联系方式：zhangqiwhut@163.com； 13247192871

地    址: 武昌区和平大道1178号  武汉理工大学交通物流学院

教育经历

2021.03-2025.01，瑞典皇家理工学院，交通科学， 博士  导师：Erik Jenelius，Zhenliang Ma

2017.09-2020.06，武汉理工大学，交通信息工程与控制， 硕士

2011.09-2015.06，武汉理工大学，航海技术，本科

工作经历

2025.03-至今，武汉理工大学，交通与物流工程学院，讲师

2024.04-2024.07， 清华大学，车辆与运载学院，交流访问（合作导师：曲小波）

2020.06-2021.02，武汉理工大学，航运学院，研究助理

2015.08-2017.06，武汉长江航道救助打捞局，船舶驾驶

论文发表

[1]Zhang Q, Ma Z, Cui Z. A causality-based explainable AI method for bus delay propagation analysis. Communications in Transportation Research, 2025, 5: 100178.

[2]Zhang Q,Ma Z, Wu Y, et al. Quantifying variable contributions to bus operation delays considering causal relationships. Transportation Research Part E Logistics and Transportation Review, 2025, 194: 103881.

[3]Zhang Q,Ma Z, Ling Y, et al. Causal graph discovery for urban bus operation delays: a case study in Stockholm. Transportation Research Record Journal of the Transportation Research Board, 2025, 2679(5): 256～272.

[4] Zhang Q,Wang W, She J, et al. Understanding bus network delay propagation: Integration of causal inference and complex network theory. Journal of Transport Geography, 2025, 123: 104098.

[5] Zhang Q, Ma Z, Zhang P, et al. Mobility knowledge graph: review and its application in public transport. Transportation, 2025, 52(3): 1119～1145.

[6] Zhang Q, Ma Z, Zhang P, et al. Real-time bus arrival delays analysis using seemingly unrelated regression model. Transportation, 2024.

[7] Zhang Q,Ma Z, Zhang P, et al. User-station attention inference using smart card data: a knowledge graph assisted matrix decomposition model. Applied Intelligence, 2023, 53(19): 21944～21960.

[8] Zhang Q, Wen Y, Zhou C, et al. Construction of knowledge graphs for maritime dangerous goods. Sustainability, 2019, 11(10): 2849.

[9] Zhang Q,Wen Y Q, Han D, et al. Construction of knowledge graph of maritime dangerous goods based on IMDG code. The Journal of Engineering, 2020, 2020(13): 361～365.

[10] Qin Z, Zhang P, Zhang Q, et al. TransGTE: a transformer-based model with geographical trajectory embedding for the individual trip destination prediction. Expert Systems With Applications, 2025, 287: 128159.

[11] Ling Y, Ma Z, Song Y, Zhang Q, et al. Bus driver deceleration behavior modeling at intersections using multi-source on-board sensor data. Journal of Public Transportation, 2025, 27: 100123.

[12] Zhong C, Wu P, Zhang Q, et al. Online prediction of network-level public transport demand based on principle component analysis. Communications in Transportation Research, 2023, 3: 100093.

[13] Ling Y, Ma Z, Zhang Q, et al. PEDAST-GCN: Fast Pedestrian Crossing Intention Prediction using Spatial–Temporal Attention Graph Convolution Networks. IEEE Transactions on Intelligent Transportation Systems, 2024, 25(10): 13277～13290.

[14] Ling Y, Ma Z, Xie B, Zhang, Q, et al. SA-BIGCN: Bi-Stream Graph convolution networks with spatial attentions for the eye contact detection in the wild. IEEE Transactions on Intelligent Transportation Systems, 2023, 25(2): 2089～2100..

[15] Song R, Wen Y, Tao W, Zhang, Q,et al. Semantic modeling of ship behavior in cognitive space. Journal of Marine Science and Engineering, 2022, 10(10): 1347.

