Germany - Road Traffic Data

This dataset provides a detailed analysis of road traffic across Germany, utilizing advanced monitoring systems to gather data on traffic densities, average speeds, and peak traffic hours. It is an essential tool for transportation professionals, urban planners, and policymakers, offering insights that are critical for managing traffic flow, enhancing road safety, and guiding infrastructure development in one of Europe's most trafficked nations.

Essential Insights into Germany's Traffic

Delve into our detailed traffic data covering congestion levels, travel times, and speed patterns, vital for optimizing Germany's transportation network and urban planning efforts.

N/A

Total Number of records
Sign Up for Free

38km/h

Average Speed
Sign Up for Free

Berliner Ring - 115.6 km/h

Fastest Road by Median Speed
Sign Up for Free

Local Roads - 33.4 km/h

Slowest Road Class by Median Speed
Sign Up for Free

Germany's Road Traffic Overview

Get a glimpse of traffic trends and patterns across Germany, essential for strategic planning in transportation and urban development.

Key Variables

Delve into our detailed traffic data covering congestion levels, travel times, and speed patterns, vital for optimizing Germany's transportation network and urban planning efforts.

Name
Description
Type
Sequence
The order of road segments or data points, important for mapping routes and analyzing traffic flow sequences.
Integer
Sample Size
The number of data points or observations collected, critical for the reliability and accuracy of traffic analysis.
Integer
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
Average speed
The arithmetic mean of speed data, useful for understanding overall traffic flow on a road segment.
Float
Time set
A specific time frame under consideration, important for analyzing traffic patterns at different times.
DateTime
Distance
The length of a road segment or route, key in calculating travel times and route planning.
Float
Median speed
The middle value of speed measurements, offering a representative speed of traffic under typical conditions.
Float
SpeedLimit
The maximum legally permitted speed on a road segment, crucial for safety and traffic flow analysis.
Integer
Street Name
The official name of a road, essential for location identification and route navigation.
String
Frc
A classification system for roads, determining their hierarchy and role in overall traffic mobility.
Categorical

Use Cases

How can this dataset benefit you?

Efficient Urban Planning

Use this dataset to enhance urban planning strategies, managing traffic flow and reducing congestion in Germany's rapidly growing cities.

Advanced Traffic Management

Apply this data for sophisticated traffic management, optimizing signal timings and reducing congestion during peak travel times.

Road Safety Initiatives

Analyze traffic patterns to identify high-risk zones and implement targeted safety measures, enhancing road safety across Germany.

Road Network Traffic Speed Data in Berlin

A detailed overview of traffic speeds throughout Berlin's road network. It includes a comprehensive analysis of speed patterns on highways, main streets, and local roads, providing essential insights for traffic management and urban planning in the city.

Major Roads with Traffic Speed

This insight showcases the traffic speeds on major roads. It is essential for understanding the dynamics of traffic in Germany and for developing targeted urban traffic management strategies.

Median Speed by Road Class

road_class

medianSpeed

Motorways; Freeways; Major Roads

83.4

Major Roads less important than Motorways

42.5

Other Major Roads

43.3

Secondary Roads

39.5

Local Connecting Roads

37.6

Local Roads of High Importance

33.4

This data insight differentiates median speeds across various road classes in Berlin, such as autobahns, Bundesstraßen (federal roads), and local streets. It provides valuable information for understanding traffic flow and speed trends based on road types.

Major Roads with Their Median Speed

streetName

medianSpeed

Helmstraße

15.95

Paul-Francke-Straße

20.15

Glinkastraße

23.6

Neustädtische Kirchstraße

24.5

Friedenstraße

26.15

Potsdamer Platz

26.8

Knobelsdorffstraße

27.2

Babelsberger Straße

27.5

Kemperplatz

27.9

Alexanderstraße

28.05

E55

87.9

Alt Glasow

88.7

Hamburger Chaussee

93.9

A114

95.4

B5

98.35

B101

103.6

A13

105.3

A115

107.5

A11

112.1

Berliner Ring

115.6

An insightful look into the median speeds on Berlin's major roads, this data helps identify areas with potential traffic flow issues and aids in planning for efficient transportation infrastructure.

Berlin Road Traffic in Front of Specific Business

Focusing on the impact of commercial establishments on road traffic, this insight captures traffic volume and flow near specific businesses in Berlin. It is crucial for businesses to understand their impact on local traffic and for city planners to manage congestion effectively.

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

Why xMap?

xMap empowers businesses with unparalleled location intelligence and comprehensive data analysis, guiding them towards market leadership and growth.

Close Faster

23

Times more likely to acquire customers
Sign Up for Free

Improve Sales

4.5%

Of the total revenue because of data-driven innovations
Sign Up for Free

Retain More

6

Times more likely to retain customers
Sign Up for Free

Frequently Asked Questions

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

How this traffic data be useful?

It would be deal for traffic analysis, median speed, trend analysis and forecasting.

Can I integrate this data with other GIS tools?

Yes, our dataset is compatible with major GIS platforms, allowing for seamless integration and analysis.

How frequently is the dataset updated?

We update our data quarterly, ensuring you have access to the most current information.

Muneeb Rehman
Typically replies instantly
Muneeb Rehman
Hi there
How can i help you today?
Start Whatsapp Chat