Automatic Intersection Management in Mixed Traffic Using Reinforcement Learning and Graph Neural Networks
Author:
Affiliation:
1. Robert Bosch GmbH, Corporate Research,Renningen,Germany,D-71272
2. Ulm University,Institute of Measurement, Control and Microtechnology,Ulm,Germany,D-89081
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10186382/10186383/10186800.pdf?arnumber=10186800
Reference35 articles.
1. Extending the Intelligent Driver Model in SUMO and Verifying the Drive Off Trajectories with Aerial Measurements;salles;Sumo User Conference,2020
2. Cooperative Maneuver Planning for Mixed Traffic at Unsignalized Intersections Using Probabilistic Predictions;mertens;2022 IEEE Intelligent Vehicles Symposium (IV),2022
3. Congested traffic states in empirical observations and microscopic simulations
4. Decentralized Cooperative Planning for Automated Vehicles with Hierarchical Monte Carlo Tree Search
5. A survey on motion prediction and risk assessment for intelligent vehicles
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