[16] Sui Z, Wen Y, Zhou C, Zhang, Q,et al. An improved approach for assessing marine traffic complexity based on Voronoi diagram and complex network. Ocean Engineering, 2022, 266: 112884.

[17]文元桥,张奇,肖长诗,等.危险货物水路运输知识图谱的构建[J].中国航海, 2019, 42(4):6.

会议及学术活动

[1] Zhang, Q., et al. "Understanding Bus Network Delay Propagation: Integration of Causal Inference and Complex Network Theory" The 104rd Transportation Research Board (TRB) Annual Meeting. Washington, USA, 2025. (海报展示)

[2]Zhang, Q., et al. "Causal Graph Discovery for Urban Bus Operation Delays: A case in Stockholm." The 103rd Transportation Research Board (TRB) Annual Meeting. Washington, USA, 2024. (演示汇报).

[3]Zhang, Q., et al. " Quantifying Factors Contributing to Bus Arrival Delays based on Causal Inference" World Transport Convention (WTC2024). Qingdao, China 2024. (演示汇报)

[4] Ling, Y., Zhang, Q., Weng, X., et al. "STMA-GCN_PedCross: Skeleton Based Spatial-Temporal Graph Convolution Networks with Multiple Attentions for Fast Pedestrian Crossing Intention Prediction." 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC). IEEE, Bizkaia, Spain.

[5] Zhang, Q., et al. "Mobility knowledge graph: review and its application in public transport." The 102nd Transportation Research Board (TRB) Annual Meeting. Washington, USA, 2023. (海报展示)

[6] Zhang, Q., et al. "Causal Delay Graph Discovery for Urban Bus Operations." The 12th Annual Swedish Transport Research Conference (STRC 2023). Stockholm, Sweden. (演示汇报)

[7] Zhang, Q., et al. "Mobility knowledge graph and assisted application." 11th Swedish Transport Research Conference, 18-19 October 2022, Lund, Sweden. (演示汇报)

[8] Zhang, Q., et al. "Understand Travel Activities: Mobility Knowledge Graph Construction from Smart Card Data." Transportforum, Linköping, 16–17 June 2022. (演示汇报)

[9] Cities Partnership Workshop on Rail Data (UCL-Lund-KTH), Stockholm, Sweden, May 2022. (联合组织者)

[10]Zhang, Q., et al. "Ontology-based Construction and Application of Knowledge Graph of Maritime Dangerous Goods." 2019 5th International Conference on Transportation Information and Safety (ICTIS). IEEE, 2019.

获奖

[1] 杜经农、熊劲磊、邓燕、张娜、黄亮、张扬、张奇、等.长江航运治理智慧数据驾驶舱关键技术及应用，中国智能交通协会科学技术奖二等奖，2025.

主持项目

[1] 2026.01-2027.12 ，场景驱动的水上交通行为智能认知理论与方法研究，全国重点实验室开放基金。

[2] 2025.03-2026.12，“面向自动驾驶和自主决策的交通知识工程构建技术研究”，中央高校基本科研业务费专项资金。

[3] 2025.06-2026.12，“长江海事局长江水上交通现代化安全治理体系研究”，长江海事局科技项目。

[4] 2025.12-2026.06，“盐田港MSC 15K 标箱集装箱船加注作业风险评估、作业兼容性评估和系泊分析” 企事业委托。

[5] 2025.06-2025.12，“长江航运治理智慧数据驾驶舱关键技术研究 及应用报告编制服务项目”，企事业委托。

参与项目

[1] 2026-2029，MIMO驱动的集装箱码头水平运输弹性化调控机理与方法，面上项目。

[2] 2022-2025，Swedish Strategic Research（瑞典交通部），具有全新视角的交通研究环境。

[3] 2023-2025，Region Stockholm（斯德哥尔摩省交通厅），基于轨迹数据的人类出行行为因果智能分析。

[4] 2023-2025，Digital Future（瑞典数字未来研究中心），基于轨迹数据的人类出行行为因果智能分析。