
23. S3-1.1 - Data-driven And Learning In Transportation
24. S1-1.3 - Human Factors, Travel Behavior
25. Workshop - Platform-based Transportation: Addressing The Challenges Of Sustainability And Uncertainty
26. Workshop - Public Transport Of The FutureWorkshop - Public Transport Of The Future
27. S1-3.4 - Efficient Freight Transportation - Freight
28. S2-3.4 - Freight Data
29. S2-1.1 - Shared Mobility (I)
30. S2-2.2 -Transportation Electrification
31. S1-5.1 - Connected And Automated Vehicles
32. WORKSHOP: Electrification Of Public Transport: An Integrated Energy System Approach
33. S3-1.3 - Freight Modeling And Simulation (Freight)
34. S2-4.3 - Intelligent Logistics (Freight)
35. S2-4.1 Modelling, Control And Simulation
36. S2-5.1 - Shared Mobility(IV)
37. CLOSING CEREMONY
38. LUNCHTIME LIVE DEMO: INTERACTION OF AN INTELLIGENT VEHICLE WITH VULNERABLE ROAD USERS
39. Coffee Break & Social Activities
40. Coffee Break
Speaking Engagement
1. S2-2.3 - Traffic Modelling And Control
-
04 Nov, 2020
Topics
No Topics
Co-Authors
Mr. Andrew A. West
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