1]国家自然科学基金 考虑失败换道行为的换道风险形成机理及实时预测方法研究2024-2026主持

[2]东航技术应用研发中心有限公司 基于机器学习的航空安全报告数智化应用研究2023-2024主持

[3]上海市自然科学基金 基于多源数据的城市公共交通多层复杂网络建模及脆弱性研究2022-2025主持

[4]中国博士后科学基金 城市轨道交通网络突发事件风险评估及控制策略2018-2020主持

[5]江苏省交通运输与安全保障重点建设实验室开放课题 城市道路危险品运输风险评估及安全保障技术研究2019-2021主持

[6]国家自然科学基金 基于人工智能建模的危险驾驶行为识别和风险评估2019-2022主要参与人

[7]十三五国家重点研发计划道路交通安全主动防控技术及系统集成2017-2021主要参与人

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[2] Xing, Y., Wu, Y., Zhang, S., Wang, L., Cui, H., Jia, B., & Wang, H. (2024). Discovering latent themes in aviation safety reports using text mining and network analytics. International Journal of Transportation Science and Technology.

[3] Xue, Q., Wang, K., Lu, J. J., Xing, Y.*, Gu, X., & Zhang, M. (2023). An improved risk estimation model of lane change using naturalistic vehicle trajectories. Journal of Transportation Safety & Security, 15(10), 963-986.

[4] Xing, Y., Zhou, H., Han, X., Zhang, M., & Lu, J. (2022). What influences vulnerable road users’perceptions of autonomous vehicles? A comparative analysis of the 2017 and 2019 Pittsburgh surveys. Technological Forecasting and Social Change, 176, 121454. (SSCI, IF: 10.884)

[5] Xue, Q., Xing, Y.*, & Lu, J. (2022). An integrated lane change prediction model incorporating traffic context based on trajectory data. Transportation Research Part C: Emerging Technologies, 141, 103738. (SCI, IF: 9.002)

[6] Ding, S., Zhang, M., Xing, Y.*, & Lu, J. (2022). Revealing Urban Community Structures by Fusing Multisource Transportation Data. Journal of Transportation Engineering, Part A: Systems, 148(9), 04022060.

[7] Zhang, S., Chen, S., Xing, Y.*, Zhang, H. M., Lu, J., & Long, S. (2022). Macro-level hazardous material transportation safety analysis in China using a Bayesian negative binomial model combined with conditional autoregression prior. Journal of Transportation Safety & Security, 14(6), 1044-1062.

[8] Chen, S., Chen, Y., &Xing, Y.* (2022). Comparison and analysis of crash frequency and rate in cross-river tunnels using random-parameter models. Journal of Transportation Safety & Security, 14(2), 280-304.

[9] Li, H., Xing, Y.*, Zhang, W., & Zhang, X. (2021). Investigating the Impact of Weather Conditions and Land Use on Dockless Bike-Share Trips in Shanghai, China. Journal of Urban Planning and Development, 147(4), 05021031.

[10] Xing, Y., Wang, K., & Lu, J. J. (2020). Exploring travel patterns and trip purposes of dockless bike-sharing by analyzing massive bike-sharing data in Shanghai, China. Journal of transport geography, 87, 102787. (SSCI, IF:5.899)

[11] Chen, S., Zhang, S., Xing, Y.*, Lu, J., Peng, Y., & Zhang, H. M. (2020). The impact of truck proportion on traffic safety using surrogate safety measures in China. Journal of advanced transportation, 2020.

[12] Xing, Y., Chen, S., Zhu, S., & Lu, J. (2020). Analysis factors that influence escalator-related injuries in metro stations based on bayesian networks: A case study in China. International journal of environmental research and public health, 17(2), 481.

[13] Li, H., Zhong, X., Zhang, W., Li, S., &Xing, Y.*(2020). An algorithm for e-bike equivalents at signalized intersections based on traffic conflict events number. Transportation research part A: policy and practice, 134, 78-95. (SCI, IF:6.615)

[14] Xing, Y., Dissanayake, S., Lu, J., Long, S., & Lou, Y. (2019). An analysis of escalator-related injuries in metro stations in China, 2013–2015. Accident Analysis & Prevention, 122, 332-341. (SSCI, IF:6.379)

[15] Xing, Y., Lu, J., & Chen, S. (2019). Evaluating the effectiveness of platform screen doors for preventing metro suicides in China. Journal of affective disorders, 253, 63-68. (SCI, IF:6.533)

[16] Zhang, S., Xing, Y.*, Lu, J., & Zhang, H. M. (2019). Exploring the influence of truck proportion on freeway traffic safety using adaptive network-based fuzzy inference system. Journal of advanced transportation, 2019.