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2023 Journal Article NET-RAT: Non-equilibrium traffic model based on risk allostasis theoryMohammadian, Saeed, Zheng, Zuduo, Haque, Mazharul and Bhaskar, Ashish (2023). NET-RAT: Non-equilibrium traffic model based on risk allostasis theory. Transportation Research Part A: Policy and Practice, 174 103731, 103731. doi: 10.1016/j.tra.2023.103731 |
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2023 Journal Article Calibrating lane-changing models: two data-related issues and a general method to extract appropriate dataAli, Yasir, Zheng, Zuduo and Bliemer, Michiel C.J. (2023). Calibrating lane-changing models: two data-related issues and a general method to extract appropriate data. Transportation Research Part C: Emerging Technologies, 152 104182, 104182. doi: 10.1016/j.trc.2023.104182 |
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2023 Conference Publication Demand estimation for perimeter control in large-scale traffic networksKumarage, Sakitha, Yildirimoglu, Mehmet and Zheng, Zuduo (2023). Demand estimation for perimeter control in large-scale traffic networks. 8th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), Nice, France, 14-16 June 2023. Piscataway, NJ, United States: IEEE. doi: 10.1109/mt-its56129.2023.10241660 |
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2023 Journal Article A Bayesian hierarchical approach to the joint modelling of Revealed and stated choicesLi, Zili, Washington, Simon P., Zheng, Zuduo and Prato, Carlo G. (2023). A Bayesian hierarchical approach to the joint modelling of Revealed and stated choices. Journal of Choice Modelling, 47 100419, 100419. doi: 10.1016/j.jocm.2023.100419 |
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2023 Journal Article Autonomous vehicle’s impact on traffic: empirical evidence from Waymo Open Dataset and implications from modellingHu, Xiangwang, Zheng, Zuduo, Chen, Danjue and Sun, Jian (2023). Autonomous vehicle’s impact on traffic: empirical evidence from Waymo Open Dataset and implications from modelling. IEEE Transactions on Intelligent Transportation Systems, 24 (6), 1-14. doi: 10.1109/tits.2023.3258145 |
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2023 Journal Article Assessing a connected environment's safety impact during mandatory lane-changing: a block maxima approachAli, Yasir, Haque, Md. Mazharul and Zheng, Zuduo (2023). Assessing a connected environment's safety impact during mandatory lane-changing: a block maxima approach. IEEE Transactions on Intelligent Transportation Systems, 24 (6), 6639-6649. doi: 10.1109/tits.2022.3147668 |
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2023 Journal Article Guest Editorial Introduction to the Special Issue on Deployment of Connected and Automated Vehicles in Mixed Traffic Environment and the Implications on Traffic Safety and EfficiencyFarah, Haneen, Olstam, Johan and Zheng, Zuduo (2023). Guest Editorial Introduction to the Special Issue on Deployment of Connected and Automated Vehicles in Mixed Traffic Environment and the Implications on Traffic Safety and Efficiency. IEEE Transactions on Intelligent Transportation Systems, 24 (6), 6432-6435. doi: 10.1109/tits.2023.3276596 |
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2023 Journal Article Fifth-order A-WENO path-conservative central-upwind scheme for behavioral non-equilibrium traffic modelsChu, Shaoshuai, Kurganov, Alexander, Mohammadian, Saeed and Zheng, Zuduo (2023). Fifth-order A-WENO path-conservative central-upwind scheme for behavioral non-equilibrium traffic models. Communications in Computational Physics, 33 (3), 692-732. doi: 10.4208/cicp.OA-2022-0263 |
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2023 Journal Article Stability evolution of car-following models considering asymmetric driving behaviorSun, Jie, Zheng, Zuduo and Sun, Jian (2023). Stability evolution of car-following models considering asymmetric driving behavior. Transportation Research Record: Journal of the Transportation Research Board, 2677 (8), 361-371. doi: 10.1177/03611981231156584 |
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2023 Journal Article Space sharing between pedestrians and micro-mobility vehicles: a systematic reviewZhang, Cheng, Du, Bo, Zheng, Zuduo and Shen, Jun (2023). Space sharing between pedestrians and micro-mobility vehicles: a systematic review. Transportation Research Part D: Transport and Environment, 116 103629, 1-18. doi: 10.1016/j.trd.2023.103629 |
