链接:
地址:绍兴市越城区凤林西路135号 网站标识码:08011982号-1 浙ICP备
公安备案号:33060202000049 技术支持:浙江新蓝网络传媒有限公司
▌代表论文
1.Depin Peng, Xingquan Zuo, Jianping Wu. A Kalman Filter Based Information Fusion Method for Traffic Speed Estimation, The 2nd International Conference on Power Electronics and Intelligent Transportation System (PEITS), 2009 :374-379.
2.Jianping Wu, Guo Min, Depin Peng. Simulation Study of Beijing Olympic Road Network. TS World Congress 2010.
3.Depin Peng, Wu Jianping, Wang Chunlu, and Zuo Xingquan. A Robust Kalman Filter based Data Fusion Method for Traffic Speed Estimation, Seventh International Conference on Traffic and Transportation Studies,2010:937-947.
4.郭敏, 彭德品, 吴建平, 王天骄. 中英典型交叉口通行能力对比分析及应用. 交通运输系统工程与信息,Vol.11, No.6. 2011:193-199.
5.Peng Depin, Wu Jianping and Gao Lianxiong. The Comparison Research of Capacity and Saturation Flow between China and UK, Information Technology Journal, Vol 11, Issue 4. 2012:528-531.
6.Youli Ren, Depin Peng, Jianping Wu, and Yuan Zhou. The Research and Application of Multi-resource Heterogeneous Data Fusion on Dynamic Traffic Routing System. The IEEE first International Conference on Cognitive Systems and Information Processing, 2014.
7.Huasuo Ru, Depin Peng, Lianxiong Gao,and Yuan Zhou. Short-term Traffic State Forecasting for Dynamic Traffic Routing. Advanced Engineering Forum Vols. 6-7 (2012) : 506-512.
8.Huasuo Ru, Depin Peng, The Assessment Index System for Traffic Simulation Study in China, Applied Mechanics and Materials Vols. 253-255 (2013):1650-1661.
9.Yizhe Zhou,Depin Peng. A New Model of Vehicular Ad Hoc Networks based on Artificial Immune Theory. IJCSE .2018
10.茹华所,何良君,彭德品. 城市交通组织管理仿真平台研究与应用一一-以北京为例.重庆交通大学学报(自然科学版).2014 Vol. 33 (1): 119-124.
11.PENG De-pin, WU Jian-ping, SU Hong-fan. Feedback Gating Signal Control System based on Online Simulation[C]. 2020中国仿真大会:271-279.
12.李晓赫,吴建平,彭德品. 城轨站点高峰小时客流预测控制方法[J]. 系统仿真学报. 2021,33(12): 2952-2958.
13.LI Duo-wei, WU Jian-ping, PENG De-pin. Online Traffic Accident Spatial-Temporal Post-Impact Prediction Model on Highways Based on Spiking Neural Networks[J]. Journal of Advanced Transportation. Volume 2021,2021:1-20.
▌专利软著
[授权发明专利]
1.基于交通仿真的信号控制系统及方法(排名 2/4),中国发明专利授权号CN103456180A