Explore a vast data repository that reveals the intricate dynamics of road usage, congestion, and traffic flow across Estonia. Obtain invaluable insights from this comprehensive dataset to guide your strategic decisions with a clear understanding of the nation's traffic patterns.
Investigate detailed metrics and analyses that uncover the intricacies of traffic flow, congestion hotspots, and speed trends—crucial for informed transportation planning and management throughout Estonia.
Preview the depth and breadth of our traffic data collection, showcasing how granular insights can revolutionize transportation planning and management in Estonia.
Investigate detailed metrics and analyses that uncover the intricacies of traffic flow, congestion hotspots, and speed trends—crucial for informed transportation planning and management throughout Estonia.
How can this dataset benefit you?
Utilize Estonia’s road traffic data to optimize winter road maintenance strategies, especially in areas prone to heavy snow and ice. Analyze traffic flow to prioritize snow removal and salting on roads that experience high traffic volumes, ensuring safer driving conditions during harsh winter months.
Implement advanced smart city traffic solutions in Tallinn by integrating road traffic data with IoT devices and sensors. This could include adaptive traffic lights that respond to real-time traffic conditions, smart parking systems that guide drivers to available spots, and congestion prediction models to inform daily commuters.
Use traffic data to enhance the efficiency and coverage of public transportation networks across Estonia. Analyze routes with high congestion to determine if additional bus or tram services are needed or if existing routes can be optimized. This use of data can help in reducing overall traffic congestion and promoting the use of public transport, aligning with Estonia's environmental goals.
Everything You need to know to know about the Road Traffic of Estonia
Median Vehicle Speeds by Road Names
This analysis investigates the median speeds of vehicles across various road types, highlighting efficiency and congestion levels from highways to local streets.
Examines the range and prevalence of speed limits throughout Estonia, identifying areas with strict regulations and potential zones for speed limit adjustments.
Showcases the diversity of road types within the network, from major thoroughfares to local streets, and their distribution across the country.
Analyzes average speeds based on road functional classifications, providing insights into traffic flow and congestion differences between arterial roads and local streets.
Focuses on speed patterns along this major road, highlighting areas of congestion or high efficiency and their impact on travel times.
Lists the top 10 streets by average speed, offering an overview of traffic conditions in busy urban areas or on efficient routes.
Provides a detailed examination of traffic flow on Tallinn's streets, including peak traffic times, average speeds, and congested areas, presented with visual data.
This data is provided by LocationMind but the data source is TomTom
xMap empowers businesses with unparalleled location intelligence and comprehensive data analysis, guiding them towards market leadership and growth.
Find answers to commonly asked questions about our spatial analyst platform.
This dataset encompasses real-time and historical data on traffic density, accidents, road conditions, and congestion trends.
Leverage this dataset for site selection, analyze road traffic on your desired business location, enhanced route planning, strategic urban development projects, and to implement proactive traffic management strategies.
At xMap, we are committed to ensuring that our clients can leverage our datasets effectively. We provide comprehensive technical support, including help with data integration, troubleshooting, and optimization of data use. Additionally, we offer consulting services to help businesses understand and analyze traffic data to meet their specific strategic objectives.