TY - JOUR AU - Hammami, Amira AU - Borsos, Attila TI - Safety of cyclists interacting with autonomous vehicles: A combined microscopic simulation and SSAM analysis JF - TRAVEL BEHAVIOUR AND SOCIETY J2 - TRAVEL BEHAV SOC VL - 36 PY - 2024 SN - 2214-367X DO - 10.1016/j.tbs.2024.100805 UR - https://m2.mtmt.hu/api/publication/34802381 ID - 34802381 LA - English DB - MTMT ER - TY - JOUR AU - Chala, Tamrat Delessa AU - Kóczy, László T. TI - A Novel, Three-Stage Intelligent Fuzzy Traffic Signal Control System JF - ACTA POLYTECHNICA HUNGARICA J2 - ACTA POLYTECH HUNG VL - 21 PY - 2024 IS - 8 SP - 189 EP - 209 PG - 21 SN - 1785-8860 DO - 10.12700/APH.21.8.2024.8.10 UR - https://m2.mtmt.hu/api/publication/34793019 ID - 34793019 LA - English DB - MTMT ER - TY - JOUR AU - Bektaş, Nurullah AU - Shmlls, Maysam TI - Earthquake-Induced Waste Repurposing: A Sustainable Solution for Post-Earthquake Debris Management in Urban Construction JF - BUILDINGS J2 - BUILDINGS-BASEL VL - 14 PY - 2024 IS - 4 SP - https://www.mdpi.com/2075-5309/14/4/948# SN - 2075-5309 DO - 10.3390/buildings14040948 UR - https://m2.mtmt.hu/api/publication/34783569 ID - 34783569 AB - Product sustainability has moved beyond being an elective preference to becoming a certain necessity. However, earthquakes in different regions, particularly Türkiye–Syria, Afghanistan, and Morocco, have produced a substantial amount of construction waste and debris. In the context of green urban initiatives and environmental preservation, theeffective management and reduction of environmental impact (EI) are imperative. This urgency underscores the significance of the study’s focus on a ten-story reinforced concrete (RC) dormitory building in Győr, Hungary, chosen as a case study. The research delves into the incorporation of three distinct concrete compositions through seismic design, aligning with the innovative approach of emphasizing recycled aggregate-based concrete to mitigate the EI. Utilizing AxisVM X7 and Revit software, the study meticulously created and analyzed a detailed building model, revealing a significant percentage (35%) and amount (1519.89 tons) of concrete waste that could be incorporated into construction. The results also showed a reduction in both total carbon emissions and the price of materials by falling 27.5% and 9.13%, respectively. We propose an eco-friendly way to effectively reuse debris from earthquakes, focusing on the case study of the 2023 Türkiye–Syria earthquake and encouraging resource efficiency while also addressing the construction waste problems that arise after an earthquake. LA - English DB - MTMT ER - TY - JOUR AU - Brinissat , Marame AU - Ray, Richard AU - Kuti, Rajmund TI - Predicting multi-span bridge maximum deflection: Numerical simulation and validation JF - IOP CONFERENCE SERIES: MATERIALS SCIENCE AND ENGINEERING J2 - IOP CONF SER MATER SCI ENG VL - 1304 PY - 2024 IS - 1 SN - 1757-8981 DO - 10.1088/1757-899X/1304/1/012016 UR - https://m2.mtmt.hu/api/publication/34774556 ID - 34774556 AB - 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. LA - English DB - MTMT ER - TY - JOUR AU - Ács, Balázs AU - Kövesdi, István TI - A menetrend szerinti személyszállítás bevételi-kiadási struktúrájának, utasfedezeti arányának alakulása 2007-2022 között JF - PÉNZÜGYI SZEMLE/PUBLIC FINANCE QUARTERLY (1963-) J2 - PÉNZÜGYI SZEMLE VL - 70 PY - 2024 IS - 1 SP - 29 EP - 49 PG - 21 SN - 0031-496X UR - https://m2.mtmt.hu/api/publication/34768839 ID - 34768839 N1 - Utánközlés: 34768315 AB - A cikkben a hazai közösségi közlekedés tényleges költségeit és bevételeit összesítő, általános érvényű módszertan kerül bemutatásra, mellyel reális utasfedezeti arányt lehet számítani a hazai piac főbb szereplőire (MÁV-Volán Csoport, GYSEV, BKK). Nemzetközi kitekintés és a hazai sajátosságok bemutatása után megállapítjuk, hogy a kötöttpályás közlekedésben a költségfedezeti arány lényegesen kisebb, mint a közúti közlekedési közszolgáltatások esetében. Ennek legfőbb oka, hogy a kötöttpályás infrastruktúra fejlesztése és üzemeltetése költséges, és azt elsősorban a közforgalmú személyszállítás használja. Az utasfedezeti arányt jelentősen csökkentik a jelentős beruházások, ezt idősorban és átlagosan is vizsgáltuk. Bemutatjuk azokat a menetrendi, tarifális változásokat és fontosabb beruházásokat, amelyek – jellemzően csak kis mértékben – befolyásolták az utasfedezeti arányokat. Vizsgálatunk pénzügyi szemléletű, a pozitív externális hatásokkal, társadalmi hasznokkal és az államháztartási egyenleggel csak érintőlegesen foglalkozunk. LA - Hungarian DB - MTMT ER - TY - JOUR AU - Shafaie, Vahid AU - Ghodousian, Oveys AU - Ghodousian, Amin AU - Cucuzza, Raffaele AU - Movahedi Rad, Majid TI - Integrating push-out test validation and fuzzy logic for bond strength study of fiber-reinforced self-compacting concrete JF - CONSTRUCTION AND BUILDING MATERIALS J2 - CONSTR BUILD MATER VL - 425 PY - 2024 SN - 0950-0618 DO - 10.1016/j.conbuildmat.2024.136062 UR - https://m2.mtmt.hu/api/publication/34763222 ID - 34763222 LA - English DB - MTMT ER - TY - JOUR AU - Mohammed, Dilshad AU - Horváth, Balázs TI - Assessing the Paradox of Autonomous Vehicles: Promised Fuel Efficiency vs. Aggregate Fuel Consumption JF - ENERGIES J2 - ENERGIES VL - 17 PY - 2024 IS - 7 SN - 1996-1073 DO - 10.3390/en17071589 UR - https://m2.mtmt.hu/api/publication/34761683 ID - 34761683 AB - 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. LA - English DB - MTMT ER - TY - JOUR AU - Mohammed, Dilshad AU - Horváth, Balázs TI - Comparative Analysis of Following Distances in Different Adaptive Cruise Control Systems at Steady Speeds JF - WORLD ELECTRIC VEHICLE JOURNAL J2 - WORLD ELECTR VEH J VL - 15 PY - 2024 IS - 3 SN - 2032-6653 DO - 10.3390/wevj15030116 UR - https://m2.mtmt.hu/api/publication/34751361 ID - 34751361 AB - 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. LA - English DB - MTMT ER - TY - JOUR AU - Brinissat , Marame AU - Ray, Richard AU - Kuti, Rajmund TI - Multi-Span Box Girder Bridge Sensitivity Analysis in Response to Damage Scenarios JF - BUILDINGS J2 - BUILDINGS-BASEL VL - 14 PY - 2024 IS - 3 SN - 2075-5309 DO - 10.3390/buildings14030667 UR - https://m2.mtmt.hu/api/publication/34719913 ID - 34719913 AB - 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. LA - English DB - MTMT ER - TY - JOUR AU - Mohammed, Safwan AU - Arshad, Sana AU - Alsilibe, Firas AU - Moazzam, Muhammad Farhan Ul AU - Bashir, Bashar AU - Prodhan, Foyez Ahmed AU - Alsalman, Abdullah AU - Vad, Attila Miklós AU - Rátonyi, Tamás AU - Harsányi, Endre TI - Utilizing machine learning and CMIP6 projections for short-term agricultural drought monitoring in central Europe (1900–2100) JF - JOURNAL OF HYDROLOGY J2 - J HYDROL VL - 633 PY - 2024 SP - 1 EP - 21 PG - 21 SN - 0022-1694 DO - 10.1016/j.jhydrol.2024.130968 UR - https://m2.mtmt.hu/api/publication/34694318 ID - 34694318 AB - 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. LA - English DB - MTMT ER -