Download or read book Urban Traffic Emissions Cost Estimation Based on an Integrated Modeling Approach written by Song Bai and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "According to Canadian Environmental Sustainability Indicators (CESI), in 2015, the transport sector was the 4th leading source of PM2.5 emissions in Canada. Vehicular emissions contribute significantly to air quality problems and public health issues in urban areas. Nevertheless, previous studies have shown that transport users do not perceive their travel-related emissions as out of pocket costs. In addition, travelers prefer emissions’ information in monetary values rather than in their own units (tons or grams of emissions). In this study, I estimate the health-related costs of transport emissions for Montreal residents. In addition, I examine the use of an air dispersion model (AERMOD) in estimating travel-related air pollution concentrations for four intersections in Bucaramanga, Columbia.In the second chapter, I estimate and quantify emissions generated on the Montreal road network. First, I transform the emissions rates estimated from the MOVES software into air pollution concentrations. Then, I convert the concentrations into health outcomes. Finally, I valuate these health outcomes in monetary terms. My results show that among three key emission types, NOx has the highest emission cost (up to $0.38/km), followed by PM2.5 ($0.31/km) and CO ($0.0074/km), during peak hours. In addition, the downtown and Plateau areas have the highest total emissions costs per km. In the second part of the thesis, I apply an air dispersion model (AERMOD) to simulate the air pollutant movements at four intersections in Bucaramanga, Colombia. My results show that the higher traffic volume, the higher the emission rates for both PM2.5 and Black Carbon, except for when heavy trucks’ percentage is high. The La Provenza intersection generates the highest PM2.5 rate (90g/h during peak hours and 16g/h during off-peak hours) and Black Carbon (15g/h during peak hours and 3g/h during off-peak hours). In addition, the air pollution concentrations are highest among the most congested links, in all studied intersections. Moreover, the PM2.5 and Black Carbon concentrations drop off substantially when moving away from the intersections’ centers, and then gradually decrease after 50 meters. In addition, compared to the real measurements (by the equipment installed in the intersections), the proposed set of models (MOVES+AERMOD) captures most of the general trends in PM2.5 and Black Carbon. However, the predicted concentrations are less than the observed measurements. This could be due to the fact that some factors are neglected, and those can affect the results, factors including emissions generated by people’s other daily activities (e.g., cooking), the relatively old vehicle fleet in Colombia (different from MOVES’s fleet), etc. I conducted a set of sensitivity analyses to understand the performance of the AERMOD dispersion model in estimating PM2.5 concentrations, by altering the input data. My results show that AERMOD is highly sensitive to wind conditions. The temperature was observed to have a slightly negative correlation with PM2.5 concentrations. My results could be used to raise public awareness regarding the health impacts of traffic-induced air pollution, and eventually could change travel behavior of urban travelers. Keywords: Urban traffic; health-related emissions cost; Montreal transport users; MOVES; Emission rates; Bucaramanga, Colombia intersections; Air pollution dispersion modeling, and air pollution concentration"--

