---
title: Forecasting Transportation Demand in the U.S. Market
url: https://www.ml-quant.com/papers/ssrn/4611277/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: SSRN 4611277
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4611277
featured: 2023-10-25
citations: unknown
topic: Econometrics & Forecasting
---


# Forecasting Transportation Demand in the U.S. Market

The study forecasts U.S. domestic transportation demand using machine learning and econometric methods, with machine learning models providing more accurate predictions.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4611277
- Identifier: SSRN 4611277
- Released: 2023-10-24
- First featured: Quant Letter No. 23 (2023-10-25): https://www.ml-quant.com/issues/2023-10-25/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Econometrics & Forecasting

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