Periodic polynomial regression analysis of urban driving characteristics
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Kuupäev
2019
Kättesaadav alates
Autorid
Kreicbergs, J.
Grislis, A.
Ajakirja pealkiri
Ajakirja ISSN
Köite pealkiri
Kirjastaja
Abstrakt
Urban driving characteristics with a focus on energy consumption have been tested in
Riga on three main city streets with inflexible coordinated traffic lights control. The aim of this
article is to investigate periodic polynomial regression analysis method to analyse car urban
driving parameters’ change during weekday twenty-four hours to assess the influence of vehicle
technologies on energy consumption in city driving, to map the energy demand on Riga city main
street sections and to evaluate the traffic lights control on flow energetic characteristics. The tests
have been done using GPS and OBD data loggers on a test car repetitively driven along a preplanned route at around-the-clock hours. A regression analysis using periodic polynomials was
developed and applied to evaluate the traffic flow characteristics with a given time shift. It was
concluded that using polynomial regression function, the polynomial order has to be at least seven
although a visual conformation of good regression line to the measured data has to be checked
especially with lower orders. To evaluate the traffic conditions at a given 20 minutes to one hour
shift the application of regression function is limited for the periods with fast changing traffic
flow, especially after the end of rush hours when the usability of regression line for the given data
has to be checked individually for tested street sections.
Kirjeldus
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Märksõnad
city driving, energy consumption, traffic flow, articles