Transportation
Making use of a specifically designed SW tool, the authors here presents the results of an activity for the evaluation of energy consumption of buses for urban applications. Both conventional and innovative transport means are considered to obtain interesting comparative conclusions. The SW tool simulates the dynamical behaviour of the vehicles on really measured paths making it possible to evaluate their energetic performances on a Tank to Wheel (TTW) basis. Those data, on such a wide and comparable range were still unavailable in literature.
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This zip file contains three datasets for MO-MVRPSDPTW:
1) Small and Medium-scale Revised Solomon Instances: This set contains 92 instances. All instances are created based on the modified Solomon instances. The number of customers is in {5,10,15} and 100 for small and medium-scale instances, respectively. The number of recharging stations is up to 21.
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This document is a supplementary file to the our article entitled “A Wireless Charging System Based on a DR-IPT to Power a UAV from Distribution Poles” which is published in IEEE Transactions on Industry Applications journal. This documents presents the result dataset regarding the optimizations performed to determine optimum parameters for domino resonant inductive power transfer system under several case studies.
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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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Normal
0
false
false
false
EN-GB
ZH-CN
AR-SA
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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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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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