Download or read book Emission estimation based on traffic models and measurements written by Nikolaos Tsanakas and published by Linköping University Electronic Press. This book was released on 2019-04-24 with total page 131 pages. Available in PDF, EPUB and Kindle. Book excerpt: Traffic congestion increases travel times, but also results in higher energy usage and vehicular emissions. To evaluate the impact of traffic emissions on environment and human health, the accurate estimation of their rates and location is required. Traffic emission models can be used for estimating emissions, providing emission factors in grams per vehicle and kilometre. Emission factors are defined for specific traffic situations, and traffic data is necessary in order to determine these traffic situations along a traffic network. The required traffic data, which consists of average speed and flow, can be obtained either from traffic models or sensor measurements. In large urban areas, the collection of cross-sectional data from stationary sensors is a costefficient method of deriving traffic data for emission modelling. However, the traditional approaches of extrapolating this data in time and space may not accurately capture the variations of the traffic variables when congestion is high, affecting the emission estimation. Static transportation planning models, commonly used for the evaluation of infrastructure investments and policy changes, constitute an alternative efficient method of estimating the traffic data. Nevertheless, their static nature may result in an inaccurate estimation of dynamic traffic variables, such as the location of congestion, having a direct impact on emission estimation. Congestion is strongly correlated with increased emission rates, and since emissions have location specific effects, the location of congestion becomes a crucial aspect. Therefore, the derivation of traffic data for emission modelling usually relies on the simplified, traditional approaches. The aim of this thesis is to identify, quantify and finally reduce the potential errors that these traditional approaches introduce in an emission estimation analysis. According to our main findings, traditional approaches may be sufficient for analysing pollutants with global effects such as CO2, or for large-scale emission modelling applications such as emission inventories. However, for more temporally and spatially sensitive applications, such as dispersion and exposure modelling, a more detailed approach is needed. In case of cross-sectional measurements, we suggest and evaluate the use of a more detailed, but computationally more expensive, data extrapolation approach. Additionally, considering the inabilities of static models, we propose and evaluate the post-processing of their results, by applying quasi-dynamic network loading.

Download or read book Estimation of Urban Scale Network wide Emissions Based on Fundamental Properties of the Network written by Rooholamin Shabihkhani and published by . This book was released on 2015 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the main criteria for evaluating traffic control systems, especially in large urban networks, is vehicular emissions, since it is the major contributor of urban air pollution. Decision makers in the cities want to minimize fuel consumption and emission of pollutants from traffic in addition to managing average speed and delay in the network. In order to optimize these parameters, a consistent estimation of the network-wide parameters is essential. Since existing macroscopic emission models based on average speed cannot provide accurate estimates for large-scale networks, there is a need for reliable emissions estimation based on the traffic features of a network. In the first part of this study, in order to have a more reliable, network-wide emissions estimation, the Integrated Traffic Emissions Model (ITEM) has been introduced to integrate macroscopic traffic parameters that have a major influence on emissions with microscopically calculated emission factors. This mesoscopic emission model takes three aggregated traffic parameters, which include: number of vehicle stops, duration of time spent cruising, and the time spend idling, all expressed per Vehicle Mile Traveled (VMT), and multiply them with corresponding emission factors to estimate overall emissions of the network. In the next step of this study, the macroscopic connection between three aggregated traffic parameters needed for ITEM and the average density on an idealized ring shape model has been investigated. The Macroscopic Fundamental Diagram (MFD) is used to understand the existence of a robust relationship between the average flow with the average number of vehicles circulating on the network. An analytical approach has been proposed to estimate the macroscopic traffic parameters based only on fundamental properties of the network. In the final step, the proposed model and analytical approach have been tested on a more realistic grid network with heterogeneous traffic states across links of the network caused by turning movements. The results show that there is not only a robust and reproducible relationship between the aggregated traffic parameters and resulting total emissions with the average density on the network, but also the comparison of the analytical estimates with detailed calculations shows that the errors are in an acceptable range, especially for not completely jammed traffic conditions.

