Decision support for traffic safety: case of rear-end collision modelling
Author:
Affiliation:
1. Decision Support Systems Laboratory, Faculty of Information Studies, Novo mesto, Slovenia
Funder
Slovenian Research and Innovation Agency
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/12460125.2024.2372481
Reference31 articles.
1. Barbo, M., & Rodič, B. (2021). Motorcycle Emergency Braking Warning System – traffic safety innovation using off-the-shelf technology. Proceedings of the 5th International Scientific Conference (EMAN 2021). Economics and Management: How to Cope With Disrupted Times (pp. 507–512). https://doi.org/10.31410/EMAN.2021.507
2. Modeling the influence of safety aid market penetration on traffic safety: Case of collision warning system for powered two-wheelers
3. A Collision Warning System for rear-end collision: a driving simulator study
4. Analysis of rear-end crash potential and driver contributing factors based on car-following driving simulation
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