With the continuous development of economic strength and science and technology, the
construction of Intelligent Transportation System (ITS) has become a new development …

Accurate traffic congestion estimation and prediction are critical building blocks for smart trip
planning and rerouting decisions in transportation systems. Over the decades, there have …

The extraction of spatial-temporal features is a crucial research in transportation studies, and
current studies typically use a unified temporal modeling mechanism and fixed spatial graph …

The prediction of traffic flow is a challenging yet crucial problem in spatial-temporal analysis,
which has recently gained increasing interest. In addition to spatial-temporal correlations …

The inconvenience of travel, air pollution and consequent economic losses caused by traffic
congestion have seriously restricted the healthy and sustainable development of cities in …

Rapid global urbanization has led to a growing urban population, posing challenges in
transportation management. Persistent issues such as traffic congestion, environmental …

Recent researches have shown the potential benefits of using Lagrangian coordinates in
modeling mobile sensor data such as GPS, Bluetooth, Wi-Fi, and cellphone probe data …

Origin–destination (OD) flow estimation and prediction is an important problem with
applications in Dynamic Traffic Management, and traffic estimation and prediction systems …

The travel time spent in traffic networks is one of the main concerns of the societies in
developed countries. A major requirement for providing traffic control and services is the …

This paper presents a framework for the development of the travel time estimation model
using multiple sources of data with consideration of spurious data and traffic conditions. A …