Examinando por Autor "Arriandiaga Laresgoiti, Ander"

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    Ítem
    Optimizing road traffic surveillance: a robust hyper-heuristic approach for vehicle segmentation
    (Institute of Electrical and Electronics Engineers Inc., 2024) Rodríguez Esparza, Erick; Ramos Soto, Oscar; Masegosa Arredondo, Antonio David; Onieva Caracuel, Enrique; Oliva, Diego; Arriandiaga Laresgoiti, Ander; Ghosh, Arka
    Due to rising consumer demand and traffic congestion, last-mile logistics is becoming more challenging. To optimize urban distribution networks, digital image processing plays a key role in addressing these challenges through efficient traffic monitoring systems, an essential component of intelligent transportation systems. This paper introduces the Hyper-heuristic Genetic Algorithm based on Thompson Sampling with Diversity (HHGATSD), a novel approach to efficiently solving complex optimization and versatility problems in image segmentation. We evaluate its efficiency and robustness using the IEEE CEC2017 benchmark function set in general optimization problems with 30 and 50 dimensions. HHGATSD's applicability extends beyond optimization to computer vision in traffic management. First, the multilevel thresholding segmentation is performed on images extracted from the Berkeley Segmentation Dataset with minimum cross-entropy as the objective function, and its performance is compared using PSNR, SSIM, and FSIM metrics. Following that, the proposed methodology addresses the task of vehicle segmentation in traffic camera videos, reaffirming HHGATSD's effectiveness, adaptability, and consistency by consistently outperforming alternative segmentation methods found in the state-of-the-art. The results of comprehensive experiments, validated by statistical and non-parametric analyses, show that the proposed hyper-heuristic and methodology produce accurate and consistent segmentations for road traffic surveillance compared to the other methods in the literature
  • Miniatura
    Ítem
    Propensity and proclivity of vulnerable road users towards personalised road safety solutions
    (WITPress, 2025) Booth, Colin A.; Sudhakaran, Gargy M.; Abbey, Samuel J.; Prabhakaran, Abhinesh; Georgakis, Panagiotis; Renukappa, Suresh; Suresh, Subashini; Almohammad, Adel; Magoutas, Babis; Bozinaki, Amalia; Gkountoumas, Filippos; Georgiou, Marina; Karvouniari-Matzakou, Dorine; Masegosa Arredondo, Antonio David; Arriandiaga Laresgoiti, Ander; Cantú Ros, Olivia G.; Bueno González, Jerónimo; Pohle, Maria; Strauzenberg, Nora; Hilse, Vanessa; Poon, Crispian; Chandranesan, Nimalan; Anderson, Ruth; Parnell, Katie; Siakantaris, Harris; Kostavara, Eirini; Davlias, Orestis; Maragkakis, Michail; Sangwan, Jayant; Benkic, Maruša; Russotto, Rémy; Digkas, Agis
    Vulnerable road users (VRUs) account for ~70% of Europe s total road fatalities. Whilst there has been an upsurge in solutions to improve infrastructure safety and vehicle safety, solutions for VRUs have not received the same attention. This study gathers the opinions and preferences of VRUs from across several European nations towards the design and implementation of possible road safety solutions. An online questionnaire survey (available in English, German, Greek and Spanish languages) was shared with potential participants. Based on the data collected for the first three months (30 September 2023 to 31 December 2023), the survey received responses (n = 719) from a wide variety of participant VRU types but chiefly those representing the pedestrian and cyclist groups. Findings reveal there is a strong interest in personalised technology-informed road safety products for VRUs, including safe/clean routing. It is suggested that designs should provide a preference towards fast routes but ideally away from routes used by fast moving vehicles, preferably along designated pedestrian, cycle or bridleways and/or through/near green infrastructure (e.g. public parks) or alongside waterways (e.g. rivers, canals). On-route streetlighting, on-route signposting and road/pavement surface type/condition are also important considerations. It is, therefore, proposed that the insights assembled from participants be judiciously considered when creating the features and functions of any road-safety solutions (e.g. mobile apps). Further, since this is part of a wider project using the precedent of co-creation, it is also proposed that any trials and testing should engage VRUs for evaluation and feedback to enhance the performance and potential market uptake of solutions.