Relevant bibliographies by topics / Motor vehicle emissions

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Motor vehicle emissions'

Author: Grafiati
Published: 4 June 2021
Last updated: 24 January 2023

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Journal articles on the topic "Motor vehicle emissions"

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BEBKIEWICZ, Katarzyna, Zdzisław CHŁOPEK, Jakub LASOCKI, Krystian SZCZEPAŃSKI, and Magdalena ZIMAKOWSKA-LASKOWSKA. "Characteristics of pollutant emission from motor vehicles for the purposes of the Central Emission Database in Poland." Combustion Engines 177, no. 2 (May 1, 2019): 165–71. http://dx.doi.org/10.19206/ce-2019-229.

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Within the Institute of Environmental Protection – National Research Institute the Central Emission Database is being established. The Database will cover the most important emission sectors from anthropogenic activities, including usage of motor vehicles. The intensity of emissions of individual pollutants is the input data to air pollution dispersion models. Based on calculations performed by the air pollution dispersion models concentration of pollutants dispersed in atmospheric air (pollution immission) is provided. The annual average immision for a selected place in Poland is a measure of the threat to environment. In order to determine the intensity of pollutant emissions from motor vehicles it is necessary to recognize the intensity of vehicle motion and the volume of emission of pollutants depending on the type of vehicle motion. The task presented in this article is to determine the characteristics of pollutant emissions from motor vehicles depending on the type of their motion. The mean value of vehicle speeds was used to characterize the type of vehicle motion. The emission of pollutants from vehicles is therefore characterized by the dependence of road emissions of pollutants on the average speed of vehicles. The characteristics were determined for cumulated categories of motor vehicles: passenger cars, light commercial vehicles as well as heavy duty trucks and buses. The results of the inventory of pollutant emissions from motor vehicles in Poland in 2016 were used to determine the characteristics of pollutant emissions.
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Rana, M. M., M. H. Khan, M. A. K. Azad, S. Rahman, and S. A. Kabir. "Estimation of Idle Emissions from the On-Road Vehicles in Dhaka." Journal of Scientific Research 12, no. 1 (January 1, 2020): 15–27. http://dx.doi.org/10.3329/jsr.v12i1.41501.

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Vehicle emission is a major source of air pollution in Dhaka. Old fleet, lack of maintenance, improper traffic and parking management, overloading, fuel adulteration etc. are responsible for high emissions from the vehicle sector. In this study, vehicle emissions have been measured on-road in Dhaka using an Automotive Gas Analyzer and Smoke Opacity Meter to determine the existing vehicle emission scenario in the city. Concentrations of carbon monoxide (CO) and hydrocarbons (HC) in the emissions from CNG/gasoline vehicles, and opacity of the emissions from diesel vehicles were measured. The results were compared with the corresponding national limit values. It was found that all types of CNG vehicles performed very well with more than 80% satisfying the corresponding limit values. Private cars ranked at the top in performance among the CNG/gasoline vehicles. Diesel vehicles were found as the worst polluters in the vehicle sector; emissions from about 75% of the diesel vehicles had opacity more than 65 HSU, the national limit value for emissions from diesel vehicles. Motor cycles were also highly polluting; 60% of the motor cycles emitted CO and HC concentrations higher than the respective national emission limit values.
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Singer, Jonah, and Eden Oelze. "In-water and in-air vehicle velocity estimation via harmonic and Doppler analysis." Journal of the Acoustical Society of America 151, no. 4 (April 2022): A136. http://dx.doi.org/10.1121/10.0010902.

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Remotely-controlled (RC) vehicles, such as RC cars, boats, planes, and drones, use high energy-density lithium polymer batteries that enable powerful brushless DC motors to propel them at remarkable velocities. In prior work, measurements of the acoustic emissions from such motors on RC cars have been processed to estimate vehicle velocity, based on a spectral analysis of the emissions, together with a parametric model for the acoustic emissions, relating them to motor speed and vehicle velocity. This work builds on prior models for the acoustic emissions of the DC motors to estimate the motor speeds for in-water and in-air craft, including RC boats and drones. Spectrograms of the acoustic recordings of the vehicles at moving at constant velocity provide sufficient harmonic structure to effectively measure the Doppler shift at closest point of proximity, enabling vehicle velocity estimates. These, in turn, enable calibration of the harmonic structure for motor speed estimation. Preliminary results demonstrate the correlation between the speed profile of the vehicle, acoustic harmonic structure, and Doppler shift.
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Zavala, M., S. C. Herndon, R. S. Slott, E. J. Dunlea, L. C. Marr, J. H. Shorter, M. Zahniser, et al. "Characterization of on-road vehicle emissions in the Mexico City Metropolitan Area using a mobile laboratory in chase and fleet average measurement modes during the MCMA-2003 field campaign." Atmospheric Chemistry and Physics Discussions 6, no. 3 (June 12, 2006): 4689–725. http://dx.doi.org/10.5194/acpd-6-4689-2006.

