奇格奇

基本信息

研究方向

• 交通运输规划与管理
• 物流工程与管理（专业学位）
• 交通运输（专业学位）
• 智能运输系统理论与技术
• 综合交通运输理论与技术
• 交通系统分析与控制理论与技术
• 交通控制与安全

招生专业

• 交通运输规划与管理硕士
• 物流工程与管理硕士
• 交通运输硕士
• 交通运输规划与管理博士
• 安全科学与工程硕士

工作经历

教育背景

细分方向

科研项目

教学工作

TRFFIC SAFETY ENGINEERING，交通安全工程

SYSTEMS ENGINEERING，系统工程

PUBLIC TRANSPORT – PLANNING AND OPERATIONS THEORY，城市公共交通规划与运营管理

FLIGHT PRINCIPLES，飞行原理

ARTIFICIAL INTELLIGENCE，人工智能

INTELLIGENT TRANSPORTATION SYSTEM，智能交通系统

论文/期刊

[1] P. Li, G. Qi*, X. Yan, S. Zhao, L. Hu, Z. He, W. Guan, "Brain driving: personalizing vehicle speed with DR-EEG decoding and situational embeddings," IEEE Transactions on Intelligent Vehicles, 2024, 1-21. doi: 10.1109/TIV.2024.3430952

[2] G. Qi, R. Liu, W. Guan, A. Huang, "Augmented recognition of distracted driving state based on electrophysiological analysis of brain network," Cyborg Bionic Systems, 2024, 5: 0130. doi: 10.34133/cbsystems.0130

[3] 张子贤, 关伟, 奇格奇*. 基于多智能体元强化学习的危险品运输路径优化 [J/OL]. 交通运输工程与信息学报, 2024, 1-17.

[4] 许明,齐光尧,奇格奇*. 基于动态反投影网络的细粒度交通流推断模型 [J/OL]. 系统仿真学报, 2024, 1-11.

[5] 奇格奇, 黄爱玲, 王海星, 李宝文. 基于线上教育新模态的学生数据画像理论与实证研究 [J]. 信息系统工程, 2024, (02): 165-168.

[6] 奇格奇, 刘思劲, 何一康, 王猛, 黄爱玲. 基于仿真驱动的高速公路主动限速效用评价与推荐[J]. 系统仿真学报, 2022, 34(12): 2522-2534.

[7] 奇格奇, 李丹, 段梦媛, 关伟, 马继辉. 考虑电动公交在途特性的电池状态梯次划分[J]. 中国公路学报, 2022, 35(8): 44-54.

[8] R. Wang, J. Wu, G. Qi*, "Exploring regional sustainable commuting patterns based on dockless bike-sharing data and POI data," Journal of Transport Geography, vol. 102, 103395, 2022. doi: 10.1016/j.jtrangeo.2022.103395.

[9] S. Zhao, W. Guan, G. Qi*, P. Li, "Heterogeneous overtaking and learning styles with varied EEG patterns in a reinforced driving task," Accident Analysis & Prevention, vol. 171, 106665, 2022. doi: 10.1016/j.aap.2022.106665.

[10] 奇格奇, 邹恺杰, 邹婕, 李文倩, 曹靖萱, 吴介豪, 张文义. 面向异质化需求的无人驾驶电动公交接驳路径优化[J].清华大学学报(自然科学版), 2022, 62(07): 1178-1185. doi:10.16511/j.cnki.qhdxxb.2022.26.001.

[11] G. Qi, S. Zhao, A. Ceder, W. Guan, X. Yan, "Wielding and Evaluating the Removal Composition of Common Artefacts in EEG Signals for Driving Behaviour Analysis," Accident Analysis and Prevention, vol. 159, 106223, 2021. doi: 10.1016/j.aap.2021.106223.

[12] G. Qi, A. Ceder, A. Huang and W. Guan, "A methodology to attain public transit origin-destination mobility patterns using multi-layered mesoscopic analysis," IEEE Transactions on Intelligent Transportation Systems, vol. 22(10), pp. 6256-6274, 2021, doi: 10.1109/TITS.2020.2990719.

[13] 奇格奇, 张子贤, 卫振林, 李宝文. 基于语义挖掘的快递运输货品风险评价研究[J]. 交通运输系统工程与信息, 2021, 21(4): 248-255.

