innovITS ADVANCE HOSTS DEMONSTRATION OF NEXT-GENERATION TRAFFIC CONTROL FOR BBC’S “THE ONE SHOW”
The edition of the BBC’s prime time evening magazine programme broadcast on Thursday August 23rd, included a feature filmed at innovITS Advance, highlighting research carried out by the University of Southampton into the application of ‘machine learning’ approaches to the optimization of traffic signal control.
The research carried out by the team from the University of Southampton has been using computer games and simulations to investigate what makes good traffic control. This work has shown that – given the right conditions – humans are excellent at controlling the traffic but that it is difficult to get a computer programme to perform at the same level. To demonstrate this finding, the traffic lights at one of the main junctions of the innovITS Advance circuit were controlled first by a computer and then by a human, while 30 volunteer drivers tried to negotiate the junction. The result was a win for human based control of the signals, with longer delays for computer based control. The researchers from University of Southampton have now developed "machine learning" traffic control computers that can learn how to control the lights like a human would and even learn their own improved strategies through experience.
"In transport research we are always looking ahead, and we can consider a future where all vehicles are equipped with WiFi and GPS and can transmit their positions to signalized junctions,” explains Dr Simon Box of the University of Southampton Transport Research Group. “This opens the way to the use of artificial intelligence approaches to traffic control such as machine learning. The demonstration carried out at innovITS Advance for BBC’s The One Show, indicates that the human brain, carefully employed, can be an extremely effective traffic control computer. In our research we aim to be able to emulate this approach in a new kind of software that can provide significant benefits in improving the efficiency of traffic flow, hence improving road space utilization, reducing journey times and potentially, improving fuel efficiency.”
“We were pleased to be able to host this demonstration by the team from Southampton University,” said innovITS Advance operations manager Catherine Ferris. “The development of artificial intelligence based approaches to junction control is one of many new and promising technologies that can help us make better use of existing urban and road capacity while reducing the environmental impacts of road traffic. The highly controllable innovITS Advance circuit – where roads, WiFi mesh, mobile phone networks, and even GPS reception, can be controlled in a manner that would be impossible on the public roads – provides an excellent environment in which such new technologies can be developed and perfected before their commercial implementation.”