For the last two decades, intelligent transportation systems (ITS) have emerged as an
efficient way of improving the performance of transportation systems, enhancing travel …

This paper describes a new real-time urban monitoring system. The system uses the
Localizing and Handling Network Event Systems (LocHNESs) platform developed by …

Advancements of information, communication and location-aware technologies have made
collections of various passively generated datasets possible. These datasets provide new …

Traffic volume is a parameter used to quantify demand in transportation studies, and it is
commonly collected by using on-road (fixed) sensors such as inductive loops, cameras, etc …

Mobile cellular networks can serve as ubiquitous sensors for physical mobility. We propose
a method to infer vehicle travel times on highways and to detect road congestion in real …

Mobile systems applied to traffic management and control and traffic safety have the
potential to shape the future of road transportation. The following innovations, that will be …

This paper presents an information-fusion-based approach to the estimation of urban traffic
states. The approach can fuse online data from underground loop detectors and global …

As mobile traffic sensor technology gets more attention, mathematical models are being
developed that utilize this new data type in various intelligent transportation systems …

Probe vehicle data are increasingly becoming more attractive for real-time system state
estimation in transportation networks. This paper presents analytical models for the real-time …

Real-time traffic speed estimation is a fundamental task for urban traffic management
centers and is often a critical element of Intelligent Transportation Systems (ITS). For this …