Transportation

This dataset contains the vehicular traces from a location in Jeju-si, South Korea. The dataset contains 8,495,739 traces of vehicles. It comprises of major areas/junctions of which one is the intersection from where the Jeju International Airport and Jeju Seaport traffic passes on daily. Jeju International Airport is one of the busiest airpots in the world. Four types of vehicles were considered in the simulation of dataset, i.e., buses, trucks, passenger-cars, taxies. Each trace contains:

1. time (timestep in seconds)

This dataset contains segmented taxi trajectories with passengers in Bangkok, derived from taxi GPS data originally published by the ITIC Foundation (https://org.iticfoundation.org/). We processed the raw GPS data to extract segmented taxi trajectories, providing structured insights into urban mobility during the Songkran Festival.

The dataset is divided into three separate files based on the time period:

• Before Songkran: April 04–10, 2019

• During Songkran: April 11–17, 2019

This repository contains the problem instances for the paper "Communication-aware Drone Delivery Problem".

A commonly used definition of spatial disorientation (SD) in aviation is "an erroneous sense of one’s position and motion relative to the plane of the earth’s surface". There exists a wide range of SD use-cases dictated by situational factors, therefore SD has been predominantly studied using reduced motion detection experimental contexts in isolation. The study of SD by use-case makes it difficult to understand general SD occurrence and thus provide viable solutions. To investigate SD in a generalized manner, a two-part Human Activity Recognition (HAR) study was performed.

A reasonable approach to cope with increasing car traffic is the application of large-scale car traffic management solutions. Dense and widely applied car traffic monitoring is an important key prerequisite for this.

Established solutions like e.g. induction loops, video-camera-based systems, or radar, do not suit all the needs with regard to installation effort, privacy, and cost efficiency.

To ensure the usability and reliability of the collected data, one Hikvision monitoring camera (iDS-TCV900-AE/25) is deployed at the entrance of Taijia Expressway in Shanxi province in China for image capturing. This camera is installed on the roadside pole with a height of 5.8 meters and uses the infrared flash as the supplementary lighting. The captured images cover two lanes of the expressway, with the resolution being 4096*2160. All images are captured during the period of November 2019 to April 2020.

Simulation results from EVI-OnDemand estimating need for infrastructure to support electric ride-hailing vehicles in the US.

This paper proposes methods of predicting and preventing thermal failure within high-power ferrite structures of electric vehicle (EV) wireless charging inductive power transfer (IPT) by improving their ferrite layouts. A high-power IPT magnetic design suitable for wirelessly charging an EV at 50 kW using a heuristic approach is presented where the chosen design achieves reduced heating within the magnetic structure. Recommendations are made that both avoid ferrite fracturing due to magnetic hotspots and cause temperature differentials across&nbs

Dataset haiving the curvature and spline values for the roundabout

This dataset is used to design patent.  The system is basic , as can be seen from figure.

There is related dataset- Data: 255W Panel Connected 72Ah Li-Ion.

This new datasets are needed to show that I know how to make simulation and the dataset of 'Data: 255W Panel Connected 72Ah Li-Ion' is not fake. 

The boost converter, BMS is on existing designs.It is very simple for any graduate,degree holder or school students, so no paper is written for it.

The simulation is run for 2-3 hrs.