基本信息

吕宜生    中国科学院自动化研究所复杂系统管理与控制国家重点实验室研究员、博导
电子邮件: yisheng.lv@ia.ac.cn
通信地址: 北京市海淀区中关村东路95号智能化大厦1111房间
邮政编码: 100190

研究领域

(1) 复杂系统,智能控制,平行智能

(2)无人驾驶,智能交通

(3)人类移动性,城市模拟

(4)机器学习,深度强化学习

招生信息

欢迎攻读硕士学位、博士学位、博士后或实习生的同学联系我。

招访问学生、联合培养学生、实习生,要求数学和计算机编程基础好,方向为人工智能与无人驾驶/智能交通/城市模拟

教育背景

2007-09--2010-07   中国科学院自动化研究所   博士
2005-09--2007-07   哈尔滨工业大学   硕士
2001-09--2005-07   哈尔滨工业大学   本科

工作经历

2010-07至今,中国科学院自动化研究所复杂系统管理与控制国家重点实验室,助理研究员、副研究员、研究员
2014-02--2015--02,Northwestern University,Visiting Scholar

学术兼职

IEEE Intelligent Transportation Systems Magazine主编

IEEE Transactions on Intelligent Transportation Systems编委

IEEE Transactions on Intelligent Vehicles编委

自动化学报编委

智能科学与技术学报编委

中国自动化学会综合智能交通专委会主任

IFAC Technical Committee on Transportation Systems, Member



获奖情况

科研奖:

2023IEEE智能交通系统杰出研究奖

2020中国自动化学会自然科学一等奖

2018中国自动化学会科学技术进步奖特等奖

2019北京市科学技术进步奖二等奖

2015 IEEE智能交通杰出应用奖


论文奖:

2023 IEEE International Conference on Digital Twins and Parallel Intelligence最佳论文奖

2022 IEEE International Conference on Intelligent Transportation Systems最佳学生论文

2022 IEEE International Conference on Intelligent Transportation Systems最佳论文奖

2017-2020 ITSM Best Paper High Commendation Award,IEEE Intelligent Transportation Systems Magazine

2020 IFAC Workshop on Cyber-Physical and Human Systems最佳研究论文

2018 IEEE智能交通系统汇刊The George N. Saridis Best Transactions Paper Award

2018IEEE/CAA Journal of Automatica Sinica钱学森论文奖

2018《自动化学报》优秀论文

2013 IEEE International Conference on Service Operations and Logistics, and Informatics最佳学生论文


服务奖:

2021 The Outstanding Associate Editor Award of IEEE Intelligent Transportation Systems Magazine




学术论文

-Refereed Journal Paper

[1] Yisheng Lv, Yanjie Duan, Wenwen Kang, Zhengxi Li, Fei-Yue Wang, "Traffic Flow Prediction with Big Data: A Deep Learning Approach," in IEEE Transactions on Intelligent Transportation Systems, vol. 16, no. 2, pp. 865-873, April 2015, doi: 10.1109/TITS.2014.2345663.

[2] Yisheng Lv, Xiqiao Zhang, Wenwen Kang, Yanjie Duan, "Managing Emergency Traffic Evacuation with a Partially Random Destination Allocation Strategy: A Computational-Experiment-Based Optimization Approach," in IEEE Transactions on Intelligent Transportation Systems, vol. 16, no. 4, pp. 2182-2191, Aug. 2015, doi: 10.1109/TITS.2015.2399852.

[3] Yunhu Huang, Dewang Chen, Wendi Zhao, Yisheng Lv, Shiping Wang. "Deep Patch Learning Algorithms with High Interpretability for Regression Problems," in International Journal of Intelligent Systems, vol. 37, no. 11, pp. 8239-8276, 2022.

[4] Wenbo Du, Shenwen Chen, Haitao Li, Zhishuai Li, Xianbin Cao*, Yisheng Lv*, "Airport Capacity Prediction with Multisource Features: A Temporal Deep Learning Approach," in IEEE Transactions on Intelligent Transportation Systems, 2022, doi: 10.1109/TITS.2022.3213029.

[5] Kunhua Liu, Leixin Li, Yisheng Lv, Dongpu Cao, Zhongmin Liu, Long Chen, "Parallel Intelligence for Smart Mobility in Cyberphysical Social System-Defined Metaverses: A Report on the International Parallel Driving Alliance," in IEEE Intelligent Transportation Systems Magazine, vol. 14, no. 6, pp. 18-25, Nov.-Dec. 2022, doi: 10.1109/MITS.2022.3202825.

[6] Yunhao Nie, Bo Lu, Qiyuan Chen, Qinghai Miao, Yisheng Lv, "SynPoses: Generating Virtual Dataset for Pedestrian Detection in Corner Cases," in IEEE Journal of Radio Frequency Identification, 2022, doi: 10.1109/JRFID.2022.3211285.

[7] Wenbo Du, Biyue Li, Jun Chen, Yisheng Lv, Yumeng Li, "A Spatiotemporal Hybrid Model for Airspace Complexity Prediction," in IEEE Intelligent Transportation Systems Magazine, 2022, doi: 10.1109/MITS.2022.3204099.

[8] Chen Zhao, Yisheng Lv, Junchen Jin, Yonglin Tian, Jiangong Wang, Fei-Yue Wang, "DeCAST in TransVerse for Parallel Intelligent Transportation Systems and Smart Cities: Three Decades and Beyond," in IEEE Intelligent Transportation Systems Magazine, vol. 14, no. 6, pp. 6-17, Nov.-Dec. 2022, doi: 10.1109/MITS.2022.3199557.

[9] Qiyuan Chen, Zebing Wei, Xiao Wang, Lingxi Li, and Yisheng Lv*, "Social Relation and Physical Lane Aggregator: Integrating Social and Physical Features for Multimodal Motion Prediction," in Journal of Intelligent and Connected Vehicles, vol. 5, no. 3, pp. 302-308, 2022, doi: 10.1108/JICV-07-2022-0028

[10] Jinhao Xi, Fenghua Zhu, Peijun Ye, Yisheng Lv, Haina Tang, Fei-Yue Wang, "HMDRL: Hierarchical Mixed Deep Reinforcement Learning to Balance Vehicle Supply and Demand," in IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 11, pp. 21861-21872, Nov. 2022, doi: 10.1109/TITS.2022.3191752.