Download or read book Traffic Emission Modelling for Robust Policy Design in Connected and Electric Transportation written by Ran Tu and published by . This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Traffic emissions such as greenhouse gases (GHGs, in CO2eq), nitrogen oxides (NOx), and traffic-related air pollution lead to global problems including climate change and public health issues. In order to mitigate the impacts of growing urban traffic on emissions and air pollution, travel demand management, driving operation control, and advanced technology initiatives have been implemented in many cities. The aim of this research is to realize robust transportation policy decisions with improved emission estimation approaches at local and regional levels. In the first module of the thesis, the emission factor (EF, in grams of traffic emissions per unit distance) within one traffic condition, which is commonly defined as a single value, is expanded to a distribution. A regional emission distribution is therefore established using the EF distribution, enhancing the robustness of policy analysis. Meanwhile, the identification of the EF variation leads to the development of a machine-learning based emission estimation approach, CLustEr-based Validated Emission Re-calculation (CLEVER). The CLEVER approach can accurately estimate regional traffic emissions without heavy data collection burden through refined traffic condition categories and representative EFs using traffic data of multiple resolutions. In the second module, several traffic emission control strategies are tested from perspectives of emissions, air pollution, and energy consumption. First, a travel demand management targeting on high-emitting trips is tested. Compared to a short-distance trip management, the proposed strategy is more effective on reducing GHG emissions and improving traffic conditions. Second, a travel-time minimized routing algorithm with connected automated vehicles is applied in an urban road network and the application causes potential increases of near-road NO2 concentrations. Lastly, electric vehicle charging schedules are optimized to minimize GHG emissions from electricity generation. The optimized plan demonstrates high potentials for reducing GHG emissions. However, trade-offs between emission reductions and charging facility costs are identified by comparing the optimized plan with non-optimized plans. This research achieves a reliable regional traffic emission estimation with much less data requirement. Based on that, innovative control strategies proposed in this research and their comprehensive evaluation process can contribute to a robust transportation policy decision.

Download or read book URBAN TRAFFIC COMPLEXITY AND SOLUTIONS written by Dr. Mahesh Babu Awari and published by Lulu.com. This book was released on with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Modelling of Urban Transport written by and published by . This book was released on 1996 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book An Integrated Approach to Modelling the Impact on Urban Travel Behaviour of Strategies to Reduce Enhanced Greenhouse Gas Emissions written by David A. Hensher and published by . This book was released on 1995 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Traffic Related Air Pollution written by Haneen Khreis and published by Elsevier. This book was released on 2020-08-20 with total page 650 pages. Available in PDF, EPUB and Kindle. Book excerpt: Traffic-Related Air Pollution synthesizes and maps TRAP and its impact on human health at the individual and population level. The book analyzes mitigating standards and regulations with a focus on cities. It provides the methods and tools for assessing and quantifying the associated road traffic emissions, air pollution, exposure and population-based health impacts, while also illuminating the mechanisms underlying health impacts through clinical and toxicological research. Real-world implications are set alongside policy options, emerging technologies and best practices. Finally, the book recommends ways to influence discourse and policy to better account for the health impacts of TRAP and its societal costs. Overviews existing and emerging tools to assess TRAP’s public health impacts Examines TRAP’s health effects at the population level Explores the latest technologies and policies--alongside their potential effectiveness and adverse consequences--for mitigating TRAP Guides on how methods and tools can leverage teaching, practice and policymaking to ameliorate TRAP and its effects

Download or read book Network Infrastructure and the Urban Environment written by Lars Lundqvist and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is the result of an international collaboration, which started with a conference at Smadalaro Gfrrd in Sweden. The workshop was supported by the National Science Foundation of the USA (INT-9215114) and by the Swedish National Road Administration, the Swedish Council for Building Research, the Swedish Transport and Communications Research Board and the Swedish Council for Planning and Coordination of Research. This support is gratefully acknow ledged. The collaboration started as a bilateral u.S.-Swedish endeavour but was soon widened to other scholars in Europe, Asia, Australia and South-America. Network Infrastructure and the Urban Environment is a policy area of growing importance. Sustainable cities and sustainable transport systems are necessary for attaining a sustainable development. The research and policy field, represented in this volume, comprises a number of challenging contrasts: - the contrast between infrastructure investments, mobility and environmental sustainability; - the contrast between policy contexts, modelling traditions and available decision support systems in various parts of the world; - the contrast between available best practice methods and the majority of models applied in planning; the contrast between static models of cross-sectionary equilibria and dynamic models of disequilibrium adjustments; and the contrast between state-of-the-art operationalland-use/transport models and new demands for land-use/transportlenvironment models due to changing policy contexts. Bridging some of these gaps constitutes important research tasks, that are discussed in the twenty-two chapters of this book. A number of emerging research directions are identified in the introduction and summary chapter.

