Contemporary Applications of Big Data in Society

 Bilal Hussain Malik

18/4/25

                                     Contemporary Applications of Big Data in Society


                                                      

Company: Siemens Mobility

Application of Big Data: Intelligent traffic light systems and smart city traffic management

Siemens Mobility applies big data in developing intelligent traffic light systems that ensure optimal traffic flow, reduce congestion, and ensure road safety in modern cities. The systems collect real-time information from various sources—such as traffic cameras, sensors embedded in roads, vehicle GPS tracking data, and weather.

Functioning on sophisticated analytics and artificial intelligence, the traffic light system adapts in real-time to changing conditions. For example, when sensors detect heavy traffic on the way to an intersection, green light lingers longer automatically to prevent congestion. Similarly, the system shortens wait times for vehicles and pedestrians during off-peak hours, improving overall traffic flow.

In addition, big data enables predictive traffic management. Using previous trends, the system can predict rush hours, events, or accidents and prepare traffic lights accordingly. These smart systems reduce fuel consumption and carbon emissions and make travel faster and safer making big data a vital component in modern urban planning.

Comments

Post a Comment

Popular posts from this blog

Definition of Big data

Image
Bilal Hussain Malik    16/3/25                                                                           Definition of big data Big Data refers to the vast, complex datasets that typical data processing technologies are unable to handle. It is defined by its defining aspects of volume, the vast magnitude of the data, velocity the speed with which data is generated and processed, and variety the diversity and type of the data, including structured, semi structured, and unstructured. In addition truthfulness ensuring data quality and verifiability and value decision-making utility of data are also important. The primary sources of Big Data include social networks, IoT devices, financial transactions, healthcare records, and government databases, all which generate large amounts of informati...
Read more

Contemporary applications of big data in science(1)

Image
Bilal Hussain Malik 18/04/25                                       Contemporary applications of big data in science                                       Precision Medicine and Genomics Big data is an underpinning of precision medicine, which shapes healthcare according to individual genetic, environmental, and lifestyle differences. Through examining enormous quantities of genomic data, healthcare professionals are able to identify genetic mutations and biomarkers for specific diseases. Genomic sequencing of millions of patients generates gigantic datasets that are analyzed by machine learning in order to predict disease risk and recommend personalized treatments. This is especially groundbreaking in oncology, with therapies being tailored to the genetic signature of a patient's tumor. Further, real...
Read more