[11] Peijun Ye, Yuanyuan Chen, Fenghua Zhu, Yisheng Lv*, Wanze Lu, Fei-Yue Wang, "Bridging the Micro and Macro: Calibration of Agent-Based Model Using Mean-Field Dynamics," in IEEE Transactions on Cybernetics, vol. 52, no. 11, pp. 11397-11406, Nov. 2022, doi: 10.1109/TCYB.2021.3089712.

[12] Lei Ren, Xiaoyang Fan, Jin Cui, Zhen Shen, Yisheng Lv, Gang Xiong, "A Multi-Agent Reinforcement Learning Method With Route Recorders for Vehicle Routing in Supply Chain Management," in IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 9, pp. 16410-16420, Sept. 2022, doi: 10.1109/TITS.2022.3150151.

[13] Junchen Jin, Dingding Rong, Tong Zhang, Qingyuan Ji, Haifeng Guo, Yisheng Lv, Xiaoliang Ma, Fei-Yue Wang, "A GAN-Based Short-Term Link Traffic Prediction Approach for Urban Road Networks Under a Parallel Learning Framework," in IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 9, pp. 16185-16196, Sept. 2022, doi: 10.1109/TITS.2022.3148358.

[14] Zhishuai Li, Gang Xiong, Zebing Wei, Yu Zhang, Meng Zheng, Xiaoli Liu, Sasu Tarkoma, Min Huang*, Yisheng Lv*, Chuheng Wu, "Trip Purposes Mining From Mobile Signaling Data," in IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 8, pp. 13190-13202, Aug. 2022, doi: 10.1109/TITS.2021.3121551.

[15] Wei Zhang, Fenghua Zhu*, Yisheng Lv*, Chang Tan, Wen Liu, XinZhang, Fei-Yue Wang, "AdapGL: An Adaptive Graph Learning Algorithm for Traffic Prediction based on Spatiotemporal Neural Networks", in Transportation Research Part C: Emerging Technologies, vol. 139, p. 103659, 2022.

[16] Zhen Shen, Can Luo, Xisong Dong, Wanze Lu, Yisheng Lv, Gang Xiong, Fei-Yue Wang, "Two-Level Energy Control Strategy Based on ADP and A-ECMS for Series Hybrid Electric Vehicles," in IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 8, pp. 13178-13189, Aug. 2022, doi: 10.1109/TITS.2021.3121550.

[17] Yan Ma, Wenbo Du, Jun Chen, Yu Zhang, Yisheng Lv, Xianbin Cao, "A Spatiotemporal Neural Network Model for Estimated-Time-of-Arrival Prediction of Flights in a Terminal Maneuvering Area," in IEEE Intelligent Transportation Systems Magazine, doi: 10.1109/MITS.2021.3132766.

[18] Xueliang Zhao, Zhishuai Li, Yu Zhang, Yisheng Lv*, "Discover Trip Purposes From Cellular Network Data With Topic Modeling," in IEEE Intelligent Transportation Systems Magazine, vol. 14, no. 4, pp. 37-46, July-Aug. 2022, doi: 10.1109/MITS.2020.3014111.

[19] Chizhan Zhang, Fenghua Zhu*, Yisheng Lv*, Peijun Ye, Fei-Yue Wang, "MLRNN: Taxi Demand Prediction Based on Multi-Level Deep Learning and Regional Heterogeneity Analysis," in IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 7, pp. 8412-8422, July 2022, doi: 10.1109/TITS.2021.3080511.

[20] Li Li, Can Zhao, Xiao Wang, Zhiheng Li, Long Chen, Yisheng Lv, Nan-Ning Zheng, Fei-Yue Wang, "Three Principles to Determine the Right-of-Way for AVs: Safe Interaction With Humans," in IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 7, pp. 7759-7774, July 2022, doi: 10.1109/TITS.2021.3072774.

[21] Zhishuai Li, Gang Xiong, Zebing Wei, Yisheng Lv*, Noreen Anwar, Fei-Yue Wang, "A Semisupervised End-to-End Framework for Transportation Mode Detection by Using GPS-Enabled Sensing Devices," in IEEE Internet of Things Journal, vol. 9, no. 10, pp. 7842-7852, 15 May15, 2022, doi: 10.1109/JIOT.2021.3115239.

[22] Yuanyuan Chen, Hongyu Chen, Peijun Ye, Yisheng Lv*, Fei-Yue Wang, "Acting as a Decision Maker: Traffic-Condition-Aware Ensemble Learning for Traffic Flow Prediction," in IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 4, pp. 3190-3200, April 2022, doi: 10.1109/TITS.2020.3032758.

[23] 吕宜生*,刘雅慧,陈圆圆,朱凤华.融合时空特征的端到端自动驾驶车辆转向角预测.中国公路学报, vol 35, no.03, pp. 263-272, 2022.DOI:10.19721/j.cnki.1001-7372.2022.03.022.

Yisheng Lv*, Yahui Liu, Yuanyuan Chen, Fenghua Zhu, "End-to-end Autonomous Driving Vehicle Steering Angle Prediction Based on Spatiotemporal Feature," in China Journal of Highway and Transport, vol.35, no. 03, pp. 263-272, 2022. (in Chinese)

[24] Peijun Ye, Bin Tian, Yisheng Lv*, Qijie Li and Fei-Yue Wang, "On Iterative Proportional Updating: Limitations and Improvements for General Population Synthesis," in IEEE Transactions on Cybernetics, vol. 52, no. 3, pp. 1726-1735, March 2022, doi: 10.1109/TCYB.2020.2991427.

[25] Chizhan Zhang, Fenghua Zhu, Xiao Wang, Leilei Sun, Haina Tang and Yisheng Lv*, "Taxi Demand Prediction Using Parallel Multi-Task Learning Model," in IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 2, pp. 794-803, Feb. 2022, doi: 10.1109/TITS.2020.3015542.

[26] Zhishuai Li, Gang Xiong, Yonglin Tian, Yisheng Lv*, Yuanyuan Chen, Pan Hui, Xiang Su, "A Multi-Stream Feature Fusion Approach for Traffic Prediction," in IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 2, pp. 1456-1466, Feb. 2022, doi: 10.1109/TITS.2020.3026836.

[27] Yunhu Huang, Dewang Chen, Wendi Zhao, Yisheng Lv, "Fuzzy C-Means Clustering Based Deep Patch Learning with Improved Interpretability for Classification Problems," in IEEE Access, vol. 10, pp. 49873-49891, 2022, doi: 10.1109/ACCESS.2022.3171109.

