41 to 50 of 89 Results
Jul 12, 2022
Turkan, Yelda; Olsen, Michael; Che, Erzhuo, 2022, "3D mobile lidar point cloud data collected in Philomath, OR", https://doi.org/10.7910/DVN/ILO5H6, Harvard Dataverse, V1, UNF:6:sj0Ggth5E9UisszCGTghlQ== [fileUNF]
The mobile lidar data was used for developing and testing the proposed algorithms in this project. The data was collected in 2017 by Oregon Department of Transportation (ODOT) that captures details along the highway in Philomath, OR. The data was processed and delivered by ODOT. The point cloud was georeferenced and stored in ASPRS LAS 1.2 format. |
Ibrahim, Ahmed, 2022, "Moment and Shear data set for bridges", https://doi.org/10.7910/DVN/DTEEUS, Harvard Dataverse, V1
The data set includes the values of moment and shear for various cases of bridges. All data set has been generated by using a software in the analysis stage of the project. |
Jun 21, 2022
Shrestha, Kishor, 2022, "“Average Annual Operation Cost of Safety Rest Area of Various States”.", https://doi.org/10.7910/DVN/BYBQUY, Harvard Dataverse, V1
All the Safety Rest Area data (from 2010 to 2020) were collected through a national survey with State DOTs. All collected data from specific states were presented in individual Tables in “All State” sheet. The individual Safety Rest Area data of Washington state is presented individual sheets for the calculation of average annual operation cost of... |
Simpson, Barbara, 2022, "Replication Data for: Real-time hybrid simulation test data for three-span bridge subjected to cascading earthquake-tsunami loading”", https://doi.org/10.7910/DVN/CCDJFY, Harvard Dataverse, V1
DAQ logs are provided in the “DAQ Logs” folder describing the: [i] trial (#), wave height, H (m), water depth, h (m), date of testing, time of testing, and additional notes. Descriptions of the testing program, including the name of the testing runs, are described in the titles of each DAQ log. Select Trials are summarized in more detail in the Pac... |
May 24, 2022
Chang, Kevin; Goodchild, Anne; McCormick, Ed; Ranjbari, Andisheh, 2022, "Curb Space Data Inputs for and Results from VISSIM simulations", https://doi.org/10.7910/DVN/J9LGQ1, Harvard Dataverse, V1
This dataset includes two spreadsheet files. The first file contains the input variables that were used for the VISSIM simulation model, and the second file contains the results that were generated from the model. |
May 10, 2022
Turkan, Yelda; Xu, Yiye, 2022, "UAS images and generated point-cloud model of a concrete bridge in Corvallis, OR", https://doi.org/10.7910/DVN/VLABDW, Harvard Dataverse, V1
This dataset includes three parts: (1) 1247 high-resolution images (collected by UAS, in DNG format ) of three spans of a concrete bridge, they are stored in 20 zip files considering the file size limit; (2) locations of 12 ground control points and 15 visual targets attached to the bridge surface in world coordinates (in TXT format); and (3) a poi... |
Heckendorn, Robert, 2022, "Connected-Vehicle Traffic Signal System Modeling -Covettware Project", https://doi.org/10.7910/DVN/LLSTT1, Harvard Dataverse, V1
The dataset is organized in three folders: The data folder with BSM, SPAT, and other data used in the Covettware modeling platform development and testing; the Doc folder with Covettware modeling platform documentations; and the Src folder which includes the Covettware modeling platform source code. |
Hefeida, Mohamed, 2022, "A Hybrid Platform for Context-Aware V2X Communication Projectb", https://doi.org/10.7910/DVN/BLXD8J, Harvard Dataverse, V1
The dataset is organized in three folders: The dynamic_task_alloc_for_mel_tmc_data Folder which includes the Mobile Edge Learning Data and the optimal_task_alloc_for_mel_glob_time_const_data, which included the Mobile Edge Learning Global Data set |
May 4, 2022
Wang, Haizhong; Hurwitz, David; Belz, Nathan, 2022, "Replication Data for: Micro-Mobility Promises and Challenges in the Pacific Northwest", https://doi.org/10.7910/DVN/42ICRY, Harvard Dataverse, V1, UNF:6:F6T2HCHDuwPAdxdVqBLC4w== [fileUNF]
This study used a questionnaire survey method to understand how people use micromobility and the opportunities and challenges associated with its adoption in the Pacific Northwest (Alaska, Oregon, Washington, and Idaho). With 527 respondents who generally represented the demographics of the area, this study found that micromobility is becoming an i... |
Feb 17, 2022
Moudon, Anne Vernez, 2022, "How to Sustain Work from Home? Employers’ and Employees’ Perspectives", https://doi.org/10.7910/DVN/ZENHGM, Harvard Dataverse, V1
The study seeks to contribute to programs in Transportation Demand Management (TDM) and Commute Trip Reduction (CTR), with the specific aim to reduce vehicle miles traveled (VMT) and to increase related co-benefits in the forms of reduced traffic congestion and environmental pollution. The study explores lessons learned from the Covid-19 pandemic w... |
