Slovakia - Road Traffic Data

Explore Slovakia’s road networks with our comprehensive traffic dataset, which provides in-depth insights into traffic volumes, congestion patterns, and vehicle types across the country. Ideal for government planners, urban developers, and transport analysts, this dataset supports effective traffic management, facilitates optimized route planning, and aids in the strategic development of transportation infrastructure throughout Slovakia.

Vital Traffic Insights across the Slovakia

Delve into detailed data and research to gain a deep understanding of traffic flow intricacies, congested areas, and necessary speed adjustments for effective transportation planning in Slovenia.

N/A

Total Number of records
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38,985 kilometers

Total Length of Slovakia Roads (Kms)
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Podkerepušky - 120.0 km/h

Fastest Road by Median Speed
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Vazovova - 26.57 km/h

Slowest Road by Median Speed
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Download a Sample

Preview the depth and breadth of our traffic data collection, showcasing how granular insights can revolutionize transportation planning and management in Slovakia.

Key Variables

Delve into detailed data and research to gain a deep understanding of traffic flow intricacies, congested areas, and necessary speed adjustments for effective transportation planning in Slovenia.

Name
Description
Type
Street Name
The official name of a road, essential for location identification and route navigation.
String
SpeedLimit
The maximum legally permitted speed on a road segment, crucial for safety and traffic flow analysis.
Integer
Median speed
The middle value of speed measurements, offering a representative speed of traffic under typical conditions.
Float
Distance
The length of a road segment or route, key in calculating travel times and route planning.
Float
TravelTime Standard Deviation
Reflects the variability in travel time, highlighting potential delays and inconsistencies in journey durations.
Float
Standard Deviation speed
A measure of speed variability, indicating the consistency or fluctuation of traffic speeds.
Float
Sample Size
The number of data points or observations collected, critical for the reliability and accuracy of traffic analysis.
Integer
Frc
A classification system for roads, determining their hierarchy and role in overall traffic mobility.
Categorical
Sequence
The order of road segments or data points, important for mapping routes and analyzing traffic flow sequences.
Integer
Average speed
The arithmetic mean of speed data, useful for understanding overall traffic flow on a road segment.
Float

Use Cases

How can this dataset benefit you?

Enhancing Commuter Routes in Bratislava

Utilize Slovakia's road traffic data to enhance commuter routes in Bratislava, addressing congestion and optimizing flow during peak hours. Implement traffic management solutions such as adjusted traffic light sequences and real-time public transport updates to commuters through mobile apps, improving efficiency and reducing travel times for daily commuters.

Strategic Planning for Electric Vehicle (EV) Charging Stations

Leverage traffic and vehicle type data to strategically plan and deploy electric vehicle charging stations across Slovakia. Use insights from the data to identify high traffic areas with a growing number of electric vehicles to ensure the charging infrastructure meets current demand and encourages further adoption of EVs.

Safety Improvements on High-Accident Roads

Employ traffic data to identify roads and intersections with high accident rates throughout Slovakia. Analyze traffic patterns to determine contributing factors and implement safety improvements such as better signage, road widening, the introduction of roundabouts, and targeted law enforcement presence to reduce accident rates and enhance safety for all road users.

Everything You need to know to know about the Road Traffic of Slovakia

Median Vehicle Speeds by Road Names

This analysis evaluates median vehicle speeds across various road types, highlighting efficiency and congestion levels from highways to local streets.

Street Name

Median Speed (km/h)

Vazovova

26.57

1030

27.2

Radlinského

28.59

Janka Alexyho

28.65

Učiteľská

28.95

Račianske mýto

29.41

Jarošova

30.23

Šafárikovo námestie

31.43

Mramorová

31.47

Suché mýto

32.01

Prístavný most

78.59

Einsteinova

82.28

Most Lanfranconi

88.87

Strojnícka

90.48

E65

94.87

E58

97.25

Ilkovičova

100

R7

114.09

D4

118.31

Podkerepušky

120

Speed Limit Distribution

Explores the range and prevalence of speed limits throughout Slovakia, identifying areas with strict regulations and potential zones for speed limit adjustments.

Functional Road Class (FRC) Distribution

Illustrates the variety of road types within the network, from major thoroughfares to local streets, and their distribution across the territory.

Average Speed by Functional Road Class (FRC)

Analyzes average speeds based on road functional classifications, providing insights into traffic flow and congestion differences between arterial roads and local streets.

Average Speed Distribution for Dolnozemská cesta

Examines speed patterns along this major road, highlighting areas of congestion or high efficiency and their impact on travel times.

Top 10 Streets by Average Speed

Lists the top 10 streets by average speed, offering an overview of traffic conditions in busy urban areas or on efficient routes.

Bratislava Street Traffic Analysis

Presents a detailed examination of traffic flow on Bratislava’s streets, including peak traffic times, average speeds, and congested areas, supported by visual data.

This data is provided by LocationMind but the data source is TomTom

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Frequently Asked Questions

Find answers to commonly asked questions about our spatial analyst platform.

What types of data are included in the Road Traffic Insights?

This dataset encompasses real-time and historical data on traffic density, accidents, road conditions, and congestion trends.

What types of data are included in the Andorra Road Traffic dataset?

The Andorra Road Traffic dataset includes a variety of information such as historical traffic data, congestion levels, traffic flow patterns, and types of vehicles on the roads. This data helps in understanding traffic dynamics and planning accordingly.

Alex Sakal
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