A review of vehicular emission models and driving cycles

Esteves-Booth, A; Muneer, Tariq; Kubie, J.; Kirby, H R

doi:10.1243/09544060260171429

Cited by 57 publications

(30 citation statements)

References 9 publications

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“…The actual driving cycles are best suitable for heterogeneous traffic conditions that represent sharp acceleration and decelerations, which are the main modes of operation responsible for higher emissions and fuel consumptions. Driving cycles are developed in several parts of the world including America (Esteve-Booth et al, 2002), Europe (Tzirakis et al, 2006), Australia (Kenworthy and Newman 1982), and Asia (JASIC, 1992;Montazeri and Naghizadeh, 2003;Tzeng and Chen, 1998;Ergeneman et al, 1997;Badusha and Ghosh 1999;Nesamani and Subramaniam, 2005;Anand et al, 2005).…”

Section: Introductionmentioning

confidence: 99%

Development of real-world driving cycle: Case study of Pune, India

Kamble¹,

Mathew

Sharma³

2009

Transportation Research Part D: Transport and Environment

205

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Section: Introductionmentioning

confidence: 99%

Development of real-world driving cycle: Case study of Pune, India

Kamble¹,

Mathew

Sharma³

2009

Transportation Research Part D: Transport and Environment

205

View full text Add to dashboard Cite

“…For example, the average speed model is derived from numerous speed levels in several trips. As a result, these are less meaningful on a microscopic level for green driving studies, because it does not represent specific driving characteristics [74].…”

Section: Literature Content Analysis and Synthesizementioning

confidence: 99%

“…In comparison to the earlier models, these models are formulated based on the acceleration and speed of vehicles under different driving operations, which are idle, acceleration, deceleration and steady-state cruising speed. Even so, there are still gaps in the vehicular emission model development, especially in variation of vehicles and driving characteristics [74,153].…”

mentioning

confidence: 99%

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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“…Roadway geometric and vehicle operating data from 48 longitudinal segments along the Xi'an ring expressway were used to calculate the carbon emissions per segment using Equation (7). For comparison, the fuel consumption data were used to calculate the carbon emissions per segment using the IPCC method.…”

Section: Model Validationmentioning

confidence: 99%

“…The MOBILE model was developed by the United States Environmental Protection Agency (U.S. EPA) based on Federal Test Procedure-75 (FTP-75) driving conditions [6][7][8]. The model uses vehicle-based carbon emission levels to obtain a basic carbon emission factor under standard operating conditions.…”

Section: Introduction Imentioning

confidence: 99%

Association of Carbon Emissions and Expressway Longitudinal Slope in Northern China

Jia¹,

Xu²,

Liu³

2017

JRST

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ABSTRACT:In Northern China, heavy trucks are common on highways. Vehicles traveling on longitudinal sections of expressways produce higher carbon emissions. Current carbon emission models include the vehicular operating conditions, but do not reveal the influence of highway alignment conditions, such as the longitudinal gradient and slope length, on emissions. To address this problem, this study attempts to relate the design parameters of longitudinal roadway segments with carbon emissions, as derived from diesel fuel consumption data, using an iterative nonlinear multiple regression method. Diesel fuel consumption data were collected through field tests along two typical overloaded expressways in China's coal-producing regions. The associated carbon emission data were calculated using the method defined by the Intergovernmental Panel on Climate Change. Using this data, a carbon emission prediction model was developed that related carbon emissions with roadway segment gradients, segment slope length, and initial vehicle speed. The proposed model was verified using the field test data. A relative error of 4.9% between predicted and observed data suggested high accuracy and applicability for the proposed prediction model.

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A review of vehicular emission models and driving cycles

Cited by 57 publications

References 9 publications

Development of real-world driving cycle: Case study of Pune, India

Development of real-world driving cycle: Case study of Pune, India

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

Association of Carbon Emissions and Expressway Longitudinal Slope in Northern China

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