Relevant bibliographies by topics / VEHICAL POLLUTION

Contents

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

Academic literature on the topic 'VEHICAL POLLUTION'

Author: Grafiati
Published: 11 September 2023

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Journal articles on the topic "VEHICAL POLLUTION"

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M, Hariprasath. "Integrated Automated System for Monitoring and Alerting Vehicle Pollution." International Journal of Trend in Scientific Research and Development Volume-3, Issue-1 (December 31, 2018): 1294–97. http://dx.doi.org/10.31142/ijtsrd20246.

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Lihui Lv, Lihui Lv, Wenqing Liu Wenqing Liu, Guangqiang Fan Guangqiang Fan, Tianshu Zhang Tianshu Zhang, Yunsheng Dong Yunsheng Dong, Zhenyi Chen Zhenyi Chen, Yang Liu Yang Liu, Haoyun Huang Haoyun Huang, and and Yang Zhou and Yang Zhou. "Application of mobile vehicle lidar for urban air pollution monitoring." Chinese Optics Letters 14, no. 6 (2016): 060101–60106. http://dx.doi.org/10.3788/col201614.060101.

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He, Zheng, Gang Ye, Hui Jiang, and Youming Fu. "Vehicle Emission Detection in Data-Driven Methods." Mathematical Problems in Engineering 2020 (October 13, 2020): 1–13. http://dx.doi.org/10.1155/2020/4875310.

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Environmental protection is a fundamental policy in many countries, where the vehicle emission pollution turns to be outstanding as a main component of pollutions in environmental monitoring. Remote sensing technology has been widely used on vehicle emission detection recently and this is mainly due to the fast speed, reality, and large scale of the detection data retrieved from remote sensing methods. In the remote sensing process, the information about the fuel type and registration time of new cars and nonlocal registered vehicles usually cannot be accessed, leading to the failure in assessing vehicle pollution situations directly by analyzing emission pollutants. To handle this problem, this paper adopts data mining methods to analyze the remote sensing data to predict fuel type and registration time. This paper takes full use of decision tree, random forest, AdaBoost, XgBoost, and their fusion models to successfully make precise prediction for these two essential information and further employ them to an essential application: vehicle emission evaluation.
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Velásquez Chacón, Erika, and Efraín Jesús Molina Pinto. "Natural energy resources and their impact on environmental pollution in the transport sector in Perú." Illustro 12, no. 1 (December 31, 2021): 103–19. http://dx.doi.org/10.36901/illustro.v12i1.1383.

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Natural energy resources such as natural gas are important in the development of countries that have reserves. These resources may also important in the reduction of polluting emissions generated by the vehicles of the automotive fleet. In this context, the production of natural gas fuel for vehicles allows the reduction of emissions and, consequently, of the levels of air pollution. The objective of this study is to evaluate natural energy resources and their impact on environmental pollution in the transport sector, the availability of these energy resources, the impact of pollution and the strategies for the reduction of emissions, in the Peruvian context, by reviewing information from various sources. Peru has developed projects for the production of natural gas and initiatives to distribute through a gas pipeline network. The growth of the vehicle fleet has generated high levels of air pollution in the country’s cities. Natural gas vehicle fuel emits almost no heavy particles, and does not generate much PM10, and as many polluting emissions such as CO2, CO, NOx, SO2, HC, generated by other fuels. There are still limitations in emission reduction strategies because the adaptation of vehicles to natural gas has decreased due to the high costs of the service and the perception of not obtaining benefits in its use, in addition to having few establishments that sell natural gas throughout the country.
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Holnicki, Piotr, Zbigniew Nahorski, and Andrzej Kałuszko. "Impact of Vehicle Fleet Modernization on the Traffic-Originated Air Pollution in an Urban Area—A Case Study." Atmosphere 12, no. 12 (November 27, 2021): 1581. http://dx.doi.org/10.3390/atmos12121581.

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The main subject of this paper is an analysis of the influence of changes in the air pollution caused by road traffic, due to its modernization, on the air quality in Warsaw conurbation, Poland. Using the Calpuff model, simulations of the yearly averaged concentrations of NOx, CO, PM10, and PM2.5 were performed, together with an assessment of the population exposure to individual pollutions. Source apportionment analysis indicates that traffic is the main source of NOx and CO concentrations in the city atmosphere. Utilizing the Euro norms emission standards, a scenario of vehicle emission abatement is formulated based on the assumed general vehicle fleet modernization and transition to Euro 6 emission standards. Computer simulations show a reduction in NOx concentrations attributed to emission mitigation of passenger cars, trucks and vans, and public transport buses, respectively. On the other hand, improving air quality in terms of CO concentrations depends almost exclusively on gasoline vehicle modernization. The implementation of the considered scenario causes an adequate reduction in the population exposure and related health effects. In particular, implementation of the scenario discussed results in a 47% reduction (compared with the baseline value) in the attributable yearly deaths related to NOx pollution. In spite of a substantial contribution of vehicle traffic to the overall PM pollution, modernization of the fuel combustion causes only minor final effects because the dominant share of PM pollution in Warsaw originates from the municipal sector and the transboundary inflow.
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Rossi, Riccardo, Daniele Di Giovanni, Andrea Malizia, and Pasqualino Gaudio. "Measurements of Vehicle Pollutants in a High-Traffic Urban Area by a Multiwavelength Dial Approach: Correlation Between Two Different Motor Vehicle Pollutants." Atmosphere 11, no. 4 (April 14, 2020): 383. http://dx.doi.org/10.3390/atmos11040383.

