The dataset is available in GitHub and the link is given below:

https://github.com/sahilarora3117/capstone-19BCE1366-2023

The extraction and construction of high-precision and long-distance vehicle trajectory data and microscopic traffic flow characteristics are critical for traffic safety studies. Current research typically relies on a limited number of datasets which suffer from vehicle detection inaccuracy and limitation of the coverage area. Therefore, we establish a high-precision and long-distance vehicle trajectory dataset of urban scenarios, which is also named as WUT-NGSIM.

Nowadays road accident in Bangladesh is a buzzword due to its lack of carefulness of the driver of the vehicle where some parameter exists. The traffic safety of the roadway is an essential concern not only for transportation governing agencies but also for citizens of our country. For safe driving suggestions, the important thing is to find the variables that are tensed to relate to the fatal accidents that are occurring often. In this dataset, we provides a detailed account of the road accidents that covers the year of 2016 to 2019.

"In this article, we present a novel approach to designing and optimizing unmanned aerial vehicles (UAVs) to carry low-weight cargo. Various computational design techniques are involved, including the computer-aided design (CAD) of the aircraft's mechanical components and the simulation of its structural and material properties by finite elements methods (FEM). Mathematical models were also used to describe and improve the rotodynamic stability, control, and weight-carrying capacity of the UAV.