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2020 Journal Article Cooperate or not? Exploring drivers’ interactions and response times to a lane-changing request in a connected environmentAli, Yasir, Bliemer, Michiel C.J., Zheng, Zuduo and Haque, Md. Mazharul (2020). Cooperate or not? Exploring drivers’ interactions and response times to a lane-changing request in a connected environment. Transportation Research Part C: Emerging Technologies, 120 102816, 102816. doi: 10.1016/j.trc.2020.102816 |
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2020 Journal Article Is an informed driver a better decision maker? A grouped random parameters with heterogeneity-in-means approach to investigate the impact of the connected environment on driving behaviour in safety-critical situationsSharma, Anshuman, Zheng, Zuduo, Kim, Jiwon, Bhaskar, Ashish and Haque, Mazharul (2020). Is an informed driver a better decision maker? A grouped random parameters with heterogeneity-in-means approach to investigate the impact of the connected environment on driving behaviour in safety-critical situations. Analytic Methods in Accident Research, 27 100127, 100127. doi: 10.1016/j.amar.2020.100127 |
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2020 Journal Article The impact of the connected environment on driving behavior and safety: a driving simulator studyAli, Yasir, Sharma, Anshuman, Haque, Md. Mazharul, Zheng, Zuduo and Saifuzzaman, Mohammad (2020). The impact of the connected environment on driving behavior and safety: a driving simulator study. Accident Analysis and Prevention, 144 105643, 105643. doi: 10.1016/j.aap.2020.105643 |
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2020 Journal Article Examining the impact of car-sharing on private vehicle ownershipZhou, Fan, Zheng, Zuduo, Whitehead, Jake, Perrons, Robert K., Washington, Simon and Page, Lionel (2020). Examining the impact of car-sharing on private vehicle ownership. Transportation Research Part A: Policy and Practice, 138, 322-341. doi: 10.1016/j.tra.2020.06.003 |
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2020 Journal Article Investigating the long- and short-term driving characteristics and incorporating them into car-following modelsChen, Xiaoyun, Sun, Jian, Ma, Zian, Sun, Jie and Zheng, Zuduo (2020). Investigating the long- and short-term driving characteristics and incorporating them into car-following models. Transportation Research Part C: Emerging Technologies, 117 102698, 102698. doi: 10.1016/j.trc.2020.102698 |
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2020 Journal Article Exploring the spatial-temporal relationship between rainfall and traffic flow: a case study of Brisbane, AustraliaQi, Yanmin, Zheng, Zuduo and Jia, Dongyao (2020). Exploring the spatial-temporal relationship between rainfall and traffic flow: a case study of Brisbane, Australia. Sustainability, 12 (14) 5596, 5596. doi: 10.3390/su12145596 |
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2020 Journal Article Using digital technologies to deliver scenarios to geographically dispersed stakeholders: lessons learned from the transportation sectorHew, Aiwen, Perrons, Robert K., Washington, Simon, Page, Lionel and Zheng, Zuduo (2020). Using digital technologies to deliver scenarios to geographically dispersed stakeholders: lessons learned from the transportation sector. Futures, 120 102567, 102567. doi: 10.1016/j.futures.2020.102567 |
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2020 Journal Article Understanding the discretionary lane-changing behaviour in the connected environmentAli, Yasir, Zheng, Zuduo, Mazharul Haque, Md., Yildirimoglu, Mehmet and Washington, Simon (2020). Understanding the discretionary lane-changing behaviour in the connected environment. Accident Analysis and Prevention, 137 105463, 1-18. doi: 10.1016/j.aap.2020.105463 |
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2020 Journal Article Microscopic modelling of area-based heterogeneous traffic flow: area selection and vehicle movementSarkar, Nikhil Chandra, Bhaskar, Ashish, Zheng, Zuduo and Miska, Marc P (2020). Microscopic modelling of area-based heterogeneous traffic flow: area selection and vehicle movement. Transportation Research Part C: Emerging Technologies, 111, 373-396. doi: 10.1016/j.trc.2019.12.013 |
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2020 Journal Article Preference heterogeneity in mode choice for car-sharing and shared automated vehiclesZhou, Fan, Zheng, Zuduo, Whitehead, Jake, Washington, Simon, Perrons, Robert K. and Page, Lionel (2020). Preference heterogeneity in mode choice for car-sharing and shared automated vehicles. Transportation Research Part A: Policy and Practice, 132, 633-650. doi: 10.1016/j.tra.2019.12.004 |
