个人简历

马晓磊，IET Fellow，国家万人计划青年拔尖人才，交通运输部城市轨道交通综合应急技术与装备研发中心副主任。2013年博士毕业于美国华盛顿大学，现任北航交通科学与工程学院教授，博士生导师。主要研究领域包括一体化出行、交通大数据分析、交通能源融合；主持国家自然科学基金面上/青年项目、国家重点研发计划课题、国家科技支撑计划等国家级、省部级项目20余项。目前已在Transportation Research B/C/D/E, IEEE TITS/TII等权威期刊以及会议上发表论文100余篇，其中60余篇被SCI/SSCI收录，SCI他引4000余次；获中国地理信息科技进步特等奖、中国商业科技进步一等奖、北京市科技进步二等奖、重庆市科技进步二等奖、华夏建设科学技术二等奖、中国智能交通协会科学技术奖二等奖等省部级奖励7项；担任IEEE TITS、IET ITS、Transportation Research Part C/D等7个权威SCI/SSCI期刊副主编及编委、世界交通运输大会交叉学部数据与信息学科主席等学术组织成员。入选中国科协青年人才托举工程，北京市优秀青年，北京市科技新星等人才计划。担任中国致公党中央青年工作委员会委员，第十三届全国青联委员，第六届中国青年科技工作者协会理事。\r
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教育经历\r
2003.9 -- 2007.6 北京理工大学 信息与通信工程 大学本科毕业 学士学位\r
2007.9 -- 2010.3 美国华盛顿大学 交通运输工程 硕士研究生毕业 硕士学位\r
2010.3 -- 2013.6 美国华盛顿大学 交通运输工程 博士研究生毕业 博士学位

研究领域

交通大数据分析\r
一体化出行（MaaS）\r
交通能源融合""

