Research on Prediction Method of Freeway Operation Situation Based on Short-Term Traffic Flow Multi-Parameters Regression

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Research on Freeway Passenger Flow Prediction Based on Neural Network

The growth of social activities scale, the increase of population flow and flow velocity, and the continuous development of car industry have brought more and more heavy load to the highway intercity transportation and its management system. Against this backdrop, how to greatly improve the utilization rate of traffic infrastructure and transportation equipment by analyzing and forecasting the ...

متن کامل

Short-Term Freeway Traffic Flow Prediction: Bayesian Combined Neural Network Approach

Short-term traffic flow prediction has long been regarded as a critical concern for intelligent transportation systems. On the basis of many existing prediction models, each having good performance only in a particular period, an improved approach is to combine these single predictors together for prediction in a span of periods. In this paper, a neural network model is introduced that combines...

متن کامل

Traffic Flow on a Freeway Network

Traffic congestion is an unpleasant fact of modern life. Although difficult to quantify precisely, congestion must cost Californians millions of dollars per day. Since further extensive construction of freeways is unlikely, information technology is being increasingly looked to for amelioration by providing information allowing more efficient use of existing freeways. Statistics plays a major r...

متن کامل

Prediction 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 کامل

Short-term Traffic Flow Prediction by a Sugeno Fuzzy System Based on Gaussian Mixture Models

The short-term traffic flow prediction is of great importance for traffic control and guidance. This paper presents an approach using a Sugeno fuzzy inference system whose input space is participated by a Gaussian mixture model and parameters are estimated by the least square estimation method. The proposed approach was evaluated on a benchmark problem of the Mackey-Glass time series and the co...

متن کامل

ذخیره 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: MATEC Web of Conferences

سال: 2016

ISSN: 2261-236X

DOI: 10.1051/matecconf/20168104004