發表論文 |
01. Liu, H.; Lin, C.*; Gong, B.; Wu, D. Extending the Detection Range for Low-channel Roadside LiDAR by Static Background Construction. IEEE Transactions on Geoscience and Remote Sensing 2022, 60: 1-12; https://doi.org/10.1109/TGRS.2022.3155634 (IF: 8.125) 02. Gong, B.; Wang, F.; Lin, C.*; Wu, D. Modeling HDV and CAV Mixed Traffic Flow on a Foggy Two-Lane Highway with Cellular Automata and Game Theory Model. Sustainability 2022, 14(10), 5899. https://doi.org/10.3390/su14105899 (IF: 3.889) 03. Xie, C.; Yu, D.; Lin, C*.; Zheng, X.; Peng, B. Exploring the Spatiotemporal Impacts of the Built Environment on Taxi Ridership Using Multisource Data. Sustainability 2022, 14(10), 6045. https://doi.org/10.3390/su14106045 (IF: 3.889) 04. Lin, C.; Sun, G.; Tan, L.; Gong, B.; Wu, D. Mobile LiDAR Deployment Optimization: Towards Application for Pavement Marking Stained and Worn Detection. Ieee Sens J 2022, 22(4): 3270-3280; https://doi.org/10.1109/JSEN.2022.3140312 （IF: 4.325） 05. Wang, Y.-J.; Wei, R.; Tang, H.; Zhao, J.; Lin, C*. An integrated scheduling framework for synchronizing harvesting and straw returning. Computers and Electronics in Agriculture 2021, 189, 106360； https://doi.org/10.1016/j.compag.2021.106360. （IF: 5.565） 06. Lin, C., H. Zhang, B. Gong and D. Wu. Factors identification and prediction for mind wandering driving using machine learning. Journal of Advanced Transportation 2021 (2021): 4216215；https://doi.org/10.1155/2021/4216215 （IF: 2.419） 07. Lin, C.; Guo, Y.; Li, W.; Liu, H.; Wu, D. An Automatic Lane Marking Detection Method with Low-Density Roadside LiDAR Data. Ieee Sens J 2021, 21(8): 10029-10038; https://doi.org/10.1109/JSEN.2021.3057999 （IF: 3.301） 08. Li, W.; Tan, L.; Lin, C. Modeling driver behavior in the dilemma zone based on stochastic model predictive control. PLoS ONE. 2021 16(2): e0247453. https://doi.org/10.1371/journal.pone.0247453 (IF:3.240) 09. Liu, H.; Lin, C.; Wu, D.; Gong, B. Slice-Based Instance and Semantic Segmentation for Low-Channel Roadside LiDAR Data. Remote Sens. 2020, 12(22), 3830; https://doi.org/10.3390/rs12223830 （IF: 4.509） 10. Lin, C.; Wang, K.; Wu, D.; Gong, B. Passenger Flow Prediction Based on Land Use around Metro Stations: A Case Study. Sustainability 2020, 12(17), 6844; https://doi.org/10.3390/su12176844 （IF: 2.576） 11. Gong, B.; Wei, R.; Wu, D.; Lin, C*. Fleet Management for HDVs and CAVs on Highway in Dense Fog Environment. Journal of Advanced Transportation 2020, 2020(2): 1-21, DOI:10.1155/2020/8842730 （IF: 1.670） 12. Lin, C.; Liu, H.; Wu, D.; Gong, B. Background Point Filtering of Low-Channel Infrastructure-Based LiDAR Data Using a Slice-Based Projection Filtering Algorithm. Sensors 2020, 20(11), 3054; https://doi.org/10.3390/s20113054 (IF: 3.275) 13. Lin, C.; Yu, Y.; Wu, D.; Gong, B. Traffic Flow Catastrophe Border Identification for Urban High-Density Area Based on Cusp Catastrophe Theory: A Case Study under Sudden Fire Disaster. Appl. Sci. 2020, 10(9), 