High-Density Routing – Large Route Optimization With Dense Address Clusters

Planning large, high-density routes without overlapping route paths is a monumental challenge for any large enterprise business in 2024. Regular final mile route planning and optimization is already complicated by the Traveling Salesman Problem (TSP) and Vehicle Routing Problem (VRP), but it becomes nearly impossible when you add hundreds or thousands of addresses to the mix.

In this guide, you can learn how to use Route4Me’s high-density routing to plan multiple big non-overlapping routes with optimal destination clustering from a large address dataset and compare regular last mile routes to high-density routes.

Route4Me's high-density routing enables you to use large address datasets for big route optimization without overlapping routes with optimal address density and clusterization.

 

 

Enable High-Density Routing On Your Route4Me Account

Normally, when you plan routes of any size using Route4Me’s final mile optimization software, those routes are allowed to overlap to achieve the most optimal route travel time and distance. This can make big routes, with hundreds or thousands of destinations, more difficult to visualize and manage, and can introduce difficulty when you track assets on routes in real-time.

With high-density routing enabled, the system uses smart clustering algorithms to plan routes with the optimal density without any overlap. This way, routes you plan won’t intersect and still maintain the best possible travel time and distance. To enable high-density routing on your account, contact Route4Me support.

With high-density routing enabled, Route4Me's software uses smart clustering algorithms to plan routes with the optimal density without any overlap.

 

Plan High-Density Routes With Clustered Addresses

When high-density address routing is enabled on your account, no special action is required to plan clustered routes. You can simply plan multiple routes from a set of addresses as usual, and Route4Me’s final mile software will automatically cluster addresses into non-overlapping routes according to your preferences. NOTE: To allow routes to overlap and not apply dense clustering to your routes, contact Route4Me support to disable high-density routing.

To gain more control over how your routes are optimized, you can use Route4Me’s Optimization Profiles and Business Rules. Any time you plan routes, you can also modify optimization settings manually. Adjust parameters such as the maximum number of routes to plan or max destinations per route, vehicle capacity constraints, and much more. To do so, click “Skip” when asked to pick an Optimization Profile and go to the “Optimization” tab to manually adjust optimization settings.

To gain more control over how your routes are optimized, you can use Route4Me's Optimization Profiles and Business Rules.

 

Compare Regular Routes VS High-Density Routes

On the image below, you can see a comparison of how large routes are planned with regular routing and how high-density routing optimizes clustered, non-overlapping routes. Normally, routes are optimized independently of each other, following the optimal destination sequence to minimize travel time and distance. With high-density routing, the system avoids overlapping route paths while planning the most optimal high-density routes.

Normally, routes are optimized independently of each other, following the optimal destination sequence to minimize travel time and distance. With high-density routing, the system avoids overlapping route paths while planning the most optimal high-density routes.

 

 

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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.