TOWARD LEARNING HUMAN-LIKE, SAFE AND COMFORTABLE CAR-FOLLOWING POLICIES WITH A NOVEL DEEP REINFORCEMENT LEARNING APPROACH

Toward Learning Human-Like, Safe and Comfortable Car-Following Policies With a Novel Deep Reinforcement Learning Approach

In this paper, we present an advanced adaptive cruise control (ACC) concept powered by Deep Reinforcement Learning (DRL) that generates safe, human-like, and comfortable car-following policies.Unlike the current trend in developing DRL-based ACC systems, we propose defining the action space of the DRL agent with discrete actions rather than continu

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Algorithm for Producing Rankings Based on Expert Surveys

This paper develops an automated algorithm to process input data for segmented string relative rankings (SSRRs).The purpose of the SSRR methodology is to create rankings of countries, companies, or any other units based on surveys of expert opinion.This is done without the use of grading systems, which can distort the results Womens ponchos due to

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