Cargo Sign’s Post

Cargo Sign product owner Simonas Niedvaras and his #team, with the help of Lithuanian #logistics #provider cargoGO, ran the first #CO2 #calculation tests using #eCMR data. This test is unique because CO2 calculation is a #byproduct of eCMR prefilling. This means that whether machines or humans prefill the eCMR, #carbonemission are calculated automatically from the prefilling data. To ensure market-compliant tools, CargoSign equipped the eCMR with UNECE: Working Party on Regulatory Cooperation and Standardization Policies (WP.6) #standards developed by the EU Working Group SC.1. The #calculator is prototyped and awaiting accreditation following #GLEC and #ISO14083:2023 standards for #Scope3 CO2 #reporting. The tests revealed quite expected and relevant information. Below are the testing conditions and results: Testing Conditions: ✅ Twelve eCMRs (twelve trips) were prefilled. ✅ eCMRs were prefilled manually by a human. ✅ #Carbon #emissions were tested for the same #route with the same #truck. ✅ Since it was an ideal #roundtrip, no #empty #kilometers were performed (the CO2 calculator is capable of calculating CO2 emissions for #emptykilometers as well). ✅ The route was Germany-Italy (specific details are omitted to respect customer #business #disclosure rights). ✅ No #milkruns were performed; loads were considered #FTL (the calculator can also calculate and #split CO2 shares for separate #consignments). ✅ Three approaches were employed to calculate carbon emissions: #route #planner (Google Maps), #telematics, and eCMR with integrated CO2 calculator using telematics data. Testing Results: ❌ Two out of twelve calculations appeared to be faulty due to human prefill errors. ⚠ There were four human errors during the eCMR prefilling process. ✅ The approach using Google Maps as a route planner revealed 6.713% less CO2 emissions compared to primary data calculations. ✅ The eCMR calculation (based on GLEC and ISO standards) approach had a deviation of 1.079% less. ✅ Using #primarydata (telematics) revealed the #highest #carbon #emissions. ⚠ The loading address accuracy had a deviation of 6 kilometers due to a faulty postal code entered in the eCMR. ✅ eCMR and telematics calculations were performed with real #truck #odometer #readings. ✅ #Fuel #consumption was calculated based on #default #values from The International Council on Clean Transportation. The testing activities are performed in the frame of project activities related to the Lithuanian pilot in the ADMIRAL project. The #eCMR #tool is developed for better data retrieval and accuracy, notably with respect to CO2 calculation for #road #transportation and will be finalized until 2026.” More testing information is coming; follow us on LinkedIn.

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