沈永俊 - 东南大学

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沈永俊博士博士研究生导师收藏完善纠错
东南大学交通学院
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个人简介

沈永俊，男，博士，研究员，博士研究生导师，比利时哈瑟尔特大学（Hasselt University）交通运输科学学院客座教授。2004年毕业于山东大学信息与计算科学专业，获理学学士学位。2007年毕业于华东理工大学控制理论与控制工程专业，获工学硕士学位。2012年毕业于比利时哈瑟尔特大学交通运输科学专业，获交通运输科学博士学位。之后留校在交通运输研究所开展博士后研究。2014年起担任交通运输科学学院助理教授。2017年回国到东南大学交通学院工作。先后主持和参与了欧盟第七个框架规划、比利时弗莱芒区科学基金、比利时弗莱芒区技术创新基金、国家自然科学基金、科技部国家重点研发计划等多项国内外交通运输科研项目和国际交流合作项目。在交通运输、数据挖掘、人工智能等领域的国内外知名国际学术期刊如Transportation Research Part C, Accident Analysis & Prevention等和国际学术会议发表论文近百篇，参编英文专著1部，受邀撰写英文专著章节5篇。近年来担任Transportation Research Part D等多个国际学术期刊的编委和客座编委。在多个国际学术会议如国际FLINS大会、国际智能系统与知识工程大会（ISKE）、世界交通运输大会（WTC）等长期担任学术委员会委员、宣传主席、分会场主席等职务。连续3年受邀在国际绿色智能交通系统与安全大会（GITSS）作大会特邀报告。为20多种国际知名学术期刊担任审稿人。作为编委编辑出版学术专刊4部（SCI检索）、会议论文集1部（EI/ISTP检索）。人才需求欢迎有一定统计学、心理学、信息科学、模拟驾驶、虚拟现实、机器学习等方面基础，对科研有浓厚兴趣，勤奋踏实的同学报考硕士、博士研究生。联系方式地址：南京市江宁区东南大学路2号东南大学九龙湖校区交通学院楼1005室承担科研项目南京市留学人员科技创新择优资助A类重点项目，基于移动终端的危险驾驶行为智能分析与主动干预研究，2020-2020，主持国家重点研发计划”政府间国际科技创新合作“重点专项，多源信息环境下道路交通事故应急处理关键技术与设备，2019-2021，子任务主持国家自然科学基金青年基金项目，基于基准化分析方法的驾驶行为风险指数模型研究，2018-2020，主持比利时弗莱芒区科学基金（FWO）项目，Strategic analysis of road safety in China，2015-2015，主持比利时弗莱芒区技术创新基金（IWT-KMO）项目，Digital Driving Pass: A multidimensional measurement system of driving performance，2014-2015，合作主持比利时弗莱芒区技术创新基金（IWT）项目，Flemish research project: Urban logistics and mobility，2014-2016，项目骨干比利时哈瑟尔特大学特别研究基金（UHasselt-BOF）项目，Benchmarking road safety performance in China and Europe，2014-2014，主持比利时哈瑟尔特大学特别研究基金（UHasselt-BOF）项目，A methodologic framework for multicriteria decision-making in the field of traffic safety，2012-2016，合作主持欧盟第七个框架规划（EU FP7）项目，DaCoTA: Road safety data collection, transfer and analysis，2010-2012，项目骨干比利时哈瑟尔特大学特别研究基金（UHasselt-BOF）项目，Measuring road safety impacts of traffic policy measures using travel demand models，2008-2012，项目骨干参编专著、专刊及论文集 Optimization Problems in Economics and Finance. Series on Advanced Economic Issues, Vol. 41. pp. 1-130. Ostrava: VSB-TU Ostrava. Electromobility for green transportation systems and sustainable environment. Special Issue of Transportation Research Part D: Transport and Environment, Vol. 66, 2019, pp. 1-104. (SSCI & SCI & EI) Advances in Mobility Theories, Methodologies, and Applications 2016. Special Issue of Advances in Mechanical Engineering, 2016. (SCI) Advances in Mobility Theories, Methodologies, and Applications 2015. Special Issue of Advances in Mechanical Engineering, 2015. (SCI) Discrete Dynamics in Transportation System 2014. Special Issue of Discrete Dynamics in Nature and Society. Vol. 2015, 2015. (SCI) Proceeding of the 6th International Conference on Green Intelligent Transportation System and Safety (GITSS’15). Procedia Engineering, Vol. 137, 2016, pp.1-875. (EI & ISTP) Dr. Yongjun Shen is a professor of the School of Transportation at Southeast University in China, and a guest professor of the School of Transportation Sciences at Hasselt University in Belgium. He received his Ph.D in Transportation Sciences from Transportation Research Institute (IMOB) of Hasselt University in 2012, and continued to work in Hasselt University as a postdoc researcher and later an assistant professor. From October 2017, he started to work at the School of Transportation of Southeast University. Dr. Shen’s current research interests include traffic and transportation safety, behavior-related big data, naturalistic and simulated driving, smart transportation, transportation sustainability, etc. During the past years, Dr. Shen has participated in a number of EU, Flemish, and Chinese research projects, and has published around 100 articles in scientific peer-reviewed journals, books, and conferences, such as Transportation Research Part C, Accident Analysis and Prevention, etc. He has served as a guest editor of several international journals, such as Transportation Research Part D, and as an international program committee member of several international conference series, such as FLINS, ISKE, and WTC. Any interested Ph.D applicants with a Master degree in Transportation Engineering or relevant areas are encouraged to apply for the international Ph.D program in Southeast University at Nanjing, China. If you have any queries, please contact Dr. Shen for more information.

