---
title: Predicting Vehicle Wait Times at Borders
url: https://www.ml-quant.com/papers/repec/eee-retrec-v-89-y-2021-i-c-s0739885921000068/
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: RePEc:eee:retrec:v:89:y:2021:i:c:s0739885921000068
source_url: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS0739885921000068%3Bh%3Drepec%3Aeee%3Aretrec%3Av%3A89%3Ay%3A2021%3Ai%3Ac%3As0739885921000068
featured: 2025-10-24
citations: unknown
topic: Econometrics & Forecasting
---


# Predicting Vehicle Wait Times at Borders

The study explores new data sources and machine learning techniques to forecast short-term wait times at a US-Mexico border crossing, emphasizing the difficulties of high data variability.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS0739885921000068%3Bh%3Drepec%3Aeee%3Aretrec%3Av%3A89%3Ay%3A2021%3Ai%3Ac%3As0739885921000068
- Identifier: RePEc:eee:retrec:v:89:y:2021:i:c:s0739885921000068
- Released: 2021-10-19
- First featured: Quant Letter No. 116 (2025-10-24): https://www.ml-quant.com/issues/2025-10-24/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Econometrics & Forecasting

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