71 to 80 of 89 Results
Dec 3, 2020
Moudon, Anne Vernez; Shen, Qing; Lowry, Michael, 2020, "The Impact of Shared Mobility Options on Travel Demand", https://doi.org/10.7910/DVN/WTGHBB, Harvard Dataverse, V1
1. Publicly available data: 2017 Puget Sound regional Household Travel survey 2. Publicly available data: Washington State Commute Trip Reduction (CTR) program 2015-2016 3. The authors created a computer program in 2020 to continuously “scrape” and archive real-time location data that a few shared micro-mobility companies provide for their bikes an... |
Oct 13, 2020
Lowry, Michael; Pimentel, David, 2020, "MS Access Database of state laws pertaining to bicycle travel", https://doi.org/10.7910/DVN/W9NGI2, Harvard Dataverse, V1
The file is a Microsoft Access Database of laws governing e-bikes (bicycles equipped with electric motors to assist in propulsion), and e-scooters (stand-up kick scooters powered by an electric motor) in all fifty states and the District of Columbia. The researchers used the LEXIS/NEXIS legal database, WESTLAW, and state-operated websites in each a... |
Oct 13, 2020
Shi, Xianming, 2020, "Connected Vehicle Technology for Improved Winter Travel", https://doi.org/10.7910/DVN/IM4MWI, Harvard Dataverse, V1, UNF:6:BIsMQmpo7Ol5grnPJxRdsQ== [fileUNF]
The dataset is part of a PacTrans research project that aims to explore the use of Connected Vehicle (CV) (such as wireless or DSRC connectivity) technology for improved winter travel. |
Sorour, Sameh; Abdel-Rahim, Ahmed, 2020, "Decentralized Autonomous EV Mobility Meta Data", https://doi.org/10.7910/DVN/HCHXZ9, Harvard Dataverse, V1
The data is organized in four sets: data aet 1: includes the dispatching optimization, data set 2: includes data for testing average trip time, data set 3: include the dimensioning analysis data and simulation, and data set 4 includes the Matlab simulation testing possible vehicle classes |
Aug 21, 2020
Abdel-Rahim, Ahmed; Sorour, Sameh, 2020, "PDR and SSRI Contour Data & Regression Data", https://doi.org/10.7910/DVN/STPL7B, Harvard Dataverse, V1, UNF:6:0T2xX6V6jM0ohrGo2eW6+w== [fileUNF]
The data set includes field collected Packet delivery rate (PDR) and Received signal strength indication (RSSI) data that were used for two analysis: development of DSCR communication contour lines at intersection and regression analysis to develop a model the predicts the PDR values based on measured RSSI data |
Hajbabaie, Ali, 2020, "Cell Transmission Representation of the Springfield Network", https://doi.org/10.7910/DVN/IU0DUR, Harvard Dataverse, V1, UNF:6:ml9/dbVpgLTykNSbYfDXTw== [fileUNF]
The dataset includes the data of a transportation network adapted from downtown Springfield, Illinois. The dataset includes the graphical representation of the network, cell transmission model representation, traffic demand levels, and traffic signal timing parameters. The demand levels are hypothetical and traffic signal timings are those that are... |
Jul 15, 2020
Moudon, Anne Vernez, 2020, "Washington State School Walk Score", https://doi.org/10.7910/DVN/1TVFPZ, Harvard Dataverse, V1
Data include the School Walkability Scores and Walking Potential Scores by county, school district, school code and school name for K-8 Washington state schools (n =1610). Methods used to calculate the scores are described in report |
Jul 15, 2020
Pimentel, Ron, 2020, "Shared Micro-Mobility in the Pacific Northwest: Motivators, Deterrents, and Legality Awareness in Washington, Oregon, and Idaho.", https://doi.org/10.7910/DVN/802PJA, Harvard Dataverse, V1
The dataset is in a single file. It was collected with an on-line survey, administered by Qualtrics, using panels for respondents. Data was collected from all municipalities in Washington, Oregon, and Idaho that had operating shared micro-mobility systems at the time of data collection. Qualtrics performed “scrubbing” on the data. They managed to g... |
Nassiri, Somayeh, 2020, "Development of protocol to maintain winter mobility of different classes of pervious concrete pavement based on porosity", https://doi.org/10.7910/DVN/FVGIRJ, Harvard Dataverse, V1
The raw images should be cropped to 400×400-pixel square images to avoid edge effects during the analysis process. Using ImageJ software, the cropped images can be binarized with the Otsu thresholding technique to isolate the voids from the solids on the basis of the pixel values. When the pixel value are lower than the assigned threshold, it is co... |
Jun 24, 2020
Parrish, Christopher, 2020, "Light detection and ranging (lidar) point clouds collected from unmanned aircraft systems", https://doi.org/10.7910/DVN/XTPYSV, Harvard Dataverse, V1, UNF:6:Lit5oN5PZlNrzJMHFK7GXg== [fileUNF]
The data consist of point clouds containing 3D spatial coordinates (eastings, northings, and heights) and intensities (a measure of the strength of the backscattered laser pulse) in the American Society for Photogrammetry and Remote Sensing (ASPRS) LAS file format: http://www.asprs.org/wp-content/uploads/2019/03/LAS_1_4_r14.pdf. The locations for w... |
