BOSCH-Route-Optimization-INTERIIT

Route Optimization which is based on Genetic Algotrithm and Tabu Search in order to find the best possible paths in order to pickup employees in certain time window.

PROBLEM STATEMENT

• Given number of buses, passenger and bus stop locations. Develop a route optimization algorithm to determine route and schedule of buses subject to the provided constraints.
• System should cater to the real time changing demand of employees
• Both pickup and drop routes should be generated
• Heterogeneous Fleet of buses are considered

Objective

• Minimize Operational Cost
• Fuel cost is the dominant factor
• Best measured by time

Constraints

• Number of Buses (hard)
• Bus Capacity (heterogeneous fleet, hard)
• Time window to reach office (hard)
• Time Window created using employee’s time windows (both hard and soft)
• Maximum Riding Time (hard)
• Minimum Occupancy (both hard and soft)

Inputs

• Can be done manually
• Excel csv sheets is used to feed

How to start

• "python manage.py runserver"