Path tracking is one of the most important aspects autonomous vehicles. The current research focuses on designing path-tracking controllers taking into account stability yaw and nonholonomic constraints vehicle. In cases, lateral controller design relies identifying a path reference point, with shortest distance to vehicle giving state That restricts controller’s ability handle sudden changes trajectory heading angle. present article proposes new approach that imitates human behavior while...

Abstract The rapid increase in renewable energy integration and electric vehicle (EV) adoption creates significant challenges for the stability efficiency of power distribution networks. This study addresses need optimized placement sizing Electric Vehicle Charging Stations (EVCSs), photovoltaic (PV) systems, Distribution Static Compensators (DSTATCOMs) to enhance grid performance. motivation this work arises from fluctuating nature generation unpredictable demands EV charging, which strain...

This paper offers a brief insight into predicting the State of Health (SOH) lithium-ion batteries in EVs using machine learning. Accurate SOH assessment is crucial for optimizing electric vehicles (EVs') performance and longevity. Employing supervised learning on diverse battery dataset, research develops robust estimation method. Various algorithms are compared efficacy, considering factors like temperature charging patterns. Feature selection enhances model accuracy efficiency. The...

The challenge of trajectory tracking autonomous vehicles (AVs) is a critical aspect that must be effectively addressed. Recent studies are concerned with maintaining the yaw stability to guarantee customers’ comfort throughout journey. Most geometrical controllers solve this task by dividing it into consecutive point stabilization problems, limiting controllers’ ability handle sudden changes. One research presented predictive Stanley lateral controller uses discrete prediction model mimic...

The problem of traffic congestion is one today's major problems all over the world. Traffic increases fuel consumption, pollution, and decreases productivity. Intersections a main cause such problem. Intelligent Transportation System (ITS) approaches try to solve these by integrating artificial intelligence in networks. This study proposes an Intersection Control (ICS) based on Multi-Agent (MAS) structure, control Autonomous Vehicles (AVs) intersections for better roads utilization. A...

This paper presents a different approach to tackle the Sound Source Localization (SSL) problem apply on compact microphone array that can be mounted top of small moving robot in an indoor environment.Sound source localization approaches categorized into three main categories; Time Difference Arrival (TDOA), high-resolution subspace-based methods, and steered beamformer-based methods.Each method has its limitations according search or application requirements.Steered will used this because it...

Over the years, traffic congestion has grown into one of today's global problems. Intersections are a major cause this problem. Thus proper management intersections, will reduce consequently. In study, an intelligent Intersection Control System (ICS) is proposed to control flow in intersections. Treating problem as Multi-Agent (MAS), two types agents inhibit environment. The Manager Agent (IMA) responsible for vehicles coordination intersection. Driver (DA) implemented on each vehicle it....

This paper presents the transformation of a 14- seater multi- passenger golf cart to an autonomous level 3 vehicle by Autotronics Research Lab team in Ain Shams University. The developed is be used closed environments such as campuses, resorts and clubs. Through this paper, we will discuss mechanical electrical modifications well sensor suite car. In addition, algorithms perception, localization mapping, safety approaches taken case emergency for are discussed.

One of the most crucial tasks autonomous vehicles (AVs) is Path tracking module. It defines ability vehicle to pursuit generated free collision path. Furthermore, this task has be done maintaining stability vehicle's heading ensure passengers' comfort during trip. Geometrical controllers are known and easy applied in robotics driving. considered a type lateral controller that neglects dynamic forces on assumes no-slip condition holds at wheels. A geometrical bicycle model error generates...

This paper presents the initial results of a virtual operator model designed for wheel loader that can test digital mockups construction machines before they are built, thus eliminating significant costs and time building prototypes. The controls to simulate evaluation tests normal tasks truck loading cycle. It consists an event based finite state machine strategy which selects different subtasks depending on current situation/condition. generates human commands lift, tilt, throttle,...

