[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Chen et al., 2022 - Google Patents

Robust optimization of energy-saving train trajectories under passenger load uncertainty based on p-NSGA-II

Chen et al., 2022

View PDF
Document ID
15398862456841145941
Author
Chen X
Li K
Zhang L
Tian Z
Publication year
Publication venue
IEEE Transactions on Transportation Electrification

External Links

Snippet

Railway electrification has attracted substantial interest in recent years as a key part of the global effort to achieve transport decarbonization. To improve the energy efficiency of train operations, of particular interest is the optimization of train speed trajectories. However, most …
Continue reading at eprints.whiterose.ac.uk (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50Computer-aided design
    • G06F17/5009Computer-aided design using simulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation, e.g. linear programming, "travelling salesman problem" or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass

Similar Documents

Publication Publication Date Title
Fernandez-Rodriguez et al. Design of robust and energy-efficient ATO speed profiles of metropolitan lines considering train load variations and delays
Domínguez et al. Multi objective particle swarm optimization algorithm for the design of efficient ATO speed profiles in metro lines
Carvajal-Carreño et al. Optimal design of energy-efficient ATO CBTC driving for metro lines based on NSGA-II with fuzzy parameters
Chen et al. Robust optimization of energy-saving train trajectories under passenger load uncertainty based on p-NSGA-II
Zhao et al. A multiple train trajectory optimization to minimize energy consumption and delay
CN105243430B (en) The optimization method of the target velocity curve of energy-saving train operation
Nitisiri et al. A parallel multi-objective genetic algorithm with learning based mutation for railway scheduling
Yang et al. Online regulation of high speed train trajectory control based on TS fuzzy bilinear model
Fernández-Rodríguez et al. Balancing energy consumption and risk of delay in high speed trains: A three-objective real-time eco-driving algorithm with fuzzy parameters
Keskin et al. Energy‐Efficient Train Operation Using Nature‐Inspired Algorithms
Yang et al. Speed tracking control using an ANFIS model for high-speed electric multiple unit
Pu et al. Integrated optimal design of speed profile and fuzzy PID controller for train with multifactor consideration
Bin et al. Energy-efficient speed profile optimization for high-speed railway considering neutral sections
Zhang et al. An intelligent train operation method based on event-driven deep reinforcement learning
Mokhtarimousavi et al. Multi-objective mathematical modeling of aircraft landing problem on a runway in static mode, scheduling and sequence determination using NSGA-II
Wang et al. Robust train speed trajectory optimization: A stochastic constrained shortest path approach
Wang et al. Train operation strategy optimization of virtual coupling: A cooperative game based approach
Sheng et al. Energy‐optimal study integrated speed trajectories, timetable and the layout of neutral sections for high‐speed railway
Huang et al. Distributed cooperative cruise control for high‐speed trains with multi‐objective optimization
Song et al. Two-Stage Optimal Trajectory Planning Based on Resilience Adjustment Model for Virtually Coupled Trains
Zhou et al. Integration of Train Regulation and Speed Profile Optimization Based on Feature Learning and Hybrid Search Algorithm
Suriyarachchi et al. GAMEOPT+: Improving Fuel Efficiency in Unregulated Heterogeneous Traffic Intersections via Optimal Multi-agent Cooperative Control
Pei et al. Multi-Agent Consistent Formation Control Operation Optimization for High-Speed Trains
Xun et al. An optimization approach for real-time headway control of railway traffic
Dong et al. Multi-objective train trajectory design based on dynamic programming