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The development and improvement of monitoring techniques to measure the concentration of pollutants in the atmosphere are a starting point to guarantee high levels of human health and environmental safety. The combination of lidar and dial techniques, by measuring backscattering signals and reconstructing the map of their concentrations, can be used to provide detailed information about the presence of aerosols, particulate and pollutions. Moreover, by using a multiwavelength approach, it is possible to increase the measurement accuracy and reliability. In this work, the dial approach is used to monitor the pollution in a very congested urban area with high traffic. In order to provide a validation of the results, correlation analyses between the measured pollutants was performed. A new lidar analysis method, based on the least-square minimization technique, was introduced and demonstrated to work properly. The dial capability to detect polluted areas was shown—and by correlation analysis—also the possibility to identify the source of pollutions can be performed.
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Marino, Concettina, Cosimo Monterosso, Antonino Nucara, Maria Francesca Panzera, and Matilde Pietrafesa. "Analysis of the Reduction of Pollutant Emissions by the Vehicle Fleet of the City of Reggio Calabria Due to the Introduction of Ecological Vehicles." Sustainability 12, no. 7 (April 4, 2020): 2877. http://dx.doi.org/10.3390/su12072877.

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Nowadays, the effects of pollution at a global scale are mainly due to the emissions of greenhouse gases (CO2 in particular), especially generated by thermoelectrical plants, as well as the transport, industrial, and civil sectors. Moreover, local pollution effects are generated by several pollutants, such as CO, NOx, SOx, VOC, and PM, produced during combustion in transports or building thermal plants. Because of the increasing demand for mobility at an urban scale, pollution caused by transportation plays a significant role. To reduce its environmental impact, a partial or total replacement of old and polluting vehicles with more ecological ones must be urgently implemented. With this aim, in the paper, a detailed analysis of the vehicle fleet of the city of Reggio Calabria (Italy), with reference to passenger cars has been carried out, elaborating four scenarios to reduce their pollutant emissions from 2017 to 2025, both greenhouse gases and local scale ones, through the replacement of old and polluting vehicles with hybrid or electric ones.
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Nahar, Najmun, Sanjia Mahiuddin, and Zakaria Hossain. "The Severity of Environmental Pollution in the Developing Countries and Its Remedial Measures." Earth 2, no. 1 (February 28, 2021): 124–39. http://dx.doi.org/10.3390/earth2010008.

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Environmental pollution has a great impact on human health, ecosystems, and financial development. This paper depicts the recent studies on the severity of environmental pollution in developing countries. Its remedial measures were based on a questionnaire survey in the polluted sites, which collected data and information on the types, causes, effects, sources, and duration of environmental pollution, obtained from available publications and newspaper information reported in recent years. A total of 400 respondents from 10 zones of Dhaka City Corporation, Bangladesh, were interviewed as a case study via a semi-structured questionnaire survey. The results revealed that only 39.0% of respondents had explicit knowledge about environmental pollution. Air pollution was identified by 73.8%, noise pollution by 63.0%, water pollution by 55.2%, and soil pollution by only 6.5% of respondents in their surroundings. Automobiles, domestic activities, municipal garbage, and vehicle horns are significant sources of environmental pollutions. Around 49.0% of the respondents did not understand the effectiveness of currently conducted environmental programs. A discussion regarding the urgency of forming a local level environmental committee, the mass media’s active role, and monitoring the development activities was presented.
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Bityukova, V. R., N. A. Mozgunov, and N. V. Petukhova. "Vehicle Рollution Modern Tendencies in the Regional Centers of the Central Federal District: Multi-scale Analysis." Ecology and Industry of Russia 24, no. 2 (February 26, 2020): 57–63. http://dx.doi.org/10.18412/1816-0395-2020-2-57-63.

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There are considered changes of automotive transports’ emission volumes factors on different territorial level. The emissions’ dynamic in Central Federal district and in Moscow was shown. At the local level the determining factor in vehicle pollutions’ is changing in building density and transport and planning structure. Pollution reduction in Moscow has a center-peripheral gradient and occurs in areas where the road network transformation is combined with the development of the public transport system.
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Mosadegh, Mahdi, Mohammad M. Jalili, and Abbas Mazidi. "A bond graph model for simulating the effects of regenerative braking system on emission of a hybrid vehicle." Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics 232, no. 4 (December 19, 2017): 481–500. http://dx.doi.org/10.1177/1464419317748015.

