@article{MTMT:34802381, title = {Safety of cyclists interacting with autonomous vehicles: A combined microscopic simulation and SSAM analysis}, url = {https://m2.mtmt.hu/api/publication/34802381}, author = {Hammami, Amira and Borsos, Attila}, doi = {10.1016/j.tbs.2024.100805}, journal-iso = {TRAVEL BEHAV SOC}, journal = {TRAVEL BEHAVIOUR AND SOCIETY}, volume = {36}, unique-id = {34802381}, issn = {2214-367X}, year = {2024}, eissn = {2214-3688}, pages = {100805} } @article{MTMT:34793019, title = {A Novel, Three-Stage Intelligent Fuzzy Traffic Signal Control System}, url = {https://m2.mtmt.hu/api/publication/34793019}, author = {Chala, Tamrat Delessa and Kóczy, László T.}, doi = {10.12700/APH.21.8.2024.8.10}, journal-iso = {ACTA POLYTECH HUNG}, journal = {ACTA POLYTECHNICA HUNGARICA}, volume = {21}, unique-id = {34793019}, issn = {1785-8860}, year = {2024}, eissn = {1785-8860}, pages = {189-209}, orcid-numbers = {Chala, Tamrat Delessa/0000-0002-7271-4876} } @article{MTMT:34774556, title = {Predicting multi-span bridge maximum deflection: Numerical simulation and validation}, url = {https://m2.mtmt.hu/api/publication/34774556}, author = {Brinissat , Marame and Ray, Richard and Kuti, Rajmund}, doi = {10.1088/1757-899X/1304/1/012016}, journal-iso = {IOP CONF SER MATER SCI ENG}, journal = {IOP CONFERENCE SERIES: MATERIALS SCIENCE AND ENGINEERING}, volume = {1304}, unique-id = {34774556}, issn = {1757-8981}, abstract = {Deflection is one of the main parameters often required to reflect and monitor the overall health state of bridge structures. Several approaches have been developed to monitor deflection accurately and economically. This research proposes a theoretical method to estimate the maximum deflection of the longest section of a seven-span continuous bridge using stress data collected through strain gauges. Firstly, initial data were collected from field tests under various controlled loadings to obtain the maximum deflections and stresses. Then, the stress-deflection regression equations are derived to reconstruct deflection from estimated gauges. Finally, the maximum deflection values are compared with analytical results using finite element simulations to verify the method’s effectiveness.}, year = {2024}, eissn = {1757-899X}, orcid-numbers = {Kuti, Rajmund/0000-0001-7715-0814} } @article{MTMT:34763222, title = {Integrating push-out test validation and fuzzy logic for bond strength study of fiber-reinforced self-compacting concrete}, url = {https://m2.mtmt.hu/api/publication/34763222}, author = {Shafaie, Vahid and Ghodousian, Oveys and Ghodousian, Amin and Cucuzza, Raffaele and Movahedi Rad, Majid}, doi = {10.1016/j.conbuildmat.2024.136062}, journal-iso = {CONSTR BUILD MATER}, journal = {CONSTRUCTION AND BUILDING MATERIALS}, volume = {425}, unique-id = {34763222}, issn = {0950-0618}, year = {2024}, eissn = {1879-0526}, pages = {136062}, orcid-numbers = {Cucuzza, Raffaele/0000-0002-9344-6006} } @article{MTMT:34761683, title = {Assessing the Paradox of Autonomous Vehicles: Promised Fuel Efficiency vs. Aggregate Fuel Consumption}, url = {https://m2.mtmt.hu/api/publication/34761683}, author = {Mohammed, Dilshad and Horváth, Balázs}, doi = {10.3390/en17071589}, journal-iso = {ENERGIES}, journal = {ENERGIES}, volume = {17}, unique-id = {34761683}, issn = {1996-1073}, abstract = {As autonomous vehicles (AVs) continue to evolve and approach widespread adoption in the near future, the touted benefits of improved fuel efficiency at an individual level come under scrutiny when considering the overall impact on fuel consumption. This research delves into the paradoxical relationship between the promising technology of AVs, their impact on traffic capacities, travel demand, and the subsequent influence on aggregate fuel consumption. While AVs have demonstrated enhanced fuel efficiency when considered as a singular mode of transportation, our study reveals a contrasting trend when scaled to a broader societal context. Through comprehensive analysis of the literature, we discovered that, at lower limits of energy savings achievable by a single AV, the overall