Qatar - Road Traffic Data

Explore the evolving dynamics of Qatar’s road networks with our comprehensive traffic dataset, providing detailed insights into traffic volumes, congestion patterns, and vehicle types across this rapidly developing nation. Perfect for urban planners, transportation officials, and developers, this dataset is essential for enhancing traffic management, supporting infrastructure development, and promoting efficient urban planning as Qatar continues to expand its cities and transport systems.

Vital Traffic Insights across the Qatar

Analyze detailed data and research that offer understanding of the intricacies of traffic flow, congested areas, and required adjustments in speed to aid in informed planning of transportation in Qatar.

N/A

Total Number of records
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7,039 kilometers

Total Length of Qatar Roads (Kms)
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الطريق المداري الجديد - 115.4 km/h

Fastest Road by Median Speed
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دوار المرقاب - 28.0 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 Qatar.

Key Variables

Analyze detailed data and research that offer understanding of the intricacies of traffic flow, congested areas, and required adjustments in speed to aid in informed planning of transportation in Qatar.

Name
Description
Type
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
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
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
Average speed
The arithmetic mean of speed data, useful for understanding overall traffic flow on a road segment.
Float
Sequence
The order of road segments or data points, important for mapping routes and analyzing traffic flow sequences.
Integer
Standard Deviation speed
A measure of speed variability, indicating the consistency or fluctuation of traffic speeds.
Float
TravelTime Standard Deviation
Reflects the variability in travel time, highlighting potential delays and inconsistencies in journey durations.
Float

Use Cases

How can this dataset benefit you?

Major Event Traffic Coordination

Utilize Qatar’s road traffic data to coordinate and manage traffic during major events such as the FIFA World Cup or large cultural festivals. Implement systems that dynamically manage traffic flow, including the use of variable message signs and real-time rerouting advice to maximize efficiency and minimize congestion on critical event days.

Infrastructure Development in New Urban Areas

Leverage the traffic data to guide infrastructure development in rapidly expanding urban areas such as Lusail City. Use insights from traffic volumes and patterns to plan road layouts, determine the need for bridges or tunnels, and optimize the placement of traffic lights and signs to ensure smooth traffic flow as new districts are developed.

Public Transportation Enhancement

Employ the traffic flow data to optimize and expand Qatar’s public transportation network, particularly the Doha Metro and bus services. Analyze peak traffic areas and times to adjust public transit routes and schedules, aiming to provide a viable alternative to private car usage that can alleviate road congestion and reduce environmental impacts.

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

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)

دوار المرقاب

28

شارع علي بن عبدالله

30.36

شارع حمد الكبير

30.98

شارع المتحف

31.26

شارع الميناء

31.77

تقاطع العسيري

34.15

شارع المطار القديم

34.2

الطريق الدائري الثاني

36.08

شارع مشيرب

36.32

دوار البدع

36.53

شارع المنتزه

86.26

طريق الشمال

86.81

الوكرة الطريق

87.38

شارع الصناعية الشرقي

89.31

شارع حوار

91.82

طريق ميناء حمد

97.23

طريق الخور

98.24

طريق دخان

102.68

طريق الدائري السابع

103.89

الطريق المداري الجديد

115.4

Speed Limit Distribution

Explores the range and prevalence of speed limits throughout Qatar, 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 شارع الريان الجديد 

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

Doha Street Traffic Analysis

Presents a detailed examination of traffic flow on Doha’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.

How can this road traffic dataset benefit my business or project?

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.

What support does xMap offer to clients using the Road Traffic dataset?

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.

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