[28] Yan Ma, Wenbo Du, Jun Chen, Yu Zhang, Yisheng Lv, Xianbin Cao, "A Spatiotemporal Neural Network Model for Estimated-Time-of-Arrival Prediction of Flights in a Terminal Maneuvering Area," in IEEE Intelligent Transportation Systems Magazine, doi: 10.1109/MITS.2021.3132766.

[29] Weifeng Lv,  Yisheng Lv,  Andreas A. Malikopoulos, Eleni I. Vlahogianni,  Fei-Yue Wang,  "Guest Editorial Special Issue on Big Data and AI for Computational Transportation in the Cyber–Physical–Social Space," in IEEE Transactions on Intelligent Transportation Systems, vol. 22, no. 12, pp. 7887-7890, Dec. 2021, doi: 10.1109/TITS.2021.3128672.

[30] Ge Guo, Wei Yuan, Yisheng Lv, Wei Liu, Jinyuan Liu, "Traffic Forecasting via Dilated Temporal Convolution with Peak-Sensitive Loss," in IEEE Intelligent Transportation Systems Magazine, doi: 10.1109/MITS.2021.3119869.

[31] Hao Lu, Yifan Zhu, Yong Yuan, Weichao Gong, Juanjuan Li, Kaize Shi, Yisheng Lv, Zhendong Niu, Fei-Yue Wang, "Social Signal-Driven Knowledge Automation: A Focus on Social Transportation," in IEEE Transactions on Computational Social Systems, vol. 8, no. 3, pp. 737-753, June 2021, doi: 10.1109/TCSS.2021.3057332.

[32] 习金浩,孟峰,朱凤华,贺正冰,李润梅,吕宜生.基于多核自适应网络的高速公路交通流预测方法.交通运输研究, vol. 7, no. 04, pp. 1-9, 2021. DOI:10.16503/j.cnki.2095-9931.2021.04.001.

Jinhao Xi, Feng Meng, Fenghua Zhu, Zhengbing He, Runmei Li, Yisheng Lv, "Highway Traffic Flow Prediction Method Based on Multi-Kernel Adaptive Network," in Transport Research, vol. 7, no. 04, pp. 1-9, 2021. DOI:10.16503/j.cnki.2095-9931.2021.04.001. (in Chinese)

[33] 张晓东,许丹丹,王良,梁弘,吕宜生,王飞跃.基于复杂系统理论的平行城市模型架构与计算方法.指挥与控制学报, vol. 7, no. 01, pp. 28-37, 2021.

Xiaodong Zhang, Dandan Xu, Liang Wang, Hong Liang, Yisheng Lv, Fei-Yue Wang, "Model Architecture and Urban Computing for Parallel Cities Based on Complex Adaptive Systems," in Journal of Command and Control, vol. 7, no. 01, pp. 28-37, 2021. (in Chinese)

[34] 张伟,朱凤华,陈圆圆,吕宜生.基于注意力机制和分时图卷积的公交客流预测.模式识别与人工智能, vol. 34, no. 02, pp. 168-175, 2021. DOI:10.16451/j.cnki.issn1003-6059.202102008.

Wei Zhang, Fenghua Zhu, Yuanyuan Chen, Yisheng Lv, "Bus Passenger Flow Forecast Based on Attention and Time-Sharing Graph Convolutional Network," in Pattern Recognition and Artificial Intelligence, vol. 34, no. 02, pp. 168-175, 2021. (in Chinese)

[35] Siqi Fan, Fenghua Zhu, Shichao Chen, Hui Zhang; Bin Tian, Yisheng Lv, Fei-Yue Wang, "FII-CenterNet: An Anchor-Free Detector with Foreground Attention for Traffic Object Detection," in IEEE Transactions on Vehicular Technology, vol. 70, no. 1, pp. 121-132, Jan. 2021, doi: 10.1109/TVT.2021.3049805.

[36] Chengdong Li, Changgeng Zhou, Wei Pen, Yisheng Lv, Xin Luo, "Accurate prediction of short-term photovoltaic power generation via a novel double-input-rule-modules stacked deep fuzzy method, " in Energy, vol. 212, pp. 118700, 2020.

[37] Fenghua Zhu, Yisheng Lv*, Yuanyuan Chen, Xiao Wang, Gang Xiong and Fei-Yue Wang, "Parallel Transportation Systems: Toward IoT-Enabled Smart Urban Traffic Control and Management," in IEEE Transactions on Intelligent Transportation Systems, vol. 21, no. 10, pp. 4063-4071, Oct. 2020, doi: 10.1109/TITS.2019.2934991.

[38] Yuanyuan Chen, Yisheng Lv*, Fei-Yue Wang, "Traffic Flow Imputation Using Parallel Data and Generative Adversarial Networks," in IEEE Transactions on Intelligent Transportation Systems, vol. 21, no. 4, pp. 1624-1630, April 2020, doi: 10.1109/TITS.2019.2910295.

[39] 刘皓,吕宜生.基于深度强化学习的单路口交通信号控制.交通工程, vol. 20, no. 02, pp. 54-59, 2020. DOI:10.13986/j.cnki.jote.2020.02.009.

Hao Liu, Yisheng Lv, "Deep Reinforcement Learning for Traffic Signal Control of Isolated Signalized Intersections," in Journal of Transportation Engineering, vol. 20, no. 02, pp. 54-59, 2020. DOI:10.13986/j.cnki.jote.2020.02.009. (in Chinese)

[40] Chengdong Li, Jianqiang Yi, Yisheng Lv*, Peiyong Duan, "A Hybrid Learning Method for the Data-Driven Design of Linguistic Dynamic Systems," in IEEE/CAA Journal of Automatica Sinica, vol. 6, no. 6, pp. 1487-1498, November 2019, doi: 10.1109/JAS.2019.1911543.

[41] Yuanyuan Chen, Yisheng Lv*, Xiao Wang, Lingxi Li, Fei-Yue Wang, "Detecting Traffic Information from Social Media Texts with Deep Learning Approaches," in IEEE Transactions on Intelligent Transportation Systems, vol. 20, no. 8, pp. 3049-3058, Aug. 2019, doi: 10.1109/TITS.2018.2871269.

[42] Chenlu Tian, Chengdong Li, Guiqing Zhang, Yisheng Lv, "Data Driven Parallel Prediction of Building Energy Consumption Using Generative Adversarial Nets, " in Energy and Buildings, vol. 186, pp. 230–243, 2019.

[43] 吕宜生, 陈圆圆, 金峻臣, 李镇江, 叶佩军, 朱凤华. 平行交通:虚实互动的智能交通管理与控制, 智能科学与技术学报, vol.1, no. 01, pp. 21-33, 2019.