fuel consumption increases by a staggering 42% compared to conventional human-driven vehicles. This counterintuitive outcome is a result of the aggregate effect of increased AV usage, leading to higher traffic volumes and travel demands. Conversely, at higher thresholds of energy savings by individual AVs, the percentage of fuel consumption increment diminishes, but remains notable. Even with advanced energy-saving features, the overall fuel quantity still experiences a substantial 30% increase compared to conventional vehicles when scaled up to widespread AV use. Our findings emphasize the importance of considering the holistic impact of AVs on transportation systems and energy consumption. As society transitions towards AV-dominated traffic, policymakers and stakeholders must address the challenges associated with increased travel demand, potential traffic congestion, and the resultant implications on fuel consumption.}, year = {2024}, eissn = {1996-1073}, pages = {1589}, orcid-numbers = {Horváth, Balázs/0000-0002-1520-8731} } @article{MTMT:34751361, title = {Comparative Analysis of Following Distances in Different Adaptive Cruise Control Systems at Steady Speeds}, url = {https://m2.mtmt.hu/api/publication/34751361}, author = {Mohammed, Dilshad and Horváth, Balázs}, doi = {10.3390/wevj15030116}, journal-iso = {WORLD ELECTR VEH J}, journal = {WORLD ELECTRIC VEHICLE JOURNAL}, volume = {15}, unique-id = {34751361}, abstract = {Adaptive Cruise Control (ACC) systems have emerged as a significant advancement in automotive technology, promising safer and more efficient driving experiences. However, the performance of ACC systems can vary significantly depending on their type and underlying algorithms. This research presents a comprehensive comparative analysis of car-following distances in different types of Adaptive Cruise Control systems. We evaluate and compare three distinct categories of ACC systems using three different commercial vehicles brands. The study involves extensive real-world testing at Zalazone Proving Ground, to assess the performance of these systems under various driving conditions, including driving at multiple speeds and applying different car following scenarios. The study investigates how each ACC system manages the minimum following distances according to the type of ACC sensors in each tested vehicle. Our findings revealed that at low to medium ranges of constant driving speeds, there was an approximate linear increase in the average clearances between the two following vehicles for all applied scenarios, with comparatively shorter clearances obtained by the vision-based ACC system, while unstable measurements with a high level of dispersion for all ACC systems were observed at high range of driving speeds.}, year = {2024}, eissn = {2032-6653}, pages = {116}, orcid-numbers = {Horváth, Balázs/0000-0002-1520-8731} } @article{MTMT:34719913, title = {Multi-Span Box Girder Bridge Sensitivity Analysis in Response to Damage Scenarios}, url = {https://m2.mtmt.hu/api/publication/34719913}, author = {Brinissat , Marame and Ray, Richard and Kuti, Rajmund}, doi = {10.3390/buildings14030667}, journal-iso = {BUILDINGS-BASEL}, journal = {BUILDINGS}, volume = {14}, unique-id = {34719913}, abstract = {Due to their distinct features, including structural simplicity and exceptional load-carrying capacity, steel box girder bridges play a critical role in transportation networks. However, they are categorized as fracture-critical structures and face significant challenges. These challenges stem from the overloading and the relentless effects of corrosion and aging on critical structural components. As a result, these bridges require thorough inspections to ensure their safety and integrity. This paper introduces generalized approaches based on vibration-based structural health monitoring in response to this need. This approach assesses the condition of critical members in a steel girder bridge and evaluates their sensitivity to damage. A rigorous analytical evaluation demonstrated the effectiveness of the proposed approach in evaluating the Szapáry