Prof Majid Sarvi
Professorial Fellow, Transport Engineering
Department of Infrastructure Engineering
272 Scholarly works
37 Projects
HIGHLIGHTS
2026
Journal article
E-bikes enhance climate resilient urban mobility through heat adaptation as revealed by mediation analysis
DOI: 10.1038/s43247-026-03248-x2026
Journal article
Regulating jaywalking behaviour in adaptive traffic signal control using a novel deep reinforcement learning approach
DOI: 10.1016/j.multra.2025.1002712026
Journal article
A lightweight hybrid machine and deep learning framework via contrastive learning for audio-based multiclass vehicle counting
DOI: 10.1016/j.trc.2026.1056312026
Journal article
On the applicability of time series anomaly detection methods to real-world traffic volume data
DOI: 10.1016/j.trc.2026.1055362024
Research contracts (non-grants)
C-Its National Harmonisation and Predeployment Research
2023
Research Contracts
Integrated Connected Data for Safer More Efficient Traffic Management Operations
2017
Research Contracts
Implementation of a Multimodal Situation Awareness and Operations Regime Evaluation Platform
RECENT SCHOLARLY WORKS
2026
Journal article
Mobile sensing discovery of when where and why vulnerable road users break traffic rules
DOI: 10.1038/s44333-025-00068-y2026
Journal article
A secure framework for containerized IoT applications in integrated edge–cloud computing environments
DOI: 10.1016/j.future.2025.1080102026
Journal article
Multi‐Objective Multi‐Step Adaptive Traffic Control (MOMSATC): Prioritising Pedestrians for a Safe and Sustainable Transport Development
DOI: 10.1049/itr2.701502026
Journal article
Generalising Traffic Forecasting to Regions Without Traffic Observations
DOI: 10.1609/aaai.v40i18.386072026
Journal article
CentralityPool: Centrality-Aware Hierarchical Graph Pooling
DOI: 10.1109/TNSE.2025.35831192025
Conference Proceedings
DeepMDV: Global Spatial Matching for Multi-depot Vehicle Routing Problems
DOI: 10.1145/3748636.3762711
RECENT PROJECTS
2025
Research contracts (non-grants)
Yarra Trams AIMES Membership
2025
Research grants (other domestic)
Understanding Motorcyclist Attention and Stress Through Naturalistic Riding Data Proof of Concept