Researchers at Aston University have claimed commercial fleets could halve their emissions and better meet clean air targets using new technology which imitates how ants share knowledge and scales it up to optimise routes around busy cities.
The software, which has been developed and tested by computer scientists in the college of engineering and physical sciences under the Think Beyond Data initiative, uses route optimisation to intelligently direct fleets from the same company around a city or town - slashing their vehicle emissions in half - while also saving them time and fuel costs.
Part-funded by the European Regional Development Fund (ERDF), the researchers based their computer modelling algorithm on the way ants forage for food to schedule tasks to vehicles in a fleet and optimise their routes. The software can be installed on a laptop and business owners can then use the system to optimise their own routes based on their daily needs.
They claim the approach will help towns and cities to meet clean air targets and offer an alternative measure to establishing Clean Air Zones.
The research used a technique known as ‘meta-heuristic technology’ which mimics how colonies of ants solve problems and improves upon their existing behaviour. Each ant keeps a record of the best solution it has individually found and passes on this knowledge to other ants. This ‘best practice’ then permeates throughout the colony, updating its store of know-how in a way comparable to computer algorithms.
The researchers further developed the technique by creating even ‘smarter’ ant algorithms by reducing the amount of decisions they make such that they can solve city-scale fleet routing problems.
“Algorithms based on the foraging behaviour of ants have long been used to solve vehicle routing problems, but now we have found how to scale these up to city-size fleets operating over several weeks in much less time than before," explained Dr Darren Chitty, lead researcher at Aston University.
“It means much larger fleet optimisation problems can be tackled within reasonable timescales using software a user can put on their laptop.”
The route optimisation technology was tested on several Birmingham companies that operate fleets of vehicles to help them minimise their road usage.
Tests with a city maintenance company comprised of up to 45 vehicles and 437 customer jobs over a six-week period. They observed savings of over 50% over the company’s original time spent on the road. This enabled the maintenance company to make equivalent savings in their fuel costs, boost profit margins, whilst cutting vehicle emissions in half.
“We feel that while Clean Air Zones will improve air quality for some residents, there could be better ways to tackle the health and environmental problems caused by emissions," Dr Chitty added. "Instead of taxing commercial vehicles to enter these zones, our research can act as an incentive to companies as they will not only reduce emissions but also save money.
“If all companies in a city operated with this technology, then emissions from these vehicles - which are some of the most polluting - could be significantly reduced, improving air quality for all concerned."
The scientists were able to reduce CO2 emissions by 4.25 kg per van per day and reduce more harmful emissions such as nitrous oxide by 98-grams per van per day from a fleet of vehicles tested in Birmingham.
The improved schedules were able to service all the required customer demand but with fewer vehicles. This came as a direct result of better routing, saving time for the fleet, but also taking some vehicles off the road altogether, reducing traffic and congestion.
The researchers found the new system could be extremely beneficial to cities establishing Clean Air Zones in order to meet the objectives of the Government’s clean air strategy, which aims to cut particulate matter emissions by 46% by 2030.
The researchers are now looking to roll out the technology further by testing the system with different types of vehicle fleets such as larger vans or HGVs, as well as larger fleets of vehicles.
The team will continue to approach other companies to use as a test bed for the technology as the project is funded for another two years.