研究领域

长期从事交通安全、交通行为大数据、模拟驾驶与自然驾驶，智慧交通运输，交通可持续发展等领域的科研工作。

近期论文

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Usama, M., Shen, Y., Zahoor, O. (2019). Towards an energy efficient solution for bike-sharing rebalancing problems: A battery electric vehicle scenario, Energies, Vol. 12, No. 3, pp. 1-21. Shah, S.A.R., Ahmad, N., Shen, Y., Kamal, M.A., Basheer, M.A. & Brijs, T. (2019).Relationship between road traffic features and accidents: An application of two-stage decision making approach for transportation engineers, Journal of Safety Research, Vol. 69, pp. 201-215. Wang, W., Wets, G., & Shen, Y. (2019). Electromobility for green transportation systems and sustainable environment. Transportation Research Part D: Transport and Environment, Vol. 66, pp. 1-2. Shen, Y. (2018), Developing a comprehensive road safety index: A revisit of the SUNflowerNext study, Transportation Research Record: Journal of the Transportation Research Board. Vol. 2672, No. 38, pp. 46-57. Shah, S.A.R., Ahmad, N., Shen, Y., Pirdavani, A., Basheer, M.A. & Brijs, T. (2018). Road safety risk assessment: An analysis of transport policy and management for low-, middle-, and high-income Asian countries. Sustainability, Vol. 10, 1-30. Bao, Q., Kochan, B., Shen, Y., Creemers, L., Bellemans, T., Janssens, D. & Wets, G. (2018). Applying FEATHERS for travel demand analysis: Model considerations. Applied Sciences, Vol. 8, 886, pp. 1-12. Shah, S.A.R., Brijs, T., Ahmad, N., Pirdavani, A., Shen, Y. & Basheer, M.A. (2017). Road safety risk evaluation using GIS-based data envelopment analysis-artificial neural networks approach. Applied Sciences, Vol. 7, No. 9, 886, pp. 1-19. Behnood, H.R., Ayati, E., Brijs, T., Neghab, M.P. & Shen, Y. (2017). A fuzzy decision support system in road safety planning. Proceedings of the Institution of Civil Engineers-Transport, Vol. 170, No. 5, pp. 305-317. Bao, Q., Kochan, B., Shen, Y., Bellemans, T., Janssens, D. & Wets, G. (2016). Activity-based travel demand modeling framework FEATHERS: Sensitivity analysis with decision trees. Transportation Research Record: Journal of the Transportation Research Board, No. 2564, pp. 89-99. Li, T., Ruan, D., Shen, Y., Hermans, E. & Wets, G. (2016). A new weighing approach based on rough sets theory and granular computing for road safety indicator analysis. Computational Intelligence, Vol. 32, No. 4, pp. 517-534. Shen, Y., Hermans, E., Bao, Q., Brijs, T., Wets, G. & Wang, W. (2015). International benchmarking of road safety: State of the art. Transportation Research Part C: Emerging Technologies, Vol. 50, pp. 37-50. Shen, Y., Hermans, E., Bao, Q., Brijs, T. & Wets, G. (2015). Serious injuries: an additional indicator to fatalities for road safety benchmarking. Traffic Injury Prevention, Vol. 16, No. 3, pp. 246-253. Bastos, J.T., Shen, Y., Hermans, E., Brijs, T., Wets, G. & Ferraz, A.C.P. (2015). Traffic fatality indicators in Brazil: State diagnosis based on data envelopment analysis research. Accident Analysis & Prevention, Vol. 81, pp. 61-73. Bastos, J.T., Shen, Y., Hermans, E., Brijs, T., Wets, G. & Ferraz, A.C.P. (2015). Bootstrapping DEA scores for road safety strategic analysis in Brazil. International Journal of Computational Intelligence Systems, Vol. 8, pp. 29-38. Wang, W., Wets, G., Bubb, H., & Shen, Y. (2015). Discrete dynamics in transportation system 2014. Discrete Dynamics in Nature and Society. Vol. 2015, pp. 1-3. Bao, Q., Shen, Y., Creemers, L., Kochan, B., Bellemans, T., Janssens, D. & Wets, G. (2015). Investigating