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Yisheng Lv
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2020 – today
- 2024
- [j101]Yahui Liu, Bin Tian, Yisheng Lv, Lingxi Li, Fei-Yue Wang:
Point Cloud Classification Using Content-Based Transformer via Clustering in Feature Space. IEEE CAA J. Autom. Sinica 11(1): 231-239 (2024) - [j100]Qingyuan Ji, Xiaoyue Wen, Junchen Jin, Yongdong Zhu, Yisheng Lv:
Urban Traffic Control Meets Decision Recommendation System: A Survey and Perspective. IEEE CAA J. Autom. Sinica 11(10): 2043-2058 (2024) - [j99]Yisheng Lv:
Think Ahead, Jump Above: Farewell 2023! Welcome 2024! [Editor's Column]. IEEE Intell. Transp. Syst. Mag. 16(1): 3-208 (2024) - [j98]Rui Wang, Chunjie Zhang, Xiaolong Zheng, Yisheng Lv, Yao Zhao:
Joint Defocus Deblurring and Superresolution Learning Network for Autonomous Driving. IEEE Intell. Transp. Syst. Mag. 16(1): 104-115 (2024) - [j97]Jiaqi Ma, Yisheng Lv:
The UCLA Mobility Labs [Its Research Lab]. IEEE Intell. Transp. Syst. Mag. 16(1): 203-208 (2024) - [j96]Yisheng Lv:
What's Next After Big Models? Small Models? Agents? Other Things? [Editor's Column]. IEEE Intell. Transp. Syst. Mag. 16(2): 2-3 (2024) - [j95]Meng Wang, Angelika Hirrle, Matthias Körner, Susanne Wunsch, Yikai Zeng, Yisheng Lv:
An Introduction to the Chair of Traffic Process Automation [Its Research Lab]. IEEE Intell. Transp. Syst. Mag. 16(2): 133-137 (2024) - [j94]Yisheng Lv:
Still on the Way: Too Many Traffic Scenarios? Not Enough! [Editor's Column]. IEEE Intell. Transp. Syst. Mag. 16(3): 2-3 (2024) - [j93]Ziran Wang, Yisheng Lv:
An Introduction to the Purdue Digital Twin Lab [ITS Research Lab]. IEEE Intell. Transp. Syst. Mag. 16(3): 125-128 (2024) - [j92]Yisheng Lv:
Thoughts on Smart Cars and Autonomous Consciousness [Editor's Column]. IEEE Intell. Transp. Syst. Mag. 16(4): 2-3 (2024) - [j91]Yu Zhang, Yisheng Lv:
An Introduction to the Smart Urban Mobility Laboratory at University of South Florida [ITS Research Lab]. IEEE Intell. Transp. Syst. Mag. 16(4): 95-99 (2024) - [j90]Yisheng Lv:
Looking Into the Future: From Reality as Anchors to Virtuality as Anchors [Editor's Column]. IEEE Intell. Transp. Syst. Mag. 16(5): 2-3 (2024) - [j89]Yisheng Lv, Alberto Petrillo, Stefania Santini:
Distributed Automation System Lab at University of Naples Federico II [Its Research Lab]. IEEE Intell. Transp. Syst. Mag. 16(5): 113-119 (2024) - [j88]Gang Xiong, Zhishuai Li, Meihua Zhao, Yu Zhang, Qinghai Miao, Yisheng Lv, Fei-Yue Wang:
TrajSGAN: A Semantic-Guiding Adversarial Network for Urban Trajectory Generation. IEEE Trans. Comput. Soc. Syst. 11(2): 1733-1743 (2024) - [j87]Zhishuai Li, Gang Xiong, Yisheng Lv, Peijun Ye, Xiaoli Liu, Sasu Tarkoma, Fei-Yue Wang:
An Urban Trajectory Data-Driven Approach for COVID-19 Simulation. IEEE Trans. Comput. Soc. Syst. 11(3): 4290-4299 (2024) - [j86]Wenbo Du, Shenwen Chen, Zhishuai Li, Xianbin Cao, Yisheng Lv:
A Spatial-Temporal Approach for Multi-Airport Traffic Flow Prediction Through Causality Graphs. IEEE Trans. Intell. Transp. Syst. 25(1): 532-544 (2024) - [j85]Jingxiang Qu, Ryan Wen Liu, Chenjie Zhao, Yu Guo, Sendren Sheng-Dong Xu, Fenghua Zhu, Yisheng Lv:
Multi-Task Learning-Enabled Automatic Vessel Draft Reading for Intelligent Maritime Surveillance. IEEE Trans. Intell. Transp. Syst. 25(5): 4552-4564 (2024) - [j84]Wenli Li, Yinan Zhang, Lingxi Li, Yisheng Lv, Mengxin Wang:
A Pedestrian Trajectory Prediction Model for Right-Turn Unsignalized Intersections Based on Game Theory. IEEE Trans. Intell. Transp. Syst. 25(8): 9643-9658 (2024) - [j83]Jinhao Xi, Fenghua Zhu, Peijun Ye, Yisheng Lv, Gang Xiong, Fei-Yue Wang:
Auxiliary Network Enhanced Hierarchical Graph Reinforcement Learning for Vehicle Repositioning. IEEE Trans. Intell. Transp. Syst. 25(9): 11563-11575 (2024) - [j82]Wei Xu, Chen Zhao, Xingyuan Dai, Zhiming Yuan, Tao Zhang, Tao Wang, Yuhai Ren, Yisheng Lv:
Parallel Dispatching: An ACP-Based High-Speed Railway Intelligent Dispatching System. IEEE Trans. Intell. Veh. 9(1): 1146-1160 (2024) - [j81]Ryan Wen Liu, Yuxu Lu, Yu Guo, Wenqi Ren, Fenghua Zhu, Yisheng Lv:
