Method and device for determining a configuration for deployment of a public transportation system

This invention describes a way to plan an electric public transportation system. It uses timetables and geographical routes to figure out the ideal number of electric buses, the size of their batteries, and where to place charging stations. The system can also incorporate additional details like historical weather, elevation, and traffic data to refine its calculations, aiming to optimize battery life and power consumption.

Why it matters: Filed before the widespread availability of robust, scalable cloud computing platforms for integrating and processing diverse, large datasets. Modern big data analytics and machine learning tools can now handle the complex optimization required for this system more efficiently.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, data processing, optimization algorithms

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