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Forecasting international telecommunications traffic by the data translation method
Authors:Kiyonori Kunisawa  Yasuichi Horibe
Affiliation:1. University of St. Gallen (HSG), Dufourstr. 40a, CH-9000, Switzerland;2. EBS Business School, An der Burg 8, 70192 Stuttgart, Germany;3. Research Institute for International Management, University of St. Gallen (HSG) Dufourstrasse 40a, CH-9000 St.Gallen, Switzerland;4. Strategic & Supply Chain Management, Indian Institute of Management Udaipur (IIM-U) Mohanlal Sukhadia University Campus, Udaipur – 313 001, India;1. Department of Industrial and Information Systems Engineering, Ajou University, San 5, Woncheon-dong, Paldal-gu, Suwon-si, Gyeonggi-do 443-749, Republic of Korea;2. Department of Electronics and Radio Engineering, Kyung Hee University, Seocheon-dong, Gihung-gu, Yongin-si, Gyeonggi-do 446-701, Republic of Korea;3. Department of Industrial & Systems Engineering, School of Engineering, Dongguk University-Seoul, Pil-dong, 3 Ga, Joong-gu, Seoul 100-715, Republic of Korea
Abstract:In forecasting the future international telecommunications traffic for individual countries, a global international view may provide a better long-range view of future trends rather than one based on observing individual countries separately. We propose a data translation method to achieve this. The method properly translates the traffic data per person for a group of countries along the time axis and ‘joins’ them together to form a single logistic or exponential forecasting curve. A necessary and sufficient mathematical condition for the method to be applied is given. Estimation of these curves is then considered. Forecasts are briefly shown for the telephone and telex examples, which demonstrate the improved accuracy that can be achieved relative to simple models based on individual country's trends.
Keywords:International telecommunications traffic   Data translation method   Logistic curve   Exponential curve
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