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NetTraj: A Network-based Vehicle Trajectory Prediction Model with
  Directional Representation and Spatiotemporal Attention Mechanisms
v1v2 (latest)

NetTraj: A Network-based Vehicle Trajectory Prediction Model with Directional Representation and Spatiotemporal Attention Mechanisms

21 June 2021
Yuebing Liang
Zhan Zhao
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "NetTraj: A Network-based Vehicle Trajectory Prediction Model with Directional Representation and Spatiotemporal Attention Mechanisms"

11 / 11 papers shown
Title
Semi-decentralized Federated Time Series Prediction with Client Availability Budgets
Semi-decentralized Federated Time Series Prediction with Client Availability BudgetsConference on Computer Communications Workshops (INFOCOM Workshops), 2025
Yunkai Bao
Reza Safarzadeh
Xin Eric Wang
Steve Drew
76
0
0
03 Sep 2025
Analyzing sequential activity and travel decisions with interpretable deep inverse reinforcement learning
Analyzing sequential activity and travel decisions with interpretable deep inverse reinforcement learning
Yuebing Liang
Shenhao Wang
Jiangbo Yu
Zhan Zhao
Jinhua Zhao
Sandy Pentland
183
0
0
17 Mar 2025
INTENT: Trajectory Prediction Framework with Intention-Guided Contrastive Clustering
Yihong Tang
Wei-Ying Ma
229
2
0
06 Mar 2025
Spatial Temporal Attention based Target Vehicle Trajectory Prediction for Internet of Vehicles
Ouhan Huang
Huanle Rao
Xiaowen Cai
Tianyun Wang
Aolong Sun
Sizhe Xing
Yifan Sun
Gangyong Jia
50
0
0
03 Jan 2025
NEST: A Neuromodulated Small-world Hypergraph Trajectory Prediction
  Model for Autonomous Driving
NEST: A Neuromodulated Small-world Hypergraph Trajectory Prediction Model for Autonomous DrivingAAAI Conference on Artificial Intelligence (AAAI), 2024
Chengyue Wang
Haicheng Liao
Bonan Wang
Yanchen Guan
Bin Rao
Ziyuan Pu
Zhiyong Cui
Chengzhong Xu
Hui Yuan
GNN
435
14
0
16 Dec 2024
Traj-LLM: A New Exploration for Empowering Trajectory Prediction with
  Pre-trained Large Language Models
Traj-LLM: A New Exploration for Empowering Trajectory Prediction with Pre-trained Large Language Models
Zhengxing Lan
Hongbo Li
Lingshan Liu
Bo Fan
Yisheng Lv
Yilong Ren
Zhiyong Cui
187
0
0
08 May 2024
UVTM: Universal Vehicle Trajectory Modeling with ST Feature Domain Generation
UVTM: Universal Vehicle Trajectory Modeling with ST Feature Domain GenerationIEEE Transactions on Knowledge and Data Engineering (TKDE), 2024
Yan Lin
Jilin Hu
Shengnan Guo
Bin Yang
Christian S. Jensen
Youfang Lin
Huaiyu Wan
342
1
0
11 Feb 2024
Explainable Trajectory Representation through Dictionary Learning
Explainable Trajectory Representation through Dictionary Learning
Yuanbo Tang
Zhiyuan Peng
Yang Li
119
6
0
13 Dec 2023
VT-Former: An Exploratory Study on Vehicle Trajectory Prediction for
  Highway Surveillance through Graph Isomorphism and Transformer
VT-Former: An Exploratory Study on Vehicle Trajectory Prediction for Highway Surveillance through Graph Isomorphism and Transformer
Armin Danesh Pazho
Ghazal Alinezhad Noghre
Vinit Katariya
Hamed Tabkhi
231
14
0
11 Nov 2023
A deep inverse reinforcement learning approach to route choice modeling
  with context-dependent rewards
A deep inverse reinforcement learning approach to route choice modeling with context-dependent rewardsTransportation Research Part C: Emerging Technologies (TRC), 2022
Zhan Zhao
Yuebing Liang
161
46
0
18 Jun 2022
Dynamic Spatiotemporal Graph Convolutional Neural Networks for Traffic
  Data Imputation with Complex Missing Patterns
Dynamic Spatiotemporal Graph Convolutional Neural Networks for Traffic Data Imputation with Complex Missing Patterns
Yuebing Liang
Zhan Zhao
Lijun Sun
GNNAI4TS
156
76
0
17 Sep 2021
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