Details:

Creators:
Depcik, Christopher
Corporate Creators:
University of Kansas, Lawrence. Department of Mechanical Engineering ; Mid-America Transportation Center
University of Kansas, Lawrence. Department of Mechanical Engineering ; Mid-America Transportation Center Less -
Corporate Contributors:
United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; United States. Department of Transportation. Federal Highway Administration
United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; United States. Department of Transportation. Federal Highway Administration Less -
Subject/TRT Terms:
[+]
Bicycles Bicycle Travel Campuses Data Files Electric Vehicles Laser Radar Measuring Methods Traffic Safety
Publication/ Report Number:
25-1121-0005-152-1, MATC-KU: 152-1
DOI:
https://doi.org/10.32873/unl.dr.20190108.1
Resource Type:
Dataset
Geographical Coverage:
United States
Corporate Publisher:
University of Nebraska-Lincoln. Mid-America Transportation Center
Abstract:
Electric bikes, or e-bikes, provide a potentially significant avenue to facilitate large reductions in greenhouse gases and hazardous emissions while promoting the usage of public transportation. However, little research exists on how these faster, heavier, and quieter vehicles impact rider safety. The goal of this effort was to drive a biomechanically designed e-bike throughout a campus environment in order to obtain quantitative and qualitative data on its operation enabling better models of e-bikes for driving simulator projects, emissions studies, and other transportation related efforts. Key to this endeavor was the development of a low-cost and mobile Light Detection and Ranging (LIDAR) system that could accurately measure the distance between objects (i.e., pedestrians and cars) and the e-bike. While some success was obtained, the limited processing rate of the components chosen precluded completion. As a result, the development of a second-generation LIDAR system is currently progressing along with two other synergistic activities that will expand the original efforts in order to provide information pre-crash to reduce risks and after accidents as part of post disaster inspection systems. The total size of the described zip file is 582 MB. Files with the .xlsx extension are Microsoft Excel spreadsheet files. These can be opened in Excel or open-source spreadsheet programs. PNG files can be opened using the system's photo viewer. MP4 files are video files that can be played using your operating system's video player software. File extension .md is used in creating GitHub Issues and can be opened in a basic text editor. Text files can be view in notepad or any document reading software. XML files are a markup language file that holds data. They can be opened using open source programs such as Notepad or any text editor. Python Files hold python project. They can be opened using open source software such as PyCharm. Crash Data Retrieval Data files or .CDR files are used to store crash data from moving objects. These can be opened using Bosch Crash Data Retrieval System software or with an open source program such as Pycrash. HTML documents are best viewed through the web browser. Cascading Style Sheets or .css files instruct a document on how to display. They can be opened using a basic text editor such as Notepad. All C++ files such as CMAKE, C++ Source and C++ header can be opened using software such as CodeLite. All of the LiDAR files can be opened using open source programs such as BCAL LiDAR Tools. JPG files can be opened using the system's photo viewer. PDFs are used to display text and images and can be opened with any PDF reader or editor. .Log files contain the generated output of a program and can be opened using a basic text editor such as Notepad. The .csv, Comma Separated Value, file is a simple format that is designed for a database table and supported by many applications. The .csv file is often used for moving tabular data between two different computer programs, due to its open format. Any text editor or spreadsheet program will open .csv files. A file that ends in .m are files written in Objective-C. They help initialize variables and functions from other Objective-C source files. They can be viewed with Apple Xcode or using an iOS simulator. This file is used in conjunction with the .MAT file, which is a binary data container format used by MATLAB, an open source program. Docx files are document files created in Microsoft Word. These files can be opened using Microsoft Word or with an open source text viewer such as Apache OpenOffice. AVI files are video files that can be opened using the system's video player.
Content Notes:
National Transportation Library (NTL) Curation Note: As this dataset is preserved in a repository outside U.S. DOT control, as allowed by the U.S. DOT's Public Access Plan (https://doi.org/10.21949/1503647) Section 7.4.2 Data, the NTL staff has performed NO additional curation actions on this dataset. The current level of dataset documentation is the responsibility of the dataset creator. NTL staff last accessed this dataset at its repository URL on 2022-11-11. If, in the future, you have trouble accessing this dataset at the host repository, please email NTLDataCurator@dot.gov describing your problem. NTL staff will do its best to assist you at that time.
Format:
ZIP
Funding:
69A3551747107
Collection(s):
University Transportation Centers
Main Document Checksum:
[+]
urn:sha256:e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855

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• No Additional Files

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