Project Description for Uber
Explore how to optimize Uber's driver allocation by selecting nearby drivers, calculating travel costs affected by rain, and converting fares into words. Learn to implement ride-sharing routes, driver ranking adjustments, and shortest path calculations. This lesson builds foundational skills for solving real-world coding problems related to dynamic route planning and resource allocation.
We'll cover the following...
Introduction
Uber is the largest ride-hailing company in the world. They provide services like food and items delivery in addition to the primary service of passenger pick up and drop off. Their user base in terms of consumers and drivers is growing significantly. So, the engineering team at Uber keeps trying to find better ways to efficiently allocate nearby drivers to users.
The scenario and the problems discussed in this chapter discuss efficient driver allocation functionality and how we can improve it.
Statement
Imagine you are a developer on the Uber engineering team. The team is targeting some optimizations in driver allocation to rides as well as accessibility features for the client application. wants to ...