On short-term traffic flow forecasting and its reliability

02/25/2016
by   Hassane Abouaïssa, et al.
0

Recent advances in time series, where deterministic and stochastic modelings as well as the storage and analysis of big data are useless, permit a new approach to short-term traffic flow forecasting and to its reliability, i.e., to the traffic volatility. Several convincing computer simulations, which utilize concrete data, are presented and discussed.

READ FULL TEXT
research
12/03/2016

Short-term traffic flow forecasting with spatial-temporal correlation in a hybrid deep learning framework

Deep learning approaches have reached a celebrity status in artificial i...
research
03/31/2023

A Slow-Shifting Concerned Machine Learning Method for Short-term Traffic Flow Forecasting

The ability to predict traffic flow over time for crowded areas during r...
research
09/06/2016

Comparison of several short-term traffic speed forecasting models

The widespread adoption of smartphones in recent years has made it possi...
research
11/19/2015

Preprint WebVRGIS Based Traffic Analysis and Visualization System

This is the preprint version of our paper on Advances in Engineering Sof...
research
10/04/2022

Vision-based Warning System for Maintenance Personnel on Short-Term Roadwork Site

We propose a vision-based warning system for the maintenance personnel w...
research
06/03/2020

Hybrid Scheme of Kinematic Analysis and Lagrangian Koopman Operator Analysis for Short-term Precipitation Forecasting

With the accumulation of meteorological big data, data-driven models for...

Please sign up or login with your details

Forgot password? Click here to reset