Short-Term Passenger Flow Prediction With Decomposition in Urban Railway Systems
نویسندگان
چکیده
منابع مشابه
Forecasting the Short-Term Passenger Flow on High-Speed Railway with Neural Networks
Short-term passenger flow forecasting is an important component of transportation systems. The forecasting result can be applied to support transportation system operation and management such as operation planning and revenue management. In this paper, a divide-and-conquer method based on neural network and origin-destination (OD) matrix estimation is developed to forecast the short-term passen...
متن کاملPassenger Interface Systems in Modern Railway Application: A Dedicated Passenger Information System for Istanbul Tramway
After 1860’s the railway systems has started to be used in urban transportation in the world. However, especially after the 1950’s, automobile usage has been increased quickly. Thus the dense of transportation has started to move from railway systems to the ones with rubber tire vehicles in Istanbul. Traffic density in urban transportation has started to be experienced since 1950 with the incre...
متن کاملWavelet Neural Network-based Short-Term Passenger Flow Forecasting on Urban Rail Transit
Accurate forecasting of short-term passenger flow has been one of the most important issues in urban rail transit planning and operation. Considering the shortcomings of traditional forecasting methods, and in order to improve forecasting accuracy of passenger flow, this paper presents a wavelet neural network (WNN) for short-term passenger flow forecasting. One real urban rail transit station ...
متن کاملVisualizing Passenger Flow in Railway Station Using Laser Scanners
Our goal in this study is to examine the feasibility for analyzing and visualizing passenger flows using laser scanners in a railway station. A network of laser scanners is located on different places and scan pedestrian's feet at a horizontal plane about 16 cm above the ground. Motion trajectories are extracted from the laser points on moving feet. They are analyzed to find the pattern of pass...
متن کاملAn Artificial Neural Networks Approach to Forecast Short-term Railway Passenger Demand
This paper experiences a three-phrase back-propagation neural network approach to forecast short-term railway passenger demand. The first phase involves the selection of variables, the size of training data set, and the modification of stochastic outliers, under a specific origin-destination (O/D) pair of a given train service. In the second phase, in order to verify the robustness of developed...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Access
سال: 2020
ISSN: 2169-3536
DOI: 10.1109/access.2020.3000242