Saudi Arabia - Road Traffic Data

This dataset offers an in-depth view of road traffic patterns in Saudi Arabia, encompassing data on traffic densities, average speeds, and congestion during peak hours, both in real-time and historically.

Comprehensive Traffic Data Insights

Dive into Detailed Statistics and Metrics for Informed Traffic Management and Urban Planning Decisions in Saudi Arabia

N/A

Total Number of records
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66014 kilometres

Road Links Length in Riyadh
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طريق علي بن أبي طالب - 78.8

Fastest StreetName by Median Speed
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30 km/h

Riyadh Median Speed
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Preview of Saudi Arabia's Road Traffic Data

A Snapshot of Traffic Trends and Patterns Across Key Saudi Arabian Cities

Key Variables

Dive into Detailed Statistics and Metrics for Informed Traffic Management and Urban Planning Decisions in Saudi Arabia

Name
Description
Type
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
TravelTime Standard Deviation
Reflects the variability in travel time, highlighting potential delays and inconsistencies in journey durations.
Float
Sample Size
The number of data points or observations collected, critical for the reliability and accuracy of traffic analysis.
Integer
Standard Deviation speed
A measure of speed variability, indicating the consistency or fluctuation of traffic speeds.
Float
Frc
A classification system for roads, determining their hierarchy and role in overall traffic mobility.
Categorical
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
Time set
A specific time frame under consideration, important for analyzing traffic patterns at different times.
DateTime
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

Use Cases

How can this dataset benefit you?

Strategic Urban Planning

Employ traffic data for designing efficient urban road networks and reducing congestion in key cities.

Effective Traffic Management

Leverage data for dynamic traffic control, optimizing signal timings and managing congestion.

Road Safety and Risk Analysis

Utilize traffic patterns to identify high-risk zones and improve road safety measures.

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Data Visualization in Action


Median Speed by Road Class

frc

medianSpeed

class 0

86.3

class 1

90.5

class 2

69.4

class 3

55.8

class 4

46.4

class 5

43.4

class 6

35.6

class 7

20.7

Fastest Streets by their Median Speed

streetName

medianSpeed

M35

22.1

شارع العمارية

55

طريق جبل الرحمة

61.85

500

67.2

طريق الملك عبدالله

69.25

طريق الملك عبد الله

71

طريق مكة المكرمة

72.2

طريق الملك فهد

72.8

الطريق الدائري الشرقي

74.45

طريق علي بن أبي طالب

78.8

Slowest Streets by their Median Speed

streetName

medianSpeed

513

99

طريق الملك سلمان

100

شارع طريق مكة المكرمة

102

الطريق الدائري الجديد

102

طريق جدة

102

طريق الدمام

103

505

108

طريق الخرج السريع

108

الخرج القديم

116

الرياض - الدمام

122

Comparing road links together 

This map instruct users how to compare traffic across various road links, emphasizing the methodology to identify congestion patterns and traffic flow differences. It's an educational journey into understanding how different roads perform under similar conditions.

Impact assessment of poi data on traffic in Riyadh 

Here, we delve into the relationship between points of interest (POIs) and traffic flow in Riyadh. The content is structured to guide users through the process of assessing how local landmarks and businesses influence traffic dynamics, providing a deeper understanding of urban mobility.

Data attributes including information for each road links 

The data attributes of the catalog serves as a tutorial on the diverse data attributes for each road link. Users will learn about analyzing traffic volumes, road types, and environmental factors, equipping them with the skills to conduct a thorough road network analysis.

Traffic along specific Commercial Real Estate

Explore the influence of commercial real estate on traffic patterns. The content is crafted to educate users on identifying and understanding the interactions between commercial hubs and their surrounding traffic flows.

Median Speed Analysis in Mekkah

This analysis focuses on teaching the significance of median speed as an indicator of traffic efficiency in Mekkah. It guides users through interpreting this data to gauge congestion levels and overall traffic fluidity in the city.

Analysis of Saudi Arabia Restaurants POI with the Traffic on Roads

Users are instructed on how to correlate restaurant locations with traffic data, uncovering the impact of dining establishments on road congestion. The section is designed as a step-by-step guide to reveal underlying traffic trends influenced by restaurant POIs.

Commercial Real Estate Grids along with their Traffic Stats

It serves for understanding the relationship between commercial real estate grids and traffic statistics. Users are guided through analyzing these data points to draw valuable insights for urban development and traffic management."

Traffic Roads connecting Mecca city with At Taif City

In this comprehensive map, users learn to analyze the traffic conditions on key routes between Mecca and At Taif. The content is structured to highlight congestion points, travel patterns, and route efficiency, providing a thorough understanding of intercity travel dynamics.

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 is the frequency of data updates?

Data is updated monthly to provide the latest traffic insights.

Is the dataset GIS-compatible?

Yes, it seamlessly integrates with most GIS platforms for comprehensive spatial analysis.

How this traffic data be useful?

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

Muneeb Rehman
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