Abstract: Activity-based travel demand forecasting consists of modeling activity type, location, and duration with a view to improving transportation planning and creating effective traffic management systems. Research to date has ...

Abstract: Land use (LU) information is of significant value for various urban studies and is needed for a wide variety of decision-making initiatives in the range of global, regional, and urban areas. However, it has been difficult ...

Abstract: Research for advanced traveler information systems (ATIS) has been focused on urban roads. However, research for short-term traffic prediction on all categories of highways is needed, as highway agencies expect to implement ...

Abstract: The importance of reliable estimates of travel demand for effective planning, design, and management of roads and facilities is well known by transportation engineers. A review of current short-term traffic monitoring ...