JOURNAL BROWSE
Search
Advanced SearchSearch Tips
ADS-B based Trajectory Prediction and Conflict Detection for Air Traffic Management
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
ADS-B based Trajectory Prediction and Conflict Detection for Air Traffic Management
Baek, Kwang-Yul; Bang, Hyo-Choong;
  PDF(new window)
 Abstract
The Automatic Dependent Surveillance Broadcast (ADS-B) system is a key component of CNS/ATM recommended by the International Civil Aviation Organization (ICAO) as the next generation air traffic control system. ADS-B broadcasts identification, positional data, and operation information of an aircraft to other aircraft, ground vehicles and ground stations in the nearby region. This paper explores the ADS-B based trajectory prediction and the conflict detection algorithm. The multiple-model based trajectory prediction algorithm leads accurate predicted conflict probability at a future forecast time. We propose an efficient and accurate algorithm to calculate conflict probability based on approximation of the conflict zone by a set of blocks. The performance of proposed algorithms is demonstrated by a numerical simulation of two aircraft encounter scenarios.
 Keywords
Automatic Dependent Surveillance Broadcast (ADS-B);interacting multiple model;trajectory prediction;conflict detection;conflict probability;
 Language
English
 Cited by
 References
1.
ICAO, Global Air Navigation Plan for CNS/ATM Systems, 2nd ed., DOC 9750 AA/693, 2002.

2.
RTCA, Minimum Aviation System Performance Standards, DO-242A, 2002.

3.
Bar-Shalom, Y., Rong L, X., and Kirubarajan, T., Estimation with Applications to Tracking and Navigation, Wiley, New York, 2001.

4.
Mazor, E., Averbuch, A., Bar-Shalom, Y., and Dayan, J., "Interacting multiple model methods in target tracking: a survey", IEEE Transactions on Aerospace and Electronic Systems, Vol.34, No.1, 1998, pp.103-123. DOI: 10.1109/7.64026 crossref(new window)

5.
Hwang, I., Balakrishnan, H., and Tomlin, C., "State estimation for hybrid systems: applications to aircraft tracking", IEE Proceedings- Control Theory and Applications, Vol.153, No.5, 2006, pp. 556- 566. crossref(new window)

6.
Kuchar, J.K., and Yang, L.C., "A review of conflict detection and resolution modeling methods", IEEE Transactions on Intelligent Transportation Systems, Vol.1, No.4, 2000, pp.179-189. DOI: 10.1109/6979.898217 crossref(new window)

7.
Chatterji, G. B., "Short-Term Trajectory Prediction Methods", AIAA Guidance, Navigation, and Control Conference, Portland, OR, 1999.

8.
Innocenti, M., and Pollini, L., "Spatial Trajectory Generation for Conflict Avoidance in Air Traffic Management", AIAA Guidance, Navigation, and Control Conference, Denver, CO, 2000.

9.
Paielli, R., and Erzberger. H., "Conflict Probability Estimation for Free Flight", Journal of Guidance, Control, and Dynamics, Vol. 20, No.3, 1997, pp.588-596. crossref(new window)

10.
Hwang, I., and Seah. C.E., "Intent-Based Probabilistic Conflict Detection for the Next Generation Air Transportation System", Proceedings of the IEEE, Vol. 96, No.12, 2008, pp.2040-2059 DOI: 10.1109/JPROC.2008.2006138 crossref(new window)

11.
Yang, L., Yang, J., Kuchar, J., and Feron, E., "A Real-Time Monte Carlo Implementation for Computing Probability of Conflict", AIAA Guidance, Navigation, and Control Conference, Providence, RI, 2004.

12.
Daalen, C., and Jones, T., "Fast Conflict Detection using Probability Flow", Automatica, Vol.45, No.9, 2009, pp.1903-1909. crossref(new window)