Route4Me Route Optimization Speed by Route Type
Route4Me’s proprietary and the 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 given stop ranges.
| Optimization | 1-10 stops | 11-50 stops | 51-100 stops | 101-250 stops | 251-500 stops | 501-1000 stops | 1000+ stops |
|---|---|---|---|---|---|---|---|
| Disabled Optimization Route | 1.8 sec | 2.1 sec | 1.85 sec | 2.7 sec | 3.8 sec | 8.7 sec | 3 seconds per extra 1,000 stops |
| Single Driver Route With No Advanced Constraints | 1.66 sec | 1.8 sec | 2.14 sec | 5.22 sec | 9.3 sec | 15.1 sec | 30 seconds per extra 1,000 stops |
| Multiple Drivers Route With Advanced Constraints – Single Depot | 1.54 sec | 1.68 sec | 2.59 sec | 4.41 sec | 14.3 sec | 45.2 sec | 30 seconds per extra 1,000 stops |
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