The Global Aircraft Financing market is oligopolistic in nature. The players in such a market have limited sources of financing for the delivery of the aircraft. Traditionally, cash, banks, and financial institutions have been key sources of financing in the market. However, in the wake of the financial turmoil, the market players have shifted their inclinations to capital markets and leasing companies. These sources are preferable because of the ease of liquidity provided by them in the market at reasonable interest rates.The Global Aircraft Financing market is expected to grow at a rapid pace during the period 2012-2016. The key geographies in this market are North America, Europe, APAC, and the Middle East. North America dominated the market, followed by Europe, the APAC region, and the Middle East. The Global Aircraft Financing market is expected to grow at a CAGR of 7.27 percent during the forecast period.

Commercial aircraft lighting systems are classified into exterior lighting systems, interior lighting systems, and emergency lighting systems. Landing lights are used in night landing operations by aircraft. Position lights are also known as navigation lights. These lights are placed on the wingtips (red on left wingtip, green on right wingtip) and on the tail of an aircraft. Anti-collision lights are used to illuminate the important parts of an aircraft such as the rudder (vertical tail of the aircraft), fuselage (body of the aircraft), and the wingtips of the aircraft. A red beacon is used on the rudder, while white strobes are used on the wingtips. Cockpit lights help pilots to view important switches and instruments. Cabin lights are used to illuminate the aircraft cabin. Emergency lights include interior and exterior lights that are battery powered. They are not directly connected to the main electrical system of an aircraft.

The Global Commercial Aircraft Landing Gears market is expected to grow at a steady rate during the period 2012–2016. The production of commercial aircraft landing gears has gained momentum in recent years and their demand is expected to increase in the next few years. For both jetliners and business jets, the APAC region dominated the market in 2012, followed by the EMEA region and then the Americas. The overall market is expected to grow at a CAGR of 5.15 percent during the forecast period.

The Global Commercial Airport Lighting System market is expected to witness moderate growth during the period 2012-2016. The APAC region dominated this market in 2012. In the APAC region, China and India were the major revenue contributors to the market. The APAC region was followed by Europe, North America, the Middle East, South America, and Africa. The UK was the leading country for lighting systems in Europe, while the US was the major revenue contributor in North America. The overall market is expected to grow at a CAGR of 6.42 percent during the forecast period.

Guidebook for Implementing Intelligent Transportation Systems Elements to Improve Airport Traveler Access Information provides descriptions, component details, and examples of how airport ground access information can be disseminated using various intelligent transportation systems (ITS) technologies. The guidebook contains tables to help airport operators determine the applicability of certain ITS strategies based on airport operational needs and airport size. The printed version of the report includes an interactive CD-ROM designed to help explore and evaluate the information needs of various airport traveler market segments and to identify ITS technologies that best meet the needs of the airport use.

In the wake of the attack of 9/11, the United States government recognized that the manner in which threats and information were conveyed was extremely inefficient, and in many cases completely nonfunctional due to disparate data failing to become accurately coalesced. This is especially true within the area of intermodal cargo shipping. Our research explores and seeks to inform the development of requirements for an information sharing system amongst harbor cargo operators engaged in intermodal shipping. Through interviews conducted of the Naval Postgraduate School's Multimodal Information Sharing Team's (MIST's) federal and local partners, careful examination of existing MIST findings, and research into best practices in information system design, we seek to provide an analysis of current needs and recommendations for improvements to communications about threats to intermodal shipping. Our qualitative findings, found through interviewing communication systems operators and users, indicate that the generalized lack of trust has created limits to communication that have manifested themselves in different electronic solutions that appear to have been developed without direct input from operators. We also find that there exist overland enterprises (e.g., trucking industry) that lack the motivation to provide funding for improved communications infrastructure. Future research efforts may include further identification of communication barriers (e.g., costs) to improve shared communications systems.

The optimization of the real-time operations associated with a bus system is formulated under a hybrid predictive control (HPC) approach. Both the objective function and the predictive model are essential for HPC design. For the sake of simplicity, in this work, the HPC framework is constructed for a single-loop bus system, although it could be extended to more complex systems according to a similar modeling framework. The system is represented in Fig. 4.1. The network is a one-way loop route with P equidistant stops and b buses running around the loop under the control of the dispatcher.

Our main focus here is on demonstrating properties of LBMPC controllers on the quadrotor testbed, with an implementation of LBMPC that runs in real-time on the quadrotor's on-board computer. Robustness to “mis-learning” is one aspect of LBMPC that we demonstrate in an experiment where we deliberately mis-tune a learning algorithm. We also demonstrate the improvement in performance possible when a well-tuned learning algorithm is used, show learning used to update the model in a physically meaningful way, and demonstrate the use of the LBMPC controller in an integrated robotic task requiring speed and precision: we design a controller that enables the quadrotor to catch balls.