Browsing by Author "Timotheou, Stelios"
Now showing items 1-20 of 23
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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 ...
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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 ...
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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, ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...