This article discusses an adaptive cruise control system aimed at monitoring the distance with the vehicle ahead. This system allows for the automatic control of the throttle by electronic control signals instead of manual pedal operation. In the research, a predictive control model (MPC) is utilized within the Matlab/Simulink software to simulate the control process of the research model.

The paper discusses the movement of a quarter-car concerning whether the tires are in contact with the road or not. A set of equations is formulated to highlight the two different states, and a new approach is presented to solve these equations while also considering the separation of the tires.

In this study, we utilized the YOLO (You Only Look Once) model to evaluate the performance of real-time vehicle detection and classification. Additionally, we adjusted the learning rate parameter to achieve optimal performance.

The research focuses on applying deep learning to automate the fruit recognition and classification process, meeting the development needs of modern agriculture. Applying this technology helps improve efficiency and classification quality and reduces labor costs, resulting in lower product prices. The research team used two deep learning models, SSD300 and YOLOv10s, to recognize and classify six types of fruits: apples, bananas, kiwis, lemons, oranges, and strawberries.

This study proposes an improved optimization algorithm, combining a chaotic search function and the Runge Kutta optimizer, to address the optimal power dispatch problem for EVCS integrated with Vehicle-to-Grid technology in Distribution Networks featuring Distributed Generation and Battery Energy Storage Systems.

This paper presents an overview of the ideas, general design, and preliminary cost estimation for electric vehicle charging stations in planned areas. The selection of a charging station model that integrates solar panels connected to the national grid, having energy storage unit is discussed.

The paper presents the investigation into determining suitable locations for electric vehicle charging stations within the Microgrid 16-Bus system based on the objective of considering voltage stability using the FVSI and RVS indices.

This paper will present an IoT-based system to monitor critical parameters of vehicles, including temperature, humidity, fuel consumption, and positioning. The proposed system integrates a network of sensors within the vehicle to capture real-time data, which is transmitted to a centralized control unit for analysis and visualization.

In this paper, we propose a novel framework for natural language-based trackedvehicle retrieval based on CLIP model, one of the most effective models for image-text matching task. This framework leverages both appearance and motion information to enhance the matching accuracy of vehicle tracklet retrieval.

This study investigates the application of network analysis to optimize solid waste collection routes in Son Tra District, Da Nang City. Twelve collection routes, encompassing 30 collection points, were tracked using GPS equipment and digitized in QGIS.

Stabilizing the depth of the Towed Underwater Vehicle (TUV) under the impact of ocean waves is the first problem when building a control and monitoring system for TUV. Many strategies and control methods have been proposed in different studies, but they are not a general standard.

In the 6G mobile networks, ensuring low latency and low energy consumption is paramount. This study explores a novel approach for addressing these issues in a backscatter communication (BC) - based multiple user unmanned aerial vehicle (UAV) - enabled mobile edge computing (MEC) Internet of Things (IoT) network.

This paper investigates the Dynamic Impact Factor (DIF) of vertical displacement in a three-span girder bridge with a continuous thermal deck subjected to random vehicle loads. Actual vehicle load data collected from the Dau Giay weighing station and Road Management Area IV were utilized in the analysis.

Through the process of analysing related documents and object characteristics in FMCG companies, paper aim to build vehicle roung with me window (CVRTW) model to optimize the delivering process, thus satisfying customer demand. To ensure the quality of the results, the model will be solved using the simulated annealing algorithm (SAalgorithm).

This paper presents the impacts of Electric Vehicle Charging Stations (EVCSs) on voltage and frequency quality in the Microgrid. It addresses security analysis, voltage and frequency quality, as well as issues related to EVCSs.

This research investigates integrated drive topologies for Switched Reluctance Motors (SRMs). During the research project, three new power electronic topologies are proposed and simulated via extensive simulations in finite element modelling software (Maxwell) and MATLAB/Simulink.

The research design adopted to address this problem utilised mixed data collection methodologies. In order to determine what was happening in the industry as a whole, a specially designed survey was conducted utilising both web-based and traditional paper-based instruments. This provided valuable quantitative data about the rate of uptake, types of companies and so on. To complement this, a focus group of selected representatives within the industry was conducted to delve more deeply into motivations behind the decision to adopt the technology and the perceived benefits derived from it.

Đề tài "Thuật toán di truyền song song giải bài toán VRP (Vehicle Routing Problem) với hạn chế thời gian" tập trung giải quyết bài toán lập lộ trình xe vận chuyển với hạn chế thời gian – VRPTW, được ứng dụng nhiều trong dịch vụ vận chuyển. Mục tiêu bài toán là tối thiểu số xe vận chuyển và tổng khoảng cách di chuyển khi phục vụ các khách hàng mà không vi phạm các ràng buộc về khả năng chuyên chở của các xe và các cửa sổ thời gian đáp ứng.

The thesis aims to improve service quality, increase customer satisfaction, promote voluntary behavior, voluntarily obey the law participating in motor vehicle civil liability for third parties.

Luận văn "Phương pháp tối ưu đàn kiến giải bài toán định tuyến xe" sẽ nghiên cứu, tìm hiểu các phương pháp metaheuristic nói chung và phương pháp tối ưu đàn kiến nói riêng để giải quyết bài toán VRP. Mời các bạn cùng tham khảo nội dung chi tiết.