Research on the Sales Volume of Heavy Trucks in Various Usage Scenarios Based on the Analysis of the Static Market Big Data Model

Bai C., Zhang H.

2nd International Conference on Forthcoming Networks and Sustainability in the IoT Era (FoNeS-IoT), ELECTR NETWORK, 8 - 09 January 2022, vol.129, pp.107-115 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 129
  • Doi Number: 10.1007/978-3-030-99616-1_15
  • Country: ELECTR NETWORK
  • Page Numbers: pp.107-115
  • Keywords: Heavy truck market, Sales prediction, Usage scenarios
  • Istanbul University Affiliated: No

Abstract

At present, China's heavy truck market is in a transitional stage. The impact of multiple internal and external factors makes China's heavy truck market situation full of uncertainties. The sales analysis and forecast of the future overall market and the market space of various usage scenarios are vital for commercial vehicle companies in the market competition. It directly affects the business decision-making of auto companies. This paper aims to establish a quantitative forecasting model based on a self-built and unique static database, rationally forecast the overall sales and various usage scenarios, and provide necessary information support for companies to adjust short-term production plans and formulate mid- and long-term plans.