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Nowadays, vehicles have major role in the transportation of people and goods. The air pollution and fuel consumption are the most important topics in this subject. One of the methods used for reducing fuel consumption is regenerative braking systems. Very few researches have studied the effects of regenerative braking system on emission of hybrid vehicles. In this research, using bond graph method, a vehicle model including combustion, heat transfer, power generation, power transmission, braking, energy storage system and vehicle body is simulated. To determine the amount of pollution generation, an incomplete combustion model and complete gas theory are assumed and Arrhenius equation is used for modelling the combustion reaction velocity. This model can determine fuel consumption in any actual operating condition and also all pollutions generated by incomplete combustion in the engine. This is the preference of this research while most of previous researches using engine fuel map to determine fuel consumption and unable to define all kind of pollutions. The body of the vehicle is modelled with seven degrees of freedom mass-spring-damper model. Also, the hydraulic braking system is modelled by acting braking torque on wheels. Using this vehicle model and its parameters, amount of energy consumption and emission of the vehicle equipped with regenerative braking system are achieved and compared with the results of the same vehicle without regenerative braking system. Simulations are performed on two standard Economic Commission for Europe and extra urban driving cycles to determine regenerative braking system operation effects on reducing fuel consumption and emission in each cycle. Results show that a vehicle with this equipment is capable of reducing fuel consumption and emission in comparing with an unequipped vehicle. Using regenerative braking system in Economic Commission for Europe cycle, in comparing with extra urban driving cycle, is more efficient in reducing emission and fuel consumption. According to the results, regenerative braking system makes more deceleration than Hydraulic Braking System in high speeds.
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Dissertations / Theses on the topic "VEHICAL POLLUTION"

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Hargreaves, David Michael. "Analytical and experimental studies of vehicle pollution dispersion." Thesis, University of Nottingham, 1997. http://eprints.nottingham.ac.uk/10194/.

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Using a dual approach of wind tunnel experimentation and the development of an analytical model, the dispersion of pollutants from road vehicles has been investigated. A series of novel tests were conducted in an environmental wind tunnel which looked at the dispersion of propane in the wake of a 1=50th scale model of a lorry which was fired across the wind tunnel using a special rig. Time histories of concentration and air flow were taken as the lorry sped across the tunnel. Two experimental scenarios were investigated. The first, a simulation of a typical rural boundary layer, confirmed the existence of a wake behind the moving lorry. Concentration measurements revealed that the dispersion was largely Gaussian in nature and that at low cross wind speeds the vehicle-induced turbulence was the dominant mixing effect. Measurements were taken as the lorry passed along a model of an idealized urban street canyon. Time histories for individual firings exhibited two peaks as the propane was swept around the canyon in the resident vortex. Ensemble averages of several firings allowed a quantitative assessment of the rate of dispersal from the canyon to be made. A computer model has been developed which predicts the dispersion of vehicular pollutants in both the rural and the urban street canyon environments. The model, based around the Gaussian Puff Method, extends the range of applicability of earlier models in several areas. It is a transient model which enables the investigation of traffic congestion and non-steady above canyon wind fields. It is also the first model to include individual vehicles as sources of both pollutant and turbulence. A detailed sensitivity study is presented, followed by an application of the model which attempts to predict probability distributions of pollutant in a street canyon. Finally, a comparison between the analytical model and the experimental program is presented which demonstrates that the model is capable of modelling a real situation to a good degree of accuracy but also demonstrates that further validation is required.
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Au, Yeung Ching-cheong Stephen. "Local policies and the environment a study on vehicle pollution /." Click to view the E-thesis via HKUTO, 2007. http://sunzi.lib.hku.hk/hkuto/record/B3847735X.

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Au, Yeung Ching-cheong Stephen, and 歐陽精祥. "Local policies and the environment: a study on vehicle pollution." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B3847735X.

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Grant, Christopher Daniel. "Representative vehicle operating mode frequencies : measurement and prediction of vehicle specific freeway modal activity." Diss., Georgia Institute of Technology, 1998. http://hdl.handle.net/1853/20492.

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Bock, Erin R. "An Analysis of Air Pollution from Recreational Vehicle Use in Maine." Fogler Library, University of Maine, 2003. http://www.library.umaine.edu/theses/pdf/BockER2003.pdf.

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Rizky, Hermawan. "Aromatherapy mask as a solution for vehicle exhaust emission motorcyclist pollution." Thesis, Видавництво СумДУ, 2011. http://essuir.sumdu.edu.ua/handle/123456789/10002.

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Behndig, Annelie F. "Airway antioxidant responses to oxidative air pollution and vitamin supplementation /." Umeå : Department of Public Health and Clinical Medicine, respiratory medicine and Allergy, Umeå University, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-742.

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Richards, Kathryn. "Computational modelling of pollution dispersion in the near wake of a vehicle." Thesis, University of Nottingham, 2003. http://eprints.nottingham.ac.uk/10108/.

