Microscopic modeling of attention-based movement behaviors

This repository contains the simulator code for the paper "Microscopic modeling of attention-based movement behaviors" by Danrui Li, Mathew Schwartz, Samuel S. Sohn, Sejong Yoon, Vladimir Pavlovic, and Mubbasir Kapadia.

The paper is published in Transportation Research Part C: Emerging Technologies (Link to paper).

Project webpage: https://danruili.github.io/AttentionMove/

How will attention affect walking speed in retail areas? We model how pedestrians will be attracted to environmental objects and how this will slow down their walking speed. Then we show how our model can help optimize the design of retail areas in transportation hubs.

Bibtex

@article{LI2024104583,
        title = {Microscopic modeling of attention-based movement behaviors},
        journal = {Transportation Research Part C: Emerging Technologies},
        volume = {162},
        pages = {104583},
        year = {2024},
        issn = {0968-090X},
        doi = {https://doi.org/10.1016/j.trc.2024.104583},
        url = {https://www.sciencedirect.com/science/article/pii/S0968090X24001049},
        author = {Danrui Li and Mathew Schwartz and Samuel S. Sohn and Sejong Yoon and Vladimir Pavlovic and Mubbasir Kapadia},
        keywords = {Pedestrian dynamics, Visual attention, Retail environment, Transportation hubs, Architectural design},
        }