the minimum size of study area for an activity-based travel demand forecasting model. Mathematical Problems in Engineering, Vol. 2015, Article ID 162632, pp. 1-9. Bao, Q., Kochan, B., Bellemans, T., Shen, Y., Creemers, L., Janssens, D. & Wets, G. (2015). Travel demand forecasting using activity-based modeling framework FEATHERS: An extension. International Journal of Intelligent Systems, Vol. 30, No. 8, pp. 948-962. Babaee, S., Shen, Y., Hermans, E., Wets, G., Brijs, T. & Ariën, C. (2014). Combining driving performance information in an index score: A simulated curvetaking experiment. Transportation Research Record: Journal of the Transportation Research Board, No. 2434, pp. 44-51. Shen, Y., Hermans, E., Bao, Q., Brijs, T. & Wets, G. (2013). Road safety development in Europe: A decade of changes (2001-2010). Accident Analysis & Prevention, Vol. 60, pp. 85-94. Shen, Y., Hermans, E., Brijs, T. & Wets, G. (2013). Data envelopment analysis for composite indicators: A multiple layer model. Social Indicators Research, Vol. 114, No. 2, pp. 739-756. Shen, Y., Hermans, E., Brijs, T., Wets, G. & Vanhoof, K. (2012). Road safety risk evaluation and target setting using data envelopment analysis and its extensions. Accident Analysis & Prevention, Vol. 48, pp. 430-441. Bao, Q., Ruan, D., Shen Y., Hermans, E. & Janssens, D. (2012). Improved hierarchical fuzzy TOPSIS for road safety performance evaluation. Knowledge-Based Systems, Vol. 32, pp. 84-90. Shen, Y., Hermans, E., Ruan, D., Wets, G., Brijs, T. & Vanhoof, K. (2011). A generalized multiple layer data envelopment analysis model for hierarchical structure assessment: A case study in road safety performance evaluation. Expert Systems with Applications, Vol. 38, No. 12, pp. 15262-15272. Shen, Y., Ruan, D., Hermans, E., Brijs, T., Wets, G. & Vanhoof, K. (2011). Sustainable road transport in the European Union: Changes in undesirable impacts. Transportation Research Record: Journal of the Transportation Research Board, No. 2242, pp. 37-44. Shen, Y., Ruan, D., Hermans, E., Brijs, T., Wets, G. & Vanhoof, K. (2011). Modeling qualitative data in data envelopment analysis for composite indicators. International Journal of Systems Assurance Engineering and Management, Vol. 2, No. 1, pp. 21-30. Shen, Y., Li, T., Hermans, E., Ruan, D., Wets, G., Vanhoof, K. & Brijs, T. (2010). A hybrid system of neural networks and rough sets for road safety performance indicators. Soft Computing, Vol. 14, No. 12, pp. 1255-1263. Shen, Y., Hermans, E., Ruan, D., Wets, G., Brijs, T. & Vanhoof, K. (2010). Evaluating trauma management performance in Europe: A multiple-layer data envelopment analysis model. Transportation Research Record: Journal of the Transportation Research Board, Vol. 2, No. 2148, pp. 69-75. 撰写著作章节 Shen, Y. & Hermans, E. (2016). Developing a Sustainable Urban Mobility Index: Methodological Steps. In: Jeremic, V., Radojicic, Z. & Dobrota, M. (Eds.), Emerging Trends in the Development and Application of Composite Indicators. pp. 20-37. IGI Global. Babaee, S., Shen. Y., Hermans, E., Toloo, M. (2015). Assessing Older Drivers’ Performance: A Multiple Layer DEA Application. In Hanclova, J. et al. (Eds.), Optimization Problems in Economics and Finance. Series on Advanced Economic Issues, Vol. 41. pp. 29-55. VSB-TU Ostrava. Shen, Y., Hermans, E., Brijs, T. & Wets, G. (2014). Fuzzy Data Envelopment Analysis in Composite Indicator Construction. In: Emrouznejad A. & Tavana M. (Eds.), Performance Measurement with Fuzzy Data