Literature review on Spatial Big Data (SBD) to improve road safety

Defined as large, complex data, Big Data (BD) is used in many fields and offers many benefits. Some of the areas where BD is used include marketing, healthcare, education, environment, security, and transportation. BD comes from a variety of sources and can be of different types. For example, some of this data comes from objects distributed in time and space, such as navigation maps, mobile object itineraries, or information from social networking services (SNS). All of this data makes up what is known as Spatial Big Data (SBD), which is one of the main drivers of BD. SBDs, which include geolocated data from a variety of sources, offer significant potential for improving traffic management. However, in some countries, such as Senegal, the use of SBD remains marginal, particularly for solving road safety problems.

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Publication Details

Journal
IET conference proceedings.
Published
2025-08-01
DOI
https://doi.org/10.1049/icp.2025.2041
Primary Topic
Traffic Prediction and Management Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Literature review on Spatial Big Data (SBD) to improve road safety

Sow Abdramane, Diatta Baboucar, Basse Adrien
IET conference proceedings.
Traffic Prediction and Management Techniques
article

Literature review on Spatial Big Data (SBD) to improve road safety

Sow Abdramane, Diatta Baboucar, Basse Adrien
article en

Abstract

Defined as large, complex data, Big Data (BD) is used in many fields and offers many benefits. Some of the areas where BD is used include marketing, healthcare, education, environment, security, and transportation. BD comes from a variety of sources and can be of different types. For example, some of this data comes from objects distributed in time and space, such as navigation maps, mobile object itineraries, or information from social networking services (SNS). All of this data makes up what is known as Spatial Big Data (SBD), which is one of the main drivers of BD. SBDs, which include geolocated data from a variety of sources, offer significant potential for improving traffic management. However, in some countries, such as Senegal, the use of SBD remains marginal, particularly for solving road safety problems.

IET conference proceedings.Vol. 2025(8)
Université Alioune Diop de Bambey (SN)
Openalex Percentile: Top 78%
Traffic Prediction and Management Techniques
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Literature review on Spatial Big Data (SBD) to improve road safety — Sow Abdramane, Diatta Baboucar, et al. · IET conference proceedings. (2025) | TGRS Research Map | TGRS