Nothing Special   »   [go: up one dir, main page]

Huang et al., 2020 - Google Patents

Dynamic calculation of ship exhaust emissions based on real-time AIS data

Huang et al., 2020

Document ID
706424724861962266
Author
Huang L
Wen Y
Zhang Y
Zhou C
Zhang F
Yang T
Publication year
Publication venue
Transportation Research Part D: Transport and Environment

External Links

Snippet

The activity-based methodology is becoming an increasing way to calculate exhaust emissions from ships in a port. Existing studies make great effort to build and analyze ship emission inventory in a variety of ports by applying this method to historical ship trajectory …
Continue reading at www.sciencedirect.com (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA 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
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G06Q10/063—Operations research or analysis
    • G06Q10/0639—Performance analysis
    • G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA 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
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation, e.g. linear programming, "travelling salesman problem" or "cutting stock problem"

Similar Documents

Publication Publication Date Title
Huang et al. Dynamic calculation of ship exhaust emissions based on real-time AIS data
Yang et al. How big data enriches maritime research–a critical review of Automatic Identification System (AIS) data applications
Xiao et al. Maritime traffic probabilistic forecasting based on vessels’ waterway patterns and motion behaviors
Yu et al. Literature review on emission control-based ship voyage optimization
Lensu et al. Big maritime data for the Baltic Sea with a focus on the winter navigation system
Ekmekçioğlu et al. Assessment of shipping emission factors through monitoring and modelling studies
Bai et al. Choose clean energy or green technology? Empirical evidence from global ships
Liu et al. A data mining method to extract traffic network for maritime transport management
Chi et al. A framework for real-time monitoring of energy efficiency of marine vessels
Sasa et al. Speed loss analysis and rough wave avoidance algorithms for optimal ship routing simulation of 28,000-DWT bulk carrier
Cristea et al. Operational shipping intelligence through distributed cloud computing
Kim et al. Modelling of ship resistance and power consumption for the global fleet: The MariTEAM model
Topic et al. Assessment of ship emissions in coastal waters using spatial projections of ship tracks, ship voyage and engine specification data
FI127931B (en) Navigational analysis device, navigational analysis method, program, and recording medium
Saputra et al. Estimation and distribution of exhaust ship emission from marine traffic in the straits of Malacca and Singapore using Automatic Identification System (AIS) data
Feng et al. A simulation-based approach for assessing seaside infrastructure improvement measures for large marine crude oil terminals
CN107480830A (en) Anchor position number optimization method based on the emulation of harbor approach anchorage hybrid system
Fan et al. Clustering of the inland waterway navigational environment and its effects on ship energy consumption
Muñuzuri et al. Planning navigation in inland waterways with tidal depth restrictions
Chen et al. Monitoring and evaluation of ship operation congestion status at container ports based on AIS data
Hadi et al. Achieving fuel efficiency of harbour craft vessel via combined time-series and classification machine learning model with operational data
Shu et al. Analyzing the spatio-temporal correlation between tide and shipping behavior at estuarine port for energy-saving purposes
Xie et al. Joint optimization of ship speed and trim based on machine learning method under consideration of load
Cai et al. Diversity, quality, and quantity of real ship data on the black-box and gray-box prediction models of ship fuel consumption
Kao et al. Utilizing the fuzzy IoT to reduce Green Harbor emissions