A comprehensive annual assessment of congestion, mobility behavior, and economic impact across Qatar — powered by the Wamd™ IoT Platform since 2014.
QMIC holds the only comprehensive traffic data bank in Qatar since 2014, enabling continuous monitoring and knowledge-based assessment of national mobility.
QMIC developed and deployed a comprehensive data platform to support intelligent transport in Qatar, with the only complete traffic data bank in the country.
Continuous monitoring and knowledge-based assessment are vital for sustainable national mobility planning. First report published in 2016.
The most updated navigable GIS data in Qatar, collected through a multi-source traffic sensing network providing a live, continuously enriched view of the national road network.
Approximately 11.5 billion raw records were collected in 2024 from QMIC's comprehensive IoT data collection network.
The WCI ranges from 0–100%, indicating the average speed reduction compared to free-flow speed on any given road segment. WCI is used to determine the:
Enabling transport planners, policymakers, and researchers to make evidence-based decisions about Qatar's road network and mobility future.
Three major factors shaped congestion and mobility in 2024 — post-World Cup legacy, completion of major road projects, and evolving commuter patterns.
per commuter during weekdays due to congestion — unchanged from 2023, reflecting stable but persistent traffic pressure.
February recorded the highest congestion index of 2024, driven by peak population activity and cooler weather increasing road usage.
July saw the lowest congestion levels, reflecting seasonal patterns as residents travel abroad during summer months.
There is a strong correlation between congestion levels and population, suggesting that private cars remain the primary mode of transport in Qatar.
The impact of visitors on congestion is moderate — the correlation with visitor volumes is notably weaker than that with resident population.
Congestion follows predictable daily rhythms with three distinct peak windows, and clear variation across the days of the week.
Beyond daily inconvenience, traffic congestion carries measurable economic costs. QMIC's model quantifies both the time lost and the productivity impact across Qatar.
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