Case Study: a global mobile services operator achieves optimized route planning with Quantzig's transportation analytics

Big Data Analytics Reduces Transport Network Congestion

A global mobile services operator headquartered in Europe faced significant challenges with urban traffic congestion, which was causing productivity losses and increased fuel consumption. To combat this, they sought to analyze transport demand and supply to optimize routes and reduce costs by leveraging big data analytics. They partnered with the analytics vendor Quantzig to develop a network optimization solution.

Quantzig's approach involved assessing mobile data, transportation networks, and population data to create a multi-layered analytics architecture. Their solution provided daily travel demand estimates, enabled optimized route planning, and calculated travel delay metrics due to congestion. This allowed the client to gain an in-depth understanding of traffic flow distribution and identify network bottlenecks, leading to better transport planning and more efficient infrastructure use.