Envelopment Analysis, Studies in Fuzziness and Soft Computing 309, pp. 89-100, Springer-Verlag Berlin Heidelberg. Shen, Y., Hermans, E., Brijs, T., Wets, G. & Vanhoof, K. (2013). Investigating the Progress towards Sustainable Road Transport in Europe: Lessons Learned from a DEA-based Malmquist Productivity Index. In: Wang, W. & Wets, G. (Eds.), Computational Intelligence for Traffic and Mobility, Atlantis Computational Intelligence Systems, Vol. 8, pp. 223-242, Atlantis & Springer. Bao, Q., Ruan, D., Shen Y., Hermans, E. & Janssens, D. (2012). TOPSIS and its Extensions: Applications for Road Safety Performance Evaluation. In: Kahraman, C. (Ed.), Computational Intelligence Applications in Industrial Engineering, Atlantis Computational Intelligence Systems, Vol. 6, pp. 109-130, Atlantis & Springer.Usama, M., Shen, Y., Zahoor, O. (2019). Towards an energy efficient solution for bike-sharing rebalancing problems: A battery electric vehicle scenario, Energies, Vol. 12, No. 3, pp. 1-21. Shah, S.A.R., Ahmad, N., Shen, Y., Kamal, M.A., Basheer, M.A. & Brijs, T. (2019).Relationship between road traffic features and accidents: An application of two-stage decision making approach for transportation engineers, Journal of Safety Research, Vol. 69, pp. 201-215. Wang, W., Wets, G., & Shen, Y. (2019). Electromobility for green transportation systems and sustainable environment. Transportation Research Part D: Transport and Environment, Vol. 66, pp. 1-2. Shen, Y. (2018), Developing a comprehensive road safety index: A revisit of the SUNflowerNext study, Transportation Research Record: Journal of the Transportation Research Board. Vol. 2672, No. 38, pp. 46-57. Shah, S.A.R., Ahmad, N., Shen, Y., Pirdavani, A., Basheer, M.A. & Brijs, T. (2018). Road safety risk assessment: An analysis of transport policy and management for low-, middle-, and high-income Asian countries. Sustainability, Vol. 10, 1-30. Bao, Q., Kochan, B., Shen, Y., Creemers, L., Bellemans, T., Janssens, D. & Wets, G. (2018). Applying FEATHERS for travel demand analysis: Model considerations. Applied Sciences, Vol. 8, 886, pp. 1-12. Shah, S.A.R., Brijs, T., Ahmad, N., Pirdavani, A., Shen, Y. & Basheer, M.A. (2017). Road safety risk evaluation using GIS-based data envelopment analysis-artificial neural networks approach. Applied Sciences, Vol. 7, No. 9, 886, pp. 1-19. Behnood, H.R., Ayati, E., Brijs, T., Neghab, M.P. & Shen, Y. (2017). A fuzzy decision support system in road safety planning. Proceedings of the Institution of Civil Engineers-Transport, Vol. 170, No. 5, pp. 305-317. Bao, Q., Kochan, B., Shen, Y., Bellemans, T., Janssens, D. & Wets, G. (2016). Activity-based travel demand modeling framework FEATHERS: Sensitivity analysis with decision trees. Transportation Research Record: Journal of the Transportation Research Board, No. 2564, pp. 89-99. Li, T., Ruan, D., Shen, Y., Hermans, E. & Wets, G. (2016). A new weighing approach based on rough sets theory and granular computing for road safety indicator analysis. Computational Intelligence, Vol. 32, No. 4, pp. 517-534. Shen, Y., Hermans, E., Bao, Q., Brijs, T., Wets, G. & Wang, W. (2015). International benchmarking of road safety: State of the art. Transportation Research Part C: Emerging Technologies, Vol. 50, pp. 37-50. Shen, Y., Hermans, E., Bao, Q., Brijs, T. & Wets, G. (2015). Serious injuries: an additional indicator to fatalities for road safety benchmarking. Traffic Injury Prevention, Vol. 16, No. 3, pp. 