Route4Me Route Optimization Speed by Route Type

Route4Me’s proprietary and patented optimization algorithm is designed to solve all types of complex routing problems in the smallest amount of time possible.

The optimization process includes multiple stages, such as geocoding imported addresses, generating addresses from coordinates, correcting incomplete addresses, applying road, fleet, or team constraints, generating driving, walking, or bicycling directions, etc. Therefore, when optimizing your routes, Route4Me’s optimization engine computes through millions of possible routing scenarios to output the most cost-effective and time-efficient results.

Route4Me is completely cloud-based, allowing you to optimize hundreds of thousands of addresses without your hardware impacting the optimization performance and speed. Depending on the defined optimization parameters and business constraints, your routes’ optimization speed can differ accordingly. The table below provides the Average Route Optimization Speed of different routing scenarios with the give stops ranges.

 

 1-10 stops11-50 stops51-100 stops101-250 stops251-500 stops501-1000 stops1000+ stops
Disabled Optimization Route (learn more)1.8sec2.1sec2.3sec2.9sec3.8sec8.7sec3 seconds per extra 1,000 stops
Single Driver Route With No Advanced Constraints (learn more)2sec2.2sec2.7sec3.5sec9.3sec15.1sec30 seconds per extra 1,000 stops
Multiple Drivers Route With Advanced Constraints – Single Depot (learn more)2.2sec2.5sec3.7sec6.2sec14.3sec45.2sec30 seconds per extra  1,000 stops

 

Was this article helpful?
Still can't find what you're looking for? Contact us
Route4Me

About Route4Me

Route4Me has over 34,000 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.