• Conference Object  

      Bayesian estimation of the Origin-Destination matrix using traffic flow dynamics 

      Englezou, Y.; Timotheou, Stelios; Panayiotou, Christos G. (2019)
      Origin-destination (O-D) matrices are essential inputs to dynamic traffic assignment and traffic simulation models and important tools to transportation planning. We present a novel approach for static O-D matrix estimation ...
    • Article  

      Distributed Contaminant Detection and Isolation for Intelligent Buildings 

      Kyriacou, Alexis; Michaelides, Michalis P.; Reppa, Vasso; Timotheou, Stelios; Panayiotou, Christos G.; Polycarpou, Marios M. (2018)
      The automatic preservation of the indoor air quality (IAQ) is an important task of the intelligent building design in order to ensure the health and safety of the occupants. The IAQ, however, is often compromised by various ...
    • Article  

      Drones: Augmenting Our Quality of Life 

      Kyrkou, Christos; Timotheou, Stelios; Kolios, Panayiotis; Theocharides, Theocharis; Panayiotou, Christos (2019)
      Drone technology that has the potential to disrupt and augment our quality of life is swiftly evolving. Drones are rapidly growing in popularity and are used in various applications, such as agriculture, emergency response, ...
    • Conference Object  

      Effective Multi-region Traffic Control and Demand Management Using an Overlay Route-Reservation Scheme 

      Menelaou, C.; Kolios, P.; Timotheou, Stelios; Panayiotou, Christos G. (2018)
      In this work, we assume that a heterogeneous urban area is partitioned into multiple homogeneous regions. The proposed approach creates an overlay graph which is used by the reservation architecture to control the traffic ...
    • Article  

      Effective Prediction of Road Segment Occupancy for the Route-Reservation Architecture 

      Menelaou, C.; Kolios, P.; Timotheou, Stelios; Panayiotou, Christos G. (2018)
      The effect of traffic congestion within an urban region can be eliminated by curbing the number of vehicles that use the congested part of the transport network. To do so, earlier work by the authors introduced a novel ...
    • Conference Object  

      Estimating the Critical Density of Road Transportation Networks using Infinitesimal Perturbation Analysis of Hybrid Systems 

      Menelaou, C.; Timotheou, Stelios; Kolios, P.; Panayiotou, Christos G. (2018)
      In this paper, we adobe the Stochastic Fluid Modeling framework to model the critical density of a road network and we employ the route-reservation scheme (as proposed in [1], [2]) to control traffic for a congestion-free ...
    • Book Chapter  

      Harnessing Interference in SWIPT Systems 

      Timotheou, Stelios; Zheng, Gan; Masouros, Christos; Krikidis, Ioannis (John Wiley & Sons, Ltd, 2018)
      This chapter introduces the adaptation of the conventional simultaneous wireless information and power transfer (SWIPT) beamforming to the case of symbol-level precoding in order to harness interference for both information ...
    • Conference Object  

      Interval State Estimation of Hydraulics in Water Distribution Networks 

      Vrachimis, S.G.; Timotheou, Stelios; Eliades, D.G.; Polycarpou, Marios M. (2018)
      Water distribution networks are critical infrastructure systems, which are required to reliably deliver water to consumers. Hydraulic state estimation of flows and pressures is key for the efficient and dependable operation ...
    • Article  

      Iterative Hydraulic Interval State Estimation for Water Distribution Networks 

      Vrachimis, Stelios G.; Timotheou, Stelios; Eliades, Demetrios G.; Polycarpou, Marios M. (2019)
      State estimation of hydraulics (i.e., pressure and flows) in water distribution networks is an important tool for efficient and resilient operation. However, hydraulic state estimation is a challenging task in practice due ...
    • Conference Object  

      Joint route guidance and demand management for multi-region traffic networks 

      Menelaou, C.; Timotheou, Stelios; Kolios, P.; Panayiotou, Christos G. (2019)
      Traffic congestion occurs as demand surpasses the available capacity of a road network, resulting to lower speeds and longer journey times
    • Article  

      Minimizing Traffic Congestion Through Continuous-Time Route Reservations With Travel Time Predictions 