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The feasibility of using CFD to model the dispersion of pollutant in the near wake of a model vehicle was investigated through a series of experimental and computational studies. The near wake structure of the MIRA 33% scale reference vehicle (fastback) was measured using Particle Image Velocimetry (PIV), and hotwire anemometry and the dispersion of a tracer measured using Flame Ionisation Detectors (FIDs). The experimental data not only provided insight into the dispersion character of the model vehicles's near wake but more importantly produced data for the validation of the numerical simulations of the measured near wake and dispersion fields. The numerical simulations of the near wake flow field were conducted using the CFD code STAR-CD with the standard, RNG, Chen and nonlinear (quadratic) k- e models in combination with Upwind (UD), Linear Upwind (LUD) and the Monotone Advection and Reconstruction (MARS) differencing schemes. Validation showed the predicted flow field to be in good agreement with the measured flow field. Using the numerical flow field predictions as a foundation the dispersion of a passive gaseous pollutant was simulated by modelling the dispersion of scalar quantity released into the computational domain using a fluid injection technique. The numerical predictions of both mean velocity and concentration fields were validated against the experimental data using various statistical validation techniques. Several short investigations into the influence of vehicle speed and exhaust mass flow rate were also conducted to further assess the applicability and use of the technique in investigating dispersion in the near wake of a vehicle. Relative successes in both the velocity field and dispersion simulations were demonstrated in making predictions of the mean velocity and concentration fields. However there is clearly the need for more development and in particular the application of time-dependent techniques for the underlying velocity solutions in order that peaks in mean concentration resulting from build-up due to unsteadiness in the flow field are fully captured. Nevertheless the study demonstrated the potential for the use of STAR-CD to investigate and understand in more detail the dispersion of pollution close behind a road vehicle and possibly assess the concentration levels, at the road side of different pollutants released.
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Granell, Jessica L. "Model year distribution and vehicle technology composition of the onroad fleet as a function of vehicle registration data and site location characteristics." Diss., Georgia Institute of Technology, 2002. http://hdl.handle.net/1853/20697.

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Dabbas, Wafa M. "Modelling vehicle emissions from an urban air-quality perspective:testing vehicle emissions interdependencies." Thesis, The University of Sydney, 2010. http://hdl.handle.net/2123/5866.

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Abstract This thesis employs a statistical regression method to estimate models for testing the hypothesis of the thesis of vehicle emissions interdependencies. The thesis at the beginnings, reviews critically the formation of emissions in gasoline-fuelled engines, and also reviews existing and emerging models of automotive emissions. The thesis then, presents the relationships between the urban transport system and vehicle emissions. Particularly, it summarises different types of emissions and the contributory factors of the urban transport system to such emissions. Subsequently, the thesis presents the theory of vehicle emissions interdependencies and the empirical framework for testing the hypothesis of the thesis. The scope of testing the hypothesis of the thesis is only limited to gasoline-fuelled conventional vehicles in the urban transport environment. We use already available laboratory-based testing dataset of 542 passenger vehicles, to investigate the hypothesis of the thesis of vehicle emissions interdependencies. HC, CO, and NOX emissions were collected under six test drive-cycles, for each vehicle before and after vehicles were tuned. Prior to using any application, we transform the raw dataset into actionable information. We use three steps, namely conversion, cleaning, and screening, to process the data. We use classification and regression trees (CART) to narrow down the input number of variables in the models formulated for investigating the hypothesis of the thesis. We then, utilise initial results of the analysis to fix any remaining problems in the data. We employ three stage least squares (3SLS) regression to test the hypothesis of the thesis, and to estimate the maximum likelihood of vehicle variables and other emissions to influence HC, CO, and NOX emissions simultaneously. We estimate twelve models, each of which consists of a system of three simulations equations that accounts for the endogenous relations between HC, CO and NOX emissions when estimating vehicle emissions simultaneously under each test drive-cycle. The major contribution of the thesis is to investigate the inter-correlations between vehicle emissions within a well controlled data set, and to test the hypothesis of vehicle emissions interdependencies. We find that HC, CO, and NOX are endogenously or jointly dependent in a system of simultaneous-equations. The results of the analysis demonstrate that there is strong evidence against the null hypothesis (H0) in favour of the alternative hypothesis (H1) that HC, CO, and NOX are statistically significantly interdependent. We find, for the thesis sample, that NOX and CO are negatively related, whereas HC and CO emissions are positively related, and HC and NOX are positively related. The results of the thesis yield new insights. They bridge a very important gap in the current knowledge on vehicle emissions. They advance not only our current knowledge that HC, CO, and NOX should be predicted jointly since they are produced jointly, but also acknowledge the appropriateness of using 3SLS regression for estimating vehicle emissions simultaneously. The thesis measures the responses of emissions to changes with respect to changes in the other emissions. We investigate emission responses to a one percent increase in an emission with respect to the other emissions. We find the relationship between CO and NOX is of special interest. After vehicles were tuned, we find those vehicles that exhibit a one percent increase in NOX exhibit simultaneously a 0.35 percent average decrease in CO. Similarly, we find that vehicles which exhibit a one percent increase in CO exhibit simultaneously a 0.22 percent average decrease in NOX. We find that the responses of emission to changes with respect to other emissions vary with various test drive-cycles. Nonetheless, a band of upper and lower limits contains these variations. After vehicle tuning, a one percent increase in HC is associated with an increase in NOX between 0.5 percent and 0.8 percent, and an increase in CO between 0.5 percent and one percent Also, for post-tuning vehicles, a one percent increase in CO is associated with an increase in HC between 0.4 percent and 0.9 percent, and a decrease in NOX between 0.07 percent and 0.32 percent. Moreover, a one percent increase in NOX is associated with increase in HC between 0.8 percent and 1.3 percent, and a decrease in CO between 0.02 percent and 0.7 percent. These measures of the responses are very important derivatives of the hypothesis investigated in the thesis. They estimate the impacts of traffic management schemes and vehicle operations that target reducing one emission, on the other non-targeted emissions. However, we must be cautious in extending the results of the thesis to the modern vehicles fleet. The modern fleet differs significantly in technology from the dataset that we use in this thesis. The dataset consists of measurements of HC, CO, and NOX emissions for 542 gasoline-fuelled passenger vehicles, under six test drive-cycles, before and after the vehicles were tuned. Nevertheless, the dataset has a number of limitations such as limited model year range, limited representations of modal operations, and limitations of the measurements of emissions based only on averages of test drive-cycles, in addition to the exclusion of high-emitter emission measurements from the dataset. The dataset has a limited model year range, i.e., between 1980 and 1991. We highlight the age of the dataset, and acknowledge that the present vehicle fleet varies technologically from the vehicles in the dataset used in this thesis. Furthermore, the dataset has a limited number of makes - Holden, Ford, Toyota, Nissan, and Mitsubishi. There are also a limited number of modal operations. The model operations presented in the dataset are cold start, warming-up, and hot stabilised driving conditions. However, enrichment episodes are not adequately presented in the test-drive cycles of the dataset. Moreover, the dataset does not take into account driving behaviour influences, and all measurements are cycle-based averages. The emission measurements of laboratory-based testings are aggregated over a test drive cycle, and the test drive-cycle represents an average trip over an average speed. The exclusion of the measurements of high emitting vehicles from the dataset introduces further limitations. Remote sensing studies show that 20 percent of the on-road vehicle fleet is responsible for 80 percent of HC and CO emissions. The findings of the thesis assist in the identification of the best strategies to mitigate the most adverse effects of air-pollution, such as the most severe pollution that have the most undesirable pollution effects. Also, they provide decision-makers with valuable information on how changes in the operation of the transport system influence the urban air-quality. Moreover, the thesis provides information on how vehicle emissions affect the chemistry of the atmosphere and degrade the urban air-quality.
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Books on the topic "VEHICAL POLLUTION"

