Wireless sensor networks (WSNs) offer the potential to significantly improve the efficiency of
existing transportation systems. Currently, collecting traffic data for traffic planning and …

Real-time traffic light controllers (TLCs) play a major role in optimizing traffic flow. We uses
wireless sensor network (WSN) to decrease vehicles' average trip waiting time (ATWT) on …

This paper proposes a method based on multivariate spatial and temporal correlation to
improve prediction accuracy in data reduction for Wireless Sensor Networks (WSN) …

In view of the complicated traffic condition in the traffic lights monitoring-control system, the
current conventional fixed-cycle traffic light control is unable to make full use of lanes. In this …

Abstract The evolution towards Smart Grids (SGs) represents an important opportunity for
the energy industry. It is characterized by the integration of renewable and alternative …

Smart camera networks have recently emerged as a new class of sensor network
infrastructure that is capable of supporting high-power in-network signal processing and …

Simple linear regression is usually used for WSN data reduction. The mechanism is
concerned about energy consumption, but neglects the prediction accuracy. The prediction …

This paper explores the use of wavelet transform-based methods for ITS data compression.
A methodology for structuring data and applying wavelet transform-based algorithms is …

In this paper, a novel region-based approach for estimating the speed of a vehicle using
wireless sensor networks is presented. Compared with a point-based approach, which is …

The design and implementation of wireless sensor network applications often require
domain experts, who may lack expertise in software engineering, to produce resource …