01628141

Component

https://doi.org/10.3141/2615-18

This study compared the Highway Capacity Manual 2010 (HCM 2010) procedure (the procedure in HCM 2016 is the same) and the red-time formula (RTF) estimations of the back-of-queue with field data results. The comparisons were made for the 50th and 95th percentile field queue lengths at four signalized intersections along a corridor in one off-peak period and a.m., noon, and p.m. peak periods. For the 50th percentile queue length, the HCM estimates had significant differences from the field data in 52% of the cases (major and minor street cases combined); in 93% of which the HCM overestimated the queue length and in 7% it underestimated the queue length. For the major street, in 28% of the cases the HCM significantly overestimated the queue length on average by 66%, and in 4% of the cases the HCM significantly underestimated on average by 42%. For minor streets, in 70% of the cases the HCM significantly overestimated the queue length on average by 44%, and in 5% of the cases it significantly underestimated on average by 20%. To lower the number of cases with significant discrepancy and to balance the frequency of overestimation and underestimation, a multiplicative correction factor of 0.93 for the major street and 0.78 for the minor streets could be applied to the HCM estimates. For the 95th percentile queue length comparison, in general the HCM presented a better estimation than the RTF. And for minor streets, the RTF tends to overestimate the queue length at higher-volume approaches, while it underestimates at lower-volume approaches. But on a major street with heavier traffic than the minor, such a trend is not clear.

01628078

17-02579

English

pp 159–168

2017

Transportation Research Record: Journal of the Transportation Research Board

9780309442040

Digital/other

Figures (4) ; References (14) ; Tables (3)

Estimation theory; Highway capacity; Length; Red interval (Traffic signal cycle); Signalized intersections; Traffic queuing; Traffic volume

Highway Capacity Manual

Highways; Operations and Traffic Management; Planning and Forecasting

PRP, TRIS, TRB, ATRI

Dec 8 2016 10:58AM

• 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
• Estimating the Effects of Urban Street Incidents on Capacity
• 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
• Relationship Between Cycle Overflow Probability and Capacity at Signalized Intersections: Application for Delay Estimation