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Abstract. A mobile laboratory was used to measure on-road vehicle emission ratios during the MCMA-2003 field campaign held during the spring of 2003 in the Mexico City Metropolitan Area (MCMA). The measured emission ratios represent a sample of emissions of in-use vehicles under real world driving conditions for the MCMA. From the relative amounts of NOx and selected VOC's sampled, the results indicate that the technique is capable of differentiating among vehicle categories and fuel type in real world driving conditions. Emission ratios for NOx, NOy, NH3, H2CO, CH3CHO, and other selected volatile organic compounds (VOCs) are presented for chase sampled vehicles and fleet averaged emissions. Results indicate that colectivos, particularly CNG-powered colectivos, are potentially significant contributors of NOx and aldehydes in the MCMA. Similarly, ratios of selected VOCs and NOy showed a strong dependence on traffic mode. These results are compared with the vehicle emissions inventory for the MCMA, other vehicle emissions measurements in the MCMA, and measurements of on-road emissions in US cities. Our estimates for motor vehicle emissions of benzene, toluene, formaldehyde, and acetaldehyde in the MCMA indicate these species are present in concentrations higher than previously reported. The high motor vehicle aldehyde emissions may have an impact on the photochemistry of urban areas.
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Cui, Mengying, and David Levinson. "Internal and External Costs of Motor Vehicle Pollution." Transportation Research Record: Journal of the Transportation Research Board 2674, no. 11 (September 10, 2020): 498–511. http://dx.doi.org/10.1177/0361198120941502.

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On-road emissions, a dominant source of urban air pollution, damage human health. Emissions increase air pollution intake (and damage health) of travelers (internal costs), and of non-travelers (external costs). This research constructs a framework modeling the microscopic production of emission cost from the vehicle and link level and applies it to a metropolitan road network. It uses project-level Motor Vehicle Emission Simulator (MOVES) simulations to model link-specific on-road emissions, and then employs the RLINE dispersion model to estimate on- and off-road concentrations of pollutants from vehicles. The internal and external emission costs are measured accordingly by counting the health damage costs of travelers and general population because of exposure. The framework is applied to the Minneapolis-St. Paul (Twin Cities) Metropolitan Area as a proof-of-concept. The estimates show that highways have higher emission concentrations because of higher traffic flow, but that the internal and external emission costs per vehicle kilometer traveled are lower. The emission costs that commuters impose on others greatly exceeds that which they bear. This modeling process is replicable for planners and practitioners assessing emission costs in other regions.
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Sari, Erza Guspita, and Muhammad Sofwan. "Carbon Dioxide (CO2) Emissions Due to Motor Vehicle Movements in Pekanbaru City, Indonesia." Journal of Geoscience, Engineering, Environment, and Technology 6, no. 4 (December 30, 2021): 234–42. http://dx.doi.org/10.25299/jgeet.2021.6.4.7692.

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Land use has a very close relationship with transportation. Transportation is formed as a result of the interaction between land use and its support system. Good land use supported by good infrastructure will result in good movement as well. Accessibility is one of the supporting factors for good interaction between transportation and land use—the better the land use conditions in an area, the greater the movement in that area. However, the interaction between land use and transportation can cause one of the problems: the increase in carbon dioxide emissions due to the more significant movement of motorized vehicles. Motor vehicles are the most significant contributor to carbon dioxide (CO2) emissions in the world. The further the route traveled by motorized vehicles, the more carbon dioxide (CO2) emissions will increase. This study aims to analyze the average total emission of carbon dioxide (CO2) resulting from transportation activities in Pekanbaru City into two parts, namely: (1) Based on Travel Time (2) Based on the type of vehicle. Vehicle Kilometers of Travel (VKT) and Emission Factors are the primary data in calculating Carbon Dioxide (CO2) Emissions. The research area consists of 12 zones involving 1,342 households in Pekanbaru City. Based on travel time, 52% of community motorized vehicle movement activities are carried out in the morning. Private cars contribute 65% of carbon dioxide (CO2) emissions in Pekanbaru City based on the type of vehicle. This study found that a high number of motorized vehicles cannot be used as a benchmark that the resulting emissions will also be high. However, the emission of carbon dioxide (CO2) depends on the fuel consumption of each vehicle. The higher the fuel consumption, the higher the amount of carbon dioxide (CO2) emissions released by motorized vehicles.
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Zavala, M., S. C. Herndon, R. S. Slott, E. J. Dunlea, L. C. Marr, J. H. Shorter, M. Zahniser, et al. "Characterization of on-road vehicle emissions in the Mexico City Metropolitan Area using a mobile laboratory in chase and fleet average measurement modes during the MCMA-2003 field campaign." Atmospheric Chemistry and Physics 6, no. 12 (November 8, 2006): 5129–42. http://dx.doi.org/10.5194/acp-6-5129-2006.

