Real-world European driving cycles, for measuring pollutant emissions from high- and low-powered cars

Meynier, André; Joumard, Robert; Vidon, Robert; Tassel, Patrick; Perret, P.

doi:10.1016/j.atmosenv.2005.12.057

Cited by 138 publications

(61 citation statements)

References 5 publications

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“…For the vehicle horsepower variable, Brundell-Freji and Ericsson [96] state that the "power-to-weight ratio had a fairly large impact on overall driving style," which was supported by Andre et al [150]. Berry [151] and Zhang et al [129] stated that vehicle design changes (such as higher number of gears and lower power-to-weight ratios) can increase the efficiency.…”

mentioning

confidence: 72%

Green Driver: Travel Behaviors Revisited on Fuel Saving and Less Emission

et al. 2018

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Road transportation is the main energy consumer and major contributor of ever-increasing hazardous emissions. Transportation professionals have raised the idea of applying the green concept in various areas of transportation, including green highways, green vehicles and transit-oriented designs, to tackle the negative impact of road transportation. This research generated a new dimension called the green driver to remediate urgently the existing driving assessment models that have intensified emissions and energy consumption. In this regard, this study aimed to establish the green driver's behaviors related to fuel saving and emission reduction. The study has two phases. Phase one involves investigating the driving behaviors influencing fuel saving and emission reduction through a systematic literature review and content analysis, which identified twenty-one variables classified into four clusters. These clusters included the following: (i) FE f1 , which is driving style; (ii) FE f2 , which is driving behavior associated with vehicle transmission; (iii) FE f3 , which is driving behavior associated with road design and traffic rules; and (iv) FE f4 , which is driving behavior associated with vehicle operational characteristics. The second phase involves validating phase one findings by applying the Grounded Group Decision Making (GGDM) method. The results of GGDM have established seventeen green driving behaviors. The study conducted the Green Value (GV) analysis for each green behavior on fuel saving and emission reduction. The study found that aggressive driving (GV = 0.16) interferes with the association between fuel consumption, emission and driver's personalities. The research concludes that driver's personalities (including physical, psychological and psychosocial characteristics) have to be integrated for advanced in-vehicle driver assistance system and particularly, for green driving accreditation.

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confidence: 72%

Green Driver: Travel Behaviors Revisited on Fuel Saving and Less Emission

et al. 2018

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“…At roundabouts, it decelerates until it stops for 2 seconds and then it starts to accelerate again. The accelerationdeceleration rates are considered to be constant and vary depending on the driving style assumed in the different André et al (2006). According to the authors, calm driving means anticipating other road users' movements, traffic lights, speed limits, and avoiding hard accelerations.…”

Section: Model Assumptionsmentioning

confidence: 99%

Transport energy consumption in mountainous roads. A comparative case study for internal combustion engines and electric vehicles in Andorra

Travesset-Baro

Rosas-Casals

Jover

2015

Transportation Research Part D: Transport and Environment

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This paper analyses transport energy consumption of conventional and electric vehicles in mountainous roads. A standard round trip in Andorra has been modelled in order to characterise vehicle dynamics in hilly regions. Two conventional diesel vehicles and their electric-equivalent models have been simulated and their performances have been compared. Six scenarios have been simulated to study the effects of factors such as orography, traffic congestion and driving style. The European fuel consumption and emissions test and Artemis urban driving cycles, representative of European driving cycles, have also been included in the comparative analysis. The results show that road grade has a major impact on fuel economy, although it affects consumption in different levels depending on the technology analysed. Electric vehicles are less affected by this factor as opposed to conventional vehicles, increasing the potential energy savings in a hypothetical electrification of the car fleet. However, electric vehicle range in mountainous terrains is lower compared to that estimated by manufacturers, a fact that could adversely affect a massive adoption of electric cars in the short term.

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“…Andre et al, 2006;Joumard et al, 2000). 그러나 실제 운전조건에서 자 동차의 속도, 가속도는 교통흐름, 운행환경 (신호등, (Kwon and An, 2006;Park et al, 1998).…”

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Spatial Distributions of On-road Ultrafine Particle Number Concentration on Naebu Express Way in Seoul during Winter Season

Woo¹,

Lee²,

Lee³

et al. 2013

Journal of Korean Society for Atmospheric Environment

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Real-world European driving cycles, for measuring pollutant emissions from high- and low-powered cars

Cited by 138 publications

References 5 publications

Green Driver: Travel Behaviors Revisited on Fuel Saving and Less Emission

Green Driver: Travel Behaviors Revisited on Fuel Saving and Less Emission

Transport energy consumption in mountainous roads. A comparative case study for internal combustion engines and electric vehicles in Andorra

Spatial Distributions of On-road Ultrafine Particle Number Concentration on Naebu Express Way in Seoul during Winter Season

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