System and method for preventing vehicle accidents in which GPS ranging signals relating to a host vehicle's position on a roadway on a surface of the earth are received on a first communication link from a network of satellites and DGPS auxiliary range correction signals for correcting propagation delay errors in the GPS ranging signals are received on a second communication link from a station or satellite. The host vehicle's position on a roadway on a surface of the earth is determined from the GPS, DGPS, and accurate map database signals with centimeter accuracy and communicated to other vehicles. The host vehicle receives position information from other vehicles and determines whether any other vehicle from which position information is received represents a collision threat to the host vehicle based on the position of the other vehicle relative to the roadway and the host vehicle. If so, a warning or vehicle control signal response to control the host vehicle's motion is generated to prevent a collision with the other vehicle.

Accident avoidance system

System and method for conveying data between vehicles includes a data generating system arranged on a first vehicle to obtain or generate information about the first vehicle or conditions around the first vehicle, a first communications system arranged on the first vehicle and coupled to the data generating system for communicating with a wireless Internet service provider (ISP) and a second communications system arranged on a second vehicle and communicating with an ISP. The first communications system enables the information obtained or generated by the data generating system to be transmitted via the Internet to the second communications system. The first and second communications systems can communicate with the same ISP or different ISPs linked to one another.

Intra-vehicle information conveyance system and method

airport systems planning design and management is available in our digital library an online access to it is set as public so you can get it instantly. Our book servers spans in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Kindly say, the airport systems planning design and management is universally compatible with any devices to read.

Airport Systems Planning Design And Management

The surveillance system provides a means to augment Automatic Dependent Surveillance-Broadcast (ADS-B) with “look alike ADS-B” or “pseudo ADS-B” surveillance transmissions for aircraft which may not be ADS-B equipped. The system uses ground based surveillance to determine the position of aircraft not equipped with ADS-B, then broadcasts the identification/positional information over the ADS-B data link. ADS-B equipped aircraft broadcast their own position over the ADS-B data link. The system enables aircraft equipped with ADS-B and Cockpit Display of Traffic Information (CDTI) to obtain surveillance information on all aircraft whether or not the proximate aircraft are equipped with ADS-B.

Correlation of flight track data with other data sources

Providing separation management of vehicles is disclosed. In an embodiment, a separation management system includes a data input module for receiving and filtering aircraft information and airspace information related to a control aircraft and a relevant aircraft, the aircraft information enabling the calculation of a trajectory window for each aircraft. A conflict monitoring module may be included in the system for monitoring the trajectory window for each aircraft with respect to time and probabilistic location, the conflict monitoring module determining when a trajectory overlap occurs resulting from the intersection of the trajectory window for the control aircraft and the relevant aircraft. In addition, the system may include a separation routing module for rerouting the control aircraft when a trajectory overlap for the control aircraft is detected by the conflict monitoring module.

Automated separation manager

A smart airport automation system includes a subsystem that inputs weather and airport configuration data to determine an active runway in use and an airport state Another subsystem inputs aircraft position and velocity data from available surveillance sources, known flight-intent information, and past aircraft trajectories to project future aircraft unconstrained trajectories A third subsystem uses the projected trajectories and aircraft intent to determine desired landing and takeoff sequences, and desired adjacent aircraft spacing A fourth subsystem uses such information to predict potential aircraft conflicts, such as a loss of acceptable separation between adjacent aircraft A fifth subsystem packages the weather, airport configuration, aircraft state, desired landing/takeoff sequence, and potential conflict detection into a verbal advisory message that is broadcast on a local common radio frequency A sixth subsystem uses the projected trajectory information to control the runway and taxiway lighting system

Smart airport automation system

An example method includes receiving, by a computing device comprising one or more processors, from a plurality of sources, data associated with an aircraft that is in an operation, wherein the plurality of sources comprises one or more sources of historical data and one or more sources of real-time data that is generated while the aircraft is in the operation. The example method further includes performing, by the computing device, a risk analysis of the data using a Bayesian network model that models risks associated with the aircraft in the operation. The example method further includes generating, by the computing device, an output based at least in part on the risk analysis.

Automated real-time clearance analysis for air traffic

Terminal Model Enhancement is an advanced modeling capability for simulating terminal area airport and airspace traffic operations. But, more importantly, TME is a platform for testing advanced air traffic management concepts using plug-and-play modeling. TME augments the existing airport surface and terminal airspace modeling capabilities of NASA's Airspace Concept Evaluation System, an agent-based fast-time National Airspace System simulation. TME supports detailed analysis of concepts addressing future surface and terminal airspace operations. TME models 4-dimension trajectories and provides a system of pluggable components upon which replacement components can be developed to model alternative operational concepts. TME Airport ATC and TFM agents generate surface route plans, move aircraft through a vertex-edge graph, implementing pilot self-separation and controller conflict resolution, gridlock avoidance and gate utilization models. TME TRACON ATC, TFM and Flight agents apply advanced sequencing and spacing modeling to determine conflict-resolved airspace route plans, assign landing times and use 4D trajectory modeling to fly aircraft along route plans. TME introduces a unique runway operations model that integrates TRACON landing management with Airport ATC takeoff and runway taxi crossing management.

ACES terminal model enhancement

This paper presents the implementation and application of a prototype What-if Analysis decision support tool for airport traffic planning. The What-if Analysis tool is used to predict airport traffic performance during a future time horizon with forecast operating conditions and to design Departure Management Programs to mitigate the negative impacts of predicted demand/capacity imbalances. Application scenarios include dynamic weather imposing ground hold and/or Miles-In-Trial restrictions on airport departures. We demonstrate the use of the prototype for a historical traffic and weather scenario at Charlotte Douglas International Airport (CLT). Future work includes enhancing the capabilities and user interfaces of the tool, and researching methods to predict future traffic management initiatives from forecast weather and traffic conditions.

A what-if analysis tool for planning airport traffic

The NASA sponsored Hyper-Spectral Communications and Networking for Air Traffic Management (ATM) (HSCNA) project is conducting research to improve the operational efficiency of the future National Airspace System (NAS) through diverse and secure multi-band, multi-mode, and millimeter-wave (mmWave) wireless links. Worldwide growth of air transportation and the coming of unmanned aircraft systems (UAS) will increase air traffic density and complexity. Safe coordination of aircraft will require more capable technologies for communications, navigation, and surveillance (CNS). The HSCNA project will provide a foundation for technology and operational concepts to accommodate a significantly greater number of networked aircraft. This paper describes two of the project's technical challenges. The first technical challenge is to develop a multi-band networking concept of operations (ConOps) for use in multiple phases of flight and all communication link types. This ConOps will integrate the advanced technologies explored by the HSCNA project and future operational concepts into a harmonized vision of future NAS communications and networking. The second technical challenge discussed is to conduct simulations of future ATM operations using multi-band/multi-mode networking and technologies. Large-scale simulations will assess the impact, compared to today's system, of the new and integrated networks and technologies under future air traffic demand.

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Paul Davis

Papers

Smart airport automation system

Automated real-time clearance analysis for air traffic

ACES terminal model enhancement

A what-if analysis tool for planning airport traffic

Hyper-spectral networking concept of operations and future air traffic management simulations