246-253. Bastos, J.T., Shen, Y., Hermans, E., Brijs, T., Wets, G. & Ferraz, A.C.P. (2015). Traffic fatality indicators in Brazil: State diagnosis based on data envelopment analysis research. Accident Analysis & Prevention, Vol. 81, pp. 61-73. Bastos, J.T., Shen, Y., Hermans, E., Brijs, T., Wets, G. & Ferraz, A.C.P. (2015). Bootstrapping DEA scores for road safety strategic analysis in Brazil. International Journal of Computational Intelligence Systems, Vol. 8, pp. 29-38. Wang, W., Wets, G., Bubb, H., & Shen, Y. (2015). Discrete dynamics in transportation system 2014. Discrete Dynamics in Nature and Society. Vol. 2015, pp. 1-3. Bao, Q., Shen, Y., Creemers, L., Kochan, B., Bellemans, T., Janssens, D. & Wets, G. (2015). Investigating the minimum size of study area for an activity-based travel demand forecasting model. Mathematical Problems in Engineering, Vol. 2015, Article ID 162632, pp. 1-9. Bao, Q., Kochan, B., Bellemans, T., Shen, Y., Creemers, L., Janssens, D. & Wets, G. (2015). Travel demand forecasting using activity-based modeling framework FEATHERS: An extension. International Journal of Intelligent Systems, Vol. 30, No. 8, pp. 948-962. Babaee, S., Shen, Y., Hermans, E., Wets, G., Brijs, T. & Ariën, C. (2014). Combining driving performance information in an index score: A simulated curvetaking experiment. Transportation Research Record: Journal of the Transportation Research Board, No. 2434, pp. 44-51. Shen, Y., Hermans, E., Bao, Q., Brijs, T. & Wets, G. (2013). Road safety development in Europe: A decade of changes (2001-2010). Accident Analysis & Prevention, Vol. 60, pp. 85-94. Shen, Y., Hermans, E., Brijs, T. & Wets, G. (2013). Data envelopment analysis for composite indicators: A multiple layer model. Social Indicators Research, Vol. 114, No. 2, pp. 739-756. Shen, Y., Hermans, E., Brijs, T., Wets, G. & Vanhoof, K. (2012). Road safety risk evaluation and target setting using data envelopment analysis and its extensions. Accident Analysis & Prevention, Vol. 48, pp. 430-441. Bao, Q., Ruan, D., Shen Y., Hermans, E. & Janssens, D. (2012). Improved hierarchical fuzzy TOPSIS for road safety performance evaluation. Knowledge-Based Systems, Vol. 32, pp. 84-90. Shen, Y., Hermans, E., Ruan, D., Wets, G., Brijs, T. & Vanhoof, K. (2011). A generalized multiple layer data envelopment analysis model for hierarchical structure assessment: A case study in road safety performance evaluation. Expert Systems with Applications, Vol. 38, No. 12, pp. 15262-15272. Shen, Y., Ruan, D., Hermans, E., Brijs, T., Wets, G. & Vanhoof, K. (2011). Sustainable road transport in the European Union: Changes in undesirable impacts. Transportation Research Record: Journal of the Transportation Research Board, No. 2242, pp. 37-44. Shen, Y., Ruan, D., Hermans, E., Brijs, T., Wets, G. & Vanhoof, K. (2011). Modeling qualitative data in data envelopment analysis for composite indicators. International Journal of Systems Assurance Engineering and Management, Vol. 2, No. 1, pp. 21-30. Shen, Y., Li, T., Hermans, E., Ruan, D., Wets, G., Vanhoof, K. & Brijs, T. (2010). A hybrid system of neural networks and rough sets for road safety performance indicators. Soft Computing, Vol. 14, No. 12, pp. 1255-1263. Shen, Y., Hermans, E., Ruan, D., Wets, G., Brijs, T. & Vanhoof, K. (2010). Evaluating trauma management performance in Europe: A multiple-layer data envelopment analysis model. Transportation Research Record: Journal of the Transportation Research Board, Vol. 2, No. 2148, pp. 69-75.

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