Download or read book Urban Transport Systems written by G. Passerini and published by WIT Press. This book was released on 2020-04-02 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: Better urban transport systems are needed to achieve a healthier environment and as a result, a wide range of research has originated from many different countries. These studies highlight the importance of innovative systems, new approaches and original ideas, which need to be thoroughly tested and critically evaluated before they can be implemented in practice. To address the need to solve important pollution problems the papers included in this book focus on the relationship with urban transport. There is also a growing need for integration with telecommunications systems and IT applications in order to improve safety, security and efficiency. The variety of topics covered in this volume reflects the complex interaction of the urban transport systems with their environment and the need to establish integrated strategies. The aim is to arrive at optimal socio-economic solutions while reducing the negative environmental impacts of current transportation systems.

Download or read book Integrated Modeling of Air Quality and Health Impacts of a Freight Transportation Corridor written by Gunwoo Lee and published by . This book was released on 2011 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to environmental concerns, transportation studies have extensively evaluated emission impacts associated with traffic operational strategies and transportation policies. However, the impact studies mainly relied on emission impacts found using demand forecasting models. Such planning models cannot capture individual vehicles. interactions (i.e., lane changes or stop-and-go movements) or detailed traffic operations such as with traffic signals. These limitations often lead to under-estimated emissions while evaluating several policies. Even though many studies utilized microscopic traffic models to better estimate emissions, the studies have not considered further steps such as air quality estimation and health impact studies. This research develops an integrated framework for evaluating air quality and health impacts of transportation corridors using a microscopic traffic model, a micro-scale emissions model, a non-steady state dispersion model, and a health impact model. The main advantage of this approach is to better estimate air quality and health impacts from vehicle interactions and detailed traffic management strategies. As a case study, we evaluate air quality and health impacts of several scenarios associated with major transportation corridors accessing the San Pedro Bay Ports (SPBP) complex, California. The study context consists of two 20 miles-long major freight freeway corridors and nearby arterials, as well as line-haul rail along the Alameda corridor and several rail yards associated with the SPBP complex. For the scenarios, we consider a clean truck program, cleaner locomotives, and modal shifts compared to the 2005 baseline. All scenarios performed with the integrated framework have provided larger improvements of air quality and health impacts associated with transportation corridors than conventional frameworks using transportation planning models. However, the difference in air quality and health impacts from modal shift scenarios between clean trucks and locomotives are minor. As exploratory research, pollution response surface models are developed. The main objective of the pollution response surface model is to avoid the high computational cost of the microscopic traffic model, which makes it difficult to estimate traffic for multiple days needed for evaluating emissions and health impacts over longer periods such a climate season. A conceptual framework for estimating pollution response surface models is proposed. Using a hypothetical network, response surfaces of NOX and PM are estimated.

Download or read book Modelling Urban Vehicle Emissions written by M. Khare and published by Computational Mechanics. This book was released on 2001 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Vehicular air pollution poses the main threat to urban air quality and is therefore one of the major components of urban air quality studies. Air quality models can play an effective role in the efficient management of such pollution.

