Field-Based Prediction Models for Stop Penalty in Traffic Signal Timing Optimization

Transportation agencies optimize signals to improve safety, mobility, and the environment. One commonly used objective function to optimize signals is the Performance Index (PI), a linear combination of delays and stops that can be balanced to minimize fuel consumption (FC). The critical component o...

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Vydáno v:Energies (Basel) Ročník 14; číslo 21; s. 7431
Hlavní autoři: Alshayeb, Suhaib, Stevanovic, Aleksandar, Park, B. Brian
Médium: Journal Article
Jazyk:angličtina
Vydáno: Basel MDPI AG 01.11.2021
Témata:
Emissions
Fines & penalties
fuel consumption
Optimization
performance index
signal timings optimization
signalized intersection
stop penalty
stops
Traffic control
Traffic flow
Vehicles
ISSN:1996-1073, 1996-1073
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Shrnutí:Transportation agencies optimize signals to improve safety, mobility, and the environment. One commonly used objective function to optimize signals is the Performance Index (PI), a linear combination of delays and stops that can be balanced to minimize fuel consumption (FC). The critical component of the PI is the stop penalty “K”, which expresses an FC stop equivalency estimated in seconds of pure delay. This study applies vehicular trajectory and FC data collected in the field, for a large fleet of modern vehicles, to compute the K-factor. The tested vehicles were classified into seven homogenous groups by using the k-prototype algorithm. Furthermore, multigene genetic programming (MGGP) is utilized to develop prediction models for the K-factor. The proposed K-factor models are expressed as functions of various parameters that impact its value, including vehicle type, cruising speed, road gradient, driving behavior, idling FC, and the deceleration duration. A parametric analysis is carried out to check the developed models’ quality in capturing the individual impact of the included parameters on the K-factor. The developed models showed an excellent performance in estimating the K-factor under multiple conditions. Future research shall evaluate the findings by using field-based K-values in optimizing signals to reduce FC.
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content type line 14
ISSN:1996-1073
1996-1073
DOI:10.3390/en14217431