Combining Reinforcement Learning With Genetic Algorithm for Many-To-Many Route Optimization of Autonomous Vehicles

Combining Reinforcement Learning With Genetic Algorithm for Many-To-Many Route Optimization of Autonomous Vehicles

This study introduces an approach for route optimization of many-to-many Demand-Responsive Transport (DRT) services. In contrast to conventional fixed-route transit systems, DRT provides dynamic, flexible, and cost-effective alternatives. We present an algorithm that integrates DRT with the autonomo...

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Bibliographic Details
Main Authors: Sunhyung Yoo, Hyun Kim, Jinwoo Lee
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Autonomous vehicles
intelligent transportation systems
machine learning
machine learning algorithms
public transportation
transportation
Online Access:https://ieeexplore.ieee.org/document/10438424/

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