▌代表論文
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, 吳建平, 王天驕. 中英典型交叉口通行能力對(duì)比分析及應(yīng)用. 交通運(yùn)輸系統(tǒng)工程與信息，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.茹華所，何良君，彭德品. 城市交通組織管理仿真平臺(tái)研究與應(yīng)用一一-以北京為例.重慶交通大學(xué)學(xué)報(bào)（自然科學(xué)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中國(guó)仿真大會(huì):271-279.
12.李曉赫，吳建平，彭德品. 城軌站點(diǎn)高峰小時(shí)客流預(yù)測(cè)控制方法[J]. 系統(tǒng)仿真學(xué)報(bào). 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.
▌專(zhuān)利軟著
[授權(quán)發(fā)明專(zhuān)利]
1.基于交通仿真的信號(hào)控制系統(tǒng)及方法(排名 2/4)，中國(guó)發(fā)明專(zhuān)利授權(quán)號(hào)CN103456180A
