Improving the accuracy of freight mode choice models: A case study using the 2017 CFS PUF data set and ensemble learning techniques

Documenti analoghi

• Exploring the Effects of Population and Employment Characteristics on Truck Flows: An Analysis of NextGen NHTS Origin-Destination Data
  di: Uddin, Majbah, et al.
  Pubblicazione: (2024)
• Examining Rail Transportation Route of Crude Oil in the United States Using Crowdsourced Social Media Data
  di: Liu, Yuandong, et al.
  Pubblicazione: (2024)
• Understanding Electric Vehicle Ownership Using Data Fusion and Spatial Modeling
  di: Meiyu, et al.
  Pubblicazione: (2024)
• Mobility Gaps between Low-Income and Not Low-Income Households: A Case Study in New York State
  di: Liu, Yuandong, et al.
  Pubblicazione: (2024)
• Modeling Freight Mode Choice Using Machine Learning Classifiers: A Comparative Study Using the Commodity Flow Survey (CFS) Data
  di: Uddin, Majbah, et al.
  Pubblicazione: (2024)