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How Data Science is Pushing Transportation into the Future

1 May 2020
Media Article
Publisher : GovTech Insider

18537

Data science is transforming transportation by enabling smarter, more efficient, and safer systems. This article explores how predictive analytics optimizes traffic flow, reduces congestion, and enhances public transit reliability. It discusses the use of data to analyze rider behavior, inform route planning, and implement dynamic pricing models. Furthermore, data science contributes to the development of autonomous vehicles and intelligent infrastructure, improving accident prevention and emergency response times. These innovations leverage vast datasets to create responsive and sustainable transportation networks that benefit commuters and urban environments alike.

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HP Inc.

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Key topics

Data Science for social impact, Urban Development and Housing

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Operations and Program Management Systems Thinking and Complex Problem Design Technology for Social Change and Organisational Efficiency

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