近期论文

Journal Articles (English)-first authors\r
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Xiaolei Ma, Yao-Jan Wu, and Yinhai Wang, 2011. DRIVE Net: An E-Science of Transportation Platform for Data Sharing, Visualization, Modeling, and Analysis. Transportation Research Record: Journal of the Transportation Research Board. 2215: 37-49.\r
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Xiaolei Ma, Edward McCormack and Yinhai Wang, 2011. Processing Commercial Global Positioning System Data to Develop a Web-Based Truck Performance Measures Program. Transportation Research Record: Journal of the Transportation Research Board. 2246: 92-100.\r
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Xiaolei Ma, Yao-Jan Wu, Yinhai Wang, Feng Chen and Jianfeng Liu, 2013. Mining Smart Card Data for Transit Riders' Travel Patterns. Transportation Research Part C: Emerging Technologies, 36:1-12.\r
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Xiaolei Ma, Yinhai Wang, Feng Chen and Jianfeng Liu, 2012. Transit Smart Card Data Mining for Passenger Origin Information Extraction. Frontiers of Information Technology & Electronic Engineering, 13(10):750-760.\r
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Xiaolei Ma and Yinhai Wang, 2014. Development of A Data-driven Platform for Transit Performance Measures Using Smart Card Data and GPS Data. Journal of Transportation Engineering, 140(12):04014063.\r
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Xiaolei Ma, Haiyang Yu, Yunpeng Wang and Yinhai Wang, 2015. Large-scale Transportation Network Congestion Evolution Prediction Using Deep Learning Theory. PLOS ONE, 10(3): e0119044.\r
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Xiaolei Ma, Zhimin Tao, Yinhai Wang, Haiyang Yu and Yunpeng Wang, 2015. Long Short-term Memory Neural Network for Traffic Speed Prediction Using Remote Microwave Sensor Data. Transportation Research Part C: Emerging Technologies, 54:187-197.\r
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Xiaolei Ma, Yong Wang, Edward McCormack, and Yinhai Wang, 2016. Understanding Freight Trip Chaining Behavior Using Spatial Data Mining Approach with GPS Data. Transportation Research Record: Journal of the Transportation Research Board, 2596:44-54.\r
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Xiaolei Ma, Chuan Ding, Sen Luan, Yong Wang, Yunpeng Wang, 2017. Prioritizing influential factors for freeway incident clearance time prediction using gradient boosting decision trees method. IEEE Transactions on Intelligent Transportation Systems, 18(9):2303-2310.\r
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Xiaolei Ma, Congcong Liu, Yunpeng Wang, Huimin Wen, Yao-Jan Wu, 2017. Understanding Commuting Patterns Using Transit Smart Card Data. Journal of Transport Geography, 58:135-145.\r
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Xiaolei Ma, Zhuang Dai, Zhengbing He, Jihui Ma, Yong Wang, Yunpeng Wang, 2017. Learning Traffic as Images: A Deep Convolution Neural Network for Large-scale Transportation Network Speed Prediction. Sensors, 17,818.\r
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Xiaolei Ma, Guohui Zhang, Cathy Liu, 2017. Data-Driven Urban Mobility Modeling and Analysis (Editorial). Journal of Advanced Transportation. Article ID: 8679827.\r
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Xiaolei Ma, Xi Chen, Xiaopeng Li, Chuan Ding, Yinhai Wang, 2018. Sustainable Station-level Planning: An Integrated Transport and Land Use Design Model for Transit-oriented Development. Journal of Cleaner Production, 170(1):1052-1063. \r
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Xiaolei Ma, Sen Luan, Bowen Du, Bin Yu, 2017. Spatial Copula Model for Imputing Traffic Flow Data from Remote Microwave Sensors, 17(10), 2160.\r
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Xiaolei Ma, Shuo Sun, Xiaoyue Liu, Chuan Ding, Zhuo Chen, Yunpeng Wang, 2018. A Time-Varying Parameters Vector Auto-Regression Model to Disentangle the Time Varying Effects between Drivers’Responses and Tolling on High Occupancy Toll Facilities. Transportation Research Part C: Emerging Technologies, 88:208-226.\r
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Xiaolei Ma, Jiyu Zhang, Chuan Ding, Yunpeng Wang, 2018. A Geographically and Temporally Weighted Regression Model to Explore the Spatiotemporal Influence of Built Environment on Transit Ridership. Computers, Environment and Urban Systems. 70:113-124.\r
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Xiaolei Ma, Sen Luan, Chuan Ding, Haode Liu, Yunpeng Wang, 2019. Spatial Interpolation of Missing Annual Average Daily Traffic Data Using Copula-based Model. IEEE Intelligent Transportation Systems Magazine. 11(3): 158-170.\r
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Xiaolei Ma, Jiyu Zhang, Bowen Du, Chuan Ding, Leilei Sun, 2019. Parallel Architecture of Convolutional Bi-directional LSTM Neural Networks for Network-wide Metro Ridership Prediction. IEEE Transactions on Intelligent Transportation Systems. 20(6):2278-2288.\r
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Xiaolei Ma, Jie Yang, Chuan Ding, Jianfeng Liu, Quan Zhu, 2018. Joint Analysis of the Commuting Departure Time and Travel Mode Choice: Role of the Built Environment. Journal of Advanced Transportation. Volume 2018, Article ID 4540832.\r
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Xiaolei Ma, Xian Zhang, Xin Li, Xingju Wang, Xu Zhao, 2019. Impacts of Free-floating Bikesharing System on Public Transit Ridership. Transportation Research Part D: Transport and Environment. 76:100-110.\r
