Impact of Various Operating Conditions on Simulated Emissions-Based Stop Penalty at Signalized Intersections

Sustainability has become one of the most important goals when optimizing traffic signals. This goal is achieved through utilizing various objective functions to reduce sustainability metrics (e.g., fuel consumption and emissions). However, most available objective functions do not distinguish betwe...

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Bibliographic Details
Published in:Sustainability 2021-09, Vol.13 (18), p.10037
Main Authors: Alshayeb, Suhaib, Stevanovic, Aleksandar, Dobrota, Nemanja
Format: Article
Language:English
Subjects:
Climate change
Emission analysis
Emission measurements
Emissions
Objective function
Optimization
Pollutants
Public health
Sustainability
Traffic control
Traffic flow
Traffic intersections
Traffic models
Traffic signals
Transportation industry
Vehicles
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Summary:Sustainability has become one of the most important goals when optimizing traffic signals. This goal is achieved through utilizing various objective functions to reduce sustainability metrics (e.g., fuel consumption and emissions). However, most available objective functions do not distinguish between the reduction mechanism of various types of emissions. Further, such functions do not consider the compound impact of multiple operational conditions (e.g., road gradient) influencing emissions on the optimized signal plans. This study derives a new Environmental Performance Index representing a surrogate measure for emission estimates that can be used as an objective function in signal timings optimization to reduce emissions under various operational conditions. The Environmental Performance Index is a linear combination of delays and stops. The key factor of the Environmental Performance Index is the emissions-based stop penalty, which represents an emission stop equivalency measured in seconds of delay. This study also uses traffic simulation and emission models to investigate the compound impact of several operational conditions on the stop penalty. Results show that the stop penalty varies significantly with all the investigated conditions and that the stop penalty is unique for different types of emissions. These findings may have significant implications on the current practice of sustainable signal timing optimization.
ISSN:2071-1050
2071-1050
DOI:10.3390/su131810037