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Abstract. A mobile laboratory was used to measure on-road vehicle emission ratios during the MCMA-2003 field campaign held during the spring of 2003 in the Mexico City Metropolitan Area (MCMA). The measured emission ratios represent a sample of emissions of in-use vehicles under real world driving conditions for the MCMA. From the relative amounts of NOx and selected VOC's sampled, the results indicate that the technique is capable of differentiating among vehicle categories and fuel type in real world driving conditions. Emission ratios for NOx, NOy, NH3, H2CO, CH3CHO, and other selected volatile organic compounds (VOCs) are presented for chase sampled vehicles in the form of frequency distributions as well as estimates for the fleet averaged emissions. Our measurements of emission ratios for both CNG and gasoline powered "colectivos" (public transportation buses that are intensively used in the MCMA) indicate that – in a mole per mole basis – have significantly larger NOx and aldehydes emissions ratios as compared to other sampled vehicles in the MCMA. Similarly, ratios of selected VOCs and NOy showed a strong dependence on traffic mode. These results are compared with the vehicle emissions inventory for the MCMA, other vehicle emissions measurements in the MCMA, and measurements of on-road emissions in U.S. cities. We estimate NOx emissions as 100 600±29 200 metric tons per year for light duty gasoline vehicles in the MCMA for 2003. According to these results, annual NOx emissions estimated in the emissions inventory for this category are within the range of our estimated NOx annual emissions. Our estimates for motor vehicle emissions of benzene, toluene, formaldehyde, and acetaldehyde in the MCMA indicate these species are present in concentrations higher than previously reported. The high motor vehicle aldehyde emissions may have an impact on the photochemistry of urban areas.
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Bishop, Gary A., Donald H. Stedman, and Lowell Ashbaugh. "Motor Vehicle Emissions Variability." Journal of the Air & Waste Management Association 46, no. 7 (July 1996): 667–75. http://dx.doi.org/10.1080/10473289.1996.10467501.

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Ubanwa, B., A. Burnette, S. Kishan, and S. G. Fritz,. "Exhaust Particulate Matter Emission Factors and Deterioration Rate for In-Use Motor Vehicles." Journal of Engineering for Gas Turbines and Power 125, no. 2 (April 1, 2003): 513–23. http://dx.doi.org/10.1115/1.1559904.

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Recent measurements and modeling of primary exhaust particulate matter (PM) emissions from both gasoline and diesel-powered motor vehicles suggest that many vehicles produce PM at rates substantially higher than assumed in the current EPA PM emission factor model, known as “PART5.” The discrepancy between actual versus modeled PM emissions is generally attributed to inadequate emissions data and outdated assumptions in the PART5 model. This paper presents a study with the objective of developing an in-house tool (a modified PART5 model) for the Texas Natural Resource Conservation Commission (TNRCC) to use for estimating motor vehicle exhaust PM emissions in Texas. The work included chassis dynamometer emissions testing on several heavy-duty diesel vehicles at the Southwest Research Institute (SwRI), analysis of the exhaust PM emissions and other regulated pollutants (i.e., HC,CO,NOx), review of related studies and exhaust PM emission data obtained from literature of similar types of light and heavy-duty vehicle tests, a review of the current PART5 model, and analysis of the associated emission deterioration rates. Exhaust PM emissions data obtained from the vehicle testing at SwRI and other similar studies (covering a relatively large number and wide range of vehicles) were merged, and finally, used to modify the PART5 model. The modified model, which was named PART5-TX1, was then used to estimate new exhaust PM emission factors for in-use motor vehicles. Modifications to the model are briefly described, along with emissions test results from the heavy-duty diesel-powered vehicles tested at SwRI. Readers interested in a detailed understanding of the techniques used to modify the PART5 model are referred to the final project report to TNRCC (Eastern Research Group 2000).
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Hodijah, Nurhadi, Bintal Amin, and Mubarak Mubarak. "Estimasi Beban Pencemar Dari Emisi Kendaraan Bermotor di Ruas Jalan Kota Pekanbaru." Dinamika Lingkungan Indonesia 1, no. 2 (July 14, 2014): 71. http://dx.doi.org/10.31258/dli.1.2.p.71-79.

