Traffic prediction is an important management tool for traffic guidance and control and an
effective decision-making tool to help travelers plan routes and avoid congested road …

Recently, short-term traffic state prediction for urban transportation networks has become a
popular topic. However, due to the uncontrollable and unpredictable elements of special …

In this paper, we analyze stochastic stability of Kalman filter (KF) based state estimation over
a lossy network in spatially distributed cyber-physical systems. We study a practical scenario …

Unprecedented rate of growth in the number of vehicles has resulted in acute road
congestion problems worldwide. Better traffic flow management, based on enhanced traffic …

The rapid progress in the research and development of electronics, sensing, signal
processing, and communication networks has significantly advanced the state of …

In this paper, we address a wireless sensor network deployment problem. It is considered
when the deployment field is characterized by a geographical irregularity of the monitored …

This paper develops and evaluates algorithms for exploiting physical constraints to improve
the reliability of social sensing. Social sensing refers to applications where a group of …

The surge in real-time IoT data introduces scalability and computational challenges,
necessitating advanced architectural and technological solutions. Streamed data processing …

A Vehicular Sensor Network (VSN) may be used for urban environment surveillance utilizing
vehicle-based sensors to provide an affordable yet good coverage for the urban area. The …

Wireless sensor networks are expected to be deployed on urban roadways to monitor the
traffic continuously. One of the requirements of traffic monitoring is displaying the traffic …