Transportation
This data provides an overview of the simulation of Hybrid Electric Vehicles (HEVs) using MATLAB. HEVs have emerged as a promising solution for reducing emissions and improving fuel efficiency. MATLAB offers a flexible platform to accurately model and analyze the complex dynamics of hybrid powertrains, including various components and control strategies. The simulation capabilities enable the evaluation of HEV performance under different conditions, optimization of designs, and exploration of factors impacting energy consumption.
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The provided dataset encompasses information essential for analyzing and modeling the research findings presented in the paper, "Driver-pedestrian interactions at unsignalized crossings are not in line with the Nash equilibrium." This dataset includes an array of data related to road user kinematics, demographic characteristics, and personality traits such as social value orientation.
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Perth-WA is the localization dataset that provides 6DoF annotations in 3D point cloud maps. The data comprises a LiDAR map of 4km square region of Perth Central Business District (CBD) in Western Australia. The scenes contain commercial structures, residential areas, food streets, complex routes, and hospital building etc.
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Since the longitudes and latitudes of the drivers in the Gaia dataset are mainly in city of Chengdu, it is not in the same area as the longitudes and latitudes in the EUA-dataset from Australia, we translate the latitudes and longitudes of drivers to Melbourne, Australia.The drivers will be located around the users and the base stations of the Melbourne subset of EUA-dataset.
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Traffic traces from SUMO simulator
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The dataset is available in GitHub and the link is given below:
https://github.com/sahilarora3117/capstone-19BCE1366-2023
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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.
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This dataset is used to design patent and many machines can be designed using this dataset.
This is a very important dataset to do breakthrough. One of the secrets behind invention is revealed in these datasets.
Part of this design, with manually done tabulated calculations were submitted as the proposal design (for innovation challenge) proposed by the author, in the small concept paper to Ministry of Railways, Govt. of India in the year 2017.
As the Excel files(using LibreOffice) are given, so no paper is written is for it.
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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.
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