mlsanityData to 7 Oct 2026

Diff-RNTraj: A Structure-aware Diffusion Model for Road Network-constrained Trajectory Generation

arXiv 2402.07369 ↗First posted 12 Feb 2024cs.LGcited by 28

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Abstract (arXiv)

Trajectory data is essential for various applications as it records the movement of vehicles. However, publicly available trajectory datasets remain limited in scale due to privacy concerns, which hinders the development of trajectory data mining and trajectory-based applications. To address this issue, some methods for generating synthetic trajectories have been proposed to expand the scale of the dataset. However, all existing methods generate trajectories in the geographical coordinate system, which poses two limitations for their utilization in practical applications: 1) the inability to ensure that the generated trajectories are constrained on the road. 2) the lack of road-related information. In this paper, we propose a new problem to meet the practical application need, i.e., road network-constrained trajectory (RNTraj) generation, which can directly generate trajectories on the road network with road-related information. RNTraj is a hybrid type of data, in which each point is represented by a discrete road segment and a continuous moving rate. To generate RNTraj, we design a diffusion model called Diff-RNTraj. This model can effectively handle the hybrid RNTraj using a continuous diffusion framework by incorporating a pre-training strategy to embed hybrid RNTraj into continuous representations. During the sampling stage, a RNTraj decoder is designed to map the continuous representation generated by the diffusion model back to the hybrid RNTraj format. Furthermore, Diff-RNTraj introduces a novel loss function to enhance the spatial validity of the generated trajectories. Extensive experiments conducted on two real-world trajectory datasets demonstrate the effectiveness of the proposed model.

Key facts. Cited by 28 papers in the map (data through 7 Oct 2026). Builds on 30 of its 63 references that are in the map. First posted on arXiv 12 Feb 2024.

Builds on

30 of 63 references.

References · 30

  1. 2020Denoising Diffusion Probabilistic Modelscited by 20,851
  2. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
  3. 2020Denoising Diffusion Implicit Modelscited by 9,655
  4. 2020Score-Based Generative Modeling through Stochastic Differential Equationscited by 8,964
  5. 2015Deep Unsupervised Learning using Nonequilibrium Thermodynamicscited by 7,005
  6. 2022Classifier-Free Diffusion Guidancecited by 5,717
  7. 2016node2vec: Scalable Feature Learning for Networkscited by 1,913
  8. 2022Imagen Video: High Definition Video Generation with Diffusion Modelscited by 1,765
  9. 2021Structured Denoising Diffusion Models in Discrete State-Spacescited by 1,665
  10. 2016Generative Adversarial Imitation Learningcited by 1,576
  11. 2020DiffWave: A Versatile Diffusion Model for Audio Synthesiscited by 1,339
  12. 2022Diffusion Models: A Comprehensive Survey of Methods and Applicationscited by 1,107
18 more
  1. 2022Diffusion-LM Improves Controllable Text Generationcited by 1,006
  2. 2019An Introduction to Variational Autoencoderscited by 997
  3. 2021Vector Quantized Diffusion Model for Text-to-Image Synthesiscited by 773
  4. 2020WaveGrad: Estimating Gradients for Waveform Generationcited by 620
  5. 2023AudioLDM: Text-to-Audio Generation with Latent Diffusion Modelscited by 592
  6. 2016SeqGAN: Sequence Generative Adversarial Nets with Policy Gradientcited by 375
  7. 2015A Recurrent Latent Variable Model for Sequential Datacited by 362
  8. 2022Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioningcited by 362
  9. 2022MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and Interpolationcited by 307
  10. 2020Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Searchcited by 269
  11. 2022A Survey on Generative Diffusion Modelcited by 238
  12. 2022DiffusionBERT: Improving Generative Masked Language Models with Diffusion Modelscited by 214
  13. 2021Diff-TTS: A Denoising Diffusion Model for Text-to-Speechcited by 156
  14. 2021DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanismcited by 154
  15. 2023DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Modelcited by 64
  16. 2020TrajGAIL: Generating Urban Vehicle Trajectories using Generative Adversarial Imitation Learningcited by 46
  17. 2021Global Context with Discrete Diffusion in Vector Quantised Modelling for Image Generationcited by 40
  18. 2023Continuous Trajectory Generation Based on Two-Stage GANcited by 36

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 6; 2025: 10; 2026: 12.

