基本情况
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姓名：方捷 性别：男
出生年月：1984.06 籍贯：福州
Email：fangjie@fzu.edu.cn 职称：教授/硕士研究生导师
职务：福州大学梅努斯国际工程学院常务副院长、人工智能研究院副院长、澳门新莆京7906not交通工程系学位点负责人
学术背景
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博士学位 2008.09 ~ 2011.12
交通工程专业，土木与环境工程学院，美国威斯康辛州立大学麦迪逊分校
毕业论文：Coordinated and Active Traffic Control for Freeway Corridor （高速公路协调主动控制方法）
硕士学位 2007.09 ~ 2008.07
交通工程专业，土木与环境工程学院，美国威斯康辛州立大学麦迪逊分校
毕业论文：A Study on Evaluation Standard of the Wireless Location Technology Based Traffic Monitoring System （基于无线定位技术的交通状态交通技术的评估标准）
个人简历
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方捷，教授，硕导，福州大学梅努斯国际工程学院常务副院长、人工智能研究院副院长、土木学院交通工程系学位点负责人，中国公路学会自动驾驶委员会理事。2007 年进入美国University of Wisconsin-Madison 攻读交通工程硕士和博士，2011 年获美国威斯康辛州立大学博士（Ph.D.）学位。博士毕业后赴加拿大University of Alberta智能交通研究中心作为博士后研究员开展研究工作，2013年底到福州大学任教，2015年直聘为教授，历任交通工程系主任，澳门新莆京7906not院长助理。长期从事智能交通管理与控制、人工智能与网联交通系统等研究，在国际一流学术刊物和会议发表五十余篇次。在多个交通界国际知名杂志担任审稿人，如《Transportation Research Part C》、《IEEE Transactions on Intelligent Transportation system》等。
在美国期间，参与了多项由美国交通部和威斯康辛州交通厅资助的交通信息化、智能交通控制方面的研究项目；在加拿大阿尔贝塔大学进行研究期间，作为联合申请人参与了加拿大交通部重点专项资助（三千万研究经费）的《ACTIVE-AURORA 车联网技术研究实践平台》项目、加拿大国家自然科学基金（NSERC）资助的研究项目三项，以及阿尔贝塔省交通厅资助的多个智能交通控制研究项目。回国后，近年来主持国家自然科学基金、福建省自然科学基金等教学科研项目十余项，承担漳州市智能交通监控管理平台（单项215万研究经费）等一系列智能交通规划管控项目，教学科研经费超过500万元。
主要研究方向
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Ø Develop Coordinated Freeway Active Traffic Control Algorithms
高速公路与城市快速路的主动协调控制策略
Ø Probe Data based Freeway Traffic State Estimation and Evaluation
基于手机数据的实时交通状态监测与评估
Ø Developing the Traffic Control and Information Sharing System in Connected Vehicle Environment
基于车联网的交通控制与信息实时分享系统的构架
Ø Integration of Intelligent Transportation System
智能交通系统研发与整合
Ø Freeway Traffic Flow Characteristics
高速公路交通流特性研究
Ø Implementing Active Traffic Control Strategies on Simulation Platform
主动交通控制策略的协调控制系统开发与仿真
Ø Deep learning-based traffic state estimation and prediction
基于人工智能深度学习的交通状态感知与预测
Ø Multi-objective vehicle-road collaborative predictive control of urban road network based on Reinforcement Learning
基于强化学习的城市路网多目标车路协同预测控制
主要学术论文
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期刊文章
[1] Wu, Xuesong, Mengyun Xu, Jie Fang* and Xiongwei Wu. “A Multi-Attention Tensor Completion Network for Spatiotemporal Traffic Data Imputation.” IEEE Internet of Things Journal 9 (2022): 20203-20213. (SCI Q1)
[2] Mengyun Xu, Tony Z.Qiu, Jie Fang*, Hangyu He, Hongting Chen. “Signal-control refined dynamic traffic graph model for movement-based arterial network traffic volume prediction.” Expert Systems With Applications, 2023(SCI Q1)
[3] Jie Fang, Ya You, Mengyun Xu, Juanmeizi Wang, Sibin Cai. “Multi-Objective Traffic Signal Control Using Network-Wide Agent Coordinated Reinforcement Learning.” Expert Systems With Applications. 2023.(SCI Q1)
[4] Mengyun Xu, Jie Fang* and Yinfang Tong. “An Intelligent Adaptive Spatiotemporal Graph Approach for GPS-Data-Based Travel-Time Estimation.” IEEE Intelligent Transportation Systems Magazine 14 (2022): 222-237. (SCI Q1)
[5] Qiu, Tony Z., Mengyun Xu and Jie Fang*. “Internet of Vehicles Data-Oriented Arterial Travel Time Estimation Framework With Dynamic Multigraph Model.” IEEE Intelligent Transportation Systems Magazine 15 (2023): 101-116. (SCI Q1)
[6] Fang, Jie, Xiongwei Wu, Dianchao Lin, Mengyun Xu, Huahua Wu, Xuesong Wu and Ting Bi. “A Map-Matching Algorithm With Extraction of Multi-Group Information for Low-Frequency Data.” IEEE Intelligent Transportation Systems Magazine 15 (2022): 238-250. (SCI Q2)
[7] Zhang Dahe, Yang Yang, Jie Fang* and Ahmed Alkhayyat. “An optimal methodology for optimal controlling of a PEMFC connected to the grid based on amended penguin optimization algorithm.” Sustainable Energy Technologies and Assessments (2022): n. pag. (SCI Q2)
