---
title: Did Cut-Through Traffic Prevention Measures Help or Hurt
description: With fast before-and-after analysis, Big Data showed which cut-through traffic restrictions worked for this California city.
---

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# CASE STUDY

## Solving Cut-Through "Waze Effect" Traffic

With before-and-after analysis, Big Data can show which solutions work and which don’t.

Analyzing cut-through traffic restrictions is difficult because volume data is expensive and time-consuming to collect. Surveys suffer from small sample sizes and stated preference discrepancies.

![Cut-Through-Traffic-Prevention-Case-Study square](https://learn.streetlightdata.com/hs-fs/hubfs/Case%20Studies/Did%20Cut%20Through%20Measures%20Help%20or%20Hurt/Cut-Through-Traffic-Prevention-Case-Study%20square.jpg?width=285&name=Cut-Through-Traffic-Prevention-Case-Study%20square.jpg)

In this case study you’ll learn:

- How Big Data collected actual point-to-point trip information
- Where cut-through was causing congestion
- What analysis proved impact of restrictions
- Why constituents supported the results

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