Majid Sarvi
Scholar

Majid Sarvi

Google Scholar ID: XIDNkkMAAAAJ
The University of Melbourne
Applied AIConnected and automated vehiclescrowd dynamics
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Citations & Impact
All-time
Citations
6,101
 
H-index
42
 
i10-index
146
 
Publications
20
 
Co-authors
0
 
Contact
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Publications
3 items
Generalising Traffic Forecasting to Regions without Traffic Observations
2025
Cited
0
A comparative study of deep learning and ensemble learning to extend the horizon of traffic forecasting
2025
Cited
0
DualCast: Disentangling Aperiodic Events from Traffic Series with a Dual-Branch Model
arXiv.org · 2024
Cited
2
Resume
Research Experience
  • Leads the Australian Integrated Multimodal EcoSystem (AIMES) project, a world-first living laboratory based on the streets of Melbourne, established to test highly integrated transport technology with a goal to deliver safer, cleaner, and more sustainable urban transport outcomes.
Background
  • Research interests include connected and automated vehicles and roadways, public transport and multimodal mobility-as-a-service (MaaS) systems, disruptive shared mobility services, city logistics, and computational transport science.
Miscellany
  • The team comprises members from various disciplines focused on using information and communication technologies and artificial intelligence to address complex urban transportation issues.