Single Depot, Single Driver Route Optimization (No Constraints)

This route optimization mode is ideal for simple delivery operations that start and end at a single depot using one driver and vehicle. It assumes no time windows, vehicle capacities, or other constraints, making it the most streamlined version of route planning. The system’s goal is to generate the most efficient travel path, either by time or distance.

Route4Me simulation of an optimized delivery route using just one driver and no constraints.

 

Route Optimization Simulation – Single Driver, No Constraints

 

This simulation demonstrates how Route4Me automatically sequences stops to minimize travel time or mileage.

It solves a basic version of the Vehicle Route Problem (VRP), closely related to the Traveling Salesman Problem (TSP), by calculating the most efficient stop order for a single vehicle without any external limitations.

All addresses are considered equally available, and the route begins and ends at the depot. With no time windows, capacity restrictions, or scheduling rules, the algorithm focuses purely on routing efficiency.

As a result, even routes with dozens of stops can be optimized in just a few seconds.

 

Benefits Of Constraint-Free Route Optimization

This type of optimization is especially useful when speed and simplicity are top priorities.

Since the algorithm doesn’t need to account for delivery windows or vehicle limitations, it can return optimized routes in seconds, even for schedules with 50 or more addresses.

This enables dispatchers and planners to make fast, informed decisions without manual adjustments or delays, saving time during high-volume delivery days.

 

Use Cases – Single Driver, Single Depot Delivery Routes

This mode is ideal for:

  • Local businesses with simple delivery runs
  • Field technicians whose visits can occur in any order
  • Couriers completing flexible pickups or drop-offs

This mode simplifies route planning for straightforward deliveries, enabling fast decision-making and efficient route deployment.

 

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About author: Daniel Archer

With a background in pedagogy and writing instruction, Daniel is a former tenured English Instructor who, after nearly 20 years of teaching, transitioned into content strategy and leading writing teams for global brands. Now, as Technical Documentation Manager at Route4Me, he translates complex logistics technology into clear, accessible content that empowers users.

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About Route4Me

Route4Me has over 40,000 customers globally. Route4Me's Android and iPhone mobile apps have been downloaded over 2 million times since 2009. Extremely easy-to-use, Route4Me's apps create optimized routes, synchronize routes to mobile devices, enable communication with drivers and customers, offer turn-by-turn directions, delivery confirmation, and more. Behind the scenes, Route4Me's operational optimization platform combines high-performance algorithms with data science, machine learning, and big data to plan, optimize, and analyze routes of almost any size in real-time.