How to Find the Best Candidate for a Route with time limitations.
In today’s fast-paced world, people are always on the move, and time is of the essence. The need for efficient transportation has never been more critical. This web application aims to solve this problem by finding the ideal driver for a specific route, considering proximity and time frame limitations. Originally designed to supply a niche for scholar services like Uber for kids with special transportation needs, this application can help students with disabilities travel safely and efficiently to and from school. However, it could also be implemented in other environments, providing a simple and efficient way to find the best driver for any specific needs.
Project Description:
This web application is designed to help students with disabilities travel safely and efficiently to and from school. The algorithm considers the number of routes that a driver can do in a day, knowing that the pick-up and drop-off points both have fixed times that need to be fulfilled as precisely as possible. The application will provide users with a list of drivers who can fulfill their requirements, along with their availability and estimated time of arrival.
Originally designed to supply a niche for scholar services like Uber for kids with special transportation needs, this application can help students with disabilities travel safely and efficiently to and from school. However, it could also be implemented in other environments, providing a simple and efficient way to find the best driver for any specific needs.
Opportunity
The transportation industry is a rapidly growing sector, and there is a significant opportunity for this web application to make a difference. With the increasing demand for efficient transportation, this application can help users save time and money by finding the best driver for their specific needs.
The Challenge
Proximity and Time Frame Limitations
The primary challenge of this project is to design an algorithm that can find the best driver for a specific route, considering proximity and time frame limitations. The algorithm must also consider the amount of routes that a driver can do in a day, knowing that the pick-up and drop-off points both have fixed times that need to be fulfilled as precisely as possible.
The Solution
Finding the Ideal Driver
This web application will use a sophisticated algorithm that takes into account the proximity and time frame limitations of the user’s route. The algorithm will also consider the amount of routes that a driver can do in a day, ensuring that the pick-up and drop-off points are fulfilled as precisely as possible. The application will provide users with a list of drivers who can fulfill their requirements, along with their availability and estimated time of arrival.
Technologies Used:
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