|
|
MPC Research Reports
Filter by Keyword39 report(s) found with data collection in the keywords field Transportation asset management requires timely information collection to inform relevant maintenance practices. Traditional data collection methods often necessitate manual operation or the use of specialized equipment, e.g., light detection and ranging (LiDAR), which can be labor-intensive and costly... Understanding ramp queue length and queuing time is important for transportation agencies to manage and operate the ramps with optimum performance. Since these data are collected with conventional sensor systems such as coils, they are prone to error, especially during traffic congestion. The increased... Understanding the condition of roadway assets is important for transportation agencies to plan for future improvements and asset management purposes quantitatively. Since these assets are distributed across the country, a manual data collection system falls short of the automated methods due to time... Several approaches are presented that allow for a direct path of image-to-analysis for the mechanics of structures using a combination of structure-from-motion (SFM) and the finite element method. Through these methods, conventional computational methods can be applied to models created from digital... Over the last two decades many researchers have focused on providing new ideas and frameworks that can help improve conventional bridge inspection practices; however, little guidance is provided for implementing these new ideas in practice. This, along with resistance to change and complexity of the... Gravel road safety is a crucial area of road safety since gravel roads represent a substantial proportion of the entire nation's roadway network. Also, gravel roads pose inherent hazards that are otherwise absent in paved roads. Nonetheless, research related to assessing road conditions for county gravel... Over a century of research suggests that the size and spatial location of various streetscape features impacts outcomes such as walkability, livability, and road safety. Current streetscape feature measuring/mapping techniques are limited to subjective audit-based methods, crude feature counts, or simple... Autonomous vehicles (AVs) that utilize LiDAR (Light Detection and Ranging) and other sensing technologies are becoming more prevalent in the transportation industry. Concurrently, transportation agencies are increasingly challenged with asset management, traffic operations, and safety assessments. The... A study was conducted to develop recommendations for short span concrete structure type selection based on analyses of existing structure costs and performance data from South Dakota roadway systems. Through a combination of data sources, including the PONTIS database, local owner and inspector surveys... The American Indian population is at high risk for motor vehicle (MV) crash injury. Although preventable, a majority of these indigenous populations lack fundamental data needed to understand these events and effective countermeasures. This cross-case study sets a framework for exploring Indian Nations'... |
