Zugl.: Dresden, Techn. Univ., Diss., 2009

Thesis (Ph. D.)--University of Tennessee, Knoxville, 2002. / Title from title page screen (viewed Sept. 25, 2002). Thesis advisor: Gregory D. Reed. Document formatted into pages (xx, 325 p. : ill. (some col.), map). Vita. Includes bibliographical references (p. 173-178).

Reducing fuel consumption and greenhouse gas emissions is becoming increasingly important in the United States, and new legislation can be expected in the near future that will affect trucks either directly or indirectly. This work is a qualitative examination of operational strategies for reducing fuel consumption from freight trucking, and also compares them with vehicular strategies. A focus is placed on who implements, benefits from, and pays for each strategy, and what type of trucking each strategy is applicable to. / text

published_or_final_version / abstract / toc / Environmental Management / Master / Master of Science in Environmental Management

Aircraft engine emissions from civil aviation cause several adverse effects to the atmospheric environment. These emissions are among the known major contributors to changes in atmospheric chemistry and global climate change. One way in which the international community has responded to the problem has been the adoption of several international treaties, generally dealing with subjects such as protection of the ozone layer, long-range transboundary air pollution, and global climate change. / The other way in which the problem has been dealt with is the adoption of an industry-specific international regulatory regime for controlling aircraft engine emissions from civil aviation. In this regard, the international community has, through the law making functions of the International Civil Aviation Organization (ICAO), adopted the mechanism of Standards and Recommended Practices (SARPs) to establish a regulatory framework aimed at reducing environmentally harmful engine emissions. These SARPs, though international in nature, are to be implemented at the national level by the member states of ICAO. / This thesis provides a review of current understanding of the effects of aircraft engine emissions on the atmospheric environment and an analysis of the international responses to the problem. In particular, it focuses on the industry-specific regime adopted by ICAO and considers whether it is an effective tool for achieving a balance between the safe and orderly development of civil aviation and the human environment.

This research develops an optimization model for eco-driving at signalized intersection. In urban areas, signalized intersections are the “hot spots” of air emissions and have significant negative environmental and health impacts. Eco-driving is a strategy which aims to reduce exclusive fuel consumption and emissions by modifying or optimizing drivers’ behaviors. With the help of vehicle-to-vehicle (V2V) communication and vehicle-to-infrastructure communication (V2I), eco-driving could utilize the signal phase and the queue-discharging time information to optimize the speed trajectories for the vehicles approaching an intersection in order to reduce fuel consumption and emissions. A few research studies have been conducted on the development of algorithms that utilize traffic signal information to reduce fuel consumption and emissions. Hence, the goal of this research is to develop an optimization model to determine the optimal eco-driving trajectory (the speed profile) at a signalized intersection, which aims to achieve the minimization of a linear combination of emissions and travel time. Then enumeration method, simplex optimization and genetic algorithm are investigated to determine a practicable and efficient method to solve the proposed optimization problem. As various scenarios of distance from the vehicle to the intersection, queue discharging time and weights of emission/travel time will lead to different optimal trajectories and different emissions and travel times. A sensitivity study is conducted to analyze and compare the performance of the optimal solution in various scenarios of different such parameters. In addition, a baseline study is conducted to investigate the benefits of eco-driving when drivers only decelerate in advance but not apply the recommended speed trajectory. The results of case study show that genetic algorithm is a preferred method to solve the proposed optimization problem; Eco-driving could achieve satisfied reduction in emissions without significantly increasing travel time and emissions is more sensitive to various scenarios than travel time; Eco-driving still could achieve reduction in emissions as long as the drivers decelerate earlier even though the they would not apply the recommended speed trajectory under certain conditions.

No description available.

No description available.

No description available.

No description available.