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Xiaolei Ma, Houyue Zhong, Yi Li, Junyan Ma, Zhiyong Cui, Yinhai Wang, 2020. Forecasting Transportation Network Speed Using Deep Capsule Networks with Nested LSTM Models. IEEE Transactions on Intelligent Transportation Systems. 22(8):4813-4824.\r
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Xiaolei Ma, Yi Li, Peng Chen, 2020. Identifying spatiotemporal traffic patterns in large-scale urban road networks using a modified nonnegative matrix factorization algorithm. Journal of Traffic and Transportation Engineering (English Edition). 7(4):529-539.\r
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Xiaolei Ma, Ran Miao, Xinkai Wu, Xianglong Liu, 2021. Examining Influential Factors on the Energy Consumption of Electric and Diesel Buses: A Data-driven Analysis of Large-scale Public Transit Network in Beijing. Energy. 216: 119196.\r
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Xiaolei Ma, Enze Huo, Haiyang Yu, Honghai Li, 2021. Mining Truck Platooning Patterns Through Massive Trajectory Data. Knowledge-Based Systems. 221: 106972.\r
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Xiaolei Ma, Xiaoyue Liu, Xiaobo Qu, 2021. Public Transit Planning and Operation in the Era of Automation, Electrification, and Personalization. IEEE Transactions on Intelligent Transportation Systems. 22(4): 2345-2348.\r
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Journal Articles (English)-corresponding authors\r
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Sen Luan, Meng Li, Xin Li, Xiaolei Ma*, 2020. Effects of Built Environment on Bicycle Wrong Way Riding Behavior: A Data-driven Approach. Accident Analysis and Prevention. 144:105613.\r
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Zhuang Dai, Xiaoyue Liu, Xi Chen, Xiaolei Ma*, 2020. Joint optimization of scheduling and capacity for mixed traffic with autonomous and human-driven buses: a dynamic programming approach. Transportation Research Part C: Emerging Technologies. 114:598-619.\r
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Sen Luan, Xi Chen, Yuelong Su, Zhenning Dong, Xiaolei Ma*, 2022. Modelling Travel Time Volatility Using Copula-Based Monte-Carlo Simulation Method for Probabilistic Traffic Prediction. Transportmetrica A: Transport Science. 18(1):54-77.\r
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Zhuang Dai, Xiaoyue Liu, Zhuo Chen, Renyong Guo, Xiaolei Ma*, 2019. A predictive headway-based bus-holding strategy with dynamic control point selection: a cooperative game theory approach. Transportation Research Part B: Methodological. 125:29-51.\r
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Zhuang Dai, Xiaolei Ma*, Xi Chen, 2019. Bus Travel Time Modelling using GPS Probe and Smart Card Data: A Probabilistic Approach Considering Link Travel Time and Station Dwell Time. Journal of Intelligent Transportation Systems: Technology, Planning, and Operations. 23(2): 175-190.\r
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Haiyang Yu, Shuai Yang, Zhihai Wu, Xiaolei Ma*, 2018. Vehicle Trajectory Reconstruction from Automatic License Plate Reader Data. International Journal of Distributed Sensor Networks, 14(2):1-13.\r
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Yang Li, Xudong Wang, Shuo Sun, Xiaolei Ma*, 2017. Forecasting Short-term Subway Passenger Flow under Special Events Scenarios using Multiscale Radial Basis Function Networks. Transportation Research Part C: Emerging Technologies, 77:306-328.\r
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Haiyang Yu, Zhihai Wu, Dongwei Chen, Xiaolei Ma*, 2017. Probabilistic Prediction of Bus Headway Using Relevance Vector Machine Regression. IEEE Transactions on Intelligent Transportation Systems. 18(7):1772-1781.\r
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Haiyang Yu, Dongwei Chen, Zhihai Wu, Xiaolei Ma*, Yunpeng Wang, 2016. Headway-based Bus Bunching Prediction Using Transit Smart Card Data. Transportation Research Part C: Emerging Technologies, 72:45-49.\r
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Chuan Ding, Donggen, Wang, Xiaolei Ma*, Haiying Li, 2016. Predicting short-term Subway ridership and prioritizing its influential factors using gradient boosting decision trees. Sustainability, 8(11),1100.\r
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Chuan Ding, Xiaolei Ma*, Yinhai Wang, Yunpeng Wang, 2015. Exploring the influential factors in incident clearance time: disentangling causation from self-selection bias. Accident Analysis and Prevention, 85:58-65.\r
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Haiyang Yu, Zhihai Wu, Shuqin Wang, Yunpeng Wang and Xiaolei Ma*, 2017.Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks. Sensors, 17:1501.\r
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Lumei Liu, Lijun Sun, Yanyan Chen, Xiaolei Ma*, 2019. Optimizing Fleet Size and Scheduling of Feeder Transit Services Considering the Influence of Bike-sharing Systems. Journal of Cleaner Production, 236(1),117550.\r
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Yong Wang, Xiaolei Ma*, Mingwu Liu, Ke Gnog, Yong Liu, Maozeng Xu, Yinhai Wang, 2017. Cooperation and Profit Allocation in Two-echelon Logistics Joint Distribution Network Optimization. Applied Soft Computing, 56:143-157.\r
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Yong Wang, Xiaolei Ma*, Zhibin Li, Yong Liu, Maozeng Xu, Yinhai Wang, 2017. Profit Allocation in Collaborative Multiple Centers Vehicle Routing Problem. Journal of Cleaner Production, 144:203-219.\r
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Yong Wang, Xiaolei Ma*, Yunteng Lao, Yinhai Wang, 2014. A Fuzzy-based Customer Clustering Approach with Hierarchical Structure for Logistics Network Optimization. Expert Systems with Applications, 41(2):521-534.\r