AiOENet: All-in-One Low-Visibility Enhancement to Improve Visual Perception for Intelligent Marine Vehicles Under Severe Weather Conditions. IEEE Trans. Intell. Veh. 9(2): 3811-3826 (2024) - [j80]Yumeng Li, Yunhe Zhang, Tong Guo, Yu Liu, Yisheng Lv, Wenbo Du:
Graph Reinforcement Learning for Multi-Aircraft Conflict Resolution. IEEE Trans. Intell. Veh. 9(3): 4529-4540 (2024) - [j79]Xingyuan Dai, Chao Guo, Yun Tang, Haichuan Li, Yutong Wang, Jun Huang, Yonglin Tian, Xin Xia, Yisheng Lv, Fei-Yue Wang:
VistaRAG: Toward Safe and Trustworthy Autonomous Driving Through Retrieval-Augmented Generation. IEEE Trans. Intell. Veh. 9(4): 4579-4582 (2024) - [c67]Zhishuai Li, Yunhao Nie, Ziyue Li, Lei Bai, Yisheng Lv, Rui Zhao:
Non-Neighbors Also Matter to Kriging: A New Contrastive-Prototypical Learning. AISTATS 2024: 46-54 - [c66]Yiqing Tang, Xingyuan Dai, Chen Zhao, Qi Cheng, Yisheng Lv:
Large Language Model-Driven Urban Traffic Signal Control. ANZCC 2024: 67-71 - [c65]Tongtian Yue, Jie Cheng, Longteng Guo, Xingyuan Dai, Zijia Zhao, Xingjian He, Gang Xiong, Yisheng Lv, Jing Liu:
SC- Tune: Unleashing Self-Consistent Referential Comprehension in Large Vision Language Models. CVPR 2024: 13073-13083 - [c64]Jie Cheng, Gang Xiong, Xingyuan Dai, Qinghai Miao, Yisheng Lv, Fei-Yue Wang:
RIME: Robust Preference-based Reinforcement Learning with Noisy Preferences. ICML 2024 - [c63]Yijia Li, Hao Qi, Fenghua Zhu, Yisheng Lv, Peijun Ye:
Interpretable Autonomous Driving Model Based on Cognitive Reinforcement Learning. IV 2024: 515-520 - [c62]Zeze Si, Peijun Ye, Gang Xiong, Yisheng Lv, Fenghua Zhu:
DATraj: A Dynamic Graph Attention Based Model for Social-Aware Pedestrian Trajectory Prediction. IV 2024: 589-594 - [c61]Tong Xiang, Hongxia Zhao, Fenghua Zhu, Yuanyuan Chen, Yisheng Lv:
Self-Aware Adaptive Alignment: Enabling Accurate Perception for Intelligent Transportation Systems. IV 2024: 595-601 - [i17]Zhishuai Li, Yunhao Nie, Ziyue Li, Lei Bai, Yisheng Lv, Rui Zhao:
Non-Neighbors Also Matter to Kriging: A New Contrastive-Prototypical Learning. CoRR abs/2401.12681 (2024) - [i16]Jie Cheng, Gang Xiong, Xingyuan Dai, Qinghai Miao, Yisheng Lv, Fei-Yue Wang:
RIME: Robust Preference-based Reinforcement Learning with Noisy Preferences. CoRR abs/2402.17257 (2024) - [i15]Chengyang Zhang, Yong Zhang, Qitan Shao, Jiangtao Feng, Bo Li, Yisheng Lv, Xinglin Piao, Baocai Yin:
BjTT: A Large-scale Multimodal Dataset for Traffic Prediction. CoRR abs/2403.05029 (2024) - [i14]Tongtian Yue, Jie Cheng, Longteng Guo, Xingyuan Dai, Zijia Zhao, Xingjian He, Gang Xiong, Yisheng Lv, Jing Liu:
SC-Tune: Unleashing Self-Consistent Referential Comprehension in Large Vision Language Models. CoRR abs/2403.13263 (2024) - [i13]Yihua Shao, Hongyi Cai, Xinwei Long, Weiyi Lang, Zhe Wang, Haoran Wu, Yan Wang, Jiayi Yin, Yang Yang, Yisheng Lv, Zhen Lei:
AccidentBlip2: Accident Detection With Multi-View MotionBlip2. CoRR abs/2404.12149 (2024) - [i12]Zhengxing Lan, Hongbo Li, Lingshan Liu, Bo Fan, Yisheng Lv, Yilong Ren, Zhiyong Cui:
Traj-LLM: A New Exploration for Empowering Trajectory Prediction with Pre-trained Large Language Models. CoRR abs/2405.04909 (2024) - [i11]Qihui Zhu, Shenwen Chen, Tong Guo, Yisheng Lv, Wenbo Du:
A Spatio-Temporal Approach with Self-Corrective Causal Inference for Flight Delay Prediction. CoRR abs/2407.15185 (2024) - [i10]Yonglin Tian, Songlin Bai, Zhiyao Luo, Yutong Wang, Yisheng Lv, Fei-Yue Wang:
MambaOcc: Visual State Space Model for BEV-based Occupancy Prediction with Local Adaptive Reordering. CoRR abs/2408.11464 (2024) - [i9]Jie Bai, Jianwu Fang, Yisheng Lv, Chen Lv, Jianru Xue, Zhengguo Li:
Gating Syn-to-Real Knowledge for Pedestrian Crossing Prediction in Safe Driving. CoRR abs/2409.06707 (2024) - [i8]Enming Zhang, Xingyuan Dai, Yisheng Lv, Qinghai Miao:
MiniDrive: More Efficient Vision-Language Models with Multi-Level 2D Features as Text Tokens for Autonomous Driving. CoRR abs/2409.07267 (2024) - [i7]Jie Cheng, Ruixi Qiao, Gang Xiong, Qinghai Miao, Yingwei Ma, Binhua Li, Yongbin Li, Yisheng Lv:
Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining. CoRR abs/2410.00564 (2024) - 2023
- [j78]Zebing Wei, Hongxia Zhao, Zhishuai Li, Xiaojie Bu, Yuanyuan Chen, Xiqiao Zhang, Yisheng Lv, Fei-Yue Wang:
STGSA: A Novel Spatial-Temporal Graph Synchronous Aggregation Model for Traffic Prediction. IEEE CAA J. Autom. Sinica 10(1): 226-238 (2023) - [j77]Qinghai Miao, Yisheng Lv, Min Huang, Xiao Wang, Fei-Yue Wang:
Parallel Learning: Overview and Perspective for Computational Learning Across Syn2Real and Sim2Real. IEEE CAA J. Autom. Sinica 10(3): 603-631 (2023) - [j76]Qinghai Miao, Wenbo Zheng, Yisheng Lv, Min Huang, Wenwen Ding, Fei-Yue Wang:
DAO to HANOI via DeSci: AI Paradigm Shifts from AlphaGo to ChatGPT. IEEE CAA J. Autom. Sinica 10(4): 877-897 (2023) - [j75]Wei Xu, Chen Zhao, Jie Cheng, Yin Wang, Yiqing Tang, Tao Zhang, Zhiming Yuan, Yisheng Lv, Fei-Yue Wang:
Transformer-Based Macroscopic Regulation for High-Speed Railway Timetable Rescheduling. IEEE CAA J. Autom. Sinica 10(9): 1822-1833 (2023) - [j74]Shuxin Ding, Tao Zhang, Chen Chen, Yisheng Lv, Bin Xin, Zhiming Yuan, Rongsheng Wang, Panos M. Pardalos:
An efficient particle swarm optimization with evolutionary multitasking for stochastic area coverage of heterogeneous sensors. Inf. Sci. 645: 119319 (2023) - [j73]Ge Guo, Wei Yuan, Jinyuan Liu, Yisheng Lv, Wei Liu:
Traffic Forecasting via Dilated Temporal Convolution With Peak-Sensitive Loss. IEEE Intell. Transp. Syst. Mag. 15(1): 48-57 (2023) - [j72]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. IEEE Intell. Transp. Syst. Mag. 15(1): 285-299 (2023) - [j71]Yisheng Lv, Mohamed A. Abdel-Aty:
The University of Central Florida's Smart and Safe Transportation Lab [Its Research Lab]. IEEE Intell. Transp. Syst. Mag. 15(1): 468-475 (2023) - [j70]Wenbo Du, Biyue Li, Jun Chen, Yisheng Lv, Yumeng Li:
A Spatiotemporal Hybrid Model for Airspace Complexity Prediction. IEEE Intell. Transp. Syst. Mag. 15(2): 217-224 (2023) - [j69]Yisheng Lv:
An Introduction to the Connected and Autonomous Transportation Systems Laboratory [Its Research Lab]. IEEE Intell. Transp. Syst. Mag. 15(2): 267-271 (2023) - [j68]Yisheng Lv:
In the Year of the Rabbit, Let Us Make a Fast Leap! [Editor's Column]. IEEE Intell. Transp. Syst. Mag. 15(3): 3-4 (2023) - [j67]Yisheng Lv:
From the Perspective of Education: How to "Raise" Big Transportation Models "in a Well-Rounded Way" [Editor's Column]. IEEE Intell. Transp. Syst. Mag. 15(4): 3-5 (2023) - [j66]Yisheng Lv, Nan Zheng:
Monash Research Center of Automated and Resilient Road Systems [Its Research Lab]. IEEE Intell. Transp. Syst. Mag. 15(4): 166-175 (2023) - [j65]Yisheng Lv:
Artificial Intelligence-Generated Content in Intelligent Transportation Systems: Learning to Copy, Change, and Create! [Editor's Column]. IEEE Intell. Transp. Syst. Mag. 15(5): 2-3 (2023) - [j64]Chao Xiang, Chen Feng, Xiaopo Xie, Botian Shi, Hao Lu, Yisheng Lv, Mingchuan Yang, Zhendong Niu:
Multi-Sensor Fusion and Cooperative Perception for Autonomous Driving: A Review. IEEE Intell. Transp. Syst. Mag. 15(5): 36-58 (2023) - [j63]Yisheng Lv:
Infrastructure Perception and Control Laboratory [ITS Research Lab]. IEEE Intell. Transp. Syst. Mag. 15(5): 134-136 (2023) - [j62]Yisheng Lv:
Large Transportation Models on the Horizon: Challenges and Issues [Editor's Column]. IEEE Intell. Transp. Syst. Mag. 15(6): 3-5 (2023) - [j61]Xiaoxiang Na, Yisheng Lv:
Center for Sustainable Road Freight [ITS Research Lab]. IEEE Intell. Transp. Syst. Mag. 15(6): 234-236 (2023) - [j60]Siqi Fan, Fenghua Zhu, Zunlei Feng, Yisheng Lv, Mingli Song, Fei-Yue Wang:
Conservative-Progressive Collaborative Learning for Semi-Supervised Semantic Segmentation. IEEE Trans. Image Process. 32: 6183-6194 (2023) - [j59]Wenbo Du, Shenwen Chen, Haitao Li, Zhishuai Li, Xianbin Cao, Yisheng Lv:
Airport Capacity Prediction With Multisource Features: A Temporal Deep Learning Approach. IEEE Trans. Intell. Transp. Syst. 24(1): 615-630 (2023) - [j58]Yan-Feng Lu, Jing-Wen Gao, Qian Yu, Yi Li, Yi-Sheng Lv, Hong Qiao:
A Cross-Scale and Illumination Invariance-Based Model for Robust Object Detection in Traffic Surveillance Scenarios. IEEE Trans. Intell. Transp. Syst. 24(7): 6989-6999 (2023) - [j57]Fei-Yue Wang, Yilun Lin, Petros A. Ioannou, Ljubo B. Vlacic, Xiaoming Liu, Azim Eskandarian, Yisheng Lv, Xiaoxiang Na, David Cebon, Jiaqi Ma, Lingxi Li, Cristina Olaverri-Monreal:
Transportation 5.0: The DAO to Safe, Secure, and Sustainable Intelligent Transportation Systems. IEEE Trans. Intell. Transp. Syst. 24(10): 10262-10278 (2023) - [j56]Chao Cheng, Yunfei Ju, Shuiqing Xu, Yisheng Lv, Hongtian Chen:
Local Linear Generalized Autoencoder-Based Incipient Fault Detection for Electrical Drive Systems of High-Speed Trains. IEEE Trans. Intell. Transp. Syst. 24(11): 12422-12430 (2023) - [j55]Yu Guo, Ryan Wen Liu, Jingxiang Qu, Yuxu Lu, Fenghua Zhu, Yisheng Lv:
Asynchronous Trajectory Matching-Based Multimodal Maritime Data Fusion for Vessel Traffic Surveillance in Inland Waterways. IEEE Trans. Intell. Transp. Syst. 24(11): 12779-12792 (2023) - [j54]Chen Zhao, Xiao Wang, Yisheng Lv, Yonglin Tian, Yilun Lin, Fei-Yue Wang:
Parallel Transportation in TransVerse: From Foundation Models to DeCAST. IEEE Trans. Intell. Transp. Syst. 24(12): 15310-15327 (2023) - [j53]Wei Xu, Xingyuan Dai, Chen Zhao, Yiqing Tang, Jie Cheng, Zhiyou Qu, Tao Zhang, Yisheng Lv:
Parallel Testing for Centralized Traffic Control Systems of Intelligent Railways. IEEE Trans. Intell. Veh. 8(9): 4249-4262 (2023) - [j52]Peijun Ye, Hao Qi, Fenghua Zhu, Yisheng Lv:
Counterfactual Evolutionary Reasoning for Virtual Driver Reinforcement Learning in Safe Driving. IEEE Trans. Intell. Veh. 8(12): 4696-4705 (2023) - [j51]Chen Zhao, Xingyuan Dai, Yisheng Lv, Jinglong Niu, Yilun Lin:
Decentralized Autonomous Operations and Organizations in TransVerse: Federated Intelligence for Smart Mobility. IEEE Trans. Syst. Man Cybern. Syst. 53(4): 2062-2072 (2023) - [c60]Bing Song, Gang Xiong, Zhen Shen, Fenghua Zhu, Yisheng Lv, Peijun Ye:
Geometry Problem Solving Based on Counter-Factual Evolutionary Reasoning. CASE 2023: 1-6 - [c59]Xingyuan Dai, Yan Zhang, Yiqing Tang, Chen Zhao, Jiaming Sun, Fei Cong, Yanan Lu, Yisheng Lv:
PATRAS: Pattern-Aware Generalized Traffic Signal Control Based on Parallel Learning. DTPI 2023: 1-6 - [c58]Sheng Liu, Xiaotian Zhuang, Liang Yan, Yu Wang, Yisheng Lv, Fei-Yue Wang:
Large Scale Logistics Network Simulation and Its Application in JD. DTPI 2023: 1-4 - [c57]Yiqing Tang, Xingyuan Dai, Yisheng Lv:
ChatGPT Participates in Traffic Control as a Traffic Manager Assistant. DTPI 2023: 1-6 - [c56]Yuchen Lu, Xiangkai Zhang, Xu Yang, Pin Lv, Liguo Sun, Ryan Wen Liu, Yisheng Lv:
A Deep Graph Matching-Based Method for Trajectory Association in Vessel Traffic Surveillance. ICONIP (2) 2023: 413-424 - [c55]Yunqing Zhang, Xiaotong Zhang, Kunhua Liu, Yisheng Lv, Wei He, Long Chen:
Point Cloud Completion by Larger Receptive Fields for Intelligent Vehicles. ITSC 2023: 5279-5285 - [c54]Fenghua Zhu, Jiachen Hou, Yue Wei, Peijun Ye, Gang Xiong, Yisheng Lv:
Compression Using Feature Score and Refinement for Deep Neural Networks. ITSC 2023: 5300-5305 - [c53]Chen Zhao, Xingyuan Dai, Yuanyuan Chen, Yilun Lin, Yisheng Lv, Fei-Yue Wang:
Parallel Learning Based Foundation Model for Networked Traffic Signal Control. ITSC 2023: 5504-5509 - [c52]Xi Li, Yuanyuan Chen, Yisheng Lv:
MSIT-Det: Multi-Scale Feature Aggregation with Iterative Transformer Networks for 3D Object Detection. ITSC 2023: 5510-5515 - [c51]Bo Lu, Qinghai Miao, Xingyuan Dai, Yisheng Lv:
VCrash: A Closed-Loop Traffic Crash Augmentation with Pose Controllable Pedestrian. ITSC 2023: 5682-5687 - [c50]Yahui Liu, Xingyuan Dai, Jianwu Fang, Bin Tian, Yisheng Lv:
Interaction-Aware Trajectory Prediction with Point Transformer. ITSC 2023: 5694-5699 - [c49]Yunhao Nie, Yuanyuan Chen, Qinghai Miao, Yisheng Lv:
Data Augmentation for Pedestrians in Corner Case: A Pose Distribution Control Approach. ITSC 2023: 5712-5717 - [c48]Hongrui Chen, Yan Zhang, Xingyuan Dai, Jiaming Sun, Fei Cong, Yanan Lu, Bingji Xu, Yisheng Lv:
Accelerating Realistic Multi-Route Traffic Flow Generation Based on Improved Simulated Annealing Algorithms. ITSC 2023: 5724-5729 - [c47]Xingyuan Dai, Yan Zhang, Yiqing Tang, Hongrui Chen, Jiaming Sun, Fei Cong, Yanan Lu, Yisheng Lv:
Parallel System-Based Predictive Control for Traffic Signals in Large-Scale Road Networks. ITSC 2023: 6193-6198 - [c46]Ruijie Xu, Shichao Chen, Wenqiao Sun, Yisheng Lv, Jialiang Luo, Ying Tang:
A SINS Error Correction Approach Based on Dual-Threshold ZV Detection and Cubature Kalman Filter. SMC 2023: 1585-1590 - [c45]Yuanyuan Chen, Yisheng Lv, Fei-Yue Wang:
The DAO to Social Transportation: Towards Smart Mobility in Cyber-Physical-Social Space. SMC 2023: 4289-4294 - [i6]Yu Guo, Ryan Wen Liu, Jingxiang Qu, Yuxu Lu, Fenghua Zhu, Yisheng Lv:
Asynchronous Trajectory Matching-Based Multimodal Maritime Data Fusion for Vessel Traffic Surveillance in Inland Waterways. CoRR abs/2302.11283 (2023) - [i5]Yahui Liu, Bin Tian, Yisheng Lv, Lingxi Li, Feiyue Wang:
Point Cloud Classification Using Content-based Transformer via Clustering in Feature Space. CoRR abs/2303.04599 (2023) - [i4]Jingxiang Qu, Ryan Wen Liu, Chenjie Zhao, Yu Guo, Sendren Sheng-Dong Xu, Fenghua Zhu, Yisheng Lv:
Multi-Task Learning-Enabled Automatic Vessel Draft Reading for Intelligent Maritime Surveillance. CoRR abs/2310.07212 (2023) - [i3]Chengyang Zhang, Yong Zhang, Qitan Shao, Bo Li, Yisheng Lv, Xinglin Piao, Baocai Yin:
ChatTraffic: Text-to-Traffic Generation via Diffusion Model. CoRR abs/2311.16203 (2023) - 2022
- [j50]Yunhu Huang, Dewang Chen, Wendi Zhao, Yisheng Lv:
Fuzzy C-Means Clustering Based Deep Patch Learning With Improved Interpretability for Classification Problems. IEEE Access 10: 49873-49891 (2022) - [j49]Chen Zhao, Xingyuan Dai, Yisheng Lv, Yonglin Tian, Yuhai Ren, Fei-Yue Wang:
Foundation Models for Transportation Intelligence: ITS Convergence in TransVerse. IEEE Intell. Syst. 37(6): 77-82 (2022) - [j48]Yunhu Huang, Dewang Chen, Wendi Zhao, Yisheng Lv, Shiping Wang:
Deep patch learning algorithms with high interpretability for regression problems. Int. J. Intell. Syst. 37(11): 8239-8276 (2022) - [j47]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. IEEE Internet Things J. 9(10): 7842-7852 (2022) - [j46]Hong Wang, Chen Lv, Xiaosong Hu, Yisheng Lv, Lingxi Li, Ehsan Hashemi, Meng Wang:
Special Section on Safety of Automated Driving in Intelligent Transportation Systems [Guest Editorial]. IEEE Intell. Transp. Syst. Mag. 14(2): 8-9 (2022) - [j45]Yisheng Lv:
Lab for Urban Mobility Systems [ITS Research Lab]. IEEE Intell. Transp. Syst. Mag. 14(2): 222-225 (2022) - [j44]Yisheng Lv:
Thomas D. Larson Pennsylvania Transportation Institute [ITS Research Lab]. IEEE Intell. Transp. Syst. Mag. 14(3): 252-255 (2022) - [j43]Xueliang Zhao, Zhishuai Li, Yu Zhang, Yisheng Lv:
Discover Trip Purposes From Cellular Network Data With Topic Modeling. IEEE Intell. Transp. Syst. Mag. 14(4): 37-46 (2022) - [j42]Yisheng Lv:
The Autonomous Vehicles and Electronics Lab [ITS Research Lab]. IEEE Intell. Transp. Syst. Mag. 14(4): 246-250 (2022) - [j41]Yisheng Lv:
TransLab: Transportation Intelligent Computing Laboratory at the University of Brasilia, Brazil [ITS Research Lab]. IEEE Intell. Transp. Syst. Mag. 14(5): 239-245 (2022) - [j40]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. IEEE Intell. Transp. Syst. Mag. 14(6): 6-17 (2022) - [j39]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. IEEE Intell. Transp. Syst. Mag. 14(6): 18-25 (2022) - [j38]Yisheng Lv:
Minnesota Intelligent Transportation Systems Laboratory [ITS Research Lab]. IEEE Intell. Transp. Syst. Mag. 14(6): 237-242 (2022) - [j37]Xingyuan Dai, Chen Zhao, Xiao Wang, Yisheng Lv, Yilun Lin, Fei-Yue Wang:
Image-based traffic signal control via world models. Frontiers Inf. Technol. Electron. Eng. 23(12): 1795-1813 (2022) - [j36]Peijun Ye, Bin Tian, Yisheng Lv, Qijie Li, Fei-Yue Wang:
On Iterative Proportional Updating: Limitations and Improvements for General Population Synthesis. IEEE Trans. Cybern. 52(3): 1726-1735 (2022) - [j35]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. IEEE Trans. Cybern. 52(11): 11397-11406 (2022) - [j34]Chizhan Zhang, Fenghua Zhu, Xiao Wang, Leilei Sun, Haina Tang, Yisheng Lv:
