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A bi-objective deep reinforcement learning approach for low-carbon-emission high-speed railway alignment design

Qing He, Tianci Gao, Yan Gao, Huailong Li, Paul Schonfeld, Ying Zhu, Qilong Li, Ping Wang

2022Transportation Research Part C Emerging Technologies41 citationsDOI

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Reinforcement learningEnvelope (radar)Computer scienceInvestment (military)Consistency (knowledge bases)TrainEnergy consumptionWork (physics)Transport engineeringEngineeringArtificial intelligenceCartographyLawGeographyRadarTelecommunicationsElectrical engineeringPolitical scienceMechanical engineeringPoliticsVehicle emissions and performanceRailway Engineering and DynamicsMaritime Ports and Logistics
A bi-objective deep reinforcement learning approach for low-carbon-emission high-speed railway alignment design | Litcius