Programs & Papers

Programs

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CONDENSEDVIEW

EXPANDEDVIEW

Total Papers: 7

2023 - What influences passenger’s arrival rate at stops in Melbourne: WASEA-LSTM, a novel deep learning model leveraging multi-source data fusion

Authors

Mustafa Rezazada, Neema Nassir and Egemen Tanin

Keywords

Automatic fare collection (AFC), LSTM, Machine and deep learning, Passenger arrival rate, Weather information

File

ATRF_2023_Paper_110.pdf

Major Subject:

Traffic demand/behavour

2023 - Impact of using hybrid data on travel time reliability reporting

Authors

Ronny Kutadinata, Kevin Wu, Kenneth Lewis, Frans Dekker and Merle Wood

Keywords

data analytics, data fusion, hybrid data, network performance, Travel Time Reliability

File

ATRF_2023_Paper_76.pdf

Major Subject:

Traffic demand/behavour

2022 - Investigating public transport fare noninteractions using large-scale automatically collected data

Authors

Tianwei Yin, Neema Nassir, Joseph Leong, Egemen Tanin and Majid Sarvi

Keywords

data fusion, Fare non-interaction, Melbourne tram, Public transport, Regression models, Smartcard data

File

ATRF2022_Resubmission_19.pdf

Major Subject:

Public transport

2021 - Combining multiple traffic data sources to estimate Macroscopic Fundamental Diagram in large-scale 3 urban networks

Authors

Elham Saffari, Mehmet Yildirimoglu and Mark Hickman

Keywords

data fusion, loop detectors, Macroscopic Fundamental Diagram, probe vehicles

File

ATRF2021_Resubmission_36-1.pdf

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 - Predicting Housing Prices with Ensemble Models

Authors

Hao Wu and David Levinson

Keywords

Combining Models, data fusion, Ensemble Forecasting, Ensemble of Ensembles

File

ATRF2021_Resubmission_78-1.pdf

2021 - Recalibrating travel demand models using Census data and household travel survey data from other jurisdictions: A case study of Greater Adelaide

Authors

Ali Ardeshiri and Akshay Vij

Keywords

data fusion, Household travel survey, Travel demand modelling

File

ATRF2021_Resubmission_100-1.pdf