Traffic congestion analysis based on PeMS data: study case California Freeway SR-91E (KEY IJP************348)

• Randy Franstiarajah,Rizka Syahraini

Abstract

Traffic congestion which has become a common occurrence with the advancement of society, leading to negative impacts on city dwellers and the economy. The study highlights the importance of a comprehensive and real-time understanding of urban traffic congestion to find an effective way to reduce and control it. The paper discusses recurring bottlenecks on urban freeways caused by stationary traffic and sudden changes in roadway capacity. The study proposes the use of the Performance Measurement System (PeMS) as a tool for conducting operations research, which can provide valuable insights into the patterns and causes of congestion, assisting in the development of congestion reduction and management strategies. The study site is the SR91-E section located in Orange County Area. The PeMS database and built-in applications offer several advantages in understanding system performance and analyzing options. This study presents the result interpretation of freeway analysis by using PeMS and concludes with future work directions. PeMS analysis involves using statistical techniques and modeling to analyze traffic data collected by the PeMS system for a variety of purposes, including bottleneck identification and analysis, which can help transportation agencies make informed decisions about traffic management strategies.