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Difficulty: MediumSummary: Paraphrasing, Synthesis, and Conciseness

Read the passage below carefully:
'Traffic congestion in the Lagos metropolis has long led to severe economic losses and high carbon emissions. To tackle this, urban planners introduced an AI-driven adaptive traffic signal network across major corridors. The system first collects real-time vehicle density data via roadside cameras and sensor arrays. Next, central algorithms dynamically adjust traffic light durations to clear bottlenecked intersections. Following this automated signal optimization, transit authorities noticed a marked decrease in average travel times and fuel consumption. Ultimately, the successful integration of smart traffic management provided a scalable model for urban mobility in developing mega-cities.'

Based on the passage, arrange the following synthesized summary points in their correct logical and chronological sequence.

  1. 1Urban gridlock and environmental concerns drive the adoption of an AI-managed signal network.
  2. 2Sensors and cameras capture live vehicle density metrics along main transit corridors.
  3. 3Central algorithms analyze incoming metrics to dynamically recalibrate signal timings.
  4. 4Automated signal control reduces travel delays and fuel burn while establishing a scalable mega-city model.

Answer

The correct sequence begins with the motivation for deploying AI signal networks, followed by real-time data collection, algorithmic adjustment of traffic lights, and finally the resulting reduction in travel time and broader urban impact.
The correct arrangement reflects the logical narrative structure of the passage: identifying the core problem and solution, capturing real-time traffic data, processing data to optimize signals, and realizing reduced transit times as a scalable urban model.

Step-by-Step Solution

1
Identify the introductory main idea
Recognize that urban gridlock and carbon emissions prompted the adoption of AI-driven traffic systems.
The passage opens by establishing the problem and introducing the technological solution.
2
Trace the technical operational sequence
Place data collection via cameras and sensors immediately before algorithmic processing.
Data must be gathered from road corridors before algorithms can recalibrate signal durations.
3
Identify the outcome and broad conclusions
Position reduced commute times, lower fuel usage, and mega-city scalability as the final point.
The text presents efficiency gains and long-term implications as the final results of the system integration.

Key Concept

Logical synthesis and sequential order in summarization
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Topics

Summary: Paraphrasing, Synthesis, and Conciseness

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