28 papers.

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  1. 2024A Survey on Diffusion Models for Time Series and Spatio-Temporal Datacited by 66
  2. 2024Trajectory Data Management and Mining: A Survey from Deep Learning to the LLM Eracited by 23
  3. 2024A Survey of Generative Techniques for Spatial-Temporal Data Miningcited by 14
  4. 2025DDAT: Diffusion Policies Enforcing Dynamically Admissible Robot Trajectoriescited by 14
  5. 2025Modeling Human Gaze Behavior with Diffusion Models for Unified Scanpath Predictioncited by 7
  6. 2025TransferTraj: A Vehicle Trajectory Learning Model for Region and Task Transferabilitycited by 4
  7. 2025Leveraging the Spatial Hierarchy: Coarse-to-fine Trajectory Generation via Cascaded Hybrid Diffusioncited by 4
  8. 2026TrajFlow: Nation-wide Pseudo GPS Trajectory Generation with Flow Matching Modelscited by 4
  9. 2024FollowGen: A Scaled Noise Conditional Diffusion Model for Car-Following Trajectory Predictioncited by 3
  10. 2026Bus-Conditioned Zero-Shot Trajectory Generation via Task Arithmeticcited by 2
  11. 2024TrajWeaver: Trajectory Recovery with State Propagation Diffusion Modelcited by 0
  12. 2024PLMTrajRec: A Scalable and Generalizable Trajectory Recovery Method with Pre-trained Language Modelscited by 0
16 more
  1. 2025DiffMOD: Progressive Diffusion Point Denoising for Moving Object Detection in Remote Sensingcited by 0
  2. 2025What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation?cited by 0
  3. 2025Traj-Transformer: Diffusion Models with Transformer for GPS Trajectory Generationcited by 0
  4. 2025Dynamic Population Distribution Aware Human Trajectory Generation with Diffusion Modelcited by 0
  5. 2025Learning to Land Anywhere: Transferable Generative Models for Aircraft Trajectoriescited by 0
  6. 2025M-STAR: Multi-Scale Spatiotemporal Autoregression for Human Mobility Modelingcited by 0
  7. 2026TrajGPT-R: Generating Urban Mobility Trajectory with Reinforcement Learning-Enhanced Generative Pre-trained Transformercited by 0
  8. 2026Learning Demographic-Conditioned Mobility Trajectories with Aggregate Supervisioncited by 0
  9. 2026TRACE: Trajectory Recovery with State Propagation Diffusion for Urban Mobilitycited by 0
  10. 2026InsTraj: Instructing Diffusion Models with Travel Intentions to Generate Real-world Trajectoriescited by 0
  11. 2026Privacy Evaluation of Generative Models for Trajectory Generationcited by 0
  12. 2026CityTrajBench: A Unified Benchmark for City-Scale Vehicle Trajectory Generationcited by 0
  13. 2026TDDM-Melatt: A Decoupled Memory and Diffusion Framework for Generalizable Encrypted Traffic Classificationcited by 0
  14. 2026Editable Map-Conditioned Trajectory Generation for Human Mobility Simulationcited by 0
  15. 2026Plan-to-Synthesis: Cross-City Human Mobility Generation via Semantic Latent Flow Matchingcited by 0
  16. 2026Relative Transitions, Not Absolute Destinations: A Transfer-and-Ground Framework for Target-Trajectory-Free Human Mobility Generationcited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2024ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model
  2. 2026TrajDLM: Topology-Aware Block Diffusion Language Model for Trajectory Generation
  3. 2025Understanding and Mitigating the High Computational Cost in Path Data Diffusion
  4. 2026Coarse-to-Fine Multi-Resolution Diffusion Models for Trajectory Generation in Urban Systems
  5. 2024Map2Traj: Street Map Piloted Zero-shot Trajectory Generation with Diffusion Model
  6. 2025One Fits All: General Mobility Trajectory Modeling via Masked Conditional Diffusion
  7. 2024TrajDiffuse: A Conditional Diffusion Model for Environment-Aware Trajectory Prediction
  8. 2022Estimating Link Flows in Road Networks with Synthetic Trajectory Data Generation: Reinforcement Learning-based Approaches