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All Journal Asian Journal of Science, Technology, Engineering, and Art
Aluhumile, Erukpe P.
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Arts Computer Science & IT Engineering Social Sciences

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Simulation of Smart Speed Variation in Electric Vehicles Using Fuzzy Logic Controller Imo, Felix Udobi; Aluhumile, Erukpe P.; A., Nwabueze C.
Asian Journal of Science, Technology, Engineering, and Art Vol 3 No 4 (2025): Asian Journal of Science, Technology, Engineering, and Art
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/ajstea.v3i4.6456

Abstract

Roads today are often equipped with speed breakers, which, although intended to control vehicle speed and reduce accidents, frequently cause inconvenience and potential hazards, especially when drivers encounter them unexpectedly. Speed breakers were introduced to curb the risks of collisions due to overspeeding; however, their physical implementation can disrupt vehicle movement and comfort. This study proposes a smart speed variation system for electric vehicles using a Fuzzy Logic Controller, aimed at eliminating the need for physical speed bumps while ensuring road safety. In the proposed system, a transmitter is placed at the entry point of a road segment with a designated speed limit. This transmitter sends a specific frequency corresponding to the speed limit, which is received by oncoming vehicles equipped with a compatible receiver. Upon receiving the signal, the vehicle automatically adjusts its speed to comply with the set limit. When the vehicle exits the restricted zone, it receives another signal permitting it to resume normal speed. This intelligent speed control system enhances driving comfort, ensures safety by maintaining regulated speeds, and contributes to energy efficiency in electric vehicles. The system was developed and simulated using MATLAB/Simulink with fuzzy logic to handle the dynamic control of vehicle speed based on environmental inputs. The simulation results confirm that speed variation can be effectively achieved through vehicle-to-infrastructure communication, demonstrating a viable alternative to traditional speed control mechanisms.
Enhancement of Quality of Service (QoS) through Improvement of WCDMA Capacity Imo, F. U.; Nwabueze, C. A.; Aluhumile, Erukpe P.
Asian Journal of Science, Technology, Engineering, and Art Vol 3 No 4 (2025): Asian Journal of Science, Technology, Engineering, and Art
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/ajstea.v3i4.6648

Abstract

Achieving maximum customer satisfaction in the Global System for Mobile Communications (GSM) industry has become increasingly challenging due to heightened awareness of consumer rights, population growth, and economic expansion. A critical factor influencing service delivery is network congestion, which significantly impacts the Quality of Service (QoS), a key performance indicator (KPI) used to assess the efficiency of telecommunication services provided to end users. Core metrics for evaluating QoS include accessibility, voice connection quality, and retainability. While various studies have explored methods to mitigate congestion, interference remains a major constraint on the capacity of Wideband Code Division Multiple Access (WCDMA) systems, especially in regions where population density fluctuates, forming high-demand zones or "hot spots." This study investigates the application of adaptive sectorization as a strategy to reduce co-channel interference. The methodology involves modifying the number of antennas in the base station array, analyzing energy leakage between users, and examining the resulting radiation patterns for three mobile devices to measure inter-user interference. Results indicate that increasing the number of antennas narrows radiation beams and reduces off-diagonal interference levels. The findings demonstrate that adaptive sectorization consistently enhances system capacity, with particularly notable improvements in scenarios where user concentration in hot spots significantly exceeds that in surrounding areas.
Performance Analysis of Smart Speed Variation in Electric Vehicles Using the Combination of Fuzzy Logic Controller Imo, F. U.; Aluhumile, Erukpe P.; Nwabueze, C. A.
Asian Journal of Science, Technology, Engineering, and Art Vol 3 No 4 (2025): Asian Journal of Science, Technology, Engineering, and Art
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/ajstea.v3i4.6649

Abstract

Electric vehicles (EVs) have emerged as a response to the increasing environmental impact of combustion engines and the rising demand for fossil fuels, offering a sustainable alternative to meet the growing transportation needs that underpin economic development. Ensuring the safe operation of EVs on existing road infrastructure, particularly in environments with physical speed breakers, remains a critical concern. Speed bumps are commonly used to prevent collisions due to excessive speeding; however, they often compromise driving comfort and pose safety risks when encountered unexpectedly. This study proposes a smart speed control system for electric vehicles using a fuzzy logic controller, aimed at replacing traditional speed breakers. The system operates by deploying a transmitter at the entry point of a speed-regulated road segment, which sends speed limit data to approaching vehicles equipped with a corresponding receiver. Upon receiving the signal, the vehicle's speed is automatically adjusted to the designated limit. Once the vehicle exits the speed-restricted zone, a new signal allows it to resume normal speed. Developed using MATLAB/Simulink, the fuzzy logic-based control system not only enhances road safety and driving comfort but also contributes to energy efficiency in EVs. The successful implementation of this vehicle-to-infrastructure (V2I) communication model demonstrates the feasibility of intelligent speed regulation, suggesting its integration as a standard feature in future EVs. This approach provides traffic authorities with a proactive means of managing vehicle speed without direct driver intervention.
Co-Authors A., Nwabueze C. Imo, F. U. Imo, Felix Udobi Nwabueze, C. A.