Short-term traffic forecasting based on deep learning methods, especially recurrent neural
networks (RNN), has received much attention in recent years. However, the potential of RNN …

Short-term traffic forecasting based on deep learning methods, especially long short-term
memory (LSTM) neural networks, has received much attention in recent years. However, the …

Traffic surveillance cameras are the eyes of the Intelligent Transportation Systems (ITS).
However, they are currently isolated and can only extract information from each of their fixed …

While traditional pedestrian and bicyclist monitoring methods require active efforts from data
collectors, advancements in technology have made it possible to use the proliferation of …

The technological demand drastically requires Internet of Things (IoT) execution. Certainly, it
will bring a paradigm transformation from a local city to a smart city. Besides several other …

Grade variation on interstate highways affects the roadway geometric design, vehicle
performance and driver behavior, thus possibly exerting an unexpected effect on vehicular …

In recent years, with the advancement in traffic sensing, data storage, and communication
technologies, the availability and diversity of transportation data have increased …

Abstract The Internet of Things (IoT) is considered one of the most important trends, drivers,
and enablers for business transformation. The field of logistics is affected manifold by this …

This paper introduces a video surveillance-based traffic control system. The system uses
image/video analysis to identify individuals violating traffic rules. Due to the large amount of …

Edge computing is emerging as an innovative technology that brings data processing and
storage to end users, further leading to scale, decentralization and safety to IoT netWorks. It …