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This paper presents a hybrid algorithm that combines Fuzzy Logic Controller (FLC) and Genetic Algorithms (GA) and its application on a traffic light system. FLCs have been widely used in many applications in diverse areas, such as control system, pattern recognition, signal processing and forecasting. They are, essentially, ruled-based systems, in which the definition of these rules and fuzzy membership...
Emergency supplies dispatch is becoming more and more important and complex and we find hierarchical dispatch is a good method. Based on it, we propose a method about the two-level dispatch problems of emergency supplies which is characterized with multi-supplies and multi-vehicles. In addition, we also give the mathematical description and model considering two kinds of road and multiple objective...
Aimed at the problem of commercial vehicles' distribution routes and transportation mode, as well as the reliability of service, a distribution optimization model is constructed which considered the transportation cost, transit cost and punishment cost. Then apply genetic algorithm to solve the problem. Finally, used the data from a vehicle logistics enterprise for analyzing, which proved that