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Publication search results
found 635 matches
- 2024
- AbiramiKrishna Ashok, Bhargava Rama Chilukuri:
A Framework to Characterise, Estimate, and Predict Vehicle Class-Agnostic Traffic States and Class-Wise Speeds for Mixed Traffic Conditions. IEEE Access 12: 106211-106235 (2024) - Shuangzhi Yu, Jiankun Peng, Yuming Ge, Xinlian Yu, Fan Ding, Shen Li, Charlie Ma:
A traffic state prediction method based on spatial-temporal data mining of floating car data by using autoformer architecture. Comput. Aided Civ. Infrastructure Eng. 39(18): 2774-2787 (2024) - Chenguang Zhao, Huan Yu:
Safe Stabilizing Control of Traffic Systems With Simultaneous State and Actuator Delays. IEEE Control. Syst. Lett. 8: 1997-2002 (2024) - Qixiu Cheng, Yuqian Lin, Xuesong (Simon) Zhou, Zhiyuan Liu:
Analytical formulation for explaining the variations in traffic states: A fundamental diagram modeling perspective with stochastic parameters. Eur. J. Oper. Res. 312(1): 182-197 (2024) - D. Deva Hema, K. Ashok Kumar:
Novel optimised deep learning approach for an efficient traffic state prediction based on CAE-ICCDCS-GRU model. Int. J. Bio Inspired Comput. 23(2): 80-98 (2024) - Jinlei Zhang, Shuai Mao, Lixing Yang, Wei Ma, Shukai Li, Ziyou Gao:
Physics-informed deep learning for traffic state estimation based on the traffic flow model and computational graph method. Inf. Fusion 101: 101971 (2024) - Jianzhe Xue, Yunting Xu, Wen Wu, Tianqi Zhang, Qinghong Shen, Haibo Zhou, Weihua Zhuang:
Sparse Mobile Crowdsensing for Cost-Effective Traffic State Estimation With Spatio-Temporal Transformer Graph Neural Network. IEEE Internet Things J. 11(9): 16227-16242 (2024) - Haipeng Cui, Shukai Chen, Hua Wang, Qiang Meng:
Network-level short-term traffic state prediction incorporating critical nodes: A knowledge-based deep fusion approach. Inf. Sci. 662: 120215 (2024) - Shohei Yasuda, Hiroki Katayama, Wataru Nakanishi, Takamasa Iryo:
Trajectory Data-Driven Network Representation for Traffic State Prediction using Deep Learning. Int. J. Intell. Transp. Syst. Res. 22(1): 136-145 (2024) - Seiran Heshami, Lina Kattan:
A stochastic microscopic based freeway traffic state and spatial-temporal pattern prediction in a connected vehicle environment. J. Intell. Transp. Syst. 28(3): 313-339 (2024) - Mehdi Hosseinzadeh, Saqib Ali, Amir Masoud Rahmani, Jan Lansky, Vladimir Nulicek, Mohammad Sadegh Yousefpoor, Efat Yousefpoor, Aso Darwesh, Sang-Woong Lee:
A smart filtering-based adaptive optimized link state routing protocol in flying ad hoc networks for traffic monitoring. J. King Saud Univ. Comput. Inf. Sci. 36(5): 102034 (2024) - Lina Guan, Christophe Prieur, Liguo Zhang, Rafael Vazquez:
State observation for heterogeneous quasilinear traffic flow system with disturbances. Math. Control. Signals Syst. 36(3): 601-628 (2024) - Runhan Xie, Isaac Grosof, Ziv Scully:
Heavy-Traffic Optimal Size- and State-Aware Dispatching. Proc. ACM Meas. Anal. Comput. Syst. 8(1): 9:1-9:36 (2024) - Elena Campi, Gianpiero Mastinu, Giorgio Previati, Luca Studer, Lorenzo Uccello:
Roundabouts: Traffic Simulations of Connected and Automated Vehicles - A State of the Art. IEEE Trans. Intell. Transp. Syst. 25(5): 3305-3325 (2024) - Hossein Rastgoftar, Hamid Emadi, Ella M. Atkins:
A Finite-State Fixed-Corridor Model for UAS Traffic Management. IEEE Trans. Intell. Transp. Syst. 25(3): 2322-2330 (2024) - Qihang Xu, Yutian Pang, Xuesong Zhou, Yongming Liu:
PIGAT: Physics-Informed Graph Attention Transformer for Air Traffic State Prediction. IEEE Trans. Intell. Transp. Syst. 25(9): 12561-12577 (2024) - Chenguang Zhao, Huan Yu:
Observer-Informed Deep Learning for Traffic State Estimation With Boundary Sensing. IEEE Trans. Intell. Transp. Syst. 25(2): 1602-1611 (2024) - Linqiang Huang, Miao Ye, Xingsi Xue, Yong Wang, Hongbing Qiu, Xiaofang Deng:
Intelligent routing method based on Dueling DQN reinforcement learning and network traffic state prediction in SDN. Wirel. Networks 30(5): 4507-4525 (2024) - Kai-Fung Chu, Chenchen Fan, Fumiya Iida:
Navigating Mixed Traffic: Current State and Future Challenges in Integrating Autonomous and Human-Driven Vehicles. ARSO 2024: 241-246 - Konrad Altenhofen, Julian Zobel, Björn Scheuermann:
State Tracking and Verification for Distributed Nodes through Traffic Inspection. DEBS 2024: 187-188 - Anupama Guntu, Daryl Mupupuni, Liang Hong, Kamrul Hasan, Leehyun Keel:
Traffic State Estimation Using Hybrid Physics-Regulated Deep Transfer Learning Approach. EIT 2024: 221-228 - Daryl Mupupuni, Anupama Guntu, Liang Hong, Kamrul Hasan, Leehyun Keel:
Science based AI model certification for new operational environments with application in traffic state estimation. EIT 2024: 303-309 - Qianyu Cheng, Teng Wang, Chao Wang:
Ph.D. Project: Optimizing the Data Traffic for Large Graph Processing on FPGA via a Stateful Approach. FCCM 2024: 1-2 - Qiu-Li Gu, Keren Wang, Xiaofu Fan:
Pre-shift State Assessment of Air Traffic Controllers Based on Improved Grey Correlation Theory. HCI (10) 2024: 202-222 - Andrew Chu, Xi Jiang, Shinan Liu, Arjun Nitin Bhagoji, Francesco Bronzino, Paul Schmitt, Nick Feamster:
Feasibility of State Space Models for Network Traffic Generation. NAIC 2024: 9-17 - Runhan Xie, Isaac Grosof, Ziv Scully:
Heavy-Traffic Optimal Size- and State-Aware Dispatching. SIGMETRICS/Performance (Abstracts) 2024: 7-8 - Moritz Schweppenhäuser, Karl Schrab, Robert Protzmann, Ilja Radusch:
Traffic State Estimation on Urban Roads Using Perception-Enriched Floating Car Data. VEHITS 2024: 99-111 - Hao Zhou, Dunyuan Yao, Binbin Chen, Ke Yu, Xiaofei Wu:
Graph Convolution Network Based State Space Model for Wireless Traffic Prediction. WCNC 2024: 1-6 - Qiqing Wang, Kaidi Yang:
Privacy-Preserving Data Fusion for Traffic State Estimation: A Vertical Federated Learning Approach. CoRR abs/2401.11836 (2024) - Daryl Mupupuni, Anupama Guntu, Liang Hong, Kamrul Hasan, Leehyun Keel:
Science based AI model certification for untrained operational environments with application in traffic state estimation. CoRR abs/2403.14093 (2024)
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