Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 61 for “"vehicle emissions"”.
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Real world heavy-duty vehicle emissions modeling
Heavy-duty vehicle emissions represent a significant portion of the mobile source emissions inventory. Accurate estimation of their contribution is essential as on-highway and non-road heavy-duty diesel emissions account for at least one third of the oxides of nitrogen (NOx) in the inventory. West …
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Inventory and prediction of heavy-duty diesel vehicle emissions
A vehicle emissions inventory is an account of emissions produced by all vehicles in an area. Many different factors can affect the emissions and the measurement of the emissions that are used to create an emissions inventory. These factors for heavy-duty diesel vehicles have been addressed and …
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Physics-Based Artificial Intelligence Models for Vehicle Emissions Prediction
… information including real-world measurements of vehicle powertrain parameters. These data can be used to gain a richer data-driven understanding of complex physical phenomena like emissions formation during combustion. In this thesis, a physics-based artificial intelligence framework is developed …
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Modeling Light Duty Vehicle Emissions Based on Instantaneous Speed and Acceleration Levels
… dissertation develops a framework for modeling vehicle emissions microscopically. In addition, the framework is utilized to develop the VT-Micro model using a number of data sources. Key input variables to the VT-Micro model include instantaneous vehicle speed and acceleration levels. Estimating …
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Modeling and simulation of vehicle emissions for the reduction of road traffic pollution
… citizens travel there daily for various reasons. Emissions released by transport fleets have an exhaust (tailpipe) and a non-exhaust (brake wears ) origin. Both exhaust and non-exhaust airborne particles can have destructive effects on the human cardiovascular and respiratory systems and even lead …
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Effects of artificial neural network speed-based inputs on heavy-duty vehicle emissions prediction
… California on thirty-four heavy-duty diesel vehicles using the West Virginia University Transportable Heavy-Duty Vehicle Emissions Testing Laboratories to gather emissions data of these vehicles. The data obtained from six vehicles in the 1985--2001 model year and 33,000--80,000 lb weight …
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Utilizing High Resolution Data to Identify Minimum Vehicle Emissions Cases Considering Platoons and EVP
… and accommodation algorithm that minimizes vehicle emissions. The algorithm was developed and implemented in the AnyLogic framework, and was validated by comparing it to the results of prior research. A four-module flowchart was developed to analyze the traffic data and to identify platoons. …
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Understanding and quantifying motor vehicle emissions with vehicle specific power and TILDAS remote sensing
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 …
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Shaping the terms of competition : environmental regulation and corporate strategies to reduce diesel vehicle emissions
… regulatory strategies are pursued in the diesel vehicle and fuel industry. Growing public concern about the health effects of diesel exhaust has led countries to implement several cycles of increasingly stringent emission and fuel regulations over the past two decades.
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A new approach to estimate congestion impacts for highway evaluation: effects on fuel consumption and vehicle emissions
… is estimated, the impact on fuel consumption and vehicle emissions can then be determined. The framework consists of a series of discrete sub-models that firstly estimate the base (steady-speed) fuel consumption and then the acceleration noise level value. From these data, the additional fuel …
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Using Mobile Monitoring and Vehicle Emissions to Develop and Validate Machine Learning Empirical Models of Particulate Air Pollution
… of adding more spatiotemporal variables (e.g., emissions) to machine learning models to improve model performance is assessed in the short-term models. Incorporating spatial and temporal autocorrelation is intended to develop more sophisticated validation approaches for identifying ML …
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The investigation of potentially toxic elements (PTE) and particulates absorbed on particle filters exposed to vehicle emissions at road level
… city. Cabin particle filters are used in motor vehicles to extract toxins from air coming through the ventilation system. A systematic study of pollutants captured over fixed mileages on cabin filters has not previously been reported in literature, despite being an obvious and widespread sample …
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Air Quality in Mexico City: Spatial and Temporal Variations of Particulate Polycyclic Aromatic Hydrocarbons and Source Apportionment of Gasoline-Versus-Diesel Vehicle Emissions
… have separated gasoline- versus diesel-powered vehicle emissions under a variety of on-road driving conditions. The second part of this thesis focuses on distinguishing between the two types of engine emissions within the MCMA using positive matrix factorization (PMF) receptor modeling. The …
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Realtime Vehicle Route Optimisation via DQN for Sustainable and Resilient Urban Transportation Network
… However, it is still a challenging task for the vehicles to interact with the complex city environment in a real time manner. In this thesis, we propose a deep reinforcement learning (DRL) method to build a real-time intelligent vehicle navigation system for sustainable and resilient urban …
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Investigating Variation in Launch Vehicle Atmospheric Impact by Launch Latitude and Season
Launch vehicles are a significant anthropogenic atmospheric emissions vector, and in the past have been shown to cause up to 50% as much global heating as aviation CO2. Despite this high magnitude of emissions impact, few studies quantify the variation in launch vehicle emissions beyond exploring …
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Historical anthropogenic emissions of carbon monoxide, 1850 - 2000
… to build the historical emission inventory. CO emissions increased almost linearly until 1950, totaling about 84 Tg in 1850, 128 Tg in 1900, and 209 Tg in 1950. Residential biofuel combustion has been the dominant source during that period. After 1950, there is a rapid increase of CO emissions …
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Democratizing mobility and accessibility in American communities : transportation demand management and universal design approaches
… against several vulnerable groups. Motor vehicle emissions contributes greatly to climate change and even with a hypothetical shift to electric vehicles, the production of such vehicles still takes an immense toll on the environment, presents increased risk for crashes, and negative …
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Modeling and comparison of transient emissions behavior of hybrid and conventional vehicles
Due to increasing emissions and fuel economy legislation, both in the United States and globally, the search for alternative propulsion systems is escalating. Electric, hybrid gas-electric, fuel cell, and other possible automotive propulsion technologies are continually being evaluated for their …
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Metals Distribution in Roadside Soils and Himalayan Blackberries in Victoria, BC, Canada
… zones. The findings highlight the impact of vehicle emissions on metal contamination and raise concerns about the risks of consuming berries from such environments. These contaminants threaten ecosystems and human health, necessitating remediation efforts. Recommended actions include targeted …
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