Abstract Expressways are the need for fast movement of goods and human being long distances in current scenario every country, but at same time these facilities have highest severity rate among all road categories. Various researchers around world tried to find out effect traffic volume, geometry environmental factors on frequency accident expressway by using different prediction modeling metho...

In the original version of book, following correction has been made: The title Chapter 44 changed from “Prediction Model Accident Vehicle Speed Based on Artificial Intelligence Decision Free Algorithm” to Tree Algorithm”. book and chapter have updated with change.

Abstracting useful information from a big data has always been a challenging task. Data mining is a powerful technology with great potential to extract knowledge based information from such data. Prediction can be done with past and related records in different fields. Risk and safety have always been an important consideration in the field of aircraft. Prediction of accident in aircraft will s...

Breakout is a hazardous accident in continuous casting process. Losses caused by a typical breakout accident can be as high as hundreds of thousands of dollars. Breakout prediction technique is playing an important role in reducing the occurrence of breakout events. Back propagation (BP) neural network based forecast method as an important breakout prediction technique which can be applied in c...

This paper addresses future pedestrian accident scenarios involving next decade of small electric vehicles (SEVs) employed primarily in urban areas in 2025. The methodology used to predict the most relevant accident scenarios in 2025, in terms of speeds, impact locations, vehicle designs and inner-city boundaries, includes four main steps and as an example, the first three steps are shown for p...

background: noise prediction is considered to be the best method for evaluating cost-preventative noise controls in industrial workrooms. one of the most important issues is the development of accurate models for analysis of the complex relationships among acoustic features affecting noise level in workrooms. in this study, advanced fuzzy approaches were employed to develop relatively accurate ...

this paper presents a hybrid approach to developing a short-term traffic flow prediction model. in thisapproach a primary model is synthesized based on neural networks and then the model structure is optimized throughgenetic algorithm. the proposed approach is applied to a rural highway, ghazvin-rasht road in iran. the obtainedresults are acceptable and indicate that the proposed approach can i...