RUI Yikang
About
PhD, associate professor. Serving as deputy director of the Department of Intelligent Transportation at the School of Transportation, assistant dean of the Joint Research Institute on Internet of Mobility between Southeast University and University of Wisconsin-Madison.
In research fields of driving map construction, vehicle-road collaborative perception, collaborative planning and decision-making, chaired multiple national and provincial scientific research projects. Published over 20 SCI indexed papers as the first author or corresponding author. Received the Special Prize of the 2022 Science and Technology Progress Award from the China Highway Society. Writing 8 standards as editor in chief or co-editor.
Education
09, 2008 – 05, 2013 | Ph.D., Geoinformatics, Royal Institute of Technology, Sweden |
09, 2005 – 06, 2008 | M.Sc., Geographic Information Systems, Nanjing University, China |
09, 2001 – 06, 2005 | B.Sc., Computer Technology and Science, Nanjing Agricultural University, China |
Work Experience
03, 2017 – NOW | Southeast University, China | Associate Professor |
10, 2013 – 02, 2017 | Nanjing University, China | Postdoc |
Contact Information
Mobile Phone: +86+13621590617
E-mail: 101012189@seu.edu.cn
Address: SuoJie no.169, Jianye District, Nanjing, China
Research Projects
National Natural Science Foundation of China, General project, No. 41971342. Spatio-temporal integration modeling of dynamic high-definition map for cooperative vehicle-infrastructure systems, 2020 – 2023, (PI).
The National Key Research and Development Program of China, No. 2019YFB1600100. Integration and application of cooperative vehicle-infrastructure systems on expressway, 2020 – 2022, sub-topic, (PI).
Key Research and Development Program of Shandong Province. No. 2020CXGC010118. Research and application of key technologies of cooperative vehicle-infrastructure systems, 2021 - 2023, topic, (PI).
“Dual initiative” project of Jiangsu Province. Study on regional road network diversion based on vehicle trajectory data, 2019-2020, (PI).
National Natural Science Foundation of China, No. 41401450, Urban expansion simulation research integrating multi-agent and complex network technology, 2015-2017, (PI).
General Financial Grant from the China Postdoctoral Science Foundation, No. 2015M571731, Research on analysis and decision support of urban chain retail industry based on road network constraints, 2015-2016, (PI).
Scientific Research Foundation for the Returned Overseas Chinese Scholars, State Education Ministry, 2015-2016, (PI).
Selected Journal Publications
Rui, Y., Gong, Y., Zhao, Y., Luo, K., Lu, W. (2024). Predicting Traffic Flow Parameters for Sustainable Highway Management: An Attention-Based EMD–BiLSTM Approach. Sustainability, 16, 190.
Lu, W., Yi, Z., Gu, Y., Rui, Y.*, Ran, B. (2023). TD3LVSL: A lane-level variable speed limit approach based on twin delayed deep deterministic policy gradient in a connected automated vehicle environment. Transportation Research Part C: Emerging Technologies, 153, 104221.
Zhao, Y., Lu, W., Rui, Y.*, Ran, B. (2023). Classification of the Traffic Status Subcategory with ETC Gantry Data: An Improved Support Tensor Machine Approach. Journal of Advanced Transportation, 2765937.
Lu, W; Rui, Y.*; Ran, B. (2022). Lane-level traffic speed forecasting: a novel mixed deep learning model. IEEE Transactions on Intelligent Transportation Systems, 23(4): 3601-3612.
Lu, W., Yi, Z., Liu, W., Gu, Y., Rui, Y.* and Ran, B. (2020). Efficient deep learning based method for multi-lane speed forecasting: a case study in beijing. IET Intelligent Transport Systems. 14(14), 2073-2082.
Lu, W., Rui, Y.*, Yi, Z., Ran, B., and Gu, Y. (2020). A hybrid model for lane-level traffic flow forecasting based on complete ensemble empirical mode decomposition and extreme gradient boosting. IEEE Access, 8: 42042.
Khalid, S., Shoaib, F., Qian, T., Rui, Y., Bari, A. I., & Sajjad, M., et al. (2018). Network constrained spatio-temporal hotspot mapping of crimes in faisalabad. Applied Spatial Analysis & Policy, 11(3), 599-622.
Rui, Y., Yang, Z., Qian, T., Khalid, S., Xia, N. and Wang, J. *, (2016). Network-constrained and category-based point pattern analysis for Suguo retail stores in Nanjing, China. International Journal of Geographical Information Science (IJGIS). DOI: 10.1080/ 13658816.2015.1080829.
Rui, Y., Huang, H., Lu, M., Wang, B., and Wang, J.*, (2016) A Comparative Analysis of the distributions of KFC and McDonald’s Outlets in China. ISPRS International Journal of Geo-Information. 5(3), 27-37.
Ni, J., Qian, T., Xi, C., Rui, Y., and Wang, J. *, (2016). Spatial Distribution Characteristics of Healthcare Facilities in Nanjing: Network Point Pattern Analysis and Correlation Analysis. International Journal of Environmental Research and Public Health. 13(8), 833-842.
Rui, Y., Shen, D., Khalida, S., Yang, Z., and Wang, J.*, (2015). GIS-based emergency response system for sudden water pollution accidents. Physics and Chemistry of the Earth. 79-82, 115-121.
Rui, Y.* and Ban, Y., (2014). Exploring the relationship between street centrality and land use in Stockholm. International Journal of Geographical Information Science (IJGIS), 28:7, 1425-1438.
Rui, Y.*, Wu, W., Shen, D. and Wang, J., (2014). Influence of the nearest-neighbor connections on shaping weighted evolving network. Chaos, Solitons and Fractals, 69, 172-178.