UCY’s KIOS wins award for intelligent transportation networks
A team from KIOS Research Center for Intelligent Systems and Networks at the University of Cyprus, won second place at the international competition organised by the Autonomic Road Transport Support Systems COST Action, aiming at increasing the resilience of road traffic support systems by the use of autonomics.
The competition, which was co-located with the 22nd ITS (Intelligent Transportation Systems) World Congress, was conducted in Bordeaux, France, on October 5. Eight research teams from European universities were selected to compete at the final stage of the competition, where they presented and demonstrated the autonomic systems they developed. Assessment criteria included the degree of resilience, degree of autonomicity, innovation, potential impact to future ITS and technical quality.
The KIOS team was composed of researchers Dr. Stelios Timotheou, Charalambos Menelaou and Dr. Panayiotis Kolios, as well as Professors Christos Panayiotou and Marios Polycarpou.
fault- adaptive traffic state estimation under measurement faults. The system is able to provide real-time estimation of the traffic conditions of different road links that is resilient to situations where a portion of the available measurement devices provide faulty information. In addition, the system can autonomically identify the faulty sensors and estimate the measurement fault magnitude.
Providing reliable real-time traffic state estimation is crucial in a plethora of applications which aim at improving the efficiency of transportation networks, including traffic signal control and dynamic route planning. Advanced technology in this area will result in substantial traffic congestion relief, leading eventually to the decrease of travel time, fuel consumption and greenhouse gas emissions, improving the quality of life in general.
This research work, conducted as part of the ERC Advanced Grant “Fault-Adaptive”, reflects KIOS’s efforts to be internationally recognised as a leading research centre in the area of fault-diagnosis in critical infrastructure systems, including intelligent transportation systems.