01628839

Component

https://doi.org/10.3141/2615-07

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.

01628078

17-06052

English

pp 55–61

2017

Transportation Research Record: Journal of the Transportation Research Board

9780309442040

Digital/other

Figures (4) ; References (28) ; Tables (2)

Highway capacity; Incident management; Microsimulation; Streets; Traffic incidents; Traffic models; Urban areas

Highway Capacity Manual

Highways; Operations and Traffic Management; Planning and Forecasting

PRP, TRIS, TRB, ATRI

Dec 8 2016 12:26PM

• Application of High-Resolution Vehicle Data for Free-Flow Speed Estimation
• Calibrating Vissim to Analyze Delay at Signalized Intersections
• Car Drivers’ Experienced Level of Service on Freeways
• Estimation of Saturation Headway in Work Zones on Urban Streets
• Evaluation and Testing of Driver-Assistive Truck Platooning: Phase 2 Final Results
• How Weather Events Affect Freeway Demand Patterns
• Influence of Remotely Operated Stop–Slow Controls on Driver Behavior in Work Zones
• Measuring Performance on Two-Lane Highways: Empirical Investigation
• Modeling Pedestrian Delays at Signalized Intersections as a Function of Crossing Directions and Moving Paths
• Naturalistic Study of Truck Following Behavior
• Novel Area Occupancy–Based Method for Passenger Car Unit Estimation on Multilane Urban Roads Under Heterogeneous Traffic Scenario
• Operational Analysis of a Single-Lane Roundabout with a Mix of Driverless Vehicles
• Optimizing and Modeling Tollway Operations Using Microsimulation: Case Study Sanand Toll Plaza, Ahmedabad, Gujarat, India
• Preparing Oregon for Connected Vehicle Deployment: Application Prioritization Process
• Proposed Framework for Evaluating Spillback in the Highway Capacity Manual
• Queue Length at Signalized Intersections from Red-Time Formula and the Highway Capacity Manual Compared with Field Data
• Relationship Between Cycle Overflow Probability and Capacity at Signalized Intersections: Application for Delay Estimation