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Increasing population and economy in Pekanbaru City was clearly followed by anincrease in the number of motor vehicles has the potential to cause air pollution andendanger human health. This research was aimed to analyze the pollutant load gases of CO,HC, NO 2 , SO 2 and PM 10 emissions from motor vehicles at at Pekanbaru City. Survey on thevolume of motor vehicles, roadside air quality and vehicle emission test was conducted onthree different road in Pekanbaru city. The volume of motor vehicles and pollutants loadsfrom motor vehicle emissions was highest at Sudirman road and the lowest at Diponegororoad. There are very significant differences between Sudirman road with Diponegoro roadand Tuanku Tambusai road with Diponegoro road. Higher pollutant load was found for gasCO (76,4 %), than gas HC (19,4 %), gas NO 2 (3,6 %), gas SO 2 (0,1 % ) and PM 10 ( 0,7 % ).The largest contribution of pollutant load gas CO, HC and PM 10 comes from motorcycles, gasNO 2 from the city cars and gas SO 2 coming from the truck. The quality of roadside air in thethird road to the gases CO, NO 2 , SO 2 and PM 10 are still below the ambient air qualitystandards, whilest gas HC had passed the ambient air quality standard. A positive correlationbetween concentrations of roadside air pollutants with a load of motor vehicle emissions wasfound. The percentage of motor vehicle emission test results explain that the rates of vehiclesfueled with gasoline were higher than diesel vehicles and that do not pass of the emission testwere generally produced before 2007, while for diesel vehicles that do not pass the emissionstest opacity value that were produced in the 2010 onward.
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Dissertations / Theses on the topic "Motor vehicle emissions"

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West, Sarah Elizabeth. "Public finance solutions to vehicle emissions problems /." Digital version accessible at:, 1999. http://wwwlib.umi.com/cr/utexas/main.

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Kern, Justin M. "Inventory and prediction of heavy-duty diesel vehicle emissions." Morgantown, W. Va. : [West Virginia University Libraries], 2000. http://etd.wvu.edu/templates/showETD.cfm?recnum=1245.

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Thesis (M.S.)--West Virginia University, 2000.
Title from document title page. Document formatted into pages; contains x, 125 p. : ill. (some col.), map Includes abstract. Includes bibliographical references (p. 100-103).
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Andrei, Paul. "Real world heavy-duty vehicle emissions modeling." Morgantown, W. Va. : [West Virginia University Libraries], 2001. http://etd.wvu.edu/templates/showETD.cfm?recnum=2048.

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Thesis (M.S.)--West Virginia University, 2001.
Title from document title page. Document formatted into pages; contains xviii, 100 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 98-100).
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Jiménez-Palacios, José Luis 1968. "Understanding and quantifying motor vehicle emissions with vehicle specific power and TILDAS remote sensing." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/44505.

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Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1999.
Includes bibliographical references (p. 345-361).
Motor vehicles are one of the largest sources of air pollutants worldwide. Despite their importance, motor vehicle emissions are inadequately understood and quantified. This is due in part to large variations in individual vehicle emissions with changing operating conditions, and to significant differences between vehicles. To better relate emissions with operating conditions, a new parameter termed "specific power" (SP) is presented. SP is the instantaneous tractive power per unit vehicle mass. This parameter has three main advantages: it can be calculated from roadside measurements, it captures most of the dependence of light-duty vehicle emissions on driving conditions, and it is directly specified in emissions certification cycles. The dependence of CO, HC, and NOx emissions on SP is better than on several other commonly used parameters, such as speed, acceleration, power, or fuel rate. Using SP as the basic metric allows meaningful comparisons to be made between data from different remote sensing sites, dynamometer driving cycles, and emission models. Modem U.S. vehicles are likely to operate under commanded enrichment when SP exceeds the maximum value on the Federal Test Procedure (-22 kW/Metric Ton). This may allow transient high emissions to be screened out during future remote sensing campaigns. Remote sensing can address the problem of inter-vehicle differences by quickly and cheaply measuring the emissions of large numbers of vehicles. Here, a tunable infrared laser differential absorption spectrometer (TILDAS) remote sensor was used to gather the first on-road measurements of N20 and N02, and the first high precision measurements of NO. NO was detected with a sensitivity of 5 ppm, which allowed even Ultra Low Emission Vehicles to be measured. On-road accuracy was demonstrated by comparing the TILDAS results with the on-board measurements of a heavy-duty diesel truck (HDDT). The remote sensor could operate with an optical path length of 88 meters, more than five times that of competing instruments. The NO and N20 emission distributions of passenger cars (PCs) and light-duty trucks (LDTs) were found to be highly skewed, while the NO emission distribution for HDDTs was not. N20 emissions from PCs and LDTs are estimated to contribute between 0.5% and 0.9% to U.S. greenhouse gas emissions.
by José Luis Jiménez-Palacios.
Ph.D.
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Hitchins, Jane. "Dispersion of particles from vehicle emissions." Thesis, Queensland University of Technology, 2001.