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Cathy, Read, Green Malcolm, and Ashden Trust, eds. How vehicle pollution affects our health. London: Ashden Trust, 1994.

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S, Hamilton Ronald, and Harrison Roy M. 1948-, eds. Highway pollution. Amsterdam: Elseiver, 1991.

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Wiederkehr, Peter. Motor vehicle pollution: Reduction strategies beyond 2010. Paris: Organisation for Economic Co-operation and Development, 1995.

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Feng, Ye. Vehicle choices, miles driven and pollution policies. Cambridge, Mass: National Bureau of Economic Research, 2005.

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Feng, Ye. Vehicle choices, miles driven, and pollution policies. Cambridge, MA: National Bureau of Economic Research, 2005.

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Government/Industry Meeting & Exposition (1987 Washington, D.C.). Motor vehicle pollution control: A global perspective. Warrendale, PA: Society of Automotive Engineers, 1987.

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Motor vehicle air pollution controls: A global view. Warrendale, PA: Society of Automotive Engineers, 1985.

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Washington (State). Dept. of Ecology., ed. Motor vehicle emission inspections. Olympia, WA: Washington State Dept. of Ecology, 1992.

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

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Corrigan, Craig. California autonomous unmanned aerial vehicle air pollution profiling study. Sacramento, Calif.]: [California Energy Commission], 2009.

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Book chapters on the topic "VEHICAL POLLUTION"

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Hong, Huo, Yao Zhiliang, and He Kebin. "Motor Vehicle Development and Air Pollution Control." In Sustainable Automotive Energy System in China, 7–26. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36847-9_2.

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Kundu, Srimanta, and Ujjwal Maulik. "Vehicle Pollution Detection from Images Using Deep Learning." In Intelligence Enabled Research, 1–5. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2021-1_1.

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Abbes, Sana, Hichem Hassine, Maher Barkallah, Jamel Louati, and Mohamed Haddar. "Experimental Study of Vehicle Noise and Traffic Pollution." In Lecture Notes in Mechanical Engineering, 47–54. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-27146-6_6.

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Neamţu, Gheorghe, and Aurel Mihail Titu. "Level of Atmospheric Pollution from the Hybrid Vehicle." In Lecture Notes in Networks and Systems, 704–11. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05230-9_84.

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Goswami, Akshi, Parul Tomar, and Sapna Gambhir. "Design of a Vehicle Pollution Detection System Using IOT." In Computational Intelligence in Analytics and Information Systems, 53–63. New York: Apple Academic Press, 2023. http://dx.doi.org/10.1201/9781003332367-6.

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Makhija, Jigar, M. Nakkeeran, and V. Anantha Narayanan. "Detection of Vehicle Emissions Through Green IoT for Pollution Control." In Advances in Automation, Signal Processing, Instrumentation, and Control, 817–26. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8221-9_76.

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Holst, Jens-Christian, Katrin Müller, Florian Ansgar Jaeger, and Klaus Heidinger. "City Air Management: LCA-Based Decision Support Model to Improve Air Quality." In Towards a Sustainable Future - Life Cycle Management, 39–47. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77127-0_4.

