Shuttle Fleet Operation Optimization
Budget: €250 – €750 EUR
Project: Daily Shuttle Route Optimization Using OR-Tools or Similar
We need an algorithm to optimize the daily route planning for a fleet of X shuttle vehicles. Each day, the system will generate the plan for the following day based on predefined trips.
Problem Description:
We have 20 vehicles available for daily shuttle operations.
Each trip request includes a departure location, a destination, and a specific arrival time (e.g., "Depart from A at 9:00 AM and arrive at B by 10:00 AM").
The travel times between locations are fixed and do not change daily.
There are around 200 trip requests per day, but this number should be configurable.
The goal is to assign all trips to the available vehicles while:
Minimizing total travel time and distance
Maximizing vehicle utilization (keeping drivers working efficiently within an 8 AM - 8 PM shift)
Ensuring all trips are completed within their required timeframes
Requirements:
The number of vehicles, trips, and time constraints should be configurable parameters.
Route data should be imported from an external source, such as an Excel file.
The algorithm should be developed using OR-Tools or a similar optimization framework.
The solution should be scalable and efficient, considering real-world constraints.
If you have experience in route optimization, OR-Tools, and vehicle scheduling algorithms, we would love to hear from you!
We need an algorithm to optimize the daily route planning for a fleet of X shuttle vehicles. Each day, the system will generate the plan for the following day based on predefined trips.
Problem Description:
We have 20 vehicles available for daily shuttle operations.
Each trip request includes a departure location, a destination, and a specific arrival time (e.g., "Depart from A at 9:00 AM and arrive at B by 10:00 AM").
The travel times between locations are fixed and do not change daily.
There are around 200 trip requests per day, but this number should be configurable.
The goal is to assign all trips to the available vehicles while:
Minimizing total travel time and distance
Maximizing vehicle utilization (keeping drivers working efficiently within an 8 AM - 8 PM shift)
Ensuring all trips are completed within their required timeframes
Requirements:
The number of vehicles, trips, and time constraints should be configurable parameters.
Route data should be imported from an external source, such as an Excel file.
The algorithm should be developed using OR-Tools or a similar optimization framework.
The solution should be scalable and efficient, considering real-world constraints.
If you have experience in route optimization, OR-Tools, and vehicle scheduling algorithms, we would love to hear from you!