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

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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Siemens
new york city Department of transportation
arup
Toronto
arcadis
Fehr Peers
VHB
sandag
NVTA
SSTI
VDOT
Stantec

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