[14] G. Qi, A. Ceder, Z. Zhang, W. Guan, and D. Liu, "New method for predicting long-term travel time of commercial vehicles to improve policy-making processes," Transportation Research Part A: Policy and Practice, vol. 145, pp. 132-152, 2021, doi:10.1016/j.tra.2020.12.003.

[15] H. Zhong, H. Liu, and G. Qi *, "Analysis of terminal area airspace operation status based on trajectory characteristic point clustering," IEEE Access, vol. 9, pp. 16642-16648, 2021.

[16] G. Qi, W. Guan, Z. He and A. Huang, "Adaptive kernel fuzzy C-means clustering algorithm based on cluster structure," Journal of Intelligent & Fuzzy Systems, vol. 37(2), pp. 2453-2471, 2019.

[17] G. Qi and W. Guan, "Quantitatively mining and distinguishing situational discomfort grading patterns of drivers from car-following data," Accident Analysis and Prevention, vol. 123, pp. 282-290, 2019.

[18] G. Qi, A. Huang, W. Guan, and L. Fan, "Analysis and prediction of regional mobility patterns of bus travellers using smart card data and points of interest data," IEEE Transactions on Intelligent Transportation Systems, vol. 20(4), pp. 1197-1214, 2019.

[19] G. Qi, W. Guan, X. Li, N. Hounsell, and N. A. Stanton, "Vehicle sensor data-based analysis on the driving style differences between operating indoor simulator and on-road instrumented vehicle," Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, vol. 23(2), pp. 144-160, 2019.

[20] G. Qi, J. Wu, Y. Zhou, Y. Du, Y. Jia, N. Hounsell, and N. A. Stanton, "Recognizing driving styles based on topic models," Transportation Research Part D: Transport and Environment, vol. 66, pp. 13-22, 2019.

[21] 奇格奇, 吴建平, 杜怡曼, 贾宇涵. 快速城镇化背景下的驾驶风格多样性分析[J]. 清华大学学报(自然科学版), 2016, 56(12): 1320-1326.

[22] G. Qi, Y. Du, J. Wu, N. Hounsell, and Y. Jia, "What is the appropriate temporal distance range for driving style analysis?" IEEE Transactions on Intelligent Transportation Systems, vol. 17, pp. 1393-1403, 2016.

[23] G. Qi, Y. Du, J. Wu, and M. Xu, "Leveraging longitudinal driving behaviour data with data mining techniques for driving style analysis," IET Intelligent Transport Systems, vol. 9, pp. 792-801, 2015.

[24] 奇格奇, 吴建平, 杜怡曼, 贾宇涵. 基于交通仿真的老城区交通微循环方案设计[J], 系统仿真学报, 2014, 26(10): 2514-2518. 

————————————————————————————————————————————————————

[1] 赵朔, 奇格奇, 李培豪, 关伟. 基于脑电通道注意力机制的驾驶行为识别研究 [J/OL]. 交通运输系统工程与信息, 2024, 1-12.

[2] R. Te, B. Zhu, H. Ma, X. Zhang, S. Chen, Y. Huang, G. Qi, " Machine learning approach for predicting post-intubation hemodynamic instability (PIHI) index values: towards enhanced perioperative anesthesia quality and safety," BMC Anesthesiology, vol. 24, 136, 2024.

[3] X. Xu, A. Huang, A. Shalaby, Q. Feng, M. Chen, G. Qi, "Exploring cascading failure processes of interdependent multi-modal public transit networks," Physica A-Statistical Mechanics and Its Applications, vol. 638, 129576, 2024. 

[4] Z. Zhang, G. Qi, and Wei Guan, "Coordinated multi-agent hierarchical deep reinforcement learning to solve multi-trip vehicle routing problems with soft time windows," IET Intelligent Transport Systems, vol. 17, no. 10, pp. 2034-2051, 2023. 

[5] M. Duan F. Liao, G. Qi, and W. Guan, "Integrated optimization of electric bus scheduling and charging planning incorporating flexible charging and timetable shifting strategies," Transportation Research Part C-Emerging Technologies, vol. 152, 104175, 2023. 