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Barnett, Ryan A. "Characterization of infield vehicle activity data and exhaust emissions from diesel powered off-road vehicles." Morgantown, W. Va. : [West Virginia University Libraries], 2001. http://etd.wvu.edu/templates/showETD.cfm?recnum=2094.

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Thesis (M.S.)--West Virginia University, 2001.
Title from document title page. Document formatted into pages; contains xv, 164 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 154-156).
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Riddle, Wesley C. "Design and evaluation of the emissions measurement components for a heavy-duty diesel powered vehicle mobile emissions measurement system (MEMS)." Morgantown, W. Va. : [West Virginia University Libraries], 2001. http://etd.wvu.edu/templates/showETD.cfm?recnum=1939.

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Thesis (M.S.)--West Virginia University, 2001.
Title from document title page. Document formatted into pages; contains viii, 167 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 128-130).
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Nyika, Paidamoyo A. "An anaysis [sic] of a reformulated emission control diesel effects on heavy duty vehicle diesel exhaust emissions." Morgantown, W. Va. : [West Virginia University Libraries], 2001. http://etd.wvu.edu/templates/showETD.cfm?recnum=2120.

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Thesis (M.S.)--West Virginia University, 2001.
Title from document title page. Document formatted into pages; contains xvi, 111 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 107-111).
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Gajendran, Prakash. "Development of a heavy duty diesel vehicle emissions inventory prediction methodology." Morgantown, W. Va. : [West Virginia University Libraries], 2005. https://eidr.wvu.edu/etd/documentdata.eTD?documentid=4263.

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Thesis (Ph. D.)--West Virginia University, 2005.
Title from document title page. Document formatted into pages; contains xv, 173 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 168-173).
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Edirveerasingam, Veronica. "Implications of vehicle emissions in Lake Tahoe soils and sediments." abstract and full text PDF (free order & download UNR users only), 2006. http://0-gateway.proquest.com.innopac.library.unr.edu/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3239872.

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Books on the topic "Motor vehicle emissions"

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Cope, D. Vehicle emissions control system tampering. Ottawa, Ont: Environment Canada, 1988.

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Khare, M. Modelling urban vehicle emissions. Southampton, UK: WIT Press, 2002.

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Massachusetts. Office of the Inspector General. Vehicle emissions test results under the Massachusetts motor vehicle inspection program. [Boston, Mass.]: Office of the Inspector General, Commonwealth of Massachusetts, 2003.

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Lyons, John Kim. Gaseous-fueled vehicles: An alternative fuels vehicle, emissions, and refueling infrastructure technology assessment. Olympia, WA (925 Plum St. SE, P.O. Box 43165, Olympia 98504-3165): Washington State Energy Office, 1993.

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Warner-Selph, Mary Ann. Characterization of heavy-duty motor vehicle emissions under transient driving conditions. Research Triangle Park NC: U.S. Environmental Protection Agency, Atmospheric Sciences Research Laboratory, 1985.

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Grosjean, Daniel. Measurements of vehicle emissions of speciated carbonyls and carboxylic acids in highway tunnels. Alpharetta, GA: Coordinating Research Council, 2001.

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Swayne, Kerry L. Infrared remote sensing of on-road motor vehicle emissions in Washington State. Bellevue, WA: Air Quality Program, Washington State Dept. of Ecology, Northwest Regional Office, 1999.

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Helmut, Weidner, and Anglo-German Foundation for the Study of Industrial Society., eds. The politics of reducing vehicle emissions in Britain and Germany. London: Pinter, 1995.

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Chandrasiri, Sunil. Health impacts of diesel vehicle emissions: The case of Colombo. Singapore: Economy and Environment Program for Southeast Asia, 2006.

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Porter, Christopher, David Kall, Daniel Beagan, Richard Margiotta, John Koupal, Scott Fincher, and Alan Stanard. Input Guidelines for Motor Vehicle Emissions Simulator Model, Volume 3: Final Report. Washington, D.C.: Transportation Research Board, 2015. http://dx.doi.org/10.17226/22212.

