Short-term traffic forecasting aims to provide more reliable travel information service, so as to assist people in making more reasonable travel decisions. With the increasing availability of traffic data along with the development of communication technology, both the capability and accuracy of travel time forecasting have been significantly enhanced in real-time conditions and a great number ...

Existing flood forecasting models are highly data specific, and their operational performance depends upon the science used to build and operate these models as well as their ability to respond to dynamic and rapidly changing events. Soft computing is one of the latest approaches for the development of systems, which possess computational intelligence. It attempts to integrate several different...

In supply chains, forecasting is an important determinant of operational performance, although there have been few studies that have selected forecasting methods on that basis. This paper is a case study of forecasting method selection for a global manufacturer of lubricants and fuel additives, products usually classified as specialty chemicals. We model the supply chain using actual demand dat...

This paper presents a two-stage service migration decision method which combines business workload forecasting with real-time load sensing, and thus adds business forecasting to previous load balancing approaches that rely solely upon real-time load sensing. The migration decision procedure and the detailed causal analysis algorithms based on Bayesian networks are also given. After the critical...

We develop a standalone, real-time solar forecasting computational platform to predict one minute averaged solar irradiance ramps ten minutes in advance. This platform integrates cloud tracking techniques using a low-cost fisheye network camera and artificial neural network (ANN) algorithms, where the former is used to introduce exogenous inputs and the latter is used to predict solar irradianc...

Short-term traffic flow forecasting is an important aspect of the ITS as traffic predication can alleviate congestion, which causes drivers to incur a longer traveling time and economical loses. In addition, traffic congestion increases the pollution and the fuel usage. Thus, it is one of the severe problems in Metropolitan areas. Further, in tunnels the forecasting may help scheduling the vent...

The M3-Competition continues to improve the design of forecasting competitions: It examines more series than any previous competition, improves error analyses and includes commercial forecasting programs as competitors. To judge where to go from here, I step back to look at the M-Competitions as a whole. I discuss the advantages of the M-Competitions in hopes that they will be retained, describ...