[8] Xu Mengyun, Kehua Guo, Jie Fang* and Zeshan Chen. “Utilizing Artificial Neural Network in GPS-Equipped Probe Vehicles Data- Based Travel Time Estimation.” IEEE Access 7 (2019): 89412-89426. (SCI Q2)
[9] Jie Fang*, Jing Jin. “Intelligent Algorithms for Reducing Short-Term Traffic State Prediction Error in Active Traffic Management.” Journal of Intelligent Transportation Systems, (2015) 19:3, 304-315, DOI: 10.1080/15472450.2014.893736.(SCI Q2)
[10] Jie Fang, Chen Wentian, Xu Mengyun, Liu Yuxuan. “Trajectory-Based Spatiotemporal Multi-Task Multi-Graph Network for Traffic State Prediction[J]. Transportation Research Record: Journal of the Transportation Research Board. ” (SCI Q3)
[11] Wu Xuesong, Jie Fang*, Zhijia Liu and Xiongwei Wu. “Multistep Traffic Speed Prediction from Spatial–Temporal Dependencies Using Graph Neural Networks.” Journal of Transportation Engineering, Part A: Systems (2021): n. pag. (SCI Q3)
[12] Chen Tao, Jie Fang*, Xu, Mengyun, Tong, Yingfang, Chen, Wentian. “Prediction of Public Bus Passenger Flow Using Spatial–Temporal Hybrid Model of Deep Learning.” Journal of Transportation Engineering, Part A: Systems. (2022) 148. 10.1061/JTEPBS.0000653. (SCI Q3)
[13] Chen Siyuan, Libi Fu, Jie Fang* and Panyun Yang. “The effect of obstacle layouts on pedestrian flow in corridors: An experimental study.” Physica A: Statistical Mechanics and its Applications (2019): n. pag. (SCI Q3)
[14] Jie Fang*, Ye Huixuan, Easa, Said. “Modified Traffic Flow Model with Connected Vehicle Microscopic Data for Proactive Variable Speed Limit Control.” Journal of advanced transportation. (2019).10.1155/2019/8151582. (SCI Q3)
[15] Md. Tazul Islam, Md. Hadiuzzaman, Jie Fang, Tony Z. Qiu and Karim El-Basyouny. Assessing Mobility and Safety Impacts of a Variable Speed Limit Control Strategy. Transportation Research Record: Journal of the Transportation Research Board, Issue 2364, 2013, pp 1–11. (SCI Q3)
[16] Fu Lina, Jie Fang*, Yunjie Lyu and Huahui Xie. “Improvement of METANET Model Based on Critical Density Modeling for Traffic Control.” Canadian Journal of Civil Engineering (2021): n. pag. (SCI Q4)
[17] Liu Zhijia, Jie Fang*, Yin Tong and Mengyun Xu. “Deep learning enabled vehicle trajectory map‐matching method with advanced spatial–temporal analysis.” IET Intelligent Transport Systems (2020): n. pag. (SCI Q4)
[18] Xie Huahui, Tu, Lili, Jie Fang*, Easa, Said. “Proactive Highway Traffic Control with Intelligent Multi-Objective Optimization Algorithm.” ICE Proceedings Transport. (2019). 10.1680/jtran.17.00157. (SCI Q4)
[19] Ye Huixuan, Lili Tu and Jie Fang*. “Predicting Traffic Dynamics with Driver Response Model for Proactive Variable Speed Limit Control Algorithm.” Mathematical Problems in Engineering 2018 (2018): 1-10. (SCI Q4)
[20] Luo Ying, Md. Hadiuzzaman, Jie Fang and Tony Z. Qiu. “Assessing the mobility benefits of proactive optimal variable speed limit control during recurrent and non-recurrent congestion.” Canadian Journal of Civil Engineering 42 (2015): 477-489. (SCI Q4)
[21] Jie Fang*, Md. Hadiuzzaman, Ahsanul Karim, Ying Luo and Tony Z. Qiu. “Variable Speed Limit Control Strategy with Collision Probability Assessments Based on Traffic State Prediction.” Transportation Research Record 2435 (2014): 11 - 18. (SCI Q4)
[22] Jie Fang, HadiuzzamanMd., YinElena and Z QiuTony. “DynaTAM: an online algorithm for performing simultaneously optimized proactive traffic control for freeways.” Canadian Journal of Civil Engineering 41 (2014): 315-322. (SCI Q4)
[23] Jie Fang*. “Performance Tuning of Coordinated Active Traffic Control Algorithm: Simultaneously Improving Corridor Safety and Mobility Performances.” Mathematical Problems in Engineering 2014 (2014): 1-11. (SCI Q4)
