The purpose of this study was to explore the current levels of physical activity among youth
with disabilities using meta-analysis. The search identified 11 publications including 729 …

This paper presents an in-depth analysis of the bi-level gradient approximation approach for
dynamic traffic demand adjustment and the development of new adaptive approaches …

This paper provides an analysis and proposes a methodology for predicting traffic
congestion. Several machine learning algorithms and approaches are compared to select …

This paper aims at presenting up-to-date urban mobility and traffic related indicators for the
city of Thessaloniki, Greece. Insights are provided on the modeling approach and the …

Bluetooth (BT) time‐stamped media access control (MAC) address data have been used for
traffic studies worldwide. Although Bluetooth (BT) technology has been widely recognised …

This paper investigates the problem of the network performance forecast by using traffic data
acquired via Bluetooth devices in order to provide advanced models and tools for the …

In this work, deterministic and stochastic optimization methods are tested for solving the
dynamic demand estimation problem. All the adopted methods demonstrate difficulty in …

This paper presents a framework for data collection, filtering, and fusion, together with a set
of operational tools to validate, analyze, utilize, and highlight the added value of probe data …

Introduction The paper deals with the adjustment of time-dependent Origin–destination (OD)
demand matrix, which is the fundamental input of ITS application for traffic predictions. The …

针对行程时间点预测不能描述预测结果的可信度问题, 以高速公路收费系统作为基础数据源,
提出基于Bootstrap 的高速公路行程时间区间预测模型, 通过范围概率(PICP) …