3197; https://doi.org/10.3390/app10093197 (IF: 2.474) 14. Lin, C.; Wu, D.; Liu, H.; Xia, X.; Bhattarai, N. Factor Identification and Prediction for Teen Driver Crash Severity Using Machine Learning: A Case Study. Appl. Sci. 2020, 10(5), 1675; https://doi.org/10.3390/app10051675 (IF: 2.474) 15. Lin, C.; Wang, K.; Wu, D.; Gong, B. Research on Residents’ Travel Behavior under Sudden Fire Disaster Based on Prospect Theory. Sustainability 2020, 12(2), 487; https://doi.org/10.3390/su12020487 （IF: 2.576） 16. Lin, C.; Zhou, X.; Wu, D.; Gong, B. Estimation of Emissions at Signalized Intersections Using an Improved MOVES Model with GPS Data. Int. J. Environ. Res. Public Health 2019, 16(19), 3647; https://doi.org/10.3390/ijerph16193647 （IF: 2.468） 17. Lin, C.; Zhou, X.; Gong, B. Trusted measurement and evaluation for intelligent transportation system products: A case study for traffic signal controller. Adv Mech Eng 2019, 11(3), 1-11, doi:10.1177/1687814019829597 (IF: 1.024) 18. Shang, Q.; Lin, C.*; Yang, Z.; Bing, Q.; Zhou, X. A Hybrid Short-Term Traffic Flow Prediction Model Based on Singular Spectrum Analysis and Kernel Extreme Learning Machine. Plos One 2016, 11(8), 1-12, doi:10.1177/1687814016664654 (IF: 3.057) 19. Shang, Q.; Lin, C.Y.*; Yang, Z.; Bing, Q.; Zhou, X. Short-term traffic flow prediction model using particle swarm optimization-based combined kernel function-least squares support vector machine combined with chaos theory. Adv Mech Eng 2016, 8(8), 1-12. doi: 10.1177/1687814016664654 (IF: 0.640) 20. Lin, C.; Gong, B. Transit-Based Emergency Evacuation with Transit Signal Priority in Sudden-Onset Disaster. Discrete Dyn Nat Soc 2016, 2016, 1-14, http://dx.doi.org/10.1155/2016/3625342 (IF: 0.646) 21. Lin, C.; Gong, B.; Qu, X. Low Emissions and Delay Optimization for an Isolated Signalized Intersection Based on Vehicular Trajectories. Plos One 2015, 10(12), 1-17, doi:10.1371/journal.pone.0146018 (IF: 3.234) 22. Gong, B.; Lin, C*. A Personalized Urban Multicriteria Shortest Path Stochastic Optimization Algorithm. Math Probl Eng 2015, 2015, 1-9, http://dx.doi.org/10.1155/2015/987358 (IF:0.762) 23. Lin, C.; Gong, B.; Yang, Z.; Qu, X. Intersection Group Dynamic Subdivision and Coordination at Intraregional Boundaries in Sudden Disaster. Math Probl Eng 2015, 2015, 1-11, doi: 10.1155/2015/407512 (IF:0.762) 24. Yang, Z.; Bing, Q.; Lin, C.*; Yang, N.; Mei, D. Research on Short-Term Traffic Flow Prediction Method Based on Similarity Search of Time Series. Math Probl Eng 2014, 2014, 1-8, http://dx.doi.org/10.1155/2014/184632 (IF:0.762) 25. 林賜云，謝天承，覃蔚，郭旭，李正浩，鄭臻. 冰雪天氣下交叉口信號配時優化方法. 吉林大學學報(工學版). 2022, 52(10)，0-0. https://doi.org/10.13229/j.cnki.jdxbgxb20210236 26. 商強; 林賜云*; 楊兆升; 邴其春; 邢茹茹. 基于變量選擇和核極限學習機的交通事件檢測. 浙江大學學報(工學版) 2017, 51(7), 1339-1346+1445. 27. 商強; 林賜云*; 楊兆升; 邴其春; 田秀娟; 王樹興. 基于譜聚類與RS-KNN的城市快速路交通狀態判別. 華南理工大學學報(自然科學版) 2017, 45(6), 52-58. 28. 楊慶芳; 韋學武; 林賜云*; 李志林; 劉翔宇. 基于時空貝葉斯模型的行程時間可靠性預測. 華南理工大學學報(自然科學版) 2016,44(4): 115-122. |
