Title of Paper:Multi-sector Traffic Congestion Identification Method Based on FCM-rough Sets

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Affiliation of Author(s):民航学院

Journal:Jiaotong Yunshu Xitong Gongcheng Yu Xinxi J. Transp. Syst. Eng. Inf. Technol.

Abstract:Based on the temporal and spatial characteristics of traffic congestion in ATM sector, a multisector traffic congestion identification model is established with the radar trajectory data. We establish four multi-sector congestion indicators which are the equivalent traffic volume, the degree of proximity, the saturation degree and the traffic density. The sector congestion level is classified and identified with fuzzy clustering algorithm (FCM) and rough set theory, and verified with the observed data from area control sectors of Central South Air Traffic Control Bureau. The result shows that the sector congestion level is affected by the macro and micro characteristics of the sector, and congestion identification model is feasible and efficient. The method of multi-sector traffic congestion identification model has certain application value in airspace planning, ATC assistant decision and air traffic flow management. Copyright © 2017 by Science Press.

ISSN No.:1009-6744

Translation or Not:no

Date of Publication:2017-12-01

Co-author:hmh,Zheng, Zhe

Correspondence Author:Lee