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Chen, Wei and D. Levinson (2006) Traffic Management System Performance Using Regression Analysis: (2002)

Abstract
1. Assistant Professor, 2. Research Assistant This study uses regression analysis to evaluate long-run traffic management system performance. Three important traffic management systems in the Twin Cities metro area- Ramp Metering, Variable Message Signs (VMS), and Freeway Service Patrol (the Highway Helper Program) were evaluated with multiple regression models to predict link speed and incident rate. We find that ramp meters increase freeway link speed and reduce incident rate. Freeway Service Patrols increase link speed when incidents are present. The results for variable message signs are ambiguous. Regression analysis can be a simple and effective research method for testing the macroscopic association between traffic management and traffic system

Publication details
Download http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.145.115
Source http://nexus.umn.edu/Papers/TrafficManagementSystems.pdf
Contributors CiteSeerX
Repository CiteSeerX - Scientific Literature Digital Library and Search Engine (United States)
Keywords Key Words, Traffic management system, Traffic system performance, Before-and-after study, Ramp
Type text
Language English