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AbstractSiemens has developed an emission model of cities to understand the root cause and interactions to reduce air emissions. The City Air Management (CyAM) consists of monitoring, forecasting and simulation of measures. CyAM model aims to provide formation on air pollution reduction potential of short-term measures to take the right actions to minimize and avoid pollution peaks before they are likely to happen. The methodology uses a parameterized life cycle assessment model for transport emissions and calculates the local impact on air quality KPIs of individual transport measures at the specific hotspot. The system is able to forecast air quality and by how it is expected to exceed health or regulatory thresholds over the coming 5 days.In this paper, the LCA model and results from selected cities will be presented: Case studies show how a specific combination of technologies/measures will reduce the transport demand, enhance traffic flow or improve the efficiency of the vehicle fleet in the vicinity of the emission hotspot/monitoring station.
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Moutinho, Jennifer L., Donghai Liang, Rodney Weber, Jeremy Sarnat, and Armistead G. Russell. "Characterization of Traffic Emissions Exposure Metrics in the Dorm Room Inhalation to Vehicle Emissions (DRIVE) Study." In Air Pollution Modeling and its Application XXV, 523–28. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57645-9_82.

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Asha, K. H., K. Abhijna, Saniya Tabassum, and Shafiya Shaur. "An Intelligent Air Pollution Vehicle Tracker System Using Smoke Sensor and GPS." In Proceedings of the International Conference on Cognitive and Intelligent Computing, 399–410. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2350-0_39.

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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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Conference papers on the topic "VEHICAL POLLUTION"

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AL-RIFAI, JAWAD. "EFFECT OF ROAD GRADE, VEHICLE SPEED AND VEHICLE TYPE ON NO2 EMISSIONS ON URBAN ROADS IN JORDAN." In AIR POLLUTION 2018. Southampton UK: WIT Press, 2018. http://dx.doi.org/10.2495/air180501.

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Minoura, H., K. Takahashi, J. C. Chow, and J. G. Watson. "Atmosphere environment improvement in Tokyo by vehicle exhaust purification." In AIR POLLUTION 2009. Southampton, UK: WIT Press, 2009. http://dx.doi.org/10.2495/air090121.

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Chatterton, T. J., and J. H. Barnes. "A social and spatial analysis of emissions from private vehicle use in Great Britain." In AIR POLLUTION 2016. Southampton UK: WIT Press, 2016. http://dx.doi.org/10.2495/air160101.

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Jokubyniene, Vida, and Jurate Liebuviene. "Research in vehicle exhaust gas compliance with Euro standard." In 22nd International Scientific Conference Engineering for Rural Development. Latvia University of Life Sciences and Technologies, Faculty of Engineering, 2023. http://dx.doi.org/10.22616/erdev.2023.22.tf048.

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The actual problem of today is environmental pollution, and the main source of pollution is transportation. Air pollution from vehicles, especially in cities, has been a major problem worldwide for the past few decades. Last year we heard that diesel cars were the most polluting. Increasingly stringent emission requirements are being placed on these vehicles, so the pollution levels of newly produced vehicles are so low that they are equal to the emission standards of gasoline-powered vehicles. In recent years, global warming caused by carbon dioxide emissions has added another dimension to intense research efforts to develop more efficient engines and use low-carbon and renewable biofuels. Recently, very strict mass emission standards have been introduced, such as EURO 5-6. To measure the emissions of motor vehicles, unified cycles and test procedures have been developed, and harmonized by global test cycles, for all categories of vehicles to facilitate the transfer of information or technology exchange around the world. In Lithuania, the car fleet is 10-15 years old, so it is important to study the cars that drive on our roads. Cars of this age may not comply with the EURO 5-6 standard and therefore, for various reasons, pollute the city of Klaipeda with CO2 or NOx pollutants. It is interesting and relevant to see how many cars drive with indicators corresponding to the EURO standard. This study aims to find out the different values between actual and factory vehicle exhaust emissions through measurements. Vehicle emissions are measured using the SGA 400 exhaust gas analyzer. Comparing the test vehicles of different years of production according to the standards of EURO 1-6, it was noticed that the most polluting internal combustion engines run on gasoline, and their operating age reaches 15-18 years complying with the EURO 3-4 standards. The amount of emissions of diesel vehicles from the EURO 1-6 standard has decreased even up to 12.5 times.
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GHADIKOLAEI, MEISAM AHMADI, PAK KIN WONG, SHOU HAO CHEN, KAR WEI NG, and JIN CHENG XU. "EFFECT OF VEHICLE LIGHT ON THE NANOSTRUCTURE OF PARTICULATE MATTERS EMITTED FROM DIESEL AND GASOLINE VEHICLES." In AIR POLLUTION 2021. Southampton UK: WIT Press, 2021. http://dx.doi.org/10.2495/air210121.

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Hohl, C. M., G. Marotz, D. Lane, R. Carter, A. Ensz, S. Guerra, and J. Anderson. "A comparison of vehicle air pollution emissions between different geodemographic groups in the Kansas City metro area (USA) using remote sensing." In AIR POLLUTION 2006. Southampton, UK: WIT Press, 2006. http://dx.doi.org/10.2495/air06032.

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Pal, Sujata, Anindo Ghosh, and Vivek Sethi. "Vehicle Air Pollution Monitoring Using IoTs." In SenSys '18: The 16th ACM Conference on Embedded Networked Sensor Systems. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3274783.3275202.

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Bravo, Humberto A., Ricardo J. Torres, and Rodolfo E. Sosa. "Motor Vehicle Pollution Control in Mexico City." In International Fuels & Lubricants Meeting & Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1991. http://dx.doi.org/10.4271/912426.

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Becker, K. "Germany's Program Addressing Motor Vehicle Air Pollution." In SAE International Congress and Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1985. http://dx.doi.org/10.4271/850385.