Download or read book Urban Transportation Modeling and Planning written by Peter R. Stopher and published by . This book was released on 1975 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Real time Vehicle Emission Estimation Using Traffic Data written by Anjie Liu and published by . This book was released on 2019 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: The current state of climate change should be addressed by all sectors that contribute to it. One of the major contributors is the transportation sector, which generates a quarter of greenhouse gas emissions in North America. Most of these transportation related emissions are from road vehicles; as result, how to manage and control traffic or vehicular emissions is therefore becoming a major concern for the governments, the public and the transportation authorities. One of the key requirements to emission management and control is the ability to quantify the magnitude of emissions by traffic of an existing or future network under specific road plans, designs and traffic management schemes. Unfortunately, vehicular traffic emissions are difficult to quantify or predict, which has led a significant number of efforts over the past decades to address this challenge. Three general methods have been proposed in literature. The first method is for determining the traffic emissions of an existing road network with the idea of measuring the tail-pipe emissions of individual vehicles directly. This approach, while most accurate, is costly and difficult to scale as it would require all vehicles being equipped with tail-pipe emission sensors. The second approach is applying ambient pollutant sensors to measure the emissions generated by the traffic near the sensors. This method is only approximate as the vehicle-generated emissions can easily be confounded by other nearby emitters and weather and environmental conditions. Note that both of these methods are measurement-based and can only be used to evaluate the existing conditions (e.g., after a traffic project is implemented), which means that it cannot be used for evaluating alternative transportation projects at the planning stage. The last method is model-based with the idea of developing models that can be used to estimate traffic emissions. The emission models in this method link the amount of emissions being generated by a group of vehicles to their operations details as well as other influencing factors such as weather, fuel and road geometry. This last method is the most scalable, both spatially and temporally, and also most flexible as it can meet the needs of both monitoring (using field data) and prediction. Typically, traffic emissions are modelled on a macroscopic scale based on the distance travelled by vehicles and their average speeds. However, for traffic management applications, a model of higher granularity would be preferred so that impacts of different traffic control schemes can be captured. Furthermore, recent advances in vehicle detection technology has significantly increased the spatiotemporal resolutions of traffic data. For example, video-based vehicle detection can provide more details about vehicle movements and vehicle types than previous methods like inductive loop detection. Using such detection data, the vehicle movements, referred to as trajectories, can be determined on a second-by-second basis. These vehicle trajectories can then be used to estimate the emissions produced by the vehicles. In this research, we have proposed a new approach that can be used to estimate traffic generated emissions in real time using high resolution traffic data. The essential component of the proposed emission estimation method is the process to reconstruct vehicle trajectories based on available data and some assumptions on the expected vehicle motions including cruising, acceleration and deceleration, and car-following. The reconstructed trajectories containing instantaneous speed and acceleration data are then used to estimate emissions using the MOVES emission simulator. Furthermore, a simplified rate-based module was developed to replace the MOVES software for direct emission calculation, leading to significant improvement in the computational efficiency of the proposed method. The proposed method was tested in a simulated environment using the well-known traffic simulator - Vissim. In the Vissim model, the traffic activities, signal timing, and vehicle detection were simulated and both the original vehicle trajectories and detection data recorded. To evaluate the proposed method, two sets of emission estimates are compared: the "ground truth" set of estimates comes from the originally simulated vehicle trajectories, and the set from trajectories reconstructed using the detection data. Results show that the performance of the proposed method depends on many factors, such as traffic volumes, the placement of detectors, and which greenhouse gas is being estimated. Sensitivity analyses were performed to see whether the proposed method is sufficiently sensitive to the impacts of traffic control schemes. The results from the sensitivity analyses indicate that the proposed method can capture impacts of signal timing changes and signal coordination but is insufficiently sensitive to speed limit changes. Further research is recommended to validate the proposed method using field studies. Another recommendation, which falls outside of this area of research, would be to investigate the feasibility of equipping vehicles with devices that can record their instantaneous fuel consumption and location data. With this information, traffic controllers would be better informed for emission estimation than they would be with only detection data.