Yisheng Lv, Yuanyuan Chen, Junchen Jin, Zhenjiang Li, Peijun Ye, Fenghua Zhu, "Parallel Transportation: Virtual-Real Interaction for Intelligent Traffic Management and Control," in Chinese Journal of Intelligent Science and Technology, vol.1, no.01, pp. 21-33, 2019. (in Chinese)

[44] 吕宜生,王飞跃,张宇,张晓东.虚实互动的平行城市:基本框架、方法与应用, 智能科学与技术学报, vol.1, no. 03, pp. 311-317, 2019.

Yisheng Lv, Fei-Yue Wang, Yu Zhang, Xiaodong Zhang, "Parallel Cities: Framework, Methodology, and Application," in Chinese Journal of Intelligent Science and Technology, vol.1, no. 03, pp. 311-317, 2019. (in Chinese)

[45] 李志帅,吕宜生,熊刚.基于图卷积神经网络和注意力机制的短时交通流量预测, 交通工程, vol. 19, no. 04, pp. 15-19, 2019. DOI:10.13986/j.cnki.jote.2019.04.003.

Zhishuai Li, Yisheng Lv, Gang Xiong, "Short-term Traffic Flow Prediction Based on Graph Convolutional Neural Network and Attention Mechanism," in Journal of Transportation Engineering, vol. 19, no. 04, pp. 15-19, 2019. DOI:10.13986/j.cnki.jote.2019.04.003. (in Chinese)

[46] Hao Lu, Kaize Shi, Yifan Zhu, Yisheng Lv*, Zhendong Niu*, "Sensing urban transportation events from multi-channel social signals with the Word2vec fusion model," in Sensors, vol. 18, no. 12, pp. 4093, 2018.

[47] Jun Jason Zhang, Fei-Yue Wang, Xiao Wang, Gang Xiong, Fenghua Zhu, Yisheng Lv, Jiachen Hou, Shuangshuang Han, Yong Yuan, Qingchun Lu, Yishi Lee, "Cyber-Physical-Social Systems: The State of the Art and Perspectives," in IEEE Transactions on Computational Social Systems, vol. 5, no. 3, pp. 829-840, Sept. 2018, doi: 10.1109/TCSS.2018.2861224.

[48] Zhihao Zheng, Chengcheng Wang, Pu Wang, Yusha Xiong, Fan Zhang, Yisheng Lv, "Framework for Fusing Traffic Information from Social and Physical Transportation Data." PLOS One 13, no. 8 (2018): e0201531.

[49] Hairong Dong, Hainan Zhu, Yidong Li, Yisheng Lv, Shigen Gao, Qi Zhang, Bin Ning, "Parallel Intelligent Systems for Integrated High-Speed Railway Operation Control and Dynamic Scheduling," in IEEE Transactions on Cybernetics, vol. 48, no. 12, pp. 3381-3389, Dec. 2018, doi: 10.1109/TCYB.2018.2852772.

[50] Hao Lu, Yifan Zhu, Kaize Shi, Yisheng Lv, Pengfei Shi, Zhendong Niu, “Using Adverse Weather Data in Social Media to Assist with City-Level Traffic Situation Awareness and Alerting,” Applied Sciences, vol. 8, no. 7, p. 1193, Jul. 2018, doi: 10.3390/app8071193.

[51] Yisheng Lv, Yuanyuan Chen, Li Li, Fei-Yue Wang, "Generative Adversarial Networks for Parallel Transportation Systems," in IEEE Intelligent Transportation Systems Magazine, vol. 10, no. 3, pp. 4-10, Fall 2018, doi: 10.1109/MITS.2018.2842249.

[52] Chengdong Li, Zixiang Ding, Dianwei Qian, Yisheng Lv, “Data-Driven Design of the Extended Fuzzy Neural Network Having Linguistic Outputs,” in Journal of Intelligent & Fuzzy Systems, vol. 34, no. 1, pp. 349-360, 2018.

[53] Chengdong Li, Zixiang Ding, Jianqiang Yi, Yisheng Lv, Guiqing Zhang, “Deep Belief Network Based Hybrid Model for Building Energy Consumption Prediction,” Energies, vol. 11, no. 1, p. 242, Jan. 2018, doi: 10.3390/en11010242.

[54] Yisheng Lv, Yuanyuan Chen, Xiqiao Zhang, Yanjie Duan, Naiqiang Li, "Social Media Based Transportation Research: The State of the Work and the Networking," in IEEE/CAA Journal of Automatica Sinica, vol. 4, no. 1, pp. 19-26, Jan. 2017, doi: 10.1109/JAS.2017.7510316.

[55] Chengdong Li, Yisheng Lv, Jianqiang Yi, and Guiqing Zhang, “Pruned Fast Learning Fuzzy Approach for Data-Driven Traffic Flow Prediction,” in Journal of Advanced Computational Intelligence and Intelligent Informatics, vol. 20, no. 7, pp. 1181–1191, 2016.

[56] Yanjie Duan, Yisheng Lv*, Yu-Liang Liu, Fei-Yue Wang, ‘An Efficient Realization of Deep Learning for Traffic Data Imputation’, in Transportation Research Part C: Emerging Technologies, vol. 72, pp. 168–181, 2016.

[57] Li Li, Yisheng Lv*, Fei-Yue Wang, "Traffic Signal Timing via Deep Reinforcement Learning," in IEEE/CAA Journal of Automatica Sinica, vol. 3, no. 3, pp. 247-254, 10 July 2016, doi: 10.1109/JAS.2016.7508798.

[58] 段艳杰,吕宜生,张杰,赵学亮,王飞跃. 深度学习在控制领域的研究现状与展望. 自动化学报, vol. 42, no. 5,pp. 643-654,2016.

Yanjie Duan, Yisheng Lv, Jie Zhang, Xueliang Zhao, Fei-Yue Wang, "Deep Learning for Control: The State of the Art and Prospects," in Acta Automatica Sinica, vol. 42, no. 5,pp. 643-654,2016. (in Chinese)

[59] 叶佩军, 吕宜生, 吉竟初. "基于社会网络视角的交通仿真和计算实验研究文献分析," 自动化学报, vol.39, no. 9, pp.1402-1412, 2013.

