Route Planning for an Autonomous Robotic Vehicle Employing a Weight-Controlled Particle Swarm-Optimized Dijkstra Algorithm

نویسندگان

چکیده

Planning the path an autonomous robotic vehicle will take is essential part of developing and utilizing such a system. The task deciding on best route navigating technique to get its destination quickly safely. purpose planning select for that result in greatest fuel savings. planner aids accomplishing goals least amount time using by determining optimal considering variables including traffic, road conditions, distance. higher production lower operating expenses. An (ARVs) self-driving uses advanced technologies navigate through environment without human intervention. These vehicles can be used various applications, transportation, logistics, surveillance, exploration. Route (RP) process most efficient safe vehicle, pedestrian, or any other mode transportation reach destination. management selecting collision-free environment, which practice frequently crowded. Therefore, offering RP solution systems essential. particle swarm optimization (PSO) method incorporates inertia weights imitates cooperative behavior flock’s population as well predatory nature address modeling issues. Dijkstra algorithm (DA) works shortest among closest vertices between source To choose path, weight also taken into account. By analyzing algorithms, we presented combination RP. In order give reliable method, suggested weight-controlled swarm-optimized (WCPSODA). MATLAB was run simulation, conventional tools were evaluate results. findings study show are capable performing well.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

An Improved Particle Swarm Optimization Algorithm Used for Unmanned Aerial Vehicle Fixed-point Reconnaissance Route Planning

The paper puts forward an unmanned aerial vehicle (UAV) fixed-point reconnaissance route planning method. The method introduces the improved particle swarm optimization (IPSO) method to the planning of UAV reconnaissance route and adds the objective value, effective reconnaissance route and other factors affecting UAV reconnaissance route in the objective function of particle swam to obtain the...

متن کامل

development and implementation of an optimized control strategy for induction machine in an electric vehicle

in the area of automotive engineering there is a tendency to more electrification of power train. in this work control of an induction machine for the application of electric vehicle is investigated. through the changing operating point of the machine, adapting the rotor magnetization current seems to be useful to increase the machines efficiency. in the literature there are many approaches wh...

15 صفحه اول

Robotic path planning using hybrid genetic algorithm particle swarm optimisation

The problem of robotic path planning has always attracted the interests of a significantly large number of researchers due to the various constraints and issues related to it. The optimization in terms of time and path length and validity of the non-holonomic constraints, especially in large sized maps of high resolution, pose serious challenges for the researchers. In this paper we propose Hyb...

متن کامل

OPTIMIZED FUZZY CONTROL DESIGN OF AN AUTONOMOUS UNDERWATER VEHICLE

In this study, the roll, yaw and depth fuzzy control of an Au- tonomous Underwater Vehicle (AUV) are addressed. Yaw and roll angles are regulated only using their errors and rates, but due to the complexity of depth dynamic channel, additional pitch rate quantity is used to improve the depth loop performance. The discussed AUV has four aps at the rear of the vehicle as actuators. Two rule bases...

متن کامل

Optimized Algorithm for Particle Swarm Optimization

Particle swarm optimization (PSO) is becoming one of the most important swarm intelligent paradigms for solving global optimization problems. Although some progress has been made to improve PSO algorithms over the last two decades, additional work is still needed to balance parameters to achieve better numerical properties of accuracy, efficiency, and stability. In the optimal PSO algorithm, th...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: IEEE Access

سال: 2023

ISSN: ['2169-3536']

DOI: https://doi.org/10.1109/access.2023.3302698