Modular design of steering-by-wire and brake-by-wire drive-by-wire systems can lead to many benefits in converting normal mobile platforms into autonomous platforms. In this paper, we present modular designs for the three X-by-wire on a 14-seater multi-passenger golf cart. The golf-cart is supposed operate confined urban environments such as university campus, touristic site, or residential compounds. also considers low-level control these taking consideration autonomy requirements...

A unique method of improving energy efficiency in fluid power systems is called digital flow control. In this paper, binary coding control utilized. Although scheme characterized by a small package size and low consumption, it influenced higher pressure peaks larger transient uncertainty than are other schemes, e.g., Fibonacci pulse number modulation, consequently resulting poor tracking accuracy.
 This issue can be solved introducing delay the signal opening/ closing previous or...

Self driving cars have been the focus of several research groups due to improvement in processing capabilities, and feasibility run sophisticated control algorithms real time. We introduce two NMPC implementations able guide vehicle autonomously through acceleration steering track a predefined path with reference velocities accurately while paying attention comfort passengers moreover capable running The controllers are compared terms effort, accuracy iteration times, Carsim is then used...

Some new traffic regulation schemes are defined in terms of a relief-spacing (or spacing the allowance for cell delivery to network) function. The class open-loop regulators (TR's) is functions which depend on some user-state; this may be viewed as an extension Spacer-Controller constant (user-state independent) relief-function. optimal TR's derived by formulating proper optimization problems and applying Markov decision approach. Numerical results illustrate improved performance TR over...

Abstract Background Nowadays, electric vehicle development takes a great attention in industry and researches, due to demising supplies of fuel, less pollution, developing many resources generating electricity as renewable energy clean resources. Results This research is part the Autotronics Research Lab (ARL), applying researches on autonomous vehicles. The main aim apply vector control method traction system (mini golf cart) by using two hub motors rear wheels while front are used for...

Traction control system (TCS) helps regulating wheel slip when vehicle starts from rest or accelerates excessively. It limits the either by applying braking torque suppressing engine using both techniques. The brakes has faster response than engine; however, overusing decrease its lifetime and increase fuel consumed. In this paper, a TCS is proposed that utilizes to slip. Fuzzy PID strategies are used respectively. When exceeds certain threshold, activated, after couple seconds switched...

<title>Abstract</title> Electric vehicle (EV) production is pivotal in achieving environmental sustainability by reducing greenhouse gas emissions and air pollution Since the weight of electric vehicles directly influences energy consumption driving range vehicle, innovative engineers face a significant challenge designing an optimized chassis that remains robust under complex loading conditions. This paper focuses on dynamic analysis EV subjected to transient suspension forces due hitting...

<title>Abstract</title> This study explores the intricate relationships among renewable energy integration, electric vehicle (EV) adoption, and their effects on power grid performance. The need for optimized integration of EV charging stations (EVCSs), Distribution Static Compensators (DSTATCOMs), photovoltaic (PV) systems to enhance network efficiency stability is addressed. Using IEEE 69-bus system, this evaluates four scenarios, each incorporating different combinations EVCSs, PVs,...

The pursuit of reduced carbon emissions has spurred powertrain innovations, especially in the automotive sector. This study aims to numerically analyze electrically assisted turbocharging (eTurbo) on internal combustion engines (ICEs) with a specific focus optimizing wastegate control across diverse engine speeds. Results highlight significant influence settings critical parameters such as brake-specific fuel consumption (BSFC), power, and torque. Through meticulous simulations validation,...

Autonomous transportation systems are embarking our lives at an increasing pace. Over the past few years, several commercially available vehicles incorporated with levels of autonomy. The Transportation Operating Modules (ATOM) framework is proposed to organize and coordinate development as well testing these autonomous systems. One most important modules path planning vehicle, finding optimal between two points great importance it directly power saving battery. Metaheuristic optimization...

Path planning plays an important role in various fields of application and research among robotics autonomous vehicles. Correct path requires accurate vehicle positioning tracking which are two highly crucial tasks for numerous applications the field intelligent transportation systems. Global Positioning System (GPS) is extremely affected by error sources accordingly produce inaccurate trajectory data. To make this data useful, it has to be linked road network with aid map matching. This...