Surface roughness is considered as an important measuring parameter in the machining
industry that aids in ensuring the quality of the finished product. In turning operations, the …

Collection of travel time data has always been a strenuous task, especially on Indian roads,
due to the highly mixed traffic conditions and the absence of rigid driving characteristics …

To predict traffic flow under adverse weather, a hybrid deep learning model concerning
adverse weather (DLW-Net) is formulated. The DLW-Net model consists of the target and …

This study aims to examine the effects of moving work-zone speed, working lane position,
and traffic condition on the travel delay, crash risk, and mortality risk at moving work zones …

Travel time is valuable information for both drivers and traffic managers. While properly
estimating the travel time of a single road section, an issue arises when multiple traffic …

Global competition between companies is becoming increasingly stringent, resulting in
companies having to understand their customers better. Customers no longer only need …

Traffic congestion is defined as the state on transport which is characterized by slower
speeds of vehicles this is also because of the bad condition of the roads, weather, concern …

Purpose: In travelling, we need to predict travel time so that itinerary is as expected. This
paper proposes Support Vector Regression (SVR) to build a prediction model. In this case …

The primary goal of this research is to assist the development for forecasting errorless and
reliable commuter traffic. As the flow density of the traffic on road expands, traffic control has …

This study aims to investigate the key feature variables and build an accurate decision
model for merging behavior during the execution period by using a data‐driven method …