• Rafik AMARA ENS-Kouba / LTIR-USTHB, Algiers, Algeria
  • Asma BELAROUSSI ENS-Kouba / LTIR-USTHB, Algiers, Algeria
  • Youcef BESKRI ENS-Kouba / LTIR-USTHB, Algiers, Algeria
  • Mostefa BELHADJ AISSA LTIR-USTHB, Algiers, Algeria



Air Traffic Control, Air Traffic Control Radar, Air Traffic Management Systems, Geographical Information System, Web Map Server


In order to ensure the safety of aircraft operating in airspace, air traffic controllers apply a number of rules recommended by the ICAO, known as "separation rules". Previously using essentially the calculation of the estimates, they are based today on the visualization of the traffic through Air Traffic Management Systems. Traffic data comes from several sources. These include radar data from Air Traffic Control Radars. The objective of this work is to simulate, using a web map server, the evolution of air traffic: positions and flight levels of aircraft over time based on radar data. For this we use three parts. The first part, the pseudo radar, is a remote radar data server that, depending on the time, sends the data to the map server that is the second part. The latter receives this data and combines it with other geographical and cartographic data and sends them in turn to the client via the web server. The client, a simple interface finally displays the positions of aircraft on screen.


Alam, S., Abbass, H. A., & Barlow, M. (2008). Atoms: Air traffic operations and management simulator. IEEE Transactions on intelligent transportation systems, 9(2), 209-225.

AirPortOnline. (2019, June). Aviation Management Simulations- AIRPORT and AIRLINE Management. Retrieved from

ATCSIM. (2015, November). Air Traffic Control Simulator, Ames Research Center. Retrieved from

ATMOS. (2019, May). Air Traffic Management and Operations Simulator. Institute of Flight Guidance. Retrieved from

Brown, M. A., & Slater, M. (1997, January). Some experiences with three-dimensional display design: an air traffic control visualisation. In Proceedings 6th IEEE International Workshop on Robot and Human Communication. RO-MAN'97 SENDAI(pp. 296-301). IEEE, Japan.

Doc 4444. (2016). Procedures for Air Navigation Services: Air Traffic Management. ICAO. 16th Edition.

Doc9684. (2004). Manual of the Secondary Surveillance Radar (SSR) Systems. ICAO. Paperback.

Doc 9750. (2016). Global Air Navigation Plan for CNS/ATM Systems. ICAO. 5th Edition.

ANNEX 10 Vol III. 2016, Aeronautical Telecommunications Volume III - COMMUNICATION SYSTEM. ICAO. 2nd Edition.

EUROCONTROL. (2016 October). Specification for Surveillance Data Exchange - Part 1 All Purpose Structured EUROCONTROL Surveillance Information Exchange (ASTERIX). Edition N° 2.4.

Grether, D., Fürbas, S., & Nagel, K. (2013). Agent-based modelling and simulation of air transport technology. Procedia Computer Science, 19, 821-828.

Hauksdóttir, A. S., Gudmundsson, T. T., Gunnarsson, H. K., Ólafsson, Ó. Ö., & Pálsson, Á. (1998). The AMELIA air traffic and radar simulator and its use in the assessment of costs and benefits of future air traffic scenarios. Air Traffic Control Quarterly, 6(2), 119-143.

Huisman, O., & De By, R. A. (2009). Principles of geographic information systems. ITC Educational Textbook Series, 1, 17.

Karaman, A. S. (2018). Simulating air transportation networks under capacity constraints: Transforming into a multi-hub infrastructure. Kybernetes, 47(6), 1122-1137.

Mohamad, A. A., Pugi, N. A., & Zainol, H. (2016). The GIS Application in Smartphone for Tourism. MATTER: International Journal of Science and Technology, 2(1).

NARSIM. (2019, June). NLR ATM Real-time Simulator as a service. Retrieved from

Neumann, A. (2008). Web mapping and web cartography. Encyclopedia of GIS, 1261-1269.

Rahman, H. (2019). Fundamental Principles of Radar. CRC Press.




How to Cite

AMARA, R., BELAROUSSI, A., BESKRI, Y., & AISSA, M. B. (2019). MAP SERVER FOR VISUALIZING AIR TRAFFIC BASED ON DATA FROM A REMOTE PSEUDO RADAR. MATTER: International Journal of Science and Technology, 5(2), 123–135.