As an important part of the intelligent transportation system (ITS), short‐term traffic prediction
has become a hot research topic in the field of traffic engineering. In recent years, with the …

Recently, short-term traffic prediction under conditions with corrupted or missing data has
become a popular topic. Since a road section has predictive power regarding the adjacent …

Carbon emissions from road transport are one of the main issues related to modern
transport planning. To address them adequately, the acquisition of reliable data about traffic …

Ahstract-With one billion monthly viewers, and millions of users discussing and sharing
opinions, comments below YouTube videos are rich sources of data for opinion mining and …

In recent years, there has been considerable research interest in short-term traffic flow
forecasting. However, forecasting models offering a high accuracy at a fine temporal …

Knowing daily traffic for the current year is recognized as being essential in many fields of
transport analysis and practice, and short-term forecasting models offer a set of tools to meet …

The advent of connected and autonomous vehicles (CAVs) will change driving behavior and
the travel environment, providing opportunities for safer, smoother, and smarter road …

Aiming at the problem of traffic emergency vehicles routing planning caused by road traffic
jam and road damage, analyzes the spatio-temporal characteristics of traffic data and the …

High Performance Computing: a Quick Review1 Page 1 High Performance Computing: a Quick
Review1 Tao Li taoli@purdue.edu March 26, 2018 1This talk was presented in the NEXTRANS …

This study develops a multidimensional scaling‐(MDS‐) based data dimension reduction
method. The method is applied to short‐term traffic flow prediction in urban road networks …