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2025 Journal Article Zone substations' readiness to embrace electric vehicle adoption: Brisbane case studyFuentes, Abel Quintero, Hickman, Mark and Whitehead, Jake (2025). Zone substations' readiness to embrace electric vehicle adoption: Brisbane case study. Energy, 322 135519, 135519. doi: 10.1016/j.energy.2025.135519 |
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2023 Conference Publication Why is teamwork so hard to teach well at university?Coulter, Beverly, Birkett, Greg, Boden, Marie, Chen, Shaun, Fialho Leandro Alves Teixeira, Fred, Fleming, Melanie, Hickman, Mark and Hope Borchardt, Lilly (2023). Why is teamwork so hard to teach well at university?. 34th Australasian Association For Engineering Education Conference, Gold Coast, QLD Australia, 3-6 December 2023. |
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2023 Journal Article MSGNN: A Multi-structured Graph Neural Network model for real-time incident prediction in large traffic networksTran, Thanh, He, Dan, Kim, Jiwon and Hickman, Mark (2023). MSGNN: A Multi-structured Graph Neural Network model for real-time incident prediction in large traffic networks. Transportation Research Part C: Emerging Technologies, 156 104354. doi: 10.1016/j.trc.2023.104354 |
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2023 Journal Article Estimation of macroscopic fundamental diagram solely from probe vehicle trajectories with an unknown penetration rateSaffari, Elham, Yildirimoglu, Mehmet and Hickman, Mark (2023). Estimation of macroscopic fundamental diagram solely from probe vehicle trajectories with an unknown penetration rate. IEEE Transactions on Intelligent Transportation Systems, 24 (12), 14970-14981. doi: 10.1109/tits.2023.3303439 |
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2023 Conference Publication MSGNN: a multi-structured graph neural network model for real-time incident prediction in large traffic networksTran, Thanh, He, Dan, Kim, Jiwon and Hickman, Mark (2023). MSGNN: a multi-structured graph neural network model for real-time incident prediction in large traffic networks. Transportation Research Board Annual Meeting, Washington, DC, United States, 8-12 January 2023. |
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2023 Other Outputs Opportunities to Decarbonise Queensland’s Road Freight Task: developing a strategic roadmap to a smooth transition to low and zero emission technologiesAdhikari Smith, Dia and Hickman, Mark (2023). Opportunities to Decarbonise Queensland’s Road Freight Task: developing a strategic roadmap to a smooth transition to low and zero emission technologies. Transport Academic Partnership (TAP) Project: Opportunities to decarbonise Queensland’s road freight task Brisbane, QLD Australia: The University of Queensland. |
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2022 Conference Publication Data in mobility as a service: a real-world trial in Queensland, AustraliaRahbar, Maisie, Lim, Kai Li, Whitehead, Jake and Hickman, Mark (2022). Data in mobility as a service: a real-world trial in Queensland, Australia. Australasian Transport Research Forum 2022 Proceedings, Adelaide, SA Australia, 28-30 September 2022. Canberra, ACT Australia: Australasian Transport Research Forum. |
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2022 Conference Publication Online traffic incident prediction with hybrid graph-based neural network and continual learningTran, Thanh, He, Dan, Kim, Jiwon and Hickman, Mark (2022). Online traffic incident prediction with hybrid graph-based neural network and continual learning. Australasian Transport Research Forum, Adelaide, SA Australia, 28-30 September 2022. |
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2022 Other Outputs National LZEV Routes and Charging PrecinctsKai Li Lim, Sohrab Nizami and Mark Hickman (2022). National LZEV Routes and Charging Precincts. Brisbane, QLD Australia: The University of Queensland. |
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2022 Journal Article Data fusion for estimating Macroscopic Fundamental Diagram in large-scale urban networksSaffari, Elham, Yildirimoglu, Mehmet and Hickman, Mark (2022). Data fusion for estimating Macroscopic Fundamental Diagram in large-scale urban networks. Transportation Research Part C: Emerging Technologies, 137 103555, 103555. doi: 10.1016/j.trc.2022.103555 |
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2022 Other Outputs Planning a Transition to Low and Zero Emission Construction MachineryAdhikari Smith, Dia, Whitehead, Jake and Hickman, Mark (2022). Planning a Transition to Low and Zero Emission Construction Machinery. Brisbane, QLD Australia: The University of Queensland. doi: 10.14264/93110de |
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2021 Other Outputs A feasibility assessment of transitioning to low or zero emission truck technologies in QueenslandAdhikari Smith, Dia, Whitehead, Jake and Hickman, Mark (2021). A feasibility assessment of transitioning to low or zero emission truck technologies in Queensland. Transport Academic Partnership (TAP) Project: Opportunities to decarbonise Queensland’s road freight task Brisbane, QLD, Australia: The University of Queensland. |
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2021 Journal Article Relationship between programmed heavy vehicle inspections and traffic safetyAssemi, Behrang, Hickman, Mark and Paz, Alexander (2021). Relationship between programmed heavy vehicle inspections and traffic safety. Transportation Research Record, 2675 (10) 03611981211016458, 1420-1430. doi: 10.1177/03611981211016458 |
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2021 Conference Publication Data-driven traffic incident prediction with hybrid graph-based neural networkTran, Thanh, He, Dan, Kim, Jiwon and Hickman, Mark (2021). Data-driven traffic incident prediction with hybrid graph-based neural network. Australasian Transport Research Forum, Brisbane, QLD, Australia, 8-10 December 2021. |
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2021 Journal Article Advanced systems in public transport, with a touch of dataTrépanier, Martin and Hickman, Mark (2021). Advanced systems in public transport, with a touch of data. Public Transport, 13 (3), 455-456. doi: 10.1007/s12469-021-00288-8 |
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2020 Journal Article A methodology for identifying critical links and estimating macroscopic fundamental diagram in large-scale urban networksSaffari, Elham, Yildirimoglu, Mehmet and Hickman, Mark (2020). A methodology for identifying critical links and estimating macroscopic fundamental diagram in large-scale urban networks. Transportation Research Part C: Emerging Technologies, 119 102743, 102743. doi: 10.1016/j.trc.2020.102743 |
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2020 Conference Publication Enhancing GPS-Assisted Travel Data Collection through SmartphonesAssemi, Behrang, Safi, Hamid, Paz, Alexander, Mesbah, Mahmoud, Ferreira, Luis and Hickman, Mark (2020). Enhancing GPS-Assisted Travel Data Collection through Smartphones. 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC), Rhodes, Greece, 20-23 September 2020. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers Inc.. doi: 10.1109/ITSC45102.2020.9294423 |
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2020 Journal Article Modeling Mode Choice of Air Passengers’ Ground Access to Brisbane AirportPasha, Md Mosabbir, Hickman, Mark D. and Prato, Carlo G. (2020). Modeling Mode Choice of Air Passengers’ Ground Access to Brisbane Airport. Transportation Research Record, 2674 (11), 756-767. doi: 10.1177/0361198120949534 |
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2020 Journal Article Network design with elastic demand and dynamic passenger assignment to assess the performance of transit servicesRanjbari, Andisheh, Hickman, Mark and Chiu, Yi-Chang (2020). Network design with elastic demand and dynamic passenger assignment to assess the performance of transit services. Journal of Transportation Engineering, Part A: Systems, 146 (5) 04020030, 04020030. doi: 10.1061/jtepbs.0000326 |
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2020 Journal Article Improving alighting stop inference accuracy in the trip chaining method using neural networksAssemi, Behrang, Alsger, Azalden, Moghaddam, Mahboobeh, Hickman, Mark and Mesbah, Mahmoud (2020). Improving alighting stop inference accuracy in the trip chaining method using neural networks. Public Transport, 12 (1), 89-121. doi: 10.1007/s12469-019-00218-9 |