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Yong Wang, Xiaolei Ma*, Maozeng Xu, Yong Liu, Yinhai Wang, 2015. Two-echelon logistics distribution region partitioning problem based on a hybrid particle swarm optimization-genetic algorithm. Expert Systems with Applications, 42(12): 5019-5031.\r
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Yong Wang, Xiaolei Ma*, Maozeng Xu, Yinhai Wang, Yong Liu. 2015. Vehicle Routing Problem based on A Fuzzy Customer Clustering Approach for Logistics Network Optimization. Journal of Intelligent&Fuzzy Systems, 29: 1427-1442.\r
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Yong Wang, Xiaolei Ma*, Maozeng Xu, Likun Wang, Yinhai Wang and Yong Liu, 2015. A Methodology to Exploit Allocation in Logistics Joint Distribution Network Optimization. Mathematical Problems in Engineering, 15, Article ID 827021.\r
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Yong Wang*, Xiaolei Ma*, Yinhai Wang, Haijun Mao and Yong Zhang, 2012. Location Optimization of Multiple Distribution Centers Under Fuzzy Environment. Journal of Zhejiang University Science A, 13(10):782-798.\r
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Yong Wang, Xiaolei Ma*, Yong Liu, Ke Gong, Kristian C. Henrickson, Maozeng Xu, Yinhai Wang, 2016. A Two-Stage Algorithm for Origin-Destination Matrices Estimation Considering Dynamic Dispersion Parameter for Route Choice. PLOS ONE, 11(1):e0146850.\r
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Yong Wang*, Xiaolei Ma*, Yunteng Lao, Haiyan Yu and Yong Liu, 2014. A Two-stage Heuristic Method for Vehicle Routing Problem with Split Deliveries and Pickups. Journal of Zhejiang University SCIENCE C, 15(3):200-210.\r
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Xi Chen, Yinhai Wang, Jinjun Tang, Zhuang Dai, Xiaolei Ma*, 2019. Examining regional mobility patterns of public transit and automobile users based on smart card and mobile Internet data: A case study of Chengdu, China. IET Intelligent Transport Systems. 14(1):56-64.\r
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Xi Chen, Yinhai Wang, Yong Wang, Xiaobo Qu, Xiaolei Ma*, 2021. Customized bus route design with pickup and delivery and time windows: Model, case study and comparative analysis. Expert Systems With Applications. 168:114242.\r
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Xi Chen, Yinhai Wang, Xiaolei Ma*, 2021. Integrated Optimization for Commuting Customized Bus Stop Planning, Routing Design, and Timetable Development with Passenger Spatial-Temporal Accessibility. IEEE Transactions on Intelligent Transportation Systems. 22(4):2060-2075.\r
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Xiaohan Liu, Xiaobo Qu, Xiaolei Ma*, 2021. Improving Flex-route Transit Services with Modular Autonomous Vehicles. Transportation Research Part E: Logistics and Transportation Review. 149:102331.\r
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Sen Luan, Xiaolei Ma*, Meng Li, Yunlong Su, Zhenning Dong 2021. Detecting and interpreting nonrecurrent congestion from traffic and social media data. IET Intelligent Transport Systems. 15(12):1461-1477.\r
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Haoyang Yan, Xiaolei Ma*, Ziyuan Pu. 2022. Learning Dynamic and Hierarchical Traffic Spatiotemporal Features with Transformer. IEEE Transactions on Intelligent Transportation Systems. 23(11):2236-22399.\r
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Xiaohan Liu, Xiaobo Qu, Xiaolei Ma*. 2021. Optimizing electric bus charging infrastructure considering power matching and seasonality. Transportation Research Part D: Transport and Environment. 100:103057. 2021.\r
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Lumei Liu, Hui Kong, Tianliang Liu, Xiaolei Ma*, 2022. Mode choice between bus and bike sharing for the last-mile connection to urban rail transit. ASCE Journal of Transportation Engineering, Part A: Systems. 148(5):04022017.\r
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Sen Luan, Ruimin Ke, Zhou Huang, Xiaolei Ma*, 2022. Traffic congestion propagation inference using dynamic Bayesian graph convolution network. Transportation Research Part C: Emerging Technologies. 135(4):103526.\r
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Haoyang Yan, Zhiyong Cui, Xinqiang Chen, Xiaolei Ma*, 2023. Distributed multi-agent deep reinforcement learning for multi-line dynamic bus timetable optimization. IEEE Transactions on Industrial Informatics. 19(1):469-479.\r
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Xiaohan Liu, Xiaoyue Liu, Xingying Zhang, Yirong Zhou, Jianli Chen, Xiaolei Ma*, 2022. Optimal Location Planning of Electric Bus Charging Stations with Integrated Photovoltaic and Energy Storage System. Computer-Aided Civil and Infrastructure Engineering. In press.\r
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Zhuang Dai, Xiaoyue Liu, Honghai Li, Meng Wang, Xiaolei Ma*, 2023. Semi-autonomous bus platooning service optimization with surrogate modeling. Computers & Industrial Engineering. 175:108838.\r
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Haoyang Yangm Yujie Li, Xiaohan Liu, Xi Chen, Xiaolei Ma*, 2023. Learning Individual Travel Pattern by Using Large-Scale Mobile Location Data with Deep Learning. In: Wang, W., Wu, J., Jiang, X., Li, R., Zhang, H. (eds) Green Transportation and Low Carbon Mobility Safety. GITSS 2021. Lecture Notes in Electrical Engineering, vol 944. Springer, Singapore.
2018.1- 2020.12
IEEE Transactions on Intelligent Transportation Systems副主编

2017.1- 2019.12
IET Intelligent Transport Systems副主编

2018.1- 2021.12
Journal of Intelligent Transportation Systems编委

2017.1- 2018.12
世界交通运输大会交通数据与信息学科主席

2016.1- 2020.12
第十一届北京市青年联合会委员