Peijun Ye, Yisheng Lv, Jingchu Ji, "Literature Analysis for Traffic Simulation and Computational Experiments Based on Social Networks," in Acta Automatica Sinica, vol.39, no. 9, pp.1402-1412, 2013. (in Chinese)

[60] Gang Xiong, Xisong Dong, Dong Fan, Fenghua Zhu, Kunfeng Wang, Yisheng Lv, "Parallel Traffic Management System and Its Application to the 2010 Asian Games," in IEEE Transactions on Intelligent Transportation Systems, vol. 14, no. 1, pp. 225-235, March 2013, doi: 10.1109/TITS.2012.2210883.

[61] Hai-Rong Dong, Bin Ning, Gao-You Qin, Yisheng Lv, Lefei Li, "Urban Rail Emergency Response Using Pedestrian Dynamics," in IEEE Intelligent Systems, vol. 27, no. 1, pp. 52-55, Jan.-Feb. 2012, doi: 10.1109/MIS.2012.21.

[62] Qinghai Miao, Fenghua Zhu, Yisheng Lv, Changjian Cheng, Cheng Chen, Xiaogang Qiu, "A Game-Engine-Based Platform for Modeling and Computing Artificial Transportation Systems," in IEEE Transactions on Intelligent Transportation Systems, vol. 12, no. 2, pp. 343-353, June 2011, doi: 10.1109/TITS.2010.2103400.

[63] Hongxia Zhao, Shuming Tang, Yisheng Lv, "Generating Artificial Populations for Traffic Microsimulation," in IEEE Intelligent Transportation Systems Magazine, vol. 1, no. 3, pp. 22-28, Fall 2009, doi: 10.1109/MITS.2009.934643.

[64] Shuang Li, Wei Deng, Yisheng Lv, "Combined Modal Split and Assignment Model for the Multimodal Transportation Network of the Economic Circle in China," in Transport, vol. 24, no.3, pp.241-248, 2009.

[65] 吕宜生,欧彦,汤淑明,朱凤华,赵红霞.基于人工交通系统的路网交通运行状况评估的计算实验, 吉林大学学报(工学版),vol. 39, no.S2, pp. 87-90, 2009.

Yisheng Lv, Yan Ou, Shuming Tang, Fenghua Zhu, Hongxia Zhao, "Computational Experiments of Evaluating Road Network Traffic Conditions Based on Artificial Transportation Systems, " in Journal of Jilin University (Engineering and Technology Edition), vol 39, no. S2, pp.87-90, 2009. (in Chinese)

[66] 李爽,邓卫,吕宜生.经济圈客运交通方式分担与交通分配组合模型.东南大学学报(自然科学版), vol 39, no.4, pp. 854-858, 2009.

Shuang Li, Wei Deng, Yisheng Lv, "Combined Modal Split and Assignment Model for Passenger Transportation of Economic Circle in China," in Journal of Southeast University (Natural Science Edition), vol 39, no.4, pp. 854-858, 2009. (in Chinese)

[67] 李爽,邓卫,吕宜生.基于场景规划的区域公共物流中心选址模型[J].交通运输系统工程与信息,2 vol 9, no.5, pp.85-89, 2009.

Shuang Li, Wei Deng, Yisheng Lv., "Location Model of Regional Public Logistics Centers Based on Scenario Planning," in Journal of Transportation Systems Engineering and Information Technology, vol 9, no.5, pp.85-89,2009. (in Chinese)

[68] 赵红霞,汤淑明,朱凤华,吕宜生.基于活动的交通需求计算过程模型研究综述[J].交通信息与安全, vol 27, no.z1, pp.16-31, 2009.

Hongxia Zhao, Shuming Tang, Zhu Fenghua, Yisheng Lv, "A Survey of Activity-Based Travel Demand Computational Process Models," in Journal of Transportation Information and Safety, vol 27, no. z1, pp.16-31, 2009. (in Chinese)

 

-Refereed Conference Paper

[1] Chen Zhao, Xingyuan Dai, Xiao Wang, Lingxi Li, Yisheng Lv* and Fei-Yue Wang, "Learning Transformer-based Cooperation for Networked Traffic Signal Control," 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), 2022, pp. 3133-3138, doi: 10.1109/ITSC55140.2022.9921995.

[2] Peijun Ye, Fenghua Zhu, Yisheng Lv, Xiao Wang and Yuanyuan Chen, "Efficient Calibration of Agent-Based Traffic Simulation Using Variational Auto-Encoder," 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), 2022, pp. 3077-3082, doi: 10.1109/ITSC55140.2022.9922234.

[3] Xi Li, Siqi Fan, Yuanyuan Chen, Yuliang Liu, Shichao Chen*, Fenghua Zhu and Yisheng Lv*, "PAT: Point Cloud Analysis with Local Filter Embedding in Transformer," 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), 2022, pp. 3165-3170, doi: 10.1109/ITSC55140.2022.9922529.

[4] Jingcheng Wang, Yong Zhang, Yisheng Lv, Yongli Hu and Baocai Yin, "Towards City-Scale Traffic Prediction: Cluster Graph Wavelet Networks," 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), 2022, pp. 1388-1393, doi: 10.1109/ITSC55140.2022.9921904.

[5] Bing Song, Gang Xiong, Fenghua Zhu, Xuke Wu, Yisheng Lv and Peijun Ye, "Empirical Learning of Decision Parameters for Agent-Based Model," 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), 2022, pp. 3194-3199, doi: 10.1109/ITSC55140.2022.9921892.

[6] Yuanyuan Chen and Yisheng Lv, "Mobility Pattern Analysis during 2020 Chinese National Day under the COVID-19 pandemic," 2022 Australian & New Zealand Control Conference (ANZCC), 2022, pp. 197-200, doi: 10.1109/ANZCC56036.2022.9966981.

[7] Qinghai Miao, Min Huang, Yisheng Lv and Fei-Yue Wang, "Parallel Learning between Science for AI and AI for Science: A Brief Overview and Perspective," 2022 Australian & New Zealand Control Conference (ANZCC), 2022, pp. 171-175, doi: 10.1109/ANZCC56036.2022.9966863.

[8] Bo Lu, Min Huang, Xi Li, Yunhao Nie, Qinghai Miao, Yisheng Lv, "Pedestrian Detection for Autonomous Vehicles Using Virtual-to-Real Augmentation," 2022 China Automation Congress (CAC), 2022. 

[9] Noreen Anwar, Zhen Shen, Qinglai Wei, Gang Xiong, Peijun Ye, Zhishuai Li, Yisheng Lv, Hongxia Zhao, "YOLOv4 Based Deep Learning Algorithm for Defects Detection and Classification of Rail Surfaces," 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), 2021, pp. 1616-1620, doi: 10.1109/ITSC48978.2021.9565036.

