Short-Term Origin-Destination Based Metro Flow Prediction with Probabilistic Model Selection Approach
نویسندگان
چکیده
منابع مشابه
Short term electric load prediction based on deep neural network and wavelet transform and input selection
Electricity demand forecasting is one of the most important factors in the planning, design, and operation of competitive electrical systems. However, most of the load forecasting methods are not accurate. Therefore, in order to increase the accuracy of the short-term electrical load forecast, this paper proposes a hybrid method for predicting electric load based on a deep neural network with a...
متن کاملA neural network model for short term river flow prediction
This paper presents a model using rain gauge and weather radar data to predict the runoff of a small alpine catchment in Austria. The gapless spatial coverage of the radar is important to detect small convective shower cells, but managing such a huge amount of data is a demanding task for an artificial neural network. The method described here uses statistical analysis to reduce the amount of d...
متن کاملDesign principles for origin-destination flow maps
Origin-destination flow maps are often difficult to read due to overlapping flows. Cartographers have developed design principles in manual cartography for origin-destination flow maps to reduce overlaps and increase readability. These design principles are identified and documented using a quantitative content analysis of 97 geographic origin-destination flow maps without branching or merging ...
متن کاملPrediction for Short-term Traffic Flow Based on Optimized Wavelet Neural Network Model
Short term traffic forecasting has been a very important consideration in many areas of transportation research for more than 3 decades. Short-term traffic forecasting based on data driven methods is one of the most dynamic and developing research arenas with enormous published literature. In order to improve forecasting model accuracy of wavelet neural network, an adaptive particle swarm optim...
متن کاملAn Agent-Based Model of Origin Destination Estimation (ABODE)
Abstract: is paper introduces ABODE, an agent-based model for Origin-Destination (OD) demand estimation, that can serve as a work trip distribution model. e model takes residential locations of workers and the locations of employers as exogenous and deals specifically with the interactions between firms and workers in creating a job-worker match and the commute outcomes. It is meant to illust...
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: Journal of Advanced Transportation
سال: 2018
ISSN: 0197-6729,2042-3195
DOI: 10.1155/2018/5942763