Collision-inclusive vehicle trajectories, ie, trajectories collected from real life crashes, are
essential for understanding and modeling unsafe driver behavior. However, reliable …

Users of geospatial data in government, military, industry, research, and other sectors have
need for accurate display of roads and other terrain information in areas where there are …

In vehicle accident investigations, the pre-accident speed of the vehicle is an important
factor that affects the reliability of accident reconstruction results. However, it is difficult to …

In the development of technology for smart cities, the installation and deployment of
electronic motor vehicle registration identification have attracted great attention in terms of …

Determining the trajectories of all vehicles on freeways is a challenging yet critical topic as
trajectories reflect the characteristics of traffic flow and serve as a good basis for traffic …

" In the pursuit of advancing real-time speed estimation and vehicle detection, this paper
introduces a novel methodology that combines Kalman Filter and Single Shot Multi-box …

Sensor nodes that operate as edge devices in Internet-of-Things (IoT) networks have
various limitations, such as insufficient power supply and small memory size. Therefore, the …

Many countries use traffic enforcement camera to monitor the speed limit and capture over
speed violations. The main objective of such a system is to enforce the speed limits which …

Vehicle trajectory data play an important role in autonomous driving and intelligent traffic
control. With the widespread deployment of roadside sensors, such as cameras and …

Because of the quality of raw data being an essential feature in determining the reliability of
traffic information, an effective detection and correction of outliers in raw field‐collected traffic …