[10] Sheng Dong, Fenghua Zhu, Yuan Cheng, Yisheng Lv, Jun Liu, Gang Xiong, "Research of Simulation Test Based on Parallel High-speed Train Systems," 2021 China Automation Congress (CAC), 2021, pp. 2790-2795, doi: 10.1109/CAC53003.2021.9728390.

[11] Xiaoyu Chen, Gang Xiong, Yisheng Lv*, Yuanyuan Chen, Bing Song, Fei-Yue Wang, "A Collaborative Communication-Qmix Approach for Large-scale Networked Traffic Signal Control," 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), 2021, pp. 3450-3455, doi: 10.1109/ITSC48978.2021.9564683.

[12] Yuanyuan Chen, Yisheng Lv, Fenghua Zhu, "Traffic Flow Synthesis Using Generative Adversarial Networks via Semantic Latent Codes Manipulation," 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), 2021, pp. 1451-1456, doi: 10.1109/ITSC48978.2021.9564752.

[13] Yin Wang, Yisheng Lv*, Jianying Zhou, Zhiming Yuan, Qi Zhang, Min Zhou, "A Policy-Based Reinforcement Learning Approach for High-Speed Railway Timetable Rescheduling," 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), 2021, pp. 2362-2367, doi: 10.1109/ITSC48978.2021.9564980.

[14] Zebing Wei, Zhishuai Li, Chunxiang Wang, Yuanyuan Chen, Qinghai Miao*, Yisheng Lv*, Fei-Yue Wang, "Recurrent Attention Unit: A Simple and Effective Method for Traffic Prediction," 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), 2021, pp. 1272-1277, doi: 10.1109/ITSC48978.2021.9564984.

[15] Jinhao Xi, Fenghua Zhu, Yuanyuan Chen, Yisheng Lv, Chang Tan, Fei-Yue Wang, "DDRL: A Decentralized Deep Reinforcement Learning Method for Vehicle Repositioning," 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), 2021, pp. 3984-3989, doi: 10.1109/ITSC48978.2021.9564925.

[16] Vladislav Kashansky, Nishant Saurabh, Radu Prodan, Aso Validi, Cristina Olaverri-Monreal, Renate Burian, Gerhard Burian, Dimo Hirsch, Yisheng Lv, Fei-Yue Wang, Hai Zuhge, "The ADAPT Project: Adaptive and Autonomous Data Performance Connectivity and Decentralized Transport Network," Proceedings of the Conference on Information Technology for Social Good, Roma, Italy, 2021, pp. 115–120.

[17] Liangzhe Han, Bowen Du, Leilei Sun, Yanjie Fu, Yisheng Lv, and Hui Xiong, 2021. "Dynamic and Multi-Faceted Spatio-Temporal Deep Learning for Traffic Speed Forecasting," Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, Virtual Event, Singapore, 2021, pp. 547–555.

[18] Zhishuai Li, Gang Xiong, Yu Zhang, Meng Zheng, Xisong Dong, Yisheng Lv*, "Urban Trip Generation Forecasting Based on Gradient Boosting Algorithm," 2021 IEEE 1st International Conference on Digital Twins and Parallel Intelligence (DTPI), 2021, pp. 50-53, doi: 10.1109/DTPI52967.2021.9540082.

[19] Bing Song, Gang Xiong, Songmin Yu, Peijun Ye, Xisong Dong, Yisheng Lv, "Calibration of Agent-Based Model Using Reinforcement Learning," 2021 IEEE 1st International Conference on Digital Twins and Parallel Intelligence (DTPI), 2021, pp. 278-281, doi: 10.1109/DTPI52967.2021.9540180.

[20] Pengxin Yang, Dongliang Cui, Xuewu Dai, Yisheng Lv, Hairong Dong, Xinghao Wang, Ruiguang Liu, "A Parallel Intelligent System for Optimizing High-Speed Railway Rescheduling by Learning," 2021 IEEE 1st International Conference on Digital Twins and Parallel Intelligence (DTPI), 2021, pp. 328-331, doi: 10.1109/DTPI52967.2021.9540209.

[21] Xiaojie Bu, Zebing Wei, Zhishuai Li, Xiao Wang, Yuanyuan Chen*, Yunquan Song, Yisheng Lv*, "Temporal-Difference Spatial Sampling and Aggregating Graph Neural Network for Crowd Flow Forecasting," 2021 IEEE 1st International Conference on Digital Twins and Parallel Intelligence (DTPI), 2021, pp. 160-163, doi: 10.1109/DTPI52967.2021.9540169.

[22] Siqi Fan, Qiulei Dong*, Fenghua Zhu, Yisheng Lv*, Peijun Ye, Fei-Yue Wang, "SCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud Segmentation," 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, pp. 14499-14508, doi: 10.1109/CVPR46437.2021.01427.

[23] Gang Xiong, Xiaoyu Chen, Nan Shuo, Yisheng Lv, Fenghua Zhu, Tianci Qu, Peijun Ye, "Cyber-Physical-Social Systems for Smart City: An Implementation Based on Intelligent Loop", IFAC-Papers Online, vol. 53, no. 5, pp. 501–506, 2020.

[24] Gang Xiong, Xiaoyu Chen, Nan Shuo, Yisheng Lv, Fenghua Zhu, Tianci Qu, Peijun Ye, “Collaborative Optimization of Cyber Physical Social Systems for Urban Transportation Based on Knowledge Automation”. IFAC-Papers Online, 2020, 53(5): 572-577.

[25] Yuanyuan Chen, Yisheng Lv, Peijun Ye, Fenghua Zhu, “Traffic-Condition-Awareness Ensemble Learning for Traffic Flow Prediction”. IFAC-PapersOnLine, 2020, 53(5): 582-587.

[26] Mingrui Yu, Jaijun Chai, Yisheng Lv*, Gang Xiong, "An Effective Deep Reinforcement Learning Approach for Adaptive Traffic Signal Control," 2020 Chinese Automation Congress (CAC), 2020, pp. 6419-6425, doi: 10.1109/CAC51589.2020.9327396.

[27] Siqi Fan, Fenghua Zhu, Hui Zhang, Yisheng Lv, Xiao Wang, Gang Xiong, Fei-Yue Wang, "Improving Road Detection Results Based on Ensemble Learning and Key Samples Focusing," 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC), 2020, pp. 1-7, doi: 10.1109/ITSC45102.2020.9294532.