[6] 段梦媛, 奇格奇, 关伟, 徐笑涵. 考虑车线匹配的电动公交多线路联合优化建模[J/OL]. 交通运输系统工程与信息, 1-11[2023-04-19].

[7] Z. Jiang, A. Huang, G. Qi, and Wei Guan, "A framework of travel mode identification fusing deep learning and map-matching algorithm," IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 6, pp. 6401-6415, 2023.

[8] D. He, A. Ceder, W. Zhang, W. Guan, and G. Qi, "Optimization of a rural bus service integrated with e-commerce deliveries guided by a new sustainable policy in China," Transportation Research Part E: Logistics and Transportation Review, vol. 172, 103069, 2023. 

[9] Y. Lv, D. Zhi, H. Sun, G. Qi, "Mobility pattern recognition based prediction for the subway station related bike-sharing trips," Transportation Research Part C-Emerging Technologies, vol. 133, 103404, 2021. doi: 10.1016/j.trc.2021.103404.

[10] Z. Zhang, G. Qi, A. Ceder, W. Guan, R. Guo, Z. Wei, "Grid-based anomaly detection of freight vehicle trajectory considering local temporal window," Journal of Advanced Transportation, 2021, article ID 8103333. doi: 10.1155/2021/8103333.

[11] M. Duan, G. Qi, W. Guan, C. Lu, C. Gong, "Reforming mixed operation schedule for electric buses and traditional fuel buses by an optimal framework," IET Intelligent Transport Systems, vol. 15(10), pp. 1287-1303, 2021. doi: 10.1049/itr2.12098.

[12] M. Duan, G. Qi, W. Guan, and R. Guo, "Comprehending and analyzing multiday trip-chaining patterns of freight vehicles using a multiscale method with prolonged trajectory data," Journal of Transportation Engineering Part A-Systems, vol. 146(8): 04020070, 2020.

[13] Z. He, G. Qi, L. Lu, and Y. Chen, "Network-wide identification of turn-level intersection congestion using only low-frequency probe vehicle data," Transportation Research Part C-Emerging Technologies, vol. 108, pp. 320-339, 2019.

[14] H. Zhong, G. Qi, W. Guan, and X. Hua, "Application of nonnegative tensor factorization for intercity rail-air transport supply configuration pattern recognition," Sustainability, vol. 11(6): 1803, 2019.

[15]Y. Cheng, A. Huang, G. Qi, and B. Zhang, "Mining customized bus demand spots based on smart card data: a case study of the beijing public transit system," IEEE Access, vol. 7, pp. 181626-181647, 2019.

[16] H. Zhong, G. Qi, W. Guan, and X. Hua, "Application of non-negative tensor factorization for airport flight delay pattern recognition," IEEE Access, vol. 7, pp. 171724-171737, 2019.

[17] W. Zhang, Z. He, W. Guan and G. Qi. "Day-to-day rerouting modeling and analysis with absolute and relative bounded rationalities," Transportmetrica A- Transport Science, vol. 14(3), pp. 256-273, 2018.

[18] S. Yang, J. Wu, G. Qi and K. Tian. "Analysis of traffic state variation patterns for urban road network based on spectral clustering," Advances in Mechanical Engineering, vol. 9(9): 2071941467, 2017.

[19] Y. Du, J. Wu, G. Qi and Y. Jia. "Simulation study of bicycle multi-phase crossing at intersections," Proceedings of the Institution of Civil Engineers: Transport, vol. 168(5), pp. 457-465, 2015.

专利

•   一种考虑司机决策的空港枢纽出租车运力调配方法
•  一种应用于人机共驾的驾驶员脑电伪迹去除方法 
• 基于脑电数据的驾驶学习能力检测方法及系统
• 基于语义风险自适应识别的物流安检方法
• 基于浮动车数据网格映射的城市路网交叉口 拥堵识别方法
• 动态交通仿真平台及其仿真方法
  

社会兼职

中国仿真学会交通建模与仿真技术委员会委员

中国仿真学会自动驾驶汽车仿真测试专委会委员

交通工程与管理青年学者论坛组委会成员

系统仿真学报青年编委

WTC世界交通大会技术委员会青年委员

学科竞赛

l  全国大学生交通科技大赛     曹琳琪     董艳、何思帆、沈益达、杨瑀玎，三等奖

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