21 to 30 of 89 Results
May 23, 2023
Coleri, Erdem, 2023, "Acceleration data from the developed bike system", https://doi.org/10.7910/DVN/MTVP8N, Harvard Dataverse, V1
Raw acceleration data from the bike system for 6 test sections (A to B) |
May 18, 2023
Sheldon, Fredrick; Abdel-Rahim, Ahmed, 2023, "Replication Data for: IoT Platforms for Smart City Implementation in Rural and Urban Communities: A Comparative Review", https://doi.org/10.7910/DVN/1NX4QG, Harvard Dataverse, V1
The data set includes the characteristics of several smart-city implementation projects including project architecture and different IoT devices and components included in smart city projects. |
May 18, 2023
Belz, Nathan, 2023, "Alaska DMV Crash Data, 2000-2012 & Alaska RWIS Locations", https://doi.org/10.7910/DVN/MOC03K, Harvard Dataverse, V1
Transportation Data Programs maintains the State-wide database of motor vehicle traffic crashes that occurred on public roads and publishes crash statistics in annual reports summarized by crash information, information about the people involved, and vehicle information. Crash information is collected from the Alaska State Troopers, local police de... |
May 18, 2023
Vasudevan, Vinod, 2023, "Lidar and video data collected at Anchorage, AK", https://doi.org/10.7910/DVN/H8IYOH, Harvard Dataverse, V1
We collected lidar and video data for four days in May 2022 for a project to capture and analyze road user behavior. These data are uploaded here. |
Shen, Qing; Lowry, Michael, 2023, "Replication Data for: Shared Mobility Options for the Commute Trip: Opportunities for Employers and Employees", https://doi.org/10.7910/DVN/UUBYUJ, Harvard Dataverse, V1
Chapter 3 dataset title: Pre- and During-pandemic Commute Mode Choice of Essential Workers at the University of Washington Chapter 4 dataset title: Focus group discussion on the pandemic effects on Essential Workers commute experience and needs at the University of Washington. Chapter 5 dataset title: Survey response from students at the University... |
Mar 9, 2023
Goodchild, Anne; McCormack, Ed; Ranjbari, Andisheh; Hurwitz, David, 2023, "• Developing Better Curb Management Strategies through Understanding Commercial Vehicle Driver Parking Behavior in a Simulated Environment", https://doi.org/10.7910/DVN/HVAUT3, Harvard Dataverse, V1
Three different data types were obtained from Oregon State Driving and Bicycling Simulator Laboratory for purpose of this report and they are as follow: 1) Speed data consists of subject number, average speed, minimum speed, and all the independent variables. Speed data were collected based on the truck’s speed while driving through a certain scena... |
Mar 3, 2023
Kassem, Emad, 2023, "Winter Maintenance Product Evaluation", https://doi.org/10.7910/DVN/SQWTOS, Harvard Dataverse, V1
The excel sheet includes the depth of ice melting under the three-wheel polisher, coefficient of friction measured using the dynamic friction tester, and debonding test results for asphalt and concrete test samples for various products evaluated in this study. The data are organized for different conditions (e.g., wet and dry) at different applicat... |
Mar 2, 2023
Lee, Ji Yun; Ma, Fangjiao, 2023, "Wildfire evacuation survey of residents in CA, CO, and OR", https://doi.org/10.7910/DVN/ERNIS6, Harvard Dataverse, V1
Data were collected by the project team through Amazon Mechanical Turk (MTurk) between April and May 2022. The team conducted an online survey of residents in wildfire-prone areas, specifically in California, Colorado, and Oregon, which have experienced major wildfire events and evacuations in the past several years, to capture their diverse behavi... |
Mar 1, 2023
Hurwitz, David; Chang, Kevin; Young, Rhonda, 2023, "Impact of Bicycle Rolling Stop Laws on Safety-Relevant Behaviors in the Pacific Northwest", https://doi.org/10.7910/DVN/XWCUIJ, Harvard Dataverse, V1
Interview data obtained by Gonzaga University students takes the following two forms: 1) Raw interview data are provided in a zip file with the 17 text file transcripts of interviews with personally identifiable information removed. An interview script and a summary file indicating the stakeholder group and state of residence of the experts is also... |
Feb 28, 2023
Che, Erzhou; Simpson, Chase, 2023, "UAS-SfM IRI assessment testing dataset at Arizona Inn landslide, OR.", https://doi.org/10.7910/DVN/CDYW9E, Harvard Dataverse, V1
The dataset was used for assessing the performance of assessing pavement IRI using UAS-SfM. The data was collected at the Arizona Inn landslide in Oregon (near Gold Beach, OR) including the point clouds and DEM models. |