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2019 Journal Article Long-term forecasts for energy commodities price: what the experts thinkZhou, Fan, Page, Lionel, Perrons, Robert K., Zheng, Zuduo and Washington, Simon (2019). Long-term forecasts for energy commodities price: what the experts think. Energy Economics, 84 104484, 104484. doi: 10.1016/j.eneco.2019.104484 |
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2019 Journal Article A hazard-based duration model to quantify the impact of connected driving environment on safety during mandatory lane-changingAli, Yasir, Haque, Md. Mazharul, Zheng, Zuduo, Washington, Simon and Yildirimoglu, Mehmet (2019). A hazard-based duration model to quantify the impact of connected driving environment on safety during mandatory lane-changing. Transportation Research Part C: Emerging Technologies, 106, 113-131. doi: 10.1016/j.trc.2019.07.015 |
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2019 Journal Article A game theory-based approach for modelling mandatory lane-changing behaviour in a connected environmentAli, Yasir, Zheng, Zuduo, Haque, Md. Mazharul and Wang, Meng (2019). A game theory-based approach for modelling mandatory lane-changing behaviour in a connected environment. Transportation Research Part C: Emerging Technologies, 106, 220-242. doi: 10.1016/j.trc.2019.07.011 |
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2019 Journal Article Modelling car-following behaviour of connected vehicles with a focus on driver complianceSharma, Anshuman, Zheng, Zuduo, Bhaskar, Ashish and Haque, Md. Mazharul (2019). Modelling car-following behaviour of connected vehicles with a focus on driver compliance. Transportation Research Part B: Methodological, 126, 256-279. doi: 10.1016/j.trb.2019.06.008 |
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2019 Journal Article Estimating and comparing response times in traditional and connected environmentsSharma, Anshuman, Zheng, Zuduo, Kim, Jiwon, Bhaskar, Ashish and Haque, Md. Mazharul (2019). Estimating and comparing response times in traditional and connected environments. Transportation Research Record, 2673 (4), 036119811983796-684. doi: 10.1177/0361198119837964 |
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2019 Journal Article Is more always better? The impact of vehicular trajectory completeness on car-following model calibration and validationSharma, Anshuman, Zheng, Zuduo and Bhaskar, Ashish (2019). Is more always better? The impact of vehicular trajectory completeness on car-following model calibration and validation. Transportation Research Part B: Methodological, 120, 49-75. doi: 10.1016/j.trb.2018.12.016 |
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2019 Journal Article Short-term traffic flow forecasting: a component-wise gradient boosting approach with hierarchical reconciliationLi, Zili, Zheng, Zuduo and Washington, Simon (2019). Short-term traffic flow forecasting: a component-wise gradient boosting approach with hierarchical reconciliation. IEEE Transactions on Intelligent Transportation Systems, 21 (12) 8883246, 1-13. doi: 10.1109/tits.2019.2948381 |
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2018 Journal Article A pattern recognition algorithm for assessing trajectory completenessSharma, Anshuman, Zheng, Zuduo and Bhaskar, Ashish (2018). A pattern recognition algorithm for assessing trajectory completeness. Transportation Research Part C: Emerging Technologies, 96, 432-457. doi: 10.1016/j.trc.2018.09.027 |
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2018 Journal Article Connectivity's impact on mandatory lane-changing behaviour: evidences from a driving simulator studyAli, Yasir, Zheng, Zuduo and Haque, Md. Mazharul (2018). Connectivity's impact on mandatory lane-changing behaviour: evidences from a driving simulator study. Transportation Research Part C: Emerging Technologies, 93, 292-309. doi: 10.1016/j.trc.2018.06.008 |
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2018 Journal Article Thinking together about the future when you are not together: the effectiveness of using developed scenarios among geographically distributed groupsHew, Aiwen, Perrons, Robert K., Washington, Simon, Page, Lionel and Zheng, Zudou (2018). Thinking together about the future when you are not together: the effectiveness of using developed scenarios among geographically distributed groups. Technological Forecasting and Social Change, 133, 206-219. doi: 10.1016/j.techfore.2018.04.005 |
