Cargo simulation for lower CO2 emissions in logistics

Due to the CO2 tax, among other things, minimizing CO2 emissions is now a top priority for many logistics companies. Important measures include, for example, optimized routes, the use of combined transport, and improved vehicle utilization.

But which reduction strategy makes sense when? And how can different solutions be combined? Questions like these can be answered by simulation.

Decision making through simulation

Simulation is the realistic representation of a system, with the help of which factors and their effects can be modeled. In our case, the simulation of supply chains allows us to experiment with different measures in order to derive the best strategy for CO2 reduction.

Simulations are thus an efficient tool for decision-making. The prerequisite for being able to create such a simulation model is sufficient data - such as telematics data (see: Calculating your own CO2 emissions - why emissions data is essential). 

Cargo simulation for intermodal transport

As logistics experts, we at Trustbit are also concerned with the topic of CO2 reduction. With our Cargo Simulator we pursue the goal of creating a simulation model for intermodal transport. As historical data we use among others GPS positions including time information[mio1]. However, in a holistic model, factors such as weather and traffic conditions should also be included to simulate trip duration, risk of delays and CO2 emissions.

In this way, various scenarios can be modeled to determine which route with which mode of transport results in the most CO2 savings.

 [mio1]Link to Daniel's blogpost