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Route Optimization API

Vehicle routing with cargo bikes and small trucks

This article shows how to solve a time-dependent vehicle routing problem with cargo bikes and small trucks with GraphHopper’s Optimizaton API. Lets assume that you want to solve a vehicle routing problem with a mixed fleet. The fleet consists of cargo bikes and small trucks, and you want to employ the fleet such that products […]

Assign geo locations to roads and its impacts on route optimization

These are the three basic steps to solve a real world vehicle routing problem with GraphHopper’s Optimization API: 1) Assign geo locations to (road) network 2) Calculate travel times and distances 3) Solve vehicle routing problem Each step impacts the solution of the vehicle routing problem. This article illustrates how 1) – the assignment of […]

Balance load among all vehicles

Load balancing in the context of vehicle routing problems is a way to achieve a more evenly distribution of jobs or activities over your drivers’ routes. There are a number of reasons to balance load. The most obvious ones are resource utilization and fairness. Why do we need a blog post for this? Why aren’t […]

Time-Dependent Route Optimization API

We are happy to announce our new product: time-dependent route optimization. To illustrate what this actually means, let us assume we have a number of drivers who need to serve 40 customers in London within a time window of 2 hours. All drivers start from the airport London Heathrow and do not need to return […]