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

Li et al., 2015 - Google Patents

Traffic prediction in a bike-sharing system

Li et al., 2015

View PDF
Document ID
5182559021567298584
Author
Li Y
Zheng Y
Zhang H
Chen L
Publication year
Publication venue
Proceedings of the 23rd SIGSPATIAL international conference on advances in geographic information systems

External Links

Snippet

Bike-sharing systems are widely deployed in many major cities, providing a convenient transportation mode for citizens' commutes. As the rents/returns of bikes at different stations in different periods are unbalanced, the bikes in a system need to be rebalanced frequently …
Continue reading at users.wpi.edu (PDF) (other versions)

Classifications

    • 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
    • G06Q10/063Operations research or analysis
    • G06Q10/0639Performance analysis
    • G06Q10/06393Score-carding, benchmarking or key performance indicator [KPI] analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30286Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30386Retrieval requests
    • G06F17/30424Query processing
    • G06F17/30533Other types of queries
    • 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
    • G06Q30/00Commerce, e.g. shopping or e-commerce
    • G06Q30/02Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
    • G06Q30/0202Market predictions or demand forecasting
    • 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
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based models

Similar Documents

Publication Publication Date Title
Li et al. Traffic prediction in a bike-sharing system
Jia et al. Hierarchical prediction based on two-level Gaussian mixture model clustering for bike-sharing system
He et al. Customer preference and station network in the London bike-share system
Yang et al. Mobility modeling and prediction in bike-sharing systems
Li et al. Citywide bike usage prediction in a bike-sharing system
Ashqar et al. Modeling bike availability in a bike-sharing system using machine learning
Hoang et al. FCCF: Forecasting citywide crowd flows based on big data
Zhang et al. Sensing the pulse of urban refueling behavior
Chen et al. Dynamic cluster-based over-demand prediction in bike sharing systems
Etienne et al. Model-based count series clustering for bike sharing system usage mining: a case study with the Vélib’system of Paris
Zhang et al. Sensing the pulse of urban refueling behavior: A perspective from taxi mobility
Yang et al. Mobility modeling and data-driven closed-loop prediction in bike-sharing systems
Pan et al. DHPA: Dynamic human preference analytics framework: A case study on taxi drivers’ learning curve analysis
Huang et al. A bimodal Gaussian inhomogeneous Poisson algorithm for bike number prediction in a bike-sharing system
Boldrini et al. Weak signals in the mobility landscape: car sharing in ten European cities
Faghih et al. Predicting short-term uber demand in new york city using spatiotemporal modeling
Gu et al. Exploiting interpretable patterns for flow prediction in dockless bike sharing systems
Cheng et al. Utilization-aware trip advisor in bike-sharing systems based on user behavior analysis
Wang et al. Locally balanced inductive matrix completion for demand-supply inference in stationless bike-sharing systems
Yang et al. Truck parking pattern aggregation and availability prediction by deep learning
Zhou et al. A reliable traffic prediction approach for bike‐sharing system by exploiting rich information with temporal link prediction strategy
Assemi et al. On-street parking occupancy inference based on payment transactions
Jin et al. A visual analytics system for improving attention-based traffic forecasting models
Maleki et al. Developing a supervised learning-based simulation method as a decision support tool for rebalancing problems in bike-sharing systems
Zhu et al. Optimization approach to depot location in car sharing systems with big data