multi-span continuous highway bridge under various damage scenarios. This evaluation necessitates extensive vibration measurements, with piezoelectric sensors capturing ambient vibrations and developing detailed finite element models of the bridge to simulate the structural behavior accurately. The results obtained from this study showed that bridge frequencies are sufficiently sensitive for identifying significant fractures in long bridges. However, the mode shape results show a better resolution when compared to the frequency changes. The findings are usually sensitive enough to identify damage at the affected locations. Amplitude changes in the mode shape help determine the location of damage. The modal assurance criterion (MAC) served to identify damage as well. Finally, the results show a distinct pattern of frequency and mode shape variations for every damage scenario, which helps to identify the damage type, severity, and location along the bridge. The analysis results reported in this study serve as a reference benchmark for the Szapáry Bridge health monitoring.}, year = {2024}, eissn = {2075-5309}, orcid-numbers = {Kuti, Rajmund/0000-0001-7715-0814} } @article{MTMT:34694318, title = {Utilizing machine learning and CMIP6 projections for short-term agricultural drought monitoring in central Europe (1900–2100)}, url = {https://m2.mtmt.hu/api/publication/34694318}, author = {Mohammed, Safwan and Arshad, Sana and Alsilibe, Firas and Moazzam, Muhammad Farhan Ul and Bashir, Bashar and Prodhan, Foyez Ahmed and Alsalman, Abdullah and Vad, Attila Miklós and Rátonyi, Tamás and Harsányi, Endre}, doi = {10.1016/j.jhydrol.2024.130968}, journal-iso = {J HYDROL}, journal = {JOURNAL OF HYDROLOGY}, volume = {633}, unique-id = {34694318}, issn = {0022-1694}, abstract = {Water availability for agricultural practices is dynamically influenced by climatic variables, particularly droughts. Consequently, the assessment of drought events is directly related to the strategic water management in the agricultural sector. The application of machine learning (ML) algorithms in different scenarios of climatic variables is a new approach that needs to be evaluated. In this context, the current research aims to forecast short-term drought i.e., SPI-3 from different climatic predictors under historical (1901-2020) and future (2021-2100) climatic scenarios employing machine learning (bagging (BG), random forest (RF), decision table (DT), and M5P) algorithms in Hungary, Central Europe. Three meteorological stations namely, Budapest (BD) (central Hungary), Szeged (SZ) (east south Hungary), and Szombathely (SzO) (west Hungary) were selected to forecast short-term agriculture drought i.e., Standardized Precipitation Index (SPI-3) in the long run. For this purpose, the ensemble means of three global circulation models GCMs from CMIP6 are being used to get the projected (2021-2100) time series of climatic indicators (i.e., rainfall R, mean temperature T, maximum tem- perature Tmax, and minimum temperature Tmin under two scenarios of socioeconomic pathways (SSP2-4.5 and SSP4-6.0). The results of this study revealed more severe to extreme drought events in past decades, which are projected to increase in the near future (2021-2040). Man-Kendall test (Tau) along with Sen`s slope (SS) also revealed an increasing trend of SPI-3 drought in the historical period with Tau = 0.2, SS = 0.05, and near future with Tau = 0.12, SS = 0.09 in SSP2-4.5 and Tau = 0.1, SS = 0.08 in SSP4-6.0. Implementation of ML algorithms in three scenarios: SC1 (R + T + Tmax + Tmin), SC2 (R), and SC3 (R + T)) at the BD station revealed RF-SC3 with the lowest RMSE RFSC3-TR = 0.33, and the highest NSE RFSC3-TR = 0.89 performed best for forecasting SPI-3 on historical dataset. Hence, the best selected RF-SC3 was implemented on the remaining two stations (SZ and SzO) to forecast SPI-3 from 1901 to 2100 under SSP2-4.5 and SSP4-6.0. Interestingly, RF-SC3 forecasted the SPI-3 under SSP2-4.5, with the lowest RMSE = 0.34 and NSE = 0.88 at SZ and RMSE = 0.34 and NSE = 0.87 at SzO station for SSP2-4.5. Hence, our research findings recommend using SSP2-4.5, to provide more accurate drought predictions from R + T for future projections. This could foster a gradual shift towards sustainability and improve water management resources. However, concrete strategic plans are still needed to mitigate the negative impacts of the projected extreme drought events in 2028, 2030, 2031, and 2034. Finally, the validation of RF for short-term drought prediction on a large historical dataset makes it significant for use in other drought studies and facilitates decision making for future disaster management strategies.