Due to the ubiquity of mobile phones, mobile phone network data (eg, Call Detail Records,
CDR; and cellular signaling data, CSD), which are collected by mobile telecommunication …

Network traffic prediction based on probe vehicle data is important for traffic management
and route recommendation and has been intensively studied. Previous traffic prediction …

Urbanization is accelerating at a high pace. This places new and critical issues on the
transition towards smarter, efficient, livable as well as economically, socially and …

In this contribution we address the problem of using cellular network signaling for inferring
real-time road traffic information. We survey and categorize the approaches that have been …

The rapid growth of population and the permanent increase in the number of vehicles
engender several issues in transportation systems, which in turn call for an intelligent and …

Accurate traffic forecasting at intersections governed by intelligent traffic signals is critical for
the advancement of an effective intelligent traffic signal control system. However, due to the …

Loop detectors are the oldest and widely used traffic data source. On urban arterials, they
are mainly installed for signal control. Recently state-of-the art Bluetooth MAC Scanners …

With the advent of the next-generation traffic monitoring systems, there has been a
significant increase in the spatial-temporal resolution of vehicle mobility data in many cities …

Travel time estimation and prediction on urban arterials is an important component of Active
Traffic and Demand Management Systems (ATDMS). This paper aims in using the …

Identifying the root cause of congestion and taking appropriate strategies to improve traffic
network performance are important goals of Advanced Traffic Management Systems …