Research Data Leeds Repository

Citation

Bitar, Isam and Solernou Crusat, Albert and Romano, Richard and Watling, David (2024) Model and Data: To signal or not to signal? A non-cooperative game-theoretic approach to discretionary communication between road users. University of Leeds. [Dataset] https://doi.org/10.5518/1608

Dataset description

This dataset contains the results and the Python files which constitute the simulation package used in the paper. Reciprocal communication between road users is a vital element of road user interaction. Previous work has shown that non-cooperative game theory can effectively model and characterise communicative behaviour between road users and produce emergent benefits for both the issuer and recipient of communicative signals. We build on these findings by introducing discretionary communication to gain an advantage over the other road user by masking one’s intent if beneficial to do so. We conduct a series of experiments with simulated interactions and compare interaction outcomes where communication is mandatory against those where communication is discretionary. Our findings further support the conclusion that non-cooperative game theory is an effective paradigm for modelling and producing emergent behaviours which benefit the network. Moreover, we see that including a layer of discretionary communication reaps benefits in interaction outcome to the communicator. It also provides benefits in safety to all parties involved above and beyond the benefits seen from mandatory communication.

Keywords:	Game theory, Communication, Cheap talk, Non-cooperative games, Bayesian games, Emergent cooperation, Discretionary communication, First mover advantage
Divisions:	Faculty of Environment > Institute for Transport Studies
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	29 Nov 2024 16:48
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/1348
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Bitar, Isam https://orcid.org/0000-0002-5130-0148 University of Leeds https://ror.org/024mrxd33 ror Solernou Crusat, Albert https://orcid.org/0000-0003-4857-0240 University of Leeds https://ror.org/024mrxd33 ror Romano, Richard https://orcid.org/0000-0002-2132-4077 University of Leeds https://ror.org/024mrxd33 ror Watling, David https://orcid.org/0000-0002-6193-9121 University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Research funders: EPSRC Grant numbers: EP/R513258/1 Publication date: 2024 Resource language: English Metadata language: English Publisher: University of Leeds Contact email: ts14isb@leeds.ac.uk Last Modified: 02 Dec 2024 09:23

Files

Documentation

README_Bitar-etal_2024 [2kB] README_Bitar-etal_2024 [2kB] README_Bitar-etal_2024 [2kB] Security: Anyone File name: README_Bitar-etal_2024.md Content type: Documentation Description: ReadMe file (MarkDown format) License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 2kB

Data

Results [158MB] Results [158MB] Results [158MB] Security: Anyone File name: Results.zip Content type: Data Description: Zip file containing the raw results used in the associated publication. Includes two Excel .xlsx files. Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 158MB

Program

Main [3kB] Main [3kB] Main [3kB] Security: Anyone File name: Main.py Content type: Program Description: Main programme file. Use this to run the simulation License: GNU General Public License (GNU GPL 3.0) File size: 3kB

Vehicles [37kB] Vehicles [37kB] Vehicles [37kB] Security: Anyone File name: Vehicles.py Content type: Program Description: Programme file associated with the behaviour of model vehicles License: GNU General Public License (GNU GPL 3.0) File size: 37kB

MinorFunctions [4kB] MinorFunctions [4kB] MinorFunctions [4kB] Security: Anyone File name: MinorFunctions.py Content type: Program Description: Programme file associated with miscellaneous functions License: GNU General Public License (GNU GPL 3.0) File size: 4kB

Logger [2kB] Logger [2kB] Logger [2kB] Security: Anyone File name: Logger.py Content type: Program Description: Programme file associated with outputting results to files License: GNU General Public License (GNU GPL 3.0) File size: 2kB