}, year = {2024}, eissn = {1879-2707}, pages = {1-21}, orcid-numbers = {Arshad, Sana/0000-0003-4809-5742} } @article{MTMT:34681432, title = {Enhancing pier local scour prediction in the presence of floating debris}, url = {https://m2.mtmt.hu/api/publication/34681432}, author = {Al-Jubouri, Muhanad Khlaf Salman and Ray, Richard}, doi = {10.1556/606.2023.00952}, journal-iso = {POLLACK PERIODICA}, journal = {POLLACK PERIODICA: AN INTERNATIONAL JOURNAL FOR ENGINEERING AND INFORMATION SCIENCES}, unique-id = {34681432}, issn = {1788-1994}, abstract = {Local scour poses a grave threat to bridge foundations, potentially causing catastrophic collapses. This study uses FLOW-3D with the Reynolds-Averaged Navier-Stokes model to analyze pier scour and dune formation under bridges. It focuses on submerged debris shapes near the water's surface. Results closely match experiments when specific conditions are met. The study introduces an innovative approach to debris impact assessment. Instead of traditional methods, it proposes a novel equation accounting for debris's effective area and elevation. This enhances reliability by over 20%, improving scour depth assessment in debris-laden scenarios. This advances the understanding of debris's role in local scour, benefiting bridge design and management practices.}, year = {2024}, eissn = {1788-3911}, orcid-numbers = {Al-Jubouri, Muhanad Khlaf Salman/0000-0003-0865-9312} } @article{MTMT:34667625, title = {Charpy Impact Testing and Hardness Evaluation of S355MC High-Strength Steel After Gleeble Modeling with Varied Cooling Times}, url = {https://m2.mtmt.hu/api/publication/34667625}, author = {Mkanna, Lama}, journal-iso = {DUNAKAVICS}, journal = {DUNAKAVICS}, volume = {12}, unique-id = {34667625}, issn = {2064-5007}, abstract = {High-strength steel alloys, like S355MC, are widely employed in structural and automotive applications, demanding a deep understanding of their behavior under different processing conditions. This study investigates the impact toughness and hardness of S355MC steel samples after Gleeble modeling, a thermomechanical simulation technique. The cooling time, a critical factor in microstructural development, is varied to explore its influence on mechanical properties. Charpy impact testing and Vickers hardness measurements were performed to assess the steel's response to different cooling conditions [1]. The research includes a series of S355MC steel specimens, each subjected to Gleeble modeling under distinct cooling times. Charpy impact tests, following ASTM standards, reveal the steel's ability to withstand sudden loading and its energy absorption capacity. The results show that with shorter cooling times, the impact energy absorption capacity of the steel decreases. Vickers hardness tests provide information on the material's resistance to localized plastic deformation and its suitability for specific applications. The findings reveal that the hardness of S355MC increases with reduced cooling times, indicating a relationship between microstructure and hardness [2]. This study highlights the significance of cooling time control in the heat treatment process for S355MC steel. The insights obtained from the impact and hardness testing are essential for optimizing processing conditions, ensuring the steel's reliability in applications where impact resistance and hardness are vital.}, keywords = {microstructure; mechanical properties; Vickers hardness; Charpy impact testing; cooling time; Gleeble}, year = {2024}, pages = {15-21} }