FHWA EVALUATION OF METHODS FOR MODELING VEHICLE ACTIVITY AT SIGNALIZED INTERSECTIONS FOR AIR QUALITY HOT-SPOT ANALYSES
Project Objective
The objective of this research was to conduct an evaluation that compares methods of representing vehicle activity at signalized intersections for use in air quality hot-spot analyses.
Modeling emissions is more complicated for signalized intersections than for free-flowing highway traffic, due to the flow of traffic being interrupted by traffic signals, which leads to four modes of vehicle activity: cruise, idling, acceleration, and deceleration.
The CAL3QHC and CAL3QHC/R dispersion models have a queueing algorithm that uses idle links to account for the spatial distribution of at least one of the four modes of vehicle activity at signalized intersections.
The MOVES emissions model provides advanced options for modeling vehicle activity that considers the modal nature of the underlying emission rates.
This evaluation was done using Next Generation Simulation (NGSIM) video recordings that captured 100% of vehicles passing through two intersections, paired with processing algorithms to produce real world vehicle traces for the inputs to the advanced MOVES options. These trajectory data were used to create a detailed baseline (Method 1) for comparing against other methods (Methods 2 through 9) that are more practical to implement for air quality hot-spot analyses.
Key Findings
Emissions
Methods 2 – 9 overpredict total CO emissions and underpredict total PM10 emissions.
Underpredictions for PM10 emissions are strongly influenced by the amount of braking in all baseline links.
Queue link speeds in Methods 2, 3, 4, and 8 are set to 0 mph, which forces MOVES to not produce brakewear or tirewear emissions.
Concentrations
Underpredicting total emissions does not necessarily mean that the models will underpredict maximum concentrations.
Recommendations
The creation of a link network with non-overlapping queue, acceleration, and cruise links to represent all of the intersection activity is a critical first step.
The speed on the link should be set to the average speed that represents all of the activity on the link.
The link network design should consider surrounding intersections and features (e.g., parking garages) to capture all traffic.
The use of traffic analysis models and Highway Capacity Manual equations should be considered for improved queue and acceleration link length estimation.
For more information, such as the final report, please contact:
Federal Highway Administration, Office of Natural Environment Staff contact: David Kall,
202-366-6276, david.kall@dot.gov