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First published online January 1, 2017

Estimating the Effects of Urban Street Incidents on Capacity

Abstract

The effect of incidents on capacity is the most critical parameter in estimating the influence of incidents on network performance. The Highway Capacity Manual 2010 (HCM 2010) provides estimates of the drop in capacity resulting from incidents as a function of the number of blocked lanes and the total number of lanes in the freeway section. However, there is limited information on the effects of incidents on the capacity of urban streets. This study investigated the effects on capacity of the interaction between the drop in capacity below demand at a midblock urban street segment location and upstream and downstream of signalized intersection operations. A model was developed to estimate the drop in capacity at the incident location as a function of the number of blocked lanes, the distance from the downstream intersection, and the green time–to–cycle length (g:C) ratio of the downstream signal. A second model was developed to estimate the reduction in the upstream intersection capacity resulting from the drop in capacity at the midblock incident location as estimated by the first model. The second model estimated the drop in capacity of the upstream links feeding the incident locations as a function of incident duration time, the volume-to-capacity (V/C) ratio at the incident location, and distance from an upstream signalized intersection. The models were developed on the basis of data generated with the use of a microscopic simulation model calibrated by comparison with parameters suggested in HCM 2010 for incident and no-incident conditions and by comparison with field measurements.

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Article first published online: January 1, 2017
Issue published: January 2017

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Authors

Affiliations

Aidin Massahi
Department of Civil and Environmental Engineering, College of Engineering and Computing, Florida International University, EC 3715, 10555 West Flagler Street, Miami, FL 33174
Mohammed Hadi
Department of Civil and Environmental Engineering, College of Engineering and Computing, Florida International University, EC 3715, 10555 West Flagler Street, Miami, FL 33174
Maria Adriana Cutillo
Department of Civil and Environmental Engineering, College of Engineering and Computing, Florida International University, EC 3715, 10555 West Flagler Street, Miami, FL 33174
Yan Xiao
Department of Civil and Environmental Engineering, College of Engineering and Computing, Florida International University, EC 3715, 10555 West Flagler Street, Miami, FL 33174

Notes

A. Massahi, [email protected].

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