User Map Clustering – Routes Map GPS Tracking Settings

With Route4Me, you can build a well-structured and easily-manageable network of users where each member can have a dedicated role within your organization with an adjustable set of permissions. To make sure that your entire routing operation is running according to plan and your drivers don’t deviate from their routes, Route4Me allows you to track each member of your team on the interactive map in near real-time (learn more), as well as view their tracking history on any route for any time interval as a tracking trail or a real-time retrospective movie (learn more). Depending on the size of your business and the number of members in your organization, you may need to simultaneously track multiple users on the map in near real-time (learn more). For more convenience and visualization purposes, Route4Me’s interactive map allows you to enable the user clustering for gathering all members that are located in close proximity to each other into number-coded clusters. Thus, for example, when you have multiple users driving their routes in different service areas, instead of having numerous icons one on top of another cluttering your map, you can view all your team members on the map as convenient clusters with a number of members located in each area.

 

To simultaneously track multiple team members on the interactive map in near real-time, first, go to the Routes Map from the navigation menu. Next, select the routes to which the members you want to track are assigned by checking the corresponding boxes. On the Routes Map, when a route has a team member assigned to it, the email of this team member is displayed in the “User” column and next to this route accordingly.

User Clustering – Using the Map Clustering When Tracking Multiple Team Members on the Interactive Map in Near Real-Time

 

On the Routes Map, to display the current location of the members assigned to the selected routes, first, click on “Tracking” in the top right corner of the map and then select “Users” from the menu. After that, the list of all members in your team will be displayed in the menu on the right and the current location of each assigned member will be represented on the map by a truck icon/tracking icon (learn more). The truck icon can move across the interactive map in near real-time following the live location of the associated member. Depending on your telematics service provider, the tracking icon can be customized accordingly (learn more).

User Clustering – Using the Map Clustering When Tracking Multiple Team Members on the Interactive Map in Near Real-Time

 

To enable the User Clustering, first, go to “Tracking” in the top right corner of the map and then select “Clustering” accordingly. After that, when the User Clustering and near real-time tracking are enabled and you zoom out on the Routes Map, all members that are located in close proximity to each other on the map are gathered into user clusters for more convenient visualization and tracking.

User Clustering – Using the Map Clustering When Tracking Multiple Team Members on the Interactive Map in Near Real-Time

 

Members that don’t have other members in their close proximity are displayed on the map as a single tracking icon (truck icon).

User Clustering – Using the Map Clustering When Tracking Multiple Team Members on the Interactive Map in Near Real-Time

 


 

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

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.