Forecasting Commercial Vehicle Demand Using a Multiple Linear Regression Model-Reference-Cited by-同舟云学术

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Forecasting Commercial Vehicle Demand Using a Multiple Linear Regression Model

Published:2023-08-25 Issue: Volume:9 Page:54-58
ISSN:
Container-title:2023 11th International Conference on Traffic and Logistic Engineering (ICTLE)
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Author:

Aungkulanon Pasura¹,Hirunwat Anucha¹,Atthirawong Walailak²,Luangpaiboon Pongchanun³

Affiliation:

1. King Mongkut’s University of Technology North Bangkok,Faculty of Engineering,Bangkok,Thailand,10800

2. King Mongkut’s Institute of Technology Ladkrabang,School of Science,Bangkok,Thailand,10520

3. Faculty of Engineering, Thammasat School of Engineering, Thammasat University,Industrial Statistics and Operational Research Unit (ISO-RU),Department of Industrial Engineering,Pathumthani,Thailand,12120

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10508731/10508732/10508825.pdf?arnumber=10508825

Reference12 articles.

1. Forecasting automobile sales

2. A hybrid optimization approach to forecast automobile sales of China

3. Electric vehicle adoption: An analysis of best practice and pitfalls for policy making from experiences of Europe and the US

4. Thai Passenger Car Demand Estimation;Chotivanich;Journal of Global Business Review.,2007

5. The Study of Factors Influencing The Automotive Demand and Automotive Demand Forecasting in Thailand: Case Study of Small-Car and Pickup-Passenger Vehicle (PPV) Segments;Suebpongsakorn;Journal of Economics Faculty of Economics,2014

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