      Menelaou, Charalambos; Timotheou, Stelios; Kolios, Panayiotis; Panayiotou, Christos G.; Polycarpou, Marios M. (2019)
      Road traffic congestion occurs as demand exceeds infrastructure's capacity. In this paper, we propose a continuous-time route reservation architecture to efficiently manage vehicle routing decisions thus to eliminate ...
    • Conference Object  

      Optimization Based Partitioning Selection for Improved Contaminant Detection Performance 

      Kyriacou, Alexis; Timotheou, Stelios; Reppa, Vasso; Boem, Francesca; Panayiotou, Christos; Polycarpou, Marios; Parisini, Thomas (2018)
      Indoor Air Quality monitoring is an essential ingredient of intelligent buildings. The release of various airborne contaminants into the buildings, compromises the health and safety of occupants. Therefore, early contaminant ...
    • Conference Object  

      Optimization of observer design for sensor fault detection of nonlinear systems 

      Reppa, Vasso; Timotheou, Stelios; Polycarpou, Marios M.; Panayiotou, Christos G. (2017)
      This paper presents an optimization methodology for the design of an observer-based sensor fault detection scheme for a class of nonlinear systems. Taking into account bounded system disturbances and measurement noise, we ...
    • Conference Object  

      Optimization-based Highway Traffic State Estimation with Bound Guarantees 

      Timotheou, Stelios; Panayiotou, Christos; Polycarpou, Marios (2018)
      Uncertainty about the system behaviour and the sensor measurements hinders reliable traffic state estimation, affecting various transportation operations, especially traffic control and incident detection. This work proposes ...
    • Conference Object  

      Optimized vision-directed deployment of UAVs for rapid traffic monitoring 

      Kyrkou, Christos; Timotheou, Stelios; Kolios, Panayiotis; Theocharides, Theocharis; Panayiotou, Christos G. (2018)
      The flexibility and cost efficiency of traffic monitoring using Unmanned Aerial Vehicles (UAVs) has made such a proposition an attractive topic of research. To date, the main focus was placed on the types of sensors used ...
    • Article  

      Optimizing Container Loading With Autonomous Robots 

      Stavrou, Demetris; Timotheou, Stelios; Panayiotou, Christos G.; Polycarpou, Marios M. (2018)
      In this paper, we investigate a problem associated with transferring a set of containers from the storage to the loading area of a warehouse using autonomous robots. In addition to assigning robots to containers, the special ...
    • Article  

      Optimizing the Detection Performance of Smart Camera Networks Through a Probabilistic Image-Based Model 

      Kyrkou, Christos; Christoforou, Eftychios G.; Timotheou, Stelios; Theocharides, Theocharis; Panayiotou, Christos; Polycarpou, Marios (2018)
      Networks of smart cameras, equipped with on-board processing and communication infrastructure, are increasingly being deployed in a variety of different application fields, such as security and surveillance, traffic ...
    • Article  

      Optimizing the Detection Performance of Smart Camera Networks Through a Probabilistic Image-Based Model 

      Kyrkou, Christos; Christoforou, Eftychios G.; Timotheou, Stelios; Theocharides, Theocharis; Panayiotou, Christos; Polycarpou, Marios (2018)
      Networks of smart cameras, equipped with on-board processing and communication infrastructure, are increasingly being deployed in a variety of different application fields, such as security and surveillance, traffic ...
    • Conference Object  

      Optimizing the trade-off between fuel consumption and travel time in an unsignalized autonomous intersection crossing 

      Hadjigeorgiou, Andreas; Timotheou, Stelios (2019)
      Connected and autonomous vehicles (CAVs) have the potential to disrupt road transportation. CAVs provide several attractive features, such as seamless connectivity and fine-grained control, which can be exploited to improve ...
    • Conference Object  

      Path-based joint demand management and route guidance for multi-region traffic networks 

      Menelaou, C.; Timotheou, Stelios; Kolios, P.; Panayiotou, Christos G.; Polycarpou, Marios M. (2019)
      This work investigates the joint optimization problem of demand management and route guidance to minimize the time spent of vehicles in traffic networks characterized by well-defined regional fundamental diagrams. To account ...