[24] Jie Fang*, “Network Coordinated Ramp Metering Control Strategy: Optimization and Evaluation.” Applied Mechanics and Materials 587-589 (2014): 2084 - 2088. (SCI Q4)
[25] Xu Wang, Md. Hadiuzzaman, Jie Fang, Tony Z. Qiu and Xinping Yan. Optimal Ramp Metering Control for Weaving Segments Considering Dynamic Weaving Capacity Estimation. ASCE's Journal of Transportation Engineering, 2014, 140(11), 04014057. (SCI Q4)
[26] Jing Jin, Steven Parker, Jie Fang, and Bin Ran. Freeway Recurrent Bottleneck Identification Algorithms Considering Detector Data Quality Issues. Journal of Transportation Engineering, 138 (10) 1205-1214, 2012. (SCI Q4)
会议文章
[27] Jie Fang*, Lili Tu, Easa, Said. “Ramp Metering Control Using Multi-Objective Optimization: Mobility and Safety[J].” Transportation Research Board 97th Annual Meeting, 2018（TRB）
[28] Jie Fang, Weiyi Qiu, Meigen Xue and Tony Z. Qiu. Anonymous Cell Phone-Based Large Scale Origin-Destination Data Collection: Case Studies in China. Transportation Research Board 94th Annual Meeting, Washington, D.C., January 2014. （TRB）
[29] Jie Fang, Md. Hadiuzzaman, Md Ahsanul Karim, Ying Luo and Tony Z. Qiu. A Novel VSL Control Strategy with Traffic State Prediction Based Collision Probability Assessments. Transportation Research Board 94th Annual Meeting, Washington, D.C., January 2014. (TRB)
[30] Md. Hadiuzzaman, Jie Fang, Ying Luo and Tony Z. Qiu. Modeling Driver Compliance with Variable Speed Limits and Quantifying Impacts of Compliance Levels and Control Strategy in Mobility and Safety. Transportation Research Board 94th Annual Meeting, Washington, D.C., January 2014. （TRB）
[31] Md. Hadiuzzaman, Jie Fang, Lan Cheng and Tony Z. Qiu. Impact of Mainline Demand Levels and Control Parameters on Multiobjective Optimization Involving Proactive Optimal Variable Speed Limit Control. Transportation Research Board 94th Annual Meeting, Washington, D.C., January 2014. (TRB)
[32] Peter J. Jin, Jie Fang, Michael DeGaspari and C. Michael Walton. Gap Metering for Active Traffic Control at Freeway Merging Sections. Transportation Research Board 94th Annual Meeting, Washington, D.C., January 2014. (TRB)
[33] Xuan Shi, Steven T. Parker, Yang Cheng, Jie Fang and Bin Ran. Comprehensive Traffic Data Quality Examination Tool: WisTransPortal V-SPOC Quality Assurance/Quality Control Enhancement. Transportation Research Board 94th Annual Meeting, Washington, D.C., January 2014. (TRB)
[34] Na Yin, Jie Fang，Pengfei Li and Tony Z. Qiu. Evaluation of Vehicle Positioning Accuracy by Using GPS-Enabled Smartphone. Transportation Research Board 94th Annual Meeting, Washington, D.C., January 2014.(TRB)
[35] Jing Jin, Jie Fang and Bin Ran. “Quantified Evaluation on Automatic Freeway Bottleneck Identification Algorithms Considering Data Quality Issues of Loop Detectors.” Paper No. 11-3965, Transportation Research Board 90th Annual Meeting, Washington, D.C., January 2011. (TRB)
[36] Jie Fang, Steven Parker, Bin Ran, David Noyce, Dean Beekman. “Heuristic Data Enhancement Method for Probe-Based Traffic Monitoring System.” Transportation Research Board Annual Meeting 2010, Washington, D.C., January 2010(TRB)
[37] Jing Jin, Wenjiao Yu, Jie Fang, and Bin Ran. “A Robust Bottleneck Identification Method using Noisy and Inconsistent Fixed-Point Detector Data.” Proceedings of Transportation Research Board, Paper No. 10-1374, Transportation Research Board 89th Annual Meeting, Washington, D.C., January 2010 (TRB)
[38] Chen, Tao, Jie Fang*, Zhijia Liu and Pinghui Xiao. “Forecasting Bus Passenger Flow Using Bi-LSTM with Attention Mechanism.” CICTP 2021 (2021): n. pag.