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2023 Journal Article Estimating link flows in road networks with synthetic trajectory data generation: inverse reinforcement learning approachZhong, Miner, Kim, Jiwon and Zheng, Zuduo (2023). Estimating link flows in road networks with synthetic trajectory data generation: inverse reinforcement learning approach. IEEE Open Journal of Intelligent Transportation Systems, 4, 14-29. doi: 10.1109/ojits.2022.3233904 |
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2023 Journal Article A learning-based discretionary lane-change decision-making model with driving style awarenessZhang, Yifan, Xu, Qian, Wang, Jianping, Wu, Kui, Zheng, Zuduo and Lu, Kejie (2023). A learning-based discretionary lane-change decision-making model with driving style awareness. IEEE Transactions on Intelligent Transportation Systems, 24 (1), 68-78. doi: 10.1109/tits.2022.3217673 |
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2022 Journal Article Corrigendum: “State of data platforms for connected vehicles and infrastructures” (Communications in Transportation Research (2021) 1, (100013), (S2772424721000135), (10.1016/j.commtr.2021.100013))Lim, Kai Li, Whitehead, Jake, Jia, Dongyao and Zheng, Zuduo (2022). Corrigendum: “State of data platforms for connected vehicles and infrastructures” (Communications in Transportation Research (2021) 1, (100013), (S2772424721000135), (10.1016/j.commtr.2021.100013)). Communications in Transportation Research, 2 100057, 100057. doi: 10.1016/j.commtr.2022.100057 |
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2022 Journal Article Predicting and explaining lane-changing behaviour using machine learning: a comparative studyAli, Yasir, Hussain, Fizza, Bliemer, Michiel C. J., Zheng, Zuduo and Haque, Md. Mazharul (2022). Predicting and explaining lane-changing behaviour using machine learning: a comparative study. Transportation Research Part C: Emerging Technologies, 145 103931, 1-20. doi: 10.1016/j.trc.2022.103931 |
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2022 Journal Article A generative car-following model conditioned on driving stylesZhang, Yifan, Chen, Xinhong, Wang, Jianping, Zheng, Zuduo and Wu, Kui (2022). A generative car-following model conditioned on driving styles. Transportation Research Part C: Emerging Technologies, 145 103926, 1-21. doi: 10.1016/j.trc.2022.103926 |
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2022 Journal Article A Bayesian correlated grouped random parameters duration model with heterogeneity in the means for understanding braking behaviour in a connected environmentAli, Yasir, Haque, Md. Mazharul, Zheng, Zuduo and Afghari, Amir Pooyan (2022). A Bayesian correlated grouped random parameters duration model with heterogeneity in the means for understanding braking behaviour in a connected environment. Analytic Methods in Accident Research, 35 100221, 100221. doi: 10.1016/j.amar.2022.100221 |
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2022 Journal Article An extreme value theory approach to estimate crash risk during mandatory lane-changing in a connected environmentAli, Yasir, Haque, Md Mazharul and Zheng, Zuduo (2022). An extreme value theory approach to estimate crash risk during mandatory lane-changing in a connected environment. Analytic Methods in Accident Research, 33 100193, 100193. doi: 10.1016/j.amar.2021.100193 |
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2022 Journal Article Examining braking behaviour during failed lane-changing attempts in a simulated connected environment with driving aidsAli, Yasir, Bliemer, Michiel C.J., Haque, Md. Mazharul and Zheng, Zuduo (2022). Examining braking behaviour during failed lane-changing attempts in a simulated connected environment with driving aids. Transportation Research Part C: Emerging Technologies, 136 103531, 103531. doi: 10.1016/j.trc.2021.103531 |
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2022 Journal Article Processing, assessing, and enhancing the Waymo autonomous vehicle open dataset for driving behavior researchHu, Xiangwang, Zheng, Zuduo, Chen, Danjue, Zhang, Xi and Sun, Jian (2022). Processing, assessing, and enhancing the Waymo autonomous vehicle open dataset for driving behavior research. Transportation Research Part C: Emerging Technologies, 134 103490, 103490. doi: 10.1016/j.trc.2021.103490 |
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2021 Journal Article A car-following model for connected and automated vehicles with heterogeneous time delays under fixed and switching communication topologiesLi, Yongfu, Chen, Bangjie, Zhao, Hang, Peeta, Srinivas, Hu, Simon, Wang, Yibing and Zheng, Zuduo (2021). A car-following model for connected and automated vehicles with heterogeneous time delays under fixed and switching communication topologies. IEEE Transactions on Intelligent Transportation Systems, 23 (9), 1-13. doi: 10.1109/tits.2021.3134419 |
