A Dynamic Bayesian Network Based Merge Mechanism for Autonomous Vehicles

Authors

  • Kherroubi Zine el Abidine Groupe Renault
  • Aknine Samir Claude Bernard Lyon 1 University
  • Bacha Rebiha Groupe Renault

DOI:

https://doi.org/10.1609/aaai.v33i01.33019953

Abstract

This work explores the design of a central collaborative driving strategy between connected cars with the objective of improving road safety in case of highway on-ramp merging scenario. Based on a suitable method for predicting vehicle motion and behavior for a central collaborative strategy, a dynamic Bayesian network method that predicts the intention of drivers in highway on-ramp is proposed. The method was validated using real data of detailed vehicle trajectories on a segment of interstate 80 in Emeryville, California.

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Published

2019-07-17

How to Cite

Zine el Abidine, K., Samir, A., & Rebiha, B. (2019). A Dynamic Bayesian Network Based Merge Mechanism for Autonomous Vehicles. Proceedings of the AAAI Conference on Artificial Intelligence, 33(01), 9953-9954. https://doi.org/10.1609/aaai.v33i01.33019953

Issue

Section

Student Abstract Track