[39] Chen, Wentian, Jie Fang*, Liu, Zhijia,Xu, Mengyun. “A Key Path-Based Deep Learning Approach for Urban Traffic Speed Prediction. Journal of Physics: Conference Series.” CICTP 2021 (2021): n. pag..1972. 012095. 10.1088/1742-6596/1972/1/012095.
[40] Tong, yingfang, Jie Fang*, Liu, zhijia, Xiao, pinghui. “Short-term forecasting of travel time utilizing deep learning approach.” (2022). 19. 10.1117/12.2637079.
[41] Xiao, Pinghui, Jie Fang*, Xu, Mengyun, Liu, Zhijia. “Path Inference Filter and Route Choice Model Aided Map-Matching for Low-Frequen[2]cy GPS Data.” (2021). 145-157. 10.1061/9780784483565.015.
[42] Jie Fang*, Yunjie Lyu, Lina Fu and Huahui Xie. “Utilizing Artificial Intelligence in Vehicle Speed Modeling.” (2020).
[43] Xu, Mengyun, Jie Fang*, Xiao, Pinghui, Liu, Zhijia. “Probe Vehicles Data Based Traffic Speed Estimation for Urban Road Network.” (2020) 289-301. 10.1061/9780784483053.025.
[44] Liu, Zhijia, Jie Fang*, Xu, Mengyun, Xiao, Pinghui. Vehicle Trajectory Enhanced Map-Matching Method for Low Frequency GPS Data. (2020). 674-686. 10.1061/9780784483053.058.
[45] Xie, Huahui, Jie Fang*, Huixuan Ye and Yunjie Lyu. “Investigation on Multi-objective Freeway Control Strategy using Macroscopic and Microscopic Traffic Flow Data.” 2019 5th International Conference on Transportation Information and Safety (ICTIS) (2019): 633-639.
[46] Jie Fang* and Lili Tu. “Prediction based active ramp metering control strategy with mobility and safety assessment.” (2018).
[47] Jie Fang*, Ying Luo, Hadiuzzaman, Gang Liu and Tony Z. Qiu. “Safety Oriented Variable Speed Limit Control Method with Enhanced Driver Response Modeling.” (2015).
[48] Jie Fang*, Hadiuzzaman, Xu Wang and Tony Z. Qiu. “DEVELOPMENT OF FREEWAY ACTIVE TRAFFIC CONTROL SYSTEM.” (2013).
[49] Md. Hadiuzzaman, Jie Fang, Ying Luo and Tony Z. Qiu. “Evaluating Performance of a Proactive Optimal Variable Speed Limit Control Using Different Objective Functions.” Procedia - Social and Behavioral Sciences. Volume 96, 6 November 2013, Pages 2895–2906. Proceedings of 13th COTA International Conference of Transportation Professionals, 2013.
[50] Jie Fang, Md. Hadiuzzaman, Xu Wang and Tony Z. Qiu. “Developing of Freeway Active Traffic Control System.” Proceedings of ICTIS 2013.
[51] Jie Fang*, Dan Zhang, Jin Jing, Zhijun Qiu and Bin Ran. “A Case Study of Active Traffic Control: Improving Efficiency of the Traffic Operations Using Ramp Metering System.” Proceedings of 12th COTA International Conference of Transportation Professionals, 2012.
[52] Peter Jin , C. Michael Walton, Jie Fang and Mike Degaspari. “Gap Metering for Active Traffic Control at Freeway Merging, Diverging, and Weaving Sections.” Innovations in Traffic Flow Theory and Characteristics, and Highway Capacity and Quality of Service Symposium, 2011.
[53] Zhang Jian, Jie Fang, Steven Parker, Li Wenquan, Bin Ran. “Fixed Job Scheduling Model for Single Depot Transit Vehicle Assignment.” Proceeding of 2011 International Conference on Intelligent Computation Technology and Automation, Shenzhen, Guangdong, China 28-29 March 2011.