[28] Mengchao Chi, Bing Bu, Hongwei Wang, Yisheng Lv, Shengwei Yi, Xuetao Yang, Jie Li, "Multi-channel Man-in-the-Middle Attack Against Communication-Based Train Control Systems: Attack Implementation and Impact", Proceedings of the 4th International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2019, 2020, pp. 129–139.

[29] Zhishuai Li, Gang Xiong, Yuanyuan Chen, Yisheng Lv*, Bin Hu, Fenghua Zhu, Fei-Yue Wang, "A Hybrid Deep Learning Approach with GCN and LSTM for Traffic Flow Prediction," 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2019, pp. 1929-1933, doi: 10.1109/ITSC.2019.8916778.

[30] Miao Zhang, Qi Zhang, Yisheng Lv, Wenzhe Sun, Haiteng Wang, "An AI based High-speed Railway Automatic Train Operation System Analysis and Design," 2018 International Conference on Intelligent Rail Transportation (ICIRT), 2018, pp. 1-5, doi: 10.1109/ICIRT.2018.8641650.

[31] Yuanyuan Chen, Yisheng Lv*, Xiao Wang, Fei-Yue Wang, "Traffic Flow Prediction with Parallel Data," 2018 21st International Conference on Intelligent Transportation Systems (ITSC), 2018, pp. 614-619, doi: 10.1109/ITSC.2018.8569276.

[32] Can Luo, Zhen Shen, Simos Evangelou, Gang Xiong, Xiao Wang, Yisheng Lv, Xisong Dong, Fenghua Zhu, Fei-Yue Wang, "A Control Strategy Combined Thermostat Control with DC-Link Voltage Control for Series Hybrid Electric Vehicles," 2018 21st International Conference on Intelligent Transportation Systems (ITSC), 2018, pp. 294-299, doi: 10.1109/ITSC.2018.8570017.

[33] Jinpeng Han, Yilun Lin, Xingyuan Dai, Fei-Yue Wang, Yisheng Lv, Fenghua Zhu and Li Li, "Efficient Deployment of Patrols to Catch Arsonists," 2018 Chinese Automation Congress (CAC), 2018, pp. 792-797, doi: 10.1109/CAC.2018.8623696.

[34] Wuling Huang, Yisheng Lv, Long Chen, FengHua Zhu, "Accelerate the Autonomous Vehicles Reliability Testing in Parallel Paradigm," 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC), 2017, pp. 922-927, doi: 10.1109/ITSC.2017.8317959.

[35] Danqing Kang, Yisheng Lv*, Yuan-yuan Chen, "Short-term Traffic Flow Prediction with LSTM Recurrent Neural Network," 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC), 2017, pp. 1-6, doi: 10.1109/ITSC.2017.8317872.

[36] Yuanyuan Chen, Yisheng Lv*, Xiao Wang, Fei-Yue Wang, "A Convolutional Neural Network for Traffic Information Sensing from Social Media Text," 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC), 2017, pp. 1-6, doi: 10.1109/ITSC.2017.8317650.

[37] WuLing Huang, Kunfeng Wang, Yisheng Lv, FengHua Zhu, "Autonomous Vehicles Testing Methods Review," 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC), 2016, pp. 163-168, doi: 10.1109/ITSC.2016.7795548.

[38] Yuanyuan Chen, Yisheng Lv, Zhenjiang Li, Fei-Yue Wang, "Long Short-Term Memory Model for Traffic Congestion Prediction with Online Open Data," 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC), 2016, pp. 132-137, doi: 10.1109/ITSC.2016.7795543.

[39] Yanjie Duan, Yisheng Lv*, Fei-Yue Wang, "Travel Time Prediction with LSTM Neural Network," 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC), 2016, pp. 1053-1058, doi: 10.1109/ITSC.2016.7795686.

[40] Yuan-yuan Chen, Yisheng Lv, "Analysis and Forecasting of Urban Traffic Condition based on Categorical Data," 2016 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI), 2016, pp. 113-118, doi: 10.1109/SOLI.2016.7551671.

[41] Yanjie Duan, Yisheng Lv, Fei-Yue Wang, "Performance Evaluation of the Deep Learning Approach for Traffic Flow Prediction at Different Times," 2016 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI), 2016, pp. 223-227, doi: 10.1109/SOLI.2016.7551691.

[42] YuLiang Liu, Yisheng Lv*, "Discharge Model and Control Strategy for E-Bicycle Mixed Intersections," 2016 12th World Congress on Intelligent Control and Automation (WCICA), 2016, pp. 1808-1813, doi: 10.1109/WCICA.2016.7578575.

[43] Yifei Zhao, Jing Wang, Fei-Yue Wang, Xiaobo Shi, Yisheng Lv, "Paragraph Vector based Retrieval Model for Similar Cases Recommendation," 2016 12th World Congress on Intelligent Control and Automation (WCICA), 2016, pp. 2220-2225, doi: 10.1109/WCICA.2016.7578614.

[44] Yu-Liang Liu, Yisheng Lv, Yanjie Duan, "Practical Traffic Signal-Setting Method for Intersections Using E-bicycle Mixed Traffic Flows Discharge Model." The Transportation Research Board (TRB) 95th Annual Meeting, 2016, No. 16-3390.

[45] Yifei Zhao, Fei-Yue Wang, Hang Gao, Fenghua Zhu, Yisheng Lv, Peijun Ye, "Content-Based Recommendation for Traffic Signal Control," 2015 IEEE 18th International Conference on Intelligent Transportation Systems, 2015, pp. 1183-1188, doi: 10.1109/ITSC.2015.195.

[46] Gang Xiong, Wenwen Kang, Fei-Yue Wang, Fenghua Zhu, Yisheng Lv, Xisong Dong, Jukka Riekki, Susanna Pirttikangas, "Continuous Travel Time Prediction for Transit Signal Priority Based on a Deep Network," 2015 IEEE 18th International Conference on Intelligent Transportation Systems, 2015, pp. 523-528, doi: 10.1109/ITSC.2015.92.

[47] Yifei Zhao, Hang Gao, Yisheng Lv, Gang Xiong, " The Application of Recommendation Systems. " Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, and Informatics. IEEE, 2014: 233-237.

[48] Yifei Zhao, Hang Gao, Yisheng Lv, Yanjie Duan, "Latent factor model for traffic signal control," Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, and Informatics, 2014, pp. 227-232, doi: 10.1109/SOLI.2014.6960726.

