mlsanityData to 7 Oct 2026

Data-driven generation of spatio-temporal routines in human mobility

arXiv 1607.05952 ↗First posted 16 Jul 2016cs.SI cs.LG physics.data-ancited by 19

Not on the map. Why?

Abstract (arXiv)

The generation of realistic spatio-temporal trajectories of human mobility is of fundamental importance in a wide range of applications, such as the developing of protocols for mobile ad-hoc networks or what-if analysis in urban ecosystems. Current generative algorithms fail in accurately reproducing the individuals' recurrent schedules and at the same time in accounting for the possibility that individuals may break the routine during periods of variable duration. In this article we present DITRAS (DIary-based TRAjectory Simulator), a framework to simulate the spatio-temporal patterns of human mobility. DITRAS operates in two steps: the generation of a mobility diary and the translation of the mobility diary into a mobility trajectory. We propose a data-driven algorithm which constructs a diary generator from real data, capturing the tendency of individuals to follow or break their routine. We also propose a trajectory generator based on the concept of preferential exploration and preferential return. We instantiate DITRAS with the proposed diary and trajectory generators and compare the resulting algorithm with real data and synthetic data produced by other generative algorithms, built by instantiating DITRAS with several combinations of diary and trajectory generators. We show that the proposed algorithm reproduces the statistical properties of real trajectories in the most accurate way, making a step forward the understanding of the origin of the spatio-temporal patterns of human mobility.

Key facts. Cited by 19 papers in the map (data through 7 Oct 2026). First posted on arXiv 16 Jul 2016.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 3; 2023: 3; 2024: 5; 2025: 3; 2026: 5.

19 papers.

Sort:

By area:

  1. 2024Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generationcited by 99
  2. 2024Be More Real: Travel Diary Generation Using LLM Agents and Individual Profilescited by 22
  3. 2023Spatiotemporal-Augmented Graph Neural Networks for Human Mobility Simulationcited by 15
  4. 2024Deep Activity Model: A Generative Approach for Human Mobility Pattern Synthesiscited by 10
  5. 2024PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learningcited by 8
  6. 2024Revisiting Synthetic Human Trajectories: Imitative Generation and Benchmarks Beyond Datasauruscited by 8
  7. 2022Generating synthetic mobility data for a realistic population with RNNs to improve utility and privacycited by 6
  8. 2023CATS: Conditional Adversarial Trajectory Synthesis for Privacy-Preserving Trajectory Data Publication Using Deep Learning Approachescited by 6
  9. 2022Generating Synthetic Mobility Networks with Generative Adversarial Networkscited by 5
  10. 2022Human Mobility Prediction with Causal and Spatial-constrained Multi-task Networkcited by 5
  11. 2023Explanation-Guided Fair Federated Learning for Transparent 6G RAN Slicingcited by 1
  12. 2026CityBehavEx: A Scalable and Empirically Validated LLM-Assisted Urban Simulation Platformcited by 1
7 more
  1. 2025The Urban Impact of AI: Modeling Feedback Loops in Next-Venue Recommendationcited by 0
  2. 2025Deep Generative Model for Human Mobility Behaviorcited by 0
  3. 2025M-STAR: Multi-Scale Spatiotemporal Autoregression for Human Mobility Modelingcited by 0
  4. 2026MobEvolve: An Agentic Self-Evolving Heuristic System for Interpretable Human Mobility Generationcited by 0
  5. 2026GenWorld: Empirically Grounded Urban Simulation Infrastructure for Scalable LLM-Agent Studiescited by 0
  6. 2026Towards Inclusive Mobility Modeling: Characterizing and Evaluating Elderly Trajectory Patterns in Urban Systemscited by 0
  7. 2026Relative Transitions, Not Absolute Destinations: A Transfer-and-Ground Framework for Target-Trajectory-Free Human Mobility Generationcited by 0