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Programs & Papers

Credit: John Davies.

Programs

2025
2024
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Victorian
Credit: Victorian Department of Transport, Tim Bryant
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Total Papers: 16
2025 - Aware of the sunshine? Investigating the alignment of Electric Vehicle charging and solar photovoltaic generation in Australian households
Authors
Jinjing Ye, Edwina Wang, Xueying Lin, Yang Peng, Gregor Verbic and Emily Molyan
Keywords
Charging behaviour, Clustering, electric vehicle charging, Electric vehicles (EV), machine learning, Photovoltaics (PVs)
File
ATRF2025_58.pdf
2024 - Shared micro-mobility route choice analysis
Authors
Piek Yin Tan and Susilawati Susilawati
Keywords
machine learning, Micro-mobility, route choice, XGBoost
File
ATRF2024_Abridged_126-3.pdf
Major Subject:
Travel demand modelling
2024 - Train carriage passenger count estimation from ticketing data using a hybrid framework combining heuristics and machine learning models: Proof of Concept
Authors
Saeed Mohammadian, Zuduo Zheng and Tristan Miles
Keywords
Heuristics, machine learning, Ticketing data, Train passenger estimation
File
ATRF2024_Abridged_57-1.pdf
Major Subject:
Travel demand modelling
2024 - Transport multi-mode choice prediction using a hybrid multi-output regression modelling
Authors
Tuo Mao, Adriana-Simona Mihaita and Yuming Ou
Keywords
machine learning, Multi-modal behavioural choice, Multi-output regression, Regressor chain regression, Transport Mode choice
File
ATRF2024_Resubmission_48-4.pdf
Major Subject:
Public transport
2024 - Exploring cyclists’ perceptions of safety and comfort: A machine learning approach to enhancing urban cycling environments
Authors
Lurong Xu, Shuli Luo, Alexa Delbosc and Steve O' Hern
Keywords
Cycling behavior, Cycling environment, machine learning, Spatial heterogeneity, Street view image (SVI), Subjective measures
File
ATRF2024_Abridged_38-1.pdf
Major Subject:
Active travel
2024 - Integrating machine learning and econometric models for estimating crash frequency by severity using traffic conflicts
Authors
Fizza Hussain and Shimul Md Mazharul Haque
Keywords
Injury Severity, Machine Learning Models, Real-time Crash Risk, Traffic Conflict Technique, video analytics
File
ATRF2024_Resubmission_37.pdf
Major Subject:
Traffic safety
2023 - Predicting crash injury risk using Big Data: The case of metropolitan Melbourne
Authors
Ali Soltani, Betsabeh Tanoori and Christopher Pettit
Keywords
Big data, Injury risk, machine learning, Melbourne, Road Crashes
File
ATRF_2023_Paper_112.pdf
Major Subject:
Traffic modelling
2023 - Evaluating the pedestrian level of service of sidewalks using a machine learning model
Authors
Deborah Paul and Sara Moridpour
Keywords
Comfort, Level of Service, pedestrian, post Covid, Sidewalks
File
ATRF_2023_Paper_79.pdf
Major Subject:
Sustainable transport
2023 - Exploring the effectiveness of ensemble models in predicting driver route selection
Authors
Haotian Wang, Emily Moylan and David Levinson
Keywords
Ensemble Learning, Ensemble Model, machine learning, route choice
File
ATRF_2023_Paper_77.pdf
Major Subject:
Traffic modelling
2023 - Impact of off-peak fares on train patronage: A case study from DoT Victoria, pre and post COVID-19
Authors
Yohanes Puraditya, Adriana-Simona Mihaita, Yuming Ou, Tuo Mao and Bo Du
Keywords
Demand modelling, disruption impact, machine learning, train patronage
File
ATRF_2023_Paper_64.pdf
Major Subject:
Public transport
2023 - Warm-starting the rolling horizon-based traffic volume prediction using neural networks
Authors
Zay Maung Maung Aye, Saeed Asadi Bagloee, Majid Sarvi and Mobin Yazdani
Keywords
Practical Machine Learning, traffic prediction, Warn-starting Neural Networks
File
ATRF_2023_Paper_63.pdf
Major Subject:
Traffic modelling
2022 - Ridespace: Predicting short-term rail passenger crowding using Machine Learning
Authors
Richard Rossmann, Saul Gare and Sam Pardy
Keywords
Crowding Machine learning (ML), Public transport, Short-term forecasting
File
ATRF2022_Resubmission_82.pdf
Major Subject:
Public transport
2021 - Data-driven Traffic Incident Prediction with Hybrid Graph-based Neural Network
Authors
Thanh Tran, Dan He, Jiwon Kim and Mark Hickman
Keywords
data fusion, Graph neural networks, machine learning, Real-time incident prediction
File
ATRF2021_Resubmission_58-1.pdf
2021 - Network-wide traffic simulation with multi-agent imitation learning
Authors
Jie Sun and Jiwon Kim
Keywords
Imitation learning, machine learning, Multi-agent imitation learning, Reinforcement learning, Traffic modelling, traffic simulation
File
ATRF2021_Resubmission_61-1.pdf
2019 - Modelling mode choice with machine learning algorithms
Authors
Matthew Richards and Jan Zill
Keywords
Modelling, Travel behaviour
File
ATRF2019_resubmission_52.pdf
Major Subject:
Traffic modelling, forecasting and simulation
2016 - Machine Learning Approach for Adaptive Eco-Speed Control
Authors
Hasitha Gamage and Brian Lee
Keywords
connected and automated vehicles, Emissions, ITS
File
ATRF2016_Full_papers_resubmission_67.docx
Major Subject:
ITS, connected and automated vehicles