Data Precision in Transportation Systems
Location
Ada, Ohio
Start Date
3-12-2024 12:00 AM
End Date
3-12-2024 12:00 AM
Description
This research focused on identifying differences in transportation data, specifically travel volumes and travel speeds. Transportation data can be gathered from a variety of sources, and this research worked to identify how the data differs between these sources. The data that is gathered from these sources is used to plan for future traffic volumes and to aid in roadway design, therefore the precision of this data is essential to designing roadways that will support future traffic. Three sources were used: Ohio Department of Transportation (ODOT) Traffic Monitoring Management System (TMMS), INRIX, and StreetLight. It is known that sources such as INRIX and StreetLight use algorithms and formulas to compute the outputs, however there is not much research on what those differences are from the actual values. Data was collected from four sites around Ohio, two urban and two rural. Additionally, three weekdays were selected to analyze. There was a clear difference between the volume data between these sources, however the speed data was much more precise. As previously stated, the findings from this research will help those utilizing this data know more about what is behind the data and what the margin of error may be. This will help to design more appropriate roadways and to utilize more precise data.
Recommended Citation
Hannam-Zatz, Taylor, "Data Precision in Transportation Systems" (2024). College of Engineering Student Research Colloquium. 14.
https://digitalcommons.onu.edu/eng_student_research_colloquium/2024/Presentations/14
Data Precision in Transportation Systems
Ada, Ohio
This research focused on identifying differences in transportation data, specifically travel volumes and travel speeds. Transportation data can be gathered from a variety of sources, and this research worked to identify how the data differs between these sources. The data that is gathered from these sources is used to plan for future traffic volumes and to aid in roadway design, therefore the precision of this data is essential to designing roadways that will support future traffic. Three sources were used: Ohio Department of Transportation (ODOT) Traffic Monitoring Management System (TMMS), INRIX, and StreetLight. It is known that sources such as INRIX and StreetLight use algorithms and formulas to compute the outputs, however there is not much research on what those differences are from the actual values. Data was collected from four sites around Ohio, two urban and two rural. Additionally, three weekdays were selected to analyze. There was a clear difference between the volume data between these sources, however the speed data was much more precise. As previously stated, the findings from this research will help those utilizing this data know more about what is behind the data and what the margin of error may be. This will help to design more appropriate roadways and to utilize more precise data.