Taxi Demand Prediction Using Parallel Multi-Task Learning Model. IEEE Trans. Intell. Transp. Syst. 23(2): 794-803 (2022) - [j33]Zhishuai Li, Gang Xiong, Yonglin Tian, Yisheng Lv, Yuanyuan Chen, Pan Hui, Xiang Su:
A Multi-Stream Feature Fusion Approach for Traffic Prediction. IEEE Trans. Intell. Transp. Syst. 23(2): 1456-1466 (2022) - [j32]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. IEEE Trans. Intell. Transp. Syst. 23(4): 3190-3200 (2022) - [j31]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. IEEE Trans. Intell. Transp. Syst. 23(7): 7759-7774 (2022) - [j30]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. IEEE Trans. Intell. Transp. Syst. 23(7): 8412-8422 (2022) - [j29]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. IEEE Trans. Intell. Transp. Syst. 23(8): 13178-13189 (2022) - [j28]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. IEEE Trans. Intell. Transp. Syst. 23(8): 13190-13202 (2022) - [j27]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. IEEE Trans. Intell. Transp. Syst. 23(9): 16185-16196 (2022) - [j26]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. IEEE Trans. Intell. Transp. Syst. 23(9): 16410-16420 (2022) - [j25]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. IEEE Trans. Intell. Transp. Syst. 23(11): 21861-21872 (2022) - [j24]Fei-Yue Wang, Javier Ibañez-Guzmán, Yisheng Lv:
Call for V&VIV: Verification and Validation of Intelligent Vehicles. IEEE Trans. Intell. Veh. 7(3): 401-406 (2022) - [c44]Qinghai Miao, Min Huang, Yisheng Lv, Fei-Yue Wang:
Parallel Learning between Science for AI and AI for Science: A Brief Overview and Perspective*. ANZCC 2022: 171-175 - [c43]Yuanyuan Chen, Yisheng Lv:
Mobility Pattern Analysis during 2020 Chinese National Day under the COVID-19 pandemic. ANZCC 2022: 197-200 - [c42]Jingcheng Wang, Yong Zhang, Yisheng Lv, Yongli Hu, Baocai Yin:
Towards City-Scale Traffic Prediction: Cluster Graph Wavelet Networks. ITSC 2022: 1388-1393 - [c41]Peijun Ye, Fenghua Zhu, Yisheng Lv, Xiao Wang, Yuanyuan Chen:
Efficient Calibration of Agent-Based Traffic Simulation Using Variational Auto-Encoder. ITSC 2022: 3077-3082 - [c40]Chen Zhao, Xingyuan Dai, Xiao Wang, Lingxi Li, Yisheng Lv, Fei-Yue Wang:
Learning Transformer-based Cooperation for Networked Traffic Signal Control. ITSC 2022: 3133-3138 - [c39]Xi Li, Siqi Fan, Yuanyuan Chen, Yu-Liang Liu, Shichao Chen, Fenghua Zhu, Yisheng Lv:
PAT: Point Cloud Analysis with Local Filter Embedding in Transformer. ITSC 2022: 3165-3170 - [c38]Bing Song, Gang Xiong, Fenghua Zhu, Xuke Wu, Yisheng Lv, Peijun Ye:
Empirical Learning of Decision Parameters for Agent-Based Model. ITSC 2022: 3194-3199 - [i2]Talha Azfar, Jinlong Li, Hongkai Yu, Ruey Long Cheu, Yisheng Lv, Ruimin Ke:
Deep Learning based Computer Vision Methods for Complex Traffic Environments Perception: A Review. CoRR abs/2211.05120 (2022) - [i1]Siqi Fan, Fenghua Zhu, Zunlei Feng, Yisheng Lv, Mingli Song, Fei-Yue Wang:
Conservative-Progressive Collaborative Learning for Semi-supervised Semantic Segmentation. CoRR abs/2211.16701 (2022) - 2021
- [j23]Yisheng Lv:
Chair for Intelligent Transportation Systems-Sustainable Transport Logistics 4.0. IEEE Intell. Transp. Syst. Mag. 13(3): 270-275 (2021) - [j22]Yisheng Lv:
Laboratory of Emerging Transportation Systems at Chalmers University of Technology [ITS Research Lab]. IEEE Intell. Transp. Syst. Mag. 13(4): 284-288 (2021) - [j21]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. IEEE Trans. Comput. Soc. Syst. 8(3): 737-753 (2021) - [j20]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. IEEE Trans. Intell. Transp. Syst. 22(12): 7887-7890 (2021) - [j19]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. IEEE Trans. Veh. Technol. 70(1): 121-132 (2021) - [c37]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. CVPR 2021: 14504-14513 - [c36]Zhishuai Li, Gang Xiong, Yu Zhang, Meng Zheng, Xisong Dong, Yisheng Lv:
Urban Trip Generation Forecasting Based on Gradient Boosting Algorithm. DTPI 2021: 50-53 - [c35]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. DTPI 2021: 160-163 - [c34]Bing Song, Gang Xiong, Song-min Yu, Peijun Ye, Xisong Dong, Yisheng Lv:
Calibration of Agent-Based Model Using Reinforcement Learning. DTPI 2021: 278-281 - [c33]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. DTPI 2021: 328-331 - [c32]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. GoodIT 2021: 115-120 - [c31]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. ITSC 2021: 1272-1277 - [c30]Yuanyuan Chen, Yisheng Lv, Fenghua Zhu:
Traffic Flow Synthesis Using Generative Adversarial Networks via Semantic Latent Codes Manipulation. ITSC 2021: 1451-1456 - [c29]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. ITSC 2021: 1616-1620 - [c28]Yin Wang, Yisheng Lv, Jianying Zhou, Zhiming Yuan, Qi Zhang, Min Zhou:
A Policy-Based Reinforcement Learning Approach for High-Speed Railway Timetable Rescheduling. ITSC 2021: 2362-2367 - [c27]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. ITSC 2021: 3450-3455 - [c26]Jinhao Xi, Fenghua Zhu, Yuanyuan Chen, Yisheng Lv, Chang Tan, Feiyue Wang:
DDRL: A Decentralized Deep Reinforcement Learning Method for Vehicle Repositioning. ITSC 2021: 3984-3989 - [c25]Liangzhe Han, Bowen Du, Leilei Sun, Yanjie Fu, Yisheng Lv, Hui Xiong:
Dynamic and Multi-faceted Spatio-temporal Deep Learning for Traffic Speed Forecasting. KDD 2021: 547-555 - 2020
- [j18]Yuanyuan Chen, Yisheng Lv, Fei-Yue Wang:
Traffic Flow Imputation Using Parallel Data and Generative Adversarial Networks. IEEE Trans. Intell. Transp. Syst. 21(4): 1624-1630 (2020) - [j17]Fenghua Zhu, Yisheng Lv, Yuanyuan Chen, Xiao Wang, Gang Xiong, Feiyue Wang:
Parallel Transportation Systems: Toward IoT-Enabled Smart Urban Traffic Control and Management. IEEE Trans. Intell. Transp. Syst. 21(10): 4063-4071 (2020) - [c24]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. ITSC 2020: 1-7
2010 – 2019
- 2019
- [j16]Sheng Liang, Xiaoting Zhao, Ruijun Liu, Xiaodong Zhang, Liang Wang, Xinghua Zhang, Yisheng Lv, Fanchao Meng:
Fiber-Optic Auditory Nerve of Ground in the Suburb: For Traffic Flow Monitoring. IEEE Access 7: 166704-166710 (2019) - [j15]Yuanyuan Chen, Yisheng Lv, Xiao Wang, Lingxi Li, Fei-Yue Wang:
Detecting Traffic Information From Social Media Texts With Deep Learning Approaches. IEEE Trans. Intell. Transp. Syst. 20(8): 3049-3058 (2019) - [j14]Seung-Hyun Kong, Yisheng Lv, Hai Le Vu, Juan-Carlos Cano, Jun-Won Choi, Dongsuk Kum, Brendan Tran Morris:
Guest Editorial Introduction to the Special Issue on Intelligent Transportation Systems Empowered by AI Technologies. IEEE Trans. Intell. Transp. Syst. 20(10): 3765-3770 (2019) - [c23]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. ITSC 2019: 1929-1933 - 2018
- [j13]Yisheng Lv, Yuanyuan Chen, Li Li, Fei-Yue Wang:
Generative Adversarial Networks for Parallel Transportation Systems. IEEE Intell. Transp. Syst. Mag. 10(3): 4-10 (2018) - [j12]Chengdong Li, Zixiang Ding, Dianwei Qian, Yisheng Lv:
Data-driven design of the extended fuzzy neural network having linguistic outputs. J. Intell. Fuzzy Syst. 34(1): 349-360 (2018) - [j11]Hao Lu, Kaize Shi, Yifan Zhu, Yisheng Lv, Zhendong Niu:
Sensing Urban Transportation Events from Multi-Channel Social Signals with the Word2vec Fusion Model. Sensors 18(12): 4093 (2018) - [j10]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. IEEE Trans. Comput. Soc. Syst. 5(3): 829-840 (2018) - [j9]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. IEEE Trans. Cybern. 48(12): 3381-3389 (2018) - [c22]Can Luo, Zhen Shen, Simos A. 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. ITSC 2018: 294-299 - [c21]Yuanyuan Chen, Yisheng Lv, Xiao Wang, Fei-Yue Wang:
Traffic Flow Prediction with Parallel Data. ITSC 2018: 614-619 - 2017
- [j8]Yisheng Lv, Yuanyuan Chen, Xiqiao Zhang, Yanjie Duan, Naiqiang Li Li:
Social media based transportation research: the state of the work and the networking. IEEE CAA J. Autom. Sinica 4(1): 19-26 (2017) - [c20]Yuanyuan Chen, Yisheng Lv, Xiao Wang, Fei-Yue Wang:
A convolutional neural network for traffic information sensing from social media text. ITSC 2017: 1-6 - [c19]Danqing Kang, Yisheng Lv, Yuan-yuan Chen:
Short-term traffic flow prediction with LSTM recurrent neural network. ITSC 2017: 1-6 - [c18]Wuling Huang, Yisheng Lv, Long Chen, Fenghua Zhu:
Accelerate the autonomous vehicles reliability testing in parallel paradigm. ITSC 2017: 922-927 - 2016
- [j7]Chengdong Li, Yisheng Lv, Jianqiang Yi, Guiqing Zhang:
Pruned Fast Learning Fuzzy Approach for Data-Driven Traffic Flow Prediction. J. Adv. Comput. Intell. Intell. Informatics 20(7): 1181-1191 (2016) - [c17]Yuan-yuan Chen, Yisheng Lv, Zhenjiang Li, Fei-Yue Wang:
Long short-term memory model for traffic congestion prediction with online open data. ITSC 2016: 132-137 - [c16]Wuling Huang, Kunfeng Wang, Yisheng Lv, Fenghua Zhu:
Autonomous vehicles testing methods review. ITSC 2016: 163-168 - [c15]Yanjie Duan, Yisheng Lv, Fei-Yue Wang:
Travel time prediction with LSTM neural network. ITSC 2016: 1053-1058 - [c14]Yuan-yuan Chen, Yisheng Lv:
Analysis and forecasting of urban traffic condition based on categorical data. SOLI 2016: 113-118 - [c13]Yanjie Duan, Yisheng Lv, Fei-Yue Wang:
Performance evaluation of the deep learning approach for traffic flow prediction at different times. SOLI 2016: 223-227 - 2015
- [j6]Yisheng Lv, Yanjie Duan, Wenwen Kang, Zhengxi Li, Fei-Yue Wang:
Traffic Flow Prediction With Big Data: A Deep Learning Approach. IEEE Trans. Intell. Transp. Syst. 16(2): 865-873 (2015) - [j5]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. IEEE Trans. Intell. Transp. Syst. 16(4): 2182-2191 (2015) - [c12]Gang Xiong, Wenwen Kang, Feiyue Wang, Fenghua Zhu, Yisheng Lv, Xisong Dong, Jukka Riekki, Susanna Pirttikangas:
Continuous Travel Time Prediction for Transit Signal Priority Based on a Deep Network. ITSC 2015: 523-528 - [c11]Yifei Zhao, Fei-Yue Wang, Hang Gao, Fenghua Zhu, Yisheng Lv, Peijun Ye:
Content-Based Recommendation for Traffic Signal Control. ITSC 2015: 1183-1188 - 2014
- [c10]Wenwen Kang, Gang Xiong, Yisheng Lv, Xisong Dong, Fenghua Zhu, Qing-Jie Kong:
Traffic signal coordination for emergency vehicles. ITSC 2014: 157-161 - [c9]Yanjie Duan, Yisheng Lv, Wenwen Kang, Yifei Zhao:
A deep learning based approach for traffic data imputation. ITSC 2014: 912-917 - [c8]Yiefei Zhao, Hang Gao, Yisheng Lv, Yanjie Duan:
Latent factor model for traffic signal control. SOLI 2014: 227-232 - [c7]Yifei Zhao, Hang Gao, Yisheng Lv, Gang Xiong:
The appliaction of recommendation systems. SOLI 2014: 233-237 - 2013
- [j4]Gang Xiong, Xisong Dong, Dong Fan, Fenghua Zhu, Kunfeng Wang, Yisheng Lv:
Parallel Traffic Management System and Its Application to the 2010 Asian Games. IEEE Trans. Intell. Transp. Syst. 14(1): 225-235 (2013) - [c6]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. ICVES 2013: 84-88 - 2012
- [j3]Hairong Dong, Bin Ning, Gao-You Qin, Yisheng Lv, Lefei Li:
Urban Rail Emergency Response Using Pedestrian Dynamics. IEEE Intell. Syst. 27(1): 52-55 (2012) - [c5]Xisong Dong, Gang Xiong, Dong Fan, Fenghua Zhu, Yisheng Lv:
Parallel public transport management and control system for Guangzhou Asian Games. ICNSC 2012: 16-21 - [c4]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. ITSC 2012: 102-107 - [c3]Qinghai Miao, Yisheng Lv, Fenghua Zhu:
A cellular automata based evacuation model on GPU platform. ITSC 2012: 764-768 - [c2]Yisheng Lv, Fenghua Zhu, Qinghai Miao, Peijun Ye, Songhang Chen:
Emergency traffic evacuation control based on the orthogonal experimental design method. ITSC 2012: 1269-1273 - 2011
- [j2]Qinghai Miao, Fenghua Zhu, Yisheng Lv, Changjian Cheng, Cheng Chen, Xiaogang Qiu:
A Game-Engine-Based Platform for Modeling and Computing Artificial Transportation Systems. IEEE Trans. Intell. Transp. Syst. 12(2): 343-353 (2011) - [c1]Fenghua Zhu, Fei-Yue Wang, Runmei Li, Yisheng Lv, Songhang Chen:
Modeling and analyzing transportation systems based on ACP approach. ITSC 2011: 2136-2141
2000 – 2009
- 2009
- [j1]Hongxia Zhao, Shuming Tang, Yisheng Lv:
Generating artificial popullations for traffic microsimulation. IEEE Intell. Transp. Syst. Mag. 1(3): 22-28 (2009)
Coauthor Index
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