Measurement of Recurring Versus Non-recurring Congestion
Measurement of Recurring Versus Non-recurring Congestion

Author: Mark E. Hallenbeck

Publisher:

Published: 2003

Total Pages: 42

ISBN-13:

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This report documents the technical results of a WSDOT-sponsored research effort to determine the nature and cause of congestion on Seattle-area freeways based on an analysis of available databases of traffic incidents and freeway performance. The focus of this effort was to develop a methodology for estimating freeway congestion as a function of its estimated cause (principally, its recurring or nonrecurring nature) by using readily available data, as well as to develop, implement, and use a prototype tool set that would apply that methodology. The resulting methodology and tool set produce estimates of congestion (delay) associated with recurring and non-recurring conditions as a function of various user-specified parameters and assumptions. The method is able to analyze Seattle area corridors using data from existing databases. The process makes extensive use of the TRAC-FLOW analysis process, as well as supplementary prototype tools.

Measuring Recurrent and Non-recurrent Traffic Congestion
Measuring Recurrent and Non-recurrent Traffic Congestion

Author: Alexander Skabardonis

Publisher:

Published: 2002

Total Pages: 24

ISBN-13:

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The paper describes a methodology and its application to measure total, recurrent, and non-recurrent (incident related) delay on urban freeways. The methodology uses data from loop detectors and calculates the average and the probability distribution of delays. Application of the methodology to two real-life freeway corridorsone in Los Angeles and the other in the Bay Areaindicates that reliable measurement of congestion should also provide measures of uncertainty in congestion. In the two applications, incident-related delay is found to be between 13 to 30 percent of the total congestion delay during peak periods. The methodology also quantifies the congestion impacts on travel time and travel time variability.