By Electronic Navigation Research Inst

ISBN-10: 4431544747

ISBN-13: 9784431544746

ISBN-10: 4431544755

ISBN-13: 9784431544753

The digital Navigation learn Institute (ENRI) held its third International Workshop on ATM / CNS in 2013 with the subject matter of "Drafting the destiny sky".

There is all over the world task happening within the learn and development of smooth air site visitors administration (ATM) and its permitting applied sciences in Communication, Navigation and Surveillance (CNS).

Pioneering paintings is important to give a contribution to the worldwide harmonization of air site visitors administration and keep an eye on. At this workshop, top experts in learn, and academia from around the globe met to share their rules and techniques on ATM/CNS similar topics.

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Extra resources for Air Traffic Management and Systems: Selected Papers of the 3rd ENRI International Workshop on ATM/CNS (EIWAC2013)

Sample text

Therefore our proposed gPC method provides an accurate approximate solution of the stochastic trajectory optimization problem while dramatically reducing computational cost. 26 Y. Matsuno and T. Tsuchiya 3 Conflict Detection By using the trajectory prediction algorithm described in Sect. 2, we propose the estimation method of the conflict probability between aircraft in this section. First, the conflict probability between aircraft is defined, thereafter the estimation method of the conflict probability is described.

Q), and determine the solution z(p j ) ( j = 1, . . , Q) (z is the time of arrival or the terminal time t f of the trajectory optimization problem in this paper). 4. Calculate the coefficients Cm (m = 1, . . , M). 5. Calculate the statistics of the approximate solution, the expected value E[z(p)] and the variance var(z(p)), from the coefficients Cm . 4 Numerical Simulation In this subsection, numerical simulation is conducted to verify the effectiveness and performance of our proposed stochastic trajectory optimization method.

Details of how this buffer was created are presented in [2]. The basic idea of this buffer is to provide a measure of safety in case the aircraft descends earlier or later than was predicted. The effect of the buffer is to clear out the airspace immediately below and in front of the predicted descent point. Since these buffers will clear more airspace than is needed compared to a perfectly known descent point, the sizes of these buffers should be tailored to the accuracy of the trajectory prediction system.

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Air Traffic Management and Systems: Selected Papers of the 3rd ENRI International Workshop on ATM/CNS (EIWAC2013) by Electronic Navigation Research Inst


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