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Tavakoli, Behtash, and Goodarz Ahmadi. "Modeling Wind Flow and Particulate Pollutant Dispersion Around a Realistic Model of a Building Using Large-Eddy Simulation." In ASME 2012 Fluids Engineering Division Summer Meeting collocated with the ASME 2012 Heat Transfer Summer Conference and the ASME 2012 10th International Conference on Nanochannels, Microchannels, and Minichannels. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/fedsm2012-72362.

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Urban air pollution has been of concern due to its adverse effect on human health. A major portion of urban air pollution is attributed to vehicle emissions. Center of Excellence (CoE) Building was built in Syracuse NY at the intersection of two major highways. The building is fully instrumented for assessing outdoor and indoor air pollutions. In this study the airflow and the dispersion of particulate air pollutants emitted from the highways surrounding the CoE building were analyzed. The wind flow around the model of the CoE building was first simulated using the RANS model. Comparison of the numerical simulations with the available PIV experimental data showed that the RANS turbulence model was not able to capture all features of the flow field due to the complexity of the building’s geometry. While the pressure field on the walls of the building model matched with those measured by the pressure taps, some aspects of the airflow velocity profile were not in agreement with the PIV data. The computational modeling of the wind flow around the building was then performed using the Large-Eddy Simulation (LES) approach. The mean velocity magnitude predicted by the LES showed good agreement with the experimental PIV measurements. The simulated flow field was used to predict the dispersion of the particulate pollutant around the building and the deposition fraction of particles on the walls of the building is studied.
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Reports on the topic "VEHICAL POLLUTION"

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Feng, Ye, Don Fullerton, and Li Gan. Vehicle Choices, Miles Driven, and Pollution Policies. Cambridge, MA: National Bureau of Economic Research, August 2005. http://dx.doi.org/10.3386/w11553.

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Holland, Stephen, Erin Mansur, Nicholas Muller, and Andrew Yates. Distributional Effects of Air Pollution from Electric Vehicle Adoption. Cambridge, MA: National Bureau of Economic Research, November 2016. http://dx.doi.org/10.3386/w22862.

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Jacobsen, Mark, James Sallee, Joseph Shapiro, and Arthur van Benthem. Regulating Untaxable Externalities: Are Vehicle Air Pollution Standards Effective and Efficient? Cambridge, MA: National Bureau of Economic Research, December 2022. http://dx.doi.org/10.3386/w30702.

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Sheldon, Tamara, Rubal Dua, and Omar Al Harbi. Are Electric Vehicle Subsidies Becoming More Impactful Over Time? King Abdullah Petroleum Studies and Research Center (KAPSARC), March 2021. http://dx.doi.org/10.30573/ks--2021-dp04.

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Various subsidies for plug-in electric vehicles (PEVs) have been implemented worldwide at the federal, state and regional levels. These subsidies aim to promote PEV adoption to help reduce both local air pollution and greenhouse gas emissions (Hardman 2019). In the United States (U.S.), the federal government began subsidizing PEVs in 2010.
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Muelaner, Jody. The Challenges of Vehicle Decarbonization. SAE International, April 2022. http://dx.doi.org/10.4271/epr2022se1.

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A narrow focus on electrification and elimination of tailpipe emissions is unlikely to achieve decarbonization objectives. Renewable power generation is unlikely to keep up with increased demand for electricity. A focus on tailpipe emissions ignores the significant particulate pollution that “zero emission” vehicles still cause. It is therefore vital that energy efficiency is improved. Active travel is the key to green economic growth, clean cities, and unlocking the energy saving potential of public transport. The Challenges of Vehicle Decarbonization reviews the urgent need to prioritize active travel infrastructure, create compelling mass-market cycling options, and switch to hybrid powertrains and catenary electrification for long-haul heavy trucks. The report also warns of the potential increase in miles travelled with the advent of personal automated vehicles as well as the pitfalls of fossil-fuel derived hydrogen power.
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Kwon, Jaymin, Yushin Ahn, and Steve Chung. Spatio-Temporal Analysis of Roadside Transportation-Related Air Quality (StarTraq 2021): A Characterization of Bike Trails and Highways in the Fresno/Clovis Area. Mineta Transportation Institute, November 2022. http://dx.doi.org/10.31979/mti.2022.2128.

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The San Joaquin Valley is identified as an area with a high level of particulate matter (PM) in the air, reaching above the federal and state clean air standards (EPA 2019). Many of the cities in the valley are classified as the most polluted cities in the United States for both particulate matter and ozone pollution (American Lung Association, 2021). To resolve this issue, alternative forms of transportation have been considered in transportation planning. In this study, active transportation mode air quality was monitored on selected Woodward Park and Old Clovis trails and urban bike lanes. Real-time aerosol monitors, and low-cost sensors were carried in a backpack on bicycles during the sampling. Researchers collected GPS data via a portable GPS technology called Tracksticks. Driving transportation mode air quality data was acquired from the roadways within the Fresno/Clovis area, spanning six sampling routes, and during intercity trips between Fresno, Berkeley, and Los Angeles, for a total of five sampling routes. ‘On-Road' (outside vehicle) monitors were installed on the roof of a vehicle while ‘In-Vehicle’ monitors were installed inside the vehicle for comparison with the particulate pollution levels in the two contrasting microenvironments. The results showed the following three main outcomes: (1) clear relationships exist among PMs of different sizes; (2) there were greater variations in air quality of bike trails and On-Road samples than backyard and In-Vehicle samples; (3) we observed significant differences in air quality inside and outside the vehicle while driving local and intercity roadways; and (4) the road trip to the Bay area revealed that San Joaquin Valley has increased ambient PM2.5 and black carbon (BC) levels compared to those in the Bay Area on every trip, regardless of the daily change of the air quality.
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Dua, Rubal, Scott Hardman, Yagyavalk Bhatt, and Dimpy Suneja. Barriers to and Opportunities for Light-Duty Vehicle Electrification in India: Insights From a Survey of Experts. King Abdullah Petroleum Studies and Research Center, October 2021. http://dx.doi.org/10.30573/ks--2021-dp14.