Download or read book Small Area Estimation and Microsimulation Modeling written by Azizur Rahman and published by CRC Press. This book was released on 2016-11-30 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Small Area Estimation and Microsimulation Modeling is the first practical handbook that comprehensively presents modern statistical SAE methods in the framework of ultramodern spatial microsimulation modeling while providing the novel approach of creating synthetic spatial microdata. Along with describing the necessary theories and their advantages and limitations, the authors illustrate the practical application of the techniques to a large number of substantive problems, including how to build up models, organize and link data, create synthetic microdata, conduct analyses, yield informative tables and graphs, and evaluate how the findings effectively support the decision making processes in government and non-government organizations. Features Covers both theoretical and applied aspects for real-world comparative research and regional statistics production Thoroughly explains how microsimulation modeling technology can be constructed using available datasets for reliable small area statistics Provides SAS codes that allow readers to utilize these latest technologies in their own work. This book is designed for advanced graduate students, academics, professionals and applied practitioners who are generally interested in small area estimation and/or microsimulation modeling and dealing with vital issues in social and behavioural sciences, applied economics and policy analysis, government and/or social statistics, health sciences, business, psychology, environmental and agriculture modeling, computational statistics and data simulation, spatial statistics, transport and urban planning, and geospatial modeling. Dr Azizur Rahman is a Senior Lecturer in Statistics and convenor of the Graduate Program in Applied Statistics at the Charles Sturt University, and an Adjunct Associate Professor of Public Health and Biostatistics at the University of Canberra. His research encompasses small area estimation, applied economics, microsimulation modeling, Bayesian inference and public health. He has more than 60 scholarly publications including two books. Dr. Rahman’s research is funded by the Australian Federal and State Governments, and he serves on a range of editorial boards including the International Journal of Microsimulation (IJM). Professor Ann Harding, AO is an Emeritus Professor of Applied Economics and Social Policy at the National Centre for Social and Economic Modelling (NATSEM) of the University of Canberra. She was the founder and inaugural Director of this world class Research Centre for more than sixteen years, and also a co-founder of the International Microsimulation Association (IMA) and served as the inaugural elected president of IMA from 2004 to 2011. She is a fellow of the Academy of the Social Sciences in Australia. She has more than 300 publications including several books in microsimulation modeling.

Download or read book Modeling Transportation Emissions Using Radar Based Vehicle Detection Data written by Lang Yu and published by . This book was released on 2016 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation introduces a new and novel methodology for estimating vehicle emissions at signalized intersections. Radar based vehicle detection systems, when placed at intersection approaches, is able to track vehicle operational characteristics at very high frequency, thus provides an ideal data source for emission estimation. By combining radar based vehicle detection data and MOVES project level analysis operating mode distribution approach, a real-time emission estimation system for signalized intersections is proposed. The Emission Computation Tool for Radar Data is developed to facilitate the automatic and continuous computation of operating mode distribution and emissions. The emission rates computed can also be integrated with existing air dispersion models in order to be used for air quality conformity and hot spot analysis. A case study is conducted to test the feasibility and validity of the proposed real-time emission estimation system. The results showed that the data collected should be used for computing a variety of parameters, including traffic volume, average speed, operating mode distribution, total emissions and emission rates for various pollutants. With emission rates, existing pollutant dispersion models such as AERMOD are applied, yielding pollutant concentrations at various locations, providing additional functionalities to the system. Evaluation results showed that the traffic volume and emission rates computed matches closely with AADT data and EPA's emission standards. Finally, an operating mode based macroscopic emission model is developed by using both empirical data from the case study as well as incorporating existing traffic flow dynamics model. This predictive model is based on estimating total time spent in each operating mode directly from traffic demand and other variables. Total time idling is modeled using kinematic wave theory and queuing theory, while others are modeled using empirical data. The validation results showed that the model is able to achieve a high degree of accuracy, within approximately 10 percent of emission results computed using the radar data. In conclusion, both the proposed real-time emission estimation system at signalized intersections and the emission model developed showed to yield highly accurate and detailed results, and are applicable in real world intersection locations.

Download or read book Social Costs and Sustainable Mobility written by Klaus Rennings and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fair and efficient pricing has become increasingly important in international environmental and transport policy. Thus the valuation and internalization of social costs is now a crucial element within strategies towards sustainable mobility. The book provides methods and results from major European and American studies evaluating both social costs of transport and first experiences with their internalization in different contexts: infrastructure planning, urban road pricing and highway tolling. Additionally, complementary non-monetary instruments for a transition towards sustainable mobility are presented and discussed.