The ‘Congestion Avoidance Dynamic Routing Engine’ (CADRE) uses Artificial Intelligence (AI) to interpret live traffic information shared between vehicles fitted with a special GPS.
The project is part of a consortium, consisting of the University of Portsmouth, ComSine, Smartcom Software, the Transport Research Laboratory, ViaMichelin and Hampshire County Council.
CADRE can sense traffic slowing down and building up into jams and works by ‘monitoring’ other vehicles on the road, informing motorists 5 to 10 miles away of a situation as it’s happening and recommends steps to avoid it while they can.
The AI software is built around ‘fuzzy logic’ which mimics human reasoning. The capability comes from the University of Portsmouth’s Institute of Industrial Research (IIR) which specialises in using artificial intelligence techniques for industrial applications.
Dr David Brown, Head of the IIR, said: “The system interprets live data from current traffic conditions so the motorist receives up-to-the-minute advice and can make an informed choice. It’s designed to take the pain out of that agonising decision about whether to try an alternative route which could be equally congested.”
The system takes into account of how traffic speeds vary by day of the week and time of day and even on individual roads. It means that journey times are predicted more accurately and better routes are calculated that take account of the typical traffic conditions for the time of travel.
CADRE learns constantly from motorists’ incoming data and will adapt itself to long term and short term speed predictions and ever changing circumstances to continuously update and improve its knowledge.
“At present routing can be carried out for minimum time or distance, but this can easily be extended to other criteria such as minimum cost or minimum CO2 emissions,” said Dr Brown.
Over 2,100 journeys were made on routes around Hampshire including the M27, M3, A3 and the notorious M25 to provide data for analysis. Additional speed data came from the British Highways Agency data to form the background knowledge needed within the AI system.
Richard Walker is from the Transport Research Laboratory, formerly the research arm of the Department of Transport, who advised researchers on data sources and the best methods of testing. He said: “The transport system in the UK is one of the key drivers of the economy and with more and more cars on the roads; a system like CADRE would be a valuable tool in keeping traffic moving.”
Future plans for the system would extend it to ferries, trains and even planes allowing travellers to examine different departure times to estimate the best time and route to travel. CADRE could be in the shops in as little as 18 months.
The University of Portsmouth’s technical partners, ComSine and Smartcom Software, both specialise in developing software and systems for the mobile communications, navigation and geographic information markets.
The project was sponsored by the South East of England Development Agency (SEEDA) as part of its role in the Government’s Innovation Platform in Intelligent Transport Systems.
Lisa Egan | alfa
3D scans for the automotive industry
16.01.2017 | Julius-Maximilians-Universität Würzburg
Improvement of the operating range and increasing of the reliability of integrated circuits
09.11.2016 | Technologie Lizenz-Büro (TLB) der Baden-Württembergischen Hochschulen GmbH
More and more automobile companies are focusing on body parts made of carbon fiber reinforced plastics (CFRP). However, manufacturing and repair costs must be further reduced in order to make CFRP more economical in use. Together with the Volkswagen AG and five other partners in the project HolQueSt 3D, the Laser Zentrum Hannover e.V. (LZH) has developed laser processes for the automatic trimming, drilling and repair of three-dimensional components.
Automated manufacturing processes are the basis for ultimately establishing the series production of CFRP components. In the project HolQueSt 3D, the LZH has...
Reflecting the structure of composites found in nature and the ancient world, researchers at the University of Illinois at Urbana-Champaign have synthesized thin carbon nanotube (CNT) textiles that exhibit both high electrical conductivity and a level of toughness that is about fifty times higher than copper films, currently used in electronics.
"The structural robustness of thin metal films has significant importance for the reliable operation of smart skin and flexible electronics including...
The nearby, giant radio galaxy M87 hosts a supermassive black hole (BH) and is well-known for its bright jet dominating the spectrum over ten orders of magnitude in frequency. Due to its proximity, jet prominence, and the large black hole mass, M87 is the best laboratory for investigating the formation, acceleration, and collimation of relativistic jets. A research team led by Silke Britzen from the Max Planck Institute for Radio Astronomy in Bonn, Germany, has found strong indication for turbulent processes connecting the accretion disk and the jet of that galaxy providing insights into the longstanding problem of the origin of astrophysical jets.
Supermassive black holes form some of the most enigmatic phenomena in astrophysics. Their enormous energy output is supposed to be generated by the...
The probability to find a certain number of photons inside a laser pulse usually corresponds to a classical distribution of independent events, the so-called...
Microprocessors based on atomically thin materials hold the promise of the evolution of traditional processors as well as new applications in the field of flexible electronics. Now, a TU Wien research team led by Thomas Müller has made a breakthrough in this field as part of an ongoing research project.
Two-dimensional materials, or 2D materials for short, are extremely versatile, although – or often more precisely because – they are made up of just one or a...
20.04.2017 | Event News
18.04.2017 | Event News
03.04.2017 | Event News
26.04.2017 | Materials Sciences
26.04.2017 | Agricultural and Forestry Science
26.04.2017 | Physics and Astronomy