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According to the World Health Organization, India has the world’s worst air quality. Among other factors, vehicular pollution from the increasing stock of passenger vehicles has contributed to India’s deteriorating air quality. This increasing stock is also a factor in India becoming the third-highest oil-consuming and greenhouse gas (GHG)-emitting country worldwide.
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Kwon, Jaymin, Yushin Ahn, and Steve Chung. Spatio-Temporal Analysis of the Roadside Transportation Related Air Quality (STARTRAQ) and Neighborhood Characterization. Mineta Transportation Institute, August 2021. http://dx.doi.org/10.31979/mti.2021.2010.

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To promote active transportation modes (such as bike ride and walking), and to create safer communities for easier access to transit, it is essential to provide consolidated data-driven transportation information to the public. The relevant and timely information from data facilitates the improvement of decision-making processes for the establishment of public policy and urban planning for sustainable growth, and for promoting public health in the region. For the characterization of the spatial variation of transportation-emitted air pollution in the Fresno/Clovis neighborhood in California, various species of particulate matters emitted from traffic sources were measured using real-time monitors and GPS loggers at over 100 neighborhood walking routes within 58 census tracts from the previous research, Children’s Health to Air Pollution Study - San Joaquin Valley (CHAPS-SJV). Roadside air pollution data show that PM2.5, black carbon, and PAHs were significantly elevated in the neighborhood walking air samples compared to indoor air or the ambient monitoring station in the Central Fresno area due to the immediate source proximity. The simultaneous parallel measurements in two neighborhoods which are distinctively different areas (High diesel High poverty vs. Low diesel Low poverty) showed that the higher pollution levels were observed when more frequent vehicular activities were occurring around the neighborhoods. Elevated PM2.5 concentrations near the roadways were evident with a high volume of traffic and in regions with more unpaved areas. Neighborhood walking air samples were influenced by immediate roadway traffic conditions, such as encounters with diesel trucks, approaching in close proximity to freeways and/or busy roadways, passing cigarette smokers, and gardening activity. The elevated black carbon concentrations occur near the highway corridors and regions with high diesel traffic and high industry. This project provides consolidated data-driven transportation information to the public including: 1. Transportation-related particle pollution data 2. Spatial analyses of geocoded vehicle emissions 3. Neighborhood characterization for the built environment such as cities, buildings, roads, parks, walkways, etc.
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Reichmuth, David, Jessica Dunn, and Don Anair. Driving Cleaner: Electric Cars and Pickups Beat Gasoline on Lifetime Global Warming Emissions. Union of Concerned Scientists, July 2022. http://dx.doi.org/10.47923/2022.14657.

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Passenger cars and trucks are one of the largest sources of global warming emissions in the US. Electric vehicles (EVs) have the potential to dramatically reduce these emissions, especially when charged by low-carbon renewable electricity. New UCS analysis finds that over its lifetime—from manufacturing to operation to disposal—the average new battery electric vehicle produces more than 50 percent less global warming pollution than a comparable gasoline or diesel vehicle. Based on the most recently available data on power plant emissions and EV sales, driving the average EV in the US produces global warming emissions equal to a gasoline vehicle that gets 91 miles per gallon. To speed climate benefits and to encourage more drivers to choose electric vehicles, the report recommends policy changes and investments to bring even more renewable energy onto the grid, develop robust battery recycling programs to help reduce manufacturing impacts, and make EVs more accessible and affordable.
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Reichmuth, David, Matthew Beyer, Román Partida-López, and Ashley Gerrity. Cleaner Cars, Cleaner Air. Union of Concerned Scientists, June 2023. http://dx.doi.org/10.47923/2023.15101.

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Gasoline- and diesel-powered vehicles 20 years old or older expose Californians to significant harmful air pollution even though they represent a relatively small fraction of the passenger vehicles on the road. Moreover, the harm falls disproportionately on Latino and Black Californians, lower-income households, and communities the state designates as disadvantaged. To ensure that all Californians have access to cleaner transportation options, UCS and the Greenlining Institute recommend the following changes in state policies and programs: • Prioritize existing incentive programs, such as Clean Cars 4 All and the Clean Vehicle Assistance Program, toward priority populations owning old cars. • Target outreach and education to households in areas with high concentrations of old cars and limited uptake of zero-emissions vehicles. • Provide transportation solutions that go beyond private passenger vehicles. • Evaluate and adjust incentive programs based on changing conditions in the electric vehicle market
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