COMPREHENSIVE AUTOMATED DRIVING MANEUVERS UNDER A NON-SIGNALIZED INTERSECTION ADOPTING DEEP REINFORCEMENT LEARNING

Comprehensive Automated Driving Maneuvers under a Non-Signalized Intersection Adopting Deep Reinforcement Learning

Automated driving systems have become a potential approach to mitigating collisions, emissions, and human errors in mixed-traffic environments.This study proposes the use of a deep reinforcement learning method to verify the effects of comprehensive automated vehicle movements at a non-signalized intersection according to training policy and measur

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Vehicle Load Estimation Using the Reaction Force of a Vertical Displacement Sensor Based on Fiber Bragg Grating

Accurately calculating the vehicle load acting on a bridge at any one time shoprider streamer parts is crucial to determining the integrity and safety of the bridge.To ensure this integrity and safety, information on the types, characteristics, and load of vehicles that regularly cross the bridge is very important in terms of its structural adequac

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