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Traffic Flow Prediction With Big Data: A Deep Learning Approach
A novel deep-learning-based traffic flow prediction method is proposed, which considers the spatial and temporal correlations inherently and is applied for the first time that a deep architecture model is applied using autoencoders as building blocks to represent traffic flow features for prediction. Expand
Model Predictive Direct Power Control of a PWM Rectifier With Duty Cycle Optimization
This paper proposes an improved model predictive direct power control (MPDPC) for a pulse width modulation (PWM) rectifier by using a duty cycle control. The conventional MPDPC achieves goodExpand
Vehicle License Plate Recognition Based on Extremal Regions and Restricted Boltzmann Machines
This paper presents a vehicle license plate recognition method based on character-specific extremal regions (ERs) and hybrid discriminative restricted Boltzmann machines (HDRBMs) that is robust to illumination changes and weather conditions during 24 h or one day. Expand
Performance Improvement of Direct Power Control of PWM Rectifier With Simple Calculation
Conventional switching-table-based direct power control (STDPC) presents irregular power ripples and variable switching frequency, due to the use of predefined switching table and hysteresisExpand
Low-Complexity Model Predictive Power Control: Double-Vector-Based Approach
Simulation and experimental results obtained from a two-level three-phase ac/dc converter are presented to confirm the theoretical study and the effectiveness of the proposed low-complexity MPPC. Expand
Sliding-Mode Observer-Based Mechanical Parameter Estimation for Permanent Magnet Synchronous Motor
A mechanical parameter estimation algorithm for permanent magnet synchronous motor (PMSM) drive systems based on sliding-mode observer is proposed in this paper. First, an extended sliding-modeExpand
Estimation of Passenger Route Choice Pattern Using Smart Card Data for Complex Metro Systems
A probabilistic model is developed that can estimate from empirical analysis how the passenger flows are dispatched to different routes and trains and is validated using a large-scale data set collected from the Shenzhen Metro system. Expand
Electrified Vehicles and the Smart Grid: The ITS Perspective
A smart grid vision of the electric vehicles for the next 30 years and beyond is presented from six perspectives pertinent to intelligent transportation systems: 1) vehicles; 2) infrastructure; 3) travelers; 4) systems, operations, and scenarios; 5) communications; and 6) social, economic, and political. Expand
A Real-Time Passenger Flow Estimation and Prediction Method for Urban Bus Transit Systems
This is the first paper, which implements a system utilizing smart card data and GPS data to forecast the passenger flow in real time, and is believed to be the first to be implemented. Expand
Induction motor electrical parameters identification using RLS estimation
This paper proposes a method to estimate the electrical parameters of Induction Motors, The electrical parameters are obtained by solving a least squares minimization problem, the method conceived toExpand