[49] Wenwen Kang, Gang Xiong, Yisheng Lv, Xisong Dong, Fenghua Zhu, Qingjie Kong, "Traffic Signal Coordination for Emergency Vehicles," 17th International IEEE Conference on Intelligent Transportation Systems (ITSC), 2014, pp. 157-161, doi: 10.1109/ITSC.2014.6957683.

[50] Yanjie Duan, Yisheng Lv, Wenwen Kang and Yifei Zhao, "A Deep Learning based Approach for Traffic Data Imputation," 17th International IEEE Conference on Intelligent Transportation Systems (ITSC), 2014, pp. 912-917, doi: 10.1109/ITSC.2014.6957805.

[51] Yanjie Duan, Fenghua Zhu, Gang Xiong, Yuantao Li, Yisheng Lv, "Improved Information Feedback in Symmetric Dual-channel Traffic," Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics, 2013, pp. 29-34, doi: 10.1109/SOLI.2013.6611376.

[52] Wenwen Kang, Li Xie, Fenghua Zhu, Yisheng Lv, Gang Xiong, Bin Xi, "Design and Implementation of an Emergency Traffic Evacuation Management Platform for Urban Areas based on Eclipse RCP," Proceedings of 2013 IEEE International Conference on Vehicular Electronics and Safety, 2013, pp. 84-88, doi: 10.1109/ICVES.2013.6619608.

[53] Xisong Dong, Gang Xiong, Yuantao Li, Xiujiang Guo, Yisheng Lv, "Intelligent Ports based on Internet of Things," Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics, 2013, pp. 292-296, doi: 10.1109/SOLI.2013.6611428.

[54] Wenwen Kang, Li Xie, Fenghua Zhu, Yisheng Lv, Gang Xiong, Bin Xi, "A Heuristic Implementation of Emergency Traffic Evacuation in Urban Areas," Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics, 2013, pp. 40-44, doi: 10.1109/SOLI.2013.6611378.

[55] Qinghai Miao, Yisheng Lv, Fenghua Zhu, "A Cellular Automata based Evacuation Model on GPU Platform," 2012 15th International IEEE Conference on Intelligent Transportation Systems, 2012, pp. 764-768, doi: 10.1109/ITSC.2012.6338786.

[56] Yisheng Lv, Fenghua Zhu, Qinghai Miao, Peijun Ye, Songhang Chen, "Emergency Traffic Evacuation Control based on the Orthogonal Experimental Design Method," 2012 15th International IEEE Conference on Intelligent Transportation Systems, 2012, pp. 1269-1273, doi: 10.1109/ITSC.2012.6338882.

[57] Fenghua Zhu, Songhang Chen, Yisheng Lv, Peijun Ye, Gang Xiong, Xisong Dong, "Parallel Public Transport System and Its Application in the Evacuation of Large-Scale Activities," 2012 15th International IEEE Conference on Intelligent Transportation Systems, 2012, pp. 102-107, doi: 10.1109/ITSC.2012.6338866.

[58] Yisheng Lv, Fenghua Zhu, Gang Xiong, Qingming Yao, Songhang Chen, Peijun Ye, "Impact of Evacuee Behavior on Evacuation Clearance Time," Proceedings of the 10th World Congress on Intelligent Control and Automation, 2012, pp. 3520-3525, doi: 10.1109/WCICA.2012.6359057.

[59] Xisong Dong, Gang Xiong, Dong Fan, Yisheng Lv, Xubin Sun, "Parallel Rail Transit system based on ACP approach," Proceedings of the 10th World Congress on Intelligent Control and Automation, 2012, pp. 2048-2053, doi: 10.1109/WCICA.2012.6358213.

[60] Xisong Dong, Gang Xiong, Dong Fan, Fenghua Zhu, Yisheng Lv, "Parallel Public Transport Management and Control System for Guangzhou Asian Games," Proceedings of 2012 9th IEEE International Conference on Networking, Sensing and Control, 2012, pp. 16-21, doi: 10.1109/ICNSC.2012.6204884.

[61] Fenghua Zhu, Fei-Yue Wang, Runmei Li, Yisheng Lv, Songhang Chen, "Modeling and Analyzing Transportation Systems based on ACP Approach," 2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC), 2011, pp. 2136-2141, doi: 10.1109/ITSC.2011.6083046.

[62] Xisong Dong, Gang Xiong, Dong Fan, Fenghua Zhu, Yisheng Lv, "Research on Bus Rapid Transit (BRT) and Its Real-Time Scheduling," Proceedings of 2011 IEEE International Conference on Service Operations, Logistics and Informatics, 2011, pp. 342-346, doi: 10.1109/SOLI.2011.5986582.

[63] 陈松航, 朱凤华, 吕宜生, 查磊. 面向人工交通系统的本体知识库构建与应用. 第六届 (2011) 中国管理学年会——系统管理与复杂性科学分会场论文集, 2011.

[64] Yisheng Lv, Hongxia Zhao, Qinigming Yao, "Impact of Real-time Traffic Information Update Interval on Emergency Traffic Evacuation Efficiency". The Third Chinese Conference on Parallel Management, 2011.

[65] Wei Deng, Shuang Li, Yisheng Lv, "A New Multiclass Multimodal Combined Model for Passenger Market Share Estimation in Economic Circles. " The 12th World Conference on Transport Research, 2010.

[66] Yisheng Lv, Shuming Tang, Hongxia Zhao, Shuang Li, " Real-time Highway Accident Prediction based on Support Vector Machines," 2009 Chinese Control and Decision Conference, 2009, pp. 4403-4407, doi: 10.1109/CCDC.2009.5192409.

[67] Yisheng Lv, Shuming Tang, Hongxia Zhao, "Real-Time Highway Traffic Accident Prediction based on the k-Nearest Neighbor Method," 2009 International Conference on Measuring Technology and Mechatronics Automation, 2009, pp. 547-550, doi: 10.1109/ICMTMA.2009.657.

[68] Shuang Li, Wei Deng, Yisheng Lv, “A Simulation-Based Research on Emergency Pedestrian Evacuation for Urban Residential Districts,” 2009 International Conference on Measuring Technology and Mechatronics Automation, IEEE, 2009, 2: 200-203.

[69] Jing Li, Shuang Li, YiSheng Lv, Shi An, “Simulation Analysis of the Impact of Pedestrian Traffic Distribution on Emergency Evacuation,” 2007 The First International Conference on Transportation Engineering, 2007, pp. 937-942.