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Book chapters on the topic "Motor vehicle emissions"

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Bikam, Peter Bitta. "Vehicle Management and Emission Control and Maintenance." In Green Economy in the Transport Sector, 51–64. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86178-0_5.

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AbstractSouth Africa range 15th as the world largest CO2 emitter contributing to 1.2% of global emission. During the Kyoto Protocol of 2014, South Africa pledged to reduce its emission by 34% and 42% in 2020 and 2025 respectively. This study is a combination of literature review from South Africa with particular emphasis on road transport. The focus was on vehicle emission with reference to Limpopo Province to demonstrate how emissions from primarily the use of diesel and petrol as one of the major contributors to CO2 emission in the province are vital for the sustainability debate. The methodology used to illustrate the dangers of vehicular emissions were based on statistical estimates from the Department of Environmental Affairs (DEA) inventory report from 2000 to 2010. The information used in assessing the vehicle emission standards in Limpopo were obtained from DEA. The findings from literature reviews in general and the results from the field survey from Limpopo Province shed some light on South Africa's vehicle emissions policy issues and standards. Also the analysis focused on the impact of vehicular fleet management and carbon emissions. The article concludes by drilling down to vehicle users, motor vehicle repairs, engine over haulers, used engine collection and disposal with respect to their roles in vehicle emission and control in South Africa.
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Ďurinová, Ivona. "Zdaňovanie motorových vozidiel ako nástroj na podporu udržateľnej spotreby a výroby." In Socio-economic Determinants of Sustainble Consumption and Production II, 37–49. Brno: Masaryk University Press, 2021. http://dx.doi.org/10.5817/cz.muni.p210-8640-2021-4.

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The state can make a significant contribution to sustainable development through various tax policy instruments. At present, the topic of how to reduce emissions and protect the environment, which is polluted heavily every day due to motor vehicles, is being widely discussed. The aim of the work is based on a comparison of the legal regulation of motor vehicle taxation in the Slovak Republic and Germany to assess the use of motor vehicle tax in the Slovak Republic as a tool to support sustainable development and evaluate the trend in this area.
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Leung, D. Y. C., and D. J. Williams. "Modelling of Motor Vehicle Fuel Consumption and Emissions Using a Power-Based Model." In Urban Air Quality: Measurement, Modelling and Management, 21–29. Dordrecht: Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-010-0932-4_3.

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Dietl, C., D. Laschka, M. Wäber, and L. Peichl. "Biomonitoring of platinum immissions from motor vehicles." In Anthropogenic Platinum-Group Element Emissions, 65–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-59678-0_7.

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Wang, Rong. "Global Black Carbon Emissions from Motor Vehicles." In Global Emission Inventory and Atmospheric Transport of Black Carbon, 87–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-46479-3_5.

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Adamović, Dragan, Jovan Dorić, and Mirjana Vojinović-Miloradov. "BTEX in the Exhaust Emissions of Motor Vehicles." In Causes, Impacts and Solutions to Global Warming, 333–42. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7588-0_21.

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Erdősy, Dániel, István Bodnár, and Rafael Ruben Boros. "Electromagnetic Emission Rates Between 2-Phase and 3-Phase Motors." In Vehicle and Automotive Engineering 3, 174–85. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-9529-5_15.

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Lian, Aiping. "Motor Vehicle Emission Pollution Evaluation Model Based on Multi-user Dynamic Network." In Communications in Computer and Information Science, 580–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-27503-6_80.

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Dyvak, Mykola, Natalia Porplytsya, and Yurii Maslyiak. "Modified Method of Structural Identification of Interval Discrete Models of Atmospheric Pollution by Harmful Emissions from Motor Vehicles." In Advances in Intelligent Systems and Computing IV, 491–507. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-33695-0_33.

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"MOTOR VEHICLE EMISSIONS CONTROL." In Air Quality, Third Edition, 292–312. CRC Press, 2019. http://dx.doi.org/10.1201/noe1566702317-12.

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Conference papers on the topic "Motor vehicle emissions"

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Simav, Osman, Banu Dokuzeylül, and Mehmet Erman Or. "The Effects of Motor Vehicle Emissions on the Environment." In International Conference on Eurasian Economies. Eurasian Economists Association, 2018. http://dx.doi.org/10.36880/c10.02169.

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The pollutants emitted in the surroundings of motor vehicle exhausts vary according to the type of engine cycle, the use of fuel and the use of catalytic converters. Harmful compounds emitted from internal combustion engine exhaust (IYM) exhausts; HC Hydro Carbon, CO Carbon Monoxide, NOx Nitrogen Oxides and Particulate substances. Without the Catalytic Converter, the pollutant value of a motor vehicle operating with the Otto cycle and using gasoline is the highest. Diesel Motor Vehicles, which work with the Diesel cycle later, are the cleanest of these vehicles, which use the Otto cycle and use LPG. It is estimated that more than half of the polluters that lead to air pollution in large cities come from exhausts of motor vehicles. HC Hydrocarbons cause cancers in living things, CO poisoning carbon monoxide living things, causing deaths in case of excessive respiration. NOx Nitrogen Oxides disrupt the balance of nature as acid rain. CO2, which is thought to cause less damage, causes greenhouse effect in the atmosphere, causing the climate to change and the average temperature to increase. This study is to examine the effects of air pollution caused by exhaust gases on domestic pets, plant cover and water and other environment in the city.
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German, John. "Observations Concerning Current Motor Vehicle Emissions." In International Congress & Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1995. http://dx.doi.org/10.4271/950812.

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Petrovic, Stojan, Vladan Popovic, Ferdinan Trenc, and Dusan Venturini. "Motor Vehicle Exhaust Emissions Legislation Policy in Yugoslavia." In International Fuels & Lubricants Meeting & Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1991. http://dx.doi.org/10.4271/912427.

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Laurikko, Juhani. "Motor vehicle Exhaust Emissions and Control in Finland." In SAE International Congress and Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1989. http://dx.doi.org/10.4271/890584.

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Kishan, S., T. H. DeFries, and R. F. Klausmeier. "Description of a Motor Vehicle Evaporative Emissions Model-EVAP 2.0." In 1988 SAE International Fall Fuels and Lubricants Meeting and Exhibition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1988. http://dx.doi.org/10.4271/881593.

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Crookell, Andrew, Markku Kansakoski, and Richard A. Brook. "Remote sensing of motor vehicle exhaust emissions: the road ahead." In Environmental and Industrial Sensing, edited by Tuan Vo-Dinh and Stephanus Buettgenbach. SPIE, 2001. http://dx.doi.org/10.1117/12.417468.

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Yu, Fenghaoyue, Lei Yao, and Haiyan Liao. "Analysis of Motor Vehicle Exhaust Emissions Based on COPERT Model." In Fourth International Conference on Transportation Engineering. Reston, VA: American Society of Civil Engineers, 2013. http://dx.doi.org/10.1061/9780784413159.078.

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"Modelling motor vehicle emissions and population exposure in South Australia." In 20th International Congress on Modelling and Simulation (MODSIM2013). Modelling and Simulation Society of Australia and New Zealand, 2013. http://dx.doi.org/10.36334/modsim.2013.a1.schultz.

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Vu, Diep, Joseph Szente, Michael Loos, and Matti Maricq. "How Well Can mPEMS Measure Gas Phase Motor Vehicle Exhaust Emissions?" In WCX SAE World Congress Experience. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2020. http://dx.doi.org/10.4271/2020-01-0369.

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Vu, Diep, Joseph Szente, Michael Loos, and Matti Maricq. "How Well Can mPEMS Measure Particulate Matter Motor Vehicle Exhaust Emissions?" In WCX SAE World Congress Experience. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2020. http://dx.doi.org/10.4271/2020-01-0391.

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Reports on the topic "Motor vehicle emissions"

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Marshall, Julian D. Exposure to motor vehicle emissions: An intake fraction approach. Office of Scientific and Technical Information (OSTI), May 2002. http://dx.doi.org/10.2172/809924.

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Wang, M., H. Huo, L. Johnson, and D. He. Projection of Chinese motor vehicle growth, oil demand, and CO{sub 2}emissions through 2050. US: ANL, December 2006. http://dx.doi.org/10.2172/898531.

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Li, Yan, Yuhao Luo, and Xin Lu. PHEV Energy Management Optimization Based on Multi-Island Genetic Algorithm. SAE International, March 2022. http://dx.doi.org/10.4271/2022-01-0739.

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The plug-in hybrid electric vehicle (PHEV) gradually moves into the mainstream market with its excellent power and energy consumption control, and has become the research target of many researchers. The energy management strategy of plug-in hybrid vehicles is more complicated than conventional gasoline vehicles. Therefore, there are still many problems to be solved in terms of power source distribution and energy saving and emission reduction. This research proposes a new solution and realizes it through simulation optimization, which improves the energy consumption and emission problems of PHEV to a certain extent. First, on the basis that MATLAB software has completed the modeling of the key components of the vehicle, the fuzzy controller of the vehicle is established considering the principle of the joint control of the engine and the electric motor. Afterwards, based on the Isight and ADVISOR co-simulation platform, with the goal of ensuring certain dynamic performance and optimal fuel economy of the vehicle, the multi-island genetic algorithm is used to optimize the parameters of the membership function of the fuzzy control strategy to overcome it to a certain extent. The disadvantages of selecting parameters based on experience are compensated for, and the efficiency and feasibility of fuzzy control are improved. Finally, the PHEV vehicle model simulation comparison was carried out under the UDDS working condition through ADVISOR software. The optimization results show that while ensuring the required power performance, the vehicle fuzzy controller after parameter optimization using the multi-island genetic algorithm is more efficient, which can significantly reduce vehicle fuel consumption and improve exhaust emissions.
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Kubota, Hidenobu. Motor Vehicle Emission Control in Japan. Warrendale, PA: SAE International, May 2005. http://dx.doi.org/10.4271/2005-08-0140.

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Norbeck, J. M., T. D. Durbin, and T. J. Truex. Final report for measurement of primary particulate matter emissions from light-duty motor vehicles. Office of Scientific and Technical Information (OSTI), December 1998. http://dx.doi.org/10.2172/755353.

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Development of an Adaptive Efficient Thermal/Electric Skipping Control Strategy Applied to a Parallel Plug-in Hybrid Electric Vehicle. SAE International, March 2022. http://dx.doi.org/10.4271/2022-01-0737.

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In recent years automobile manufacturers focused on an increasing degree of electrification of the powertrains with the aim to reduce pollutants and CO2 emissions. Despite more complex design processes and control strategies, these powertrains offer improved fuel exploitation compared to conventional vehicles thanks to intelligent energy management. A simulation study is here presented aiming at developing a new control strategy for a P3 parallel plug-in hybrid electric vehicle. The simulation model is implemented using vehicle modeling and simulation toolboxes in MATLAB/Simulink. The proposed control strategy is based on an alternative utilization of the electric motor and thermal engine to satisfy the vehicle power demand at the wheels (Efficient Thermal/Electric Skipping Strategy - ETESS). The choice between the two units is realized through a comparison between two equivalent fuel rates, one related to the thermal engine and the other related to the electric consumption. An adaptive function is introduced to develop a charge-blended control strategy. The novel adaptive control strategy (A-ETESS) is applied to estimate fuel consumption along different driving cycles. The control algorithm is implemented on a dedicated microcontroller unit performing a Processor-In-the-Loop (PIL) simulation. To demonstrate the reliability and effectiveness of the A-ETESS, the same adaptive function is built on the Equivalent Consumption Minimization Strategy (ECMS). The PIL results showed that the proposed strategy ensures a fuel economy similar to ECMS (worse of about 2% on average) and a computational effort reduced by 99% on average. This last feature reveals the potential for real-time on-vehicle applications.
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Comparative Analysis on Fuel Consumption Between Two Online Strategies for P2 Hybrid Electric Vehicles: Adaptive-RuleBased (A-RB) vs Adaptive-Equivalent Consumption Minimization Strategy (A-ECMS). SAE International, March 2022. http://dx.doi.org/10.4271/2022-01-0740.

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Hybrid electric vehicles (HEVs) represent one of the main technological options for reducing vehicle CO2 emissions, helping car manufacturers (OEMs) to meet the stricter targets which are set by the European Green Deal for new passenger cars at 80 g CO2/km by 2025. The optimal power-split between the internal combustion engine (ICE) and the electric motor is a challenge since it depends on many unpredictable variables. In fact, HEV improvements in fuel economy and emissions strongly depend on the energy management strategy (EMS) on-board of the vehicle. Dynamic Programming approach (DP), direct methods and Pontryagin’s minimum principle (PMP) are some of the most used methodologies to optimize the HEV power-split. In this paper two online strategies are evaluated: an Adaptive-RuleBased (A-RB) and an Adaptive-Equivalent Consumption Minimization Strategy (A-ECMS). At first, a description of the P2 HEV model is made. Second, the two sub-optimal strategies are described in detail and then implemented on the HEV model to derive the fuel-optimal control strategy managing the power split between the thermal and electric engine to satisfy the driver's power request, including the engine on/off operating mode and the best gear selection. Finally, the two proposed strategies are tested on different driving cycles and then compared to other commercial strategies available in literature, such as the Equivalent Consumption Minimization Strategy (ECMS) and a RuleBased (RB) strategy. The results show that the A-ECMS is more conservative in terms of state of charge (SoC) compared to the A-RB. In fact, in the A-ECMS the SoC is always within the admissible range with considerable margin from the upper and lower limits for tested cycles, while in the A-RB a deep discharge of the battery is allowed. This behavior leads to a better fuel consumption of the A-RB compared to the A-ECMS, both in the WLTC and in the FTP-75 cycle.
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