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Comparison of Queue Length Models at Signalized Intersections. Fadhely Viloria Kenneth Courage Donald Avery. Acknowledgements: Florida DOT Southeastern Transportation Center. DETERMINISTIC COMPONENTS. Uniform Queue Adjustment for Progression Adjustment for Overflow
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Comparison of Queue Length Models at Signalized Intersections Fadhely Viloria Kenneth Courage Donald Avery Acknowledgements: Florida DOT Southeastern Transportation Center
DETERMINISTIC COMPONENTS • Uniform Queue • Adjustment for Progression • Adjustment for Overflow • Adjustment for Confidence
UNIFORM QUEUE DEFINITIONS # Reach Accumulation 0 Time
MODEL COMPUTATIONS # UAC AMQR UMQR UMQA UAQA 0 Time
UMQR UMQA
HCM 2000 SIDRA CORSIM TRANSYT-7F SOAP SIGNAL 97 NCHRP 279 Oppenlander Teply MODELS
Progression Adjustment UMQR SOAP UMQR PASSER & TRANSYT-7F
TEPLY Poisson adjustment for confidence based on P(no failure) = [1-P(failure)]2 UMQR (Liberal) UAC (Conservative)
NCHRP 279 UAC X 2.0 SIGNAL 97 UMQA X 2.0
SIDRA & HCM 2000 Progression and Actuated Control Adjustment Empirical Confidence Adjustment AMQR
CORSIM UAQA Explicit results of Microscopic Simulation and Historical Max QA
OPPENLANDER UAQA Derived from Macroscopic Simulation and Percentile QA
COMPARISON DATA SETS • 150 RUNS TOTAL • Cycle: 60, 90, 120 • g/C: 0.1 to 0.6 • v/c: .65 to 1.0
HCM 2000 ADJUSTMENTS • SIDRA AMQR • SOAP UMQR • TRANSYT-7F UMQR • PASSER II UMQR • NCHRP 279 UAC • NETSIM UMQA • SIGNAL 97 UMQA • OPPENLANDER UMQA
Example: Convert T7F UMQR to HCM 2000 90% QR Q90% = 3.22 + 1.68 UMQR + 0.02 UMQR 2 r2 = 0.97
HCM 2000Queue Expansion Ratio (Adjusted Queue / Uniform Queue) C=60 C=120
Summary and Observations • Conceptual comparison of models • Benchmark data comparison and adjustments • 90% confidence may be a myth • The least scientific method (NCHRP 279) comes closest to the most scientific (SIDRA/HCM2000) under many conditions