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2026 Journal Article Mode choice shifts to electric micromobility for car and public transport usersWu, Yikang, Yildirimoglu, Mehmet and Zheng, Zuduo (2026). Mode choice shifts to electric micromobility for car and public transport users. Transportation Research Part D: Transport and Environment, 158 105442, 105442-105442. doi: 10.1016/j.trd.2026.105442 |
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2026 Other Outputs An Interactive survey to explore a driver’s decisions in connected and incentivised on-ramp mergingZheng, Zuduo, Yildirimoglu, Mehmet, Mohammadian, Saeed and Samarakoon, Gayasha (2026). An Interactive survey to explore a driver’s decisions in connected and incentivised on-ramp merging. The University of Queensland. (Dataset) doi: 10.48610/429d67e |
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2026 Journal Article Modeling car owners’ stated preferences for electric micro-mobility ownership: evidence from a mixed logit approachWu, Yikang, Yildirimoglu, Mehmet and Zheng, Zuduo (2026). Modeling car owners’ stated preferences for electric micro-mobility ownership: evidence from a mixed logit approach. Transport Policy, 181 104063, 104063. doi: 10.1016/j.tranpol.2026.104063 |
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2026 Journal Article Extending car-following models to multi-lane traffic through Anticipation-Aware dynamic graph networksWang, Chengming, Zheng, Zuduo, Ngoduy, Dong, Gong, Siyuan and Jia, Dongyao (2026). Extending car-following models to multi-lane traffic through Anticipation-Aware dynamic graph networks. Transportation Research Part C: Emerging Technologies, 187 105652. doi: 10.1016/j.trc.2026.105652 |
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2026 Journal Article Integrating extreme value theory and the task-capability interface model to estimate crash risk with driver-specific heterogeneity in connected environmentParashar, Shubham, Zheng, Zuduo, Rakotonirainy, Andry and Haque, Shimul Md Mazharul (2026). Integrating extreme value theory and the task-capability interface model to estimate crash risk with driver-specific heterogeneity in connected environment. Analytic Methods in Accident Research, 51 100438, 100438-100438. doi: 10.1016/j.amar.2026.100438 |
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2026 Journal Article Estimating the safety impact of mandatory ABS legislation for motorised two-wheelers in India using interrupted time seriesJha, Abhaya, Rao, K. Ramachandra and Zheng, Zuduo (2026). Estimating the safety impact of mandatory ABS legislation for motorised two-wheelers in India using interrupted time series. IATSS Research, 50 (1), 613-623. doi: 10.1016/j.iatssr.2025.12.001 |
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2026 Journal Article A physics-informed uncertainty quantification framework for deep learning-based real-time lane-change intention predictionCao, Zhuo, Zheng, Zuduo, Yildirimoglu, Mehmet and Haque, Shimul Md. Mazharul (2026). A physics-informed uncertainty quantification framework for deep learning-based real-time lane-change intention prediction. Transportation Research Part C-Emerging Technologies, 187 105637. doi: 10.1016/j.trc.2026.105637 |
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2026 Other Outputs M2SimVR: multi-modal mobility simulation with VR, e-scooter, driving simulator, SUMO, and Unity integrationYang, Zhiwei, Mohammadian, Saeed and Zheng, Zuduo (2026). M2SimVR: multi-modal mobility simulation with VR, e-scooter, driving simulator, SUMO, and Unity integration. School of Civil Engineering, The University of Queensland, Brisbane. |
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2026 Journal Article A study on the role of weather, time pressure, and individual factors in pedestrian attention allocation patterns: Evidence from virtual reality eye-tracking experimentsMazloum, Sajjad, Khademi, Navid and Zheng, Zuduo (2026). A study on the role of weather, time pressure, and individual factors in pedestrian attention allocation patterns: Evidence from virtual reality eye-tracking experiments. Transportation Research Part F: Traffic Psychology and Behaviour, 116 103436, 1-33. doi: 10.1016/j.trf.2025.103436 |
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2025 Journal Article Reassessing desired time headway as a measure of car-following capability: definition, quantification, and associated factorsParashar, Shubham, Zheng, Zuduo, Rakotonirainy, Andry and Haque, Md Mazharul (2025). Reassessing desired time headway as a measure of car-following capability: definition, quantification, and associated factors. Communications in Transportation Research, 5 100169, 1-11. doi: 10.1016/j.commtr.2025.100169 |
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2025 Conference Publication Spatial Modeling of Copper Cable Theft in Intelligent Transport SystemsZhao, Hongbo and Zheng, Zuduo (2025). Spatial Modeling of Copper Cable Theft in Intelligent Transport Systems. IEEE. doi: 10.1109/itsc60802.2025.11423630 |
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2025 Journal Article Central-upwind scheme for the phase-transition traffic flow modelChu, Shaoshuai, Kurganov, Alexander, Mohammadian, Saeed and Zheng, Zuduo (2025). Central-upwind scheme for the phase-transition traffic flow model. Journal of Computational Physics, 539 114241, 114241. doi: 10.1016/j.jcp.2025.114241 |
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2025 Journal Article An integrated method based on wavelet modulus maxima and local Holder exponents for automatic phase detection and labelling of lane-changing executionCao, Zhuo, Zheng, Zuduo, Yildirimoglu, Mehmet and (Md. Mazharul) Haque, Shimul (2025). An integrated method based on wavelet modulus maxima and local Holder exponents for automatic phase detection and labelling of lane-changing execution. Transportation Research Part C: Emerging Technologies, 179 105285, 1-35. doi: 10.1016/j.trc.2025.105285 |
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2025 Journal Article Segment-then-refine: a general calibration framework incorporating intra-driver heterogeneity into Car-Following ModelsWang, Chengming, Jia, Dongyao, Zheng, Zuduo, Ngoduy, Dong, Wang, Wei and Wang, Shangbo (2025). Segment-then-refine: a general calibration framework incorporating intra-driver heterogeneity into Car-Following Models. Transportation Research Part C: Emerging Technologies, 176 105144. doi: 10.1016/j.trc.2025.105144 |
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2025 Journal Article Integrating road network operations planning into real-time traffic management: A conceptual frameworkKeblawi, Mahmud, Maripini, Himabindu, Kim, Jiwon, Hickman, Mark, Zheng, Zuduo and Yildirimoglu, Mehmet (2025). Integrating road network operations planning into real-time traffic management: A conceptual framework. Transportation Research Interdisciplinary Perspectives, 32 101525, 1-23. doi: 10.1016/j.trip.2025.101525 |
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2025 Journal Article Eco-cooperative adaptive cruise control for platoons in mixed traffic using single-agent and multi-agent reinforcement learningYang, Zhiwei, Zheng, Zuduo, Kim, Jiwon and Rakha, Hesham (2025). Eco-cooperative adaptive cruise control for platoons in mixed traffic using single-agent and multi-agent reinforcement learning. Transportation Research Part D: Transport and Environment, 142 104658, 1-26. doi: 10.1016/j.trd.2025.104658 |
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2025 Journal Article Developing Merging Policies for CAVs: A Policy Training Framework Combining Human Experience with Reinforcement LearningMa, Yingyue, Li, Ye, Zheng, Zuduo and Huang, Helai (2025). Developing Merging Policies for CAVs: A Policy Training Framework Combining Human Experience with Reinforcement Learning. IEEE Transactions on Intelligent Vehicles, 10 (5), 2977-2986. doi: 10.1109/tiv.2024.3445334 |
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2025 Journal Article Empirical research on car-following and lane-changing: Recent developments, emerging vehicle technologies’ impact, and future research needsAli, Yasir, Sharma, Anshuman and Zheng, Zuduo (2025). Empirical research on car-following and lane-changing: Recent developments, emerging vehicle technologies’ impact, and future research needs. Transportation Research Interdisciplinary Perspectives, 31 101368, 1-20. doi: 10.1016/j.trip.2025.101368 |
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2025 Journal Article Numerical study of the non-conservative NET-RAT traffic flow model by path-conservative central-upwind schemesMohammadian, Saeed, Zheng, Zuduo, Chu, Shaoshuai and Kurganov, Alexander (2025). Numerical study of the non-conservative NET-RAT traffic flow model by path-conservative central-upwind schemes. Computers & Mathematics with Applications, 179, 212-228. doi: 10.1016/j.camwa.2024.12.014 |
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2025 Journal Article Developing and validating an adaptive multi-layer vehicle trajectory reconstruction method for outlier removalLi, Ruijie, Zheng, Zuduo, Ngoduy, Dong and Li, Linbo (2025). Developing and validating an adaptive multi-layer vehicle trajectory reconstruction method for outlier removal. Transportation Research Part C: Emerging Technologies, 171 104946, 1-33. doi: 10.1016/j.trc.2024.104946 |
