Abstract
Monitoring of transportation system performance is a key element of any transportation operation and planning strategy. Estimation of dependable performance measures relies on analysis of large amounts of traffic data, which are often expensive and difficult to gather. National databases can assist in this regard, but challenges still remain with respect to data management, accuracy, storage, and use for performance monitoring. In an effort to address such challenges, this paper showcases a process that utilizes the National Performance Management Research Data Set (NPMRDS) for generating performance measures for congestion monitoring applications in the Birmingham region. The capabilities of the relational database management system (RDBMS) are employed to manage the large amounts of NPMRDS data. Powerful visual maps are developed using GIS software and used to illustrate congestion location, extent and severity. Travel time reliability indices are calculated and utilized to quantify congestion, and congestion intensity measures are developed and employed to rank and prioritize congested segments in the study area. The process for managing and using big traffic data described in the Birmingham case study is a great example that can be replicated by small and mid-size Metropolitan Planning Organizations to generate performance-based measures and monitor congestion in their jurisdictions.
Highlights
Growing traffic congestion on America’s roadways has negative impacts on mobility, the environment, and the economy
In 2014, they developed a performance measurement process that describes the steps that should be taken for data processing and developing mobility measures such as Travel Time Reliability and Vehicle Delay by integrating hourly volume into National Performance Management Research Data Set (NPMRDS) [5]
Thestudy study corridors freeways were selectedfor fordata dataanalysis, analysis,namely namely I-65, I-65, I-20, I-20, I-59, and corridors extend over two counties, County line lineon onthe theNorth
Summary
Growing traffic congestion on America’s roadways has negative impacts on mobility, the environment, and the economy. In 2014, they developed a performance measurement process that describes the steps that should be taken for data processing and developing mobility measures such as Travel Time Reliability and Vehicle Delay by integrating hourly volume into NPMRDS [5] Regarding data management, they declared that the data set required the usage of database and scripting skills for this purpose. Employees of small and mid-size MPOs and transportation agencies’ staff have encountered difficulties in utilizing the NMPRDS data set for congestion monitoring purposes due to the lack of experience in database management and big data analytics. To address this issue, this study developed an automated process to manage and.
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