Project Summary
This project focuses on the development of an alternative logistics system that minimises CO2 emissions and its impact on the strategic road transportation network. Customers will enjoy rapid delivery of their goods, at competitive prices, whilst knowing that they have also contributed to the reduction of CO2 emissions. In this project, a suite of tools will be developed to enable real-world, optimised solutions to be found within a complex set of constraints from the current challenges on planning and executing the delivery of goods.
Project Achievements
Project Activity • Developed an Artificial Intelligence to enable real-world, optimised solutions against a complex set of constraints inherent in the planning and delivery of goods. • The AI was initially optimised using simulated data – to test its capability in producing optimised solutions. The AI was shown to be effective in achieving this, with a good balance of computational load. • Subsequently used real-world data as the input to ensure that the AI algorithm can still produce high quality outputs. This was demonstrated in a case study where a minimum saving of 7 Tonnes of CO2 could be achieved for 20,000 deliveries. • Conducted customer surveys and interviews to confirm a number of hypotheses resulting in the fine-tuning of our exploitation plan following the completion of the T TRIG funded project.
Next Steps
What Next? The development funded by the T-TRIG programme has put Anteam in a strong position to attract further funding for follow-on development and the ultimate launch of a product into the market. We are currently seeking seed funding from venture capital investors and other sources and, if successful, we will be able to make an impact in the reduction of CO2, air pollution and traffic congestion of the logistics sector. An example of the user interface of the transportation logistics network.
