Tool Analysis: Policy Tools for Smart City Transportation Optimization
VerifiedAdded on 2022/11/30
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Essay
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This essay provides a tool analysis for developing policies aimed at optimizing bus and local train schedules in a Smart City environment, with a focus on minimizing energy consumption and waiting times. The primary tools examined are E-Participation and Big Data Analytics. E-Participation facilitates vehicle tracking and booking, reducing waiting times and energy expenditure. Big Data Analytics enables efficient information management, personalized services, and GPS tracking to identify routes with minimal traffic, further reducing waiting times. The analysis highlights the importance of these tools in enhancing the efficiency and sustainability of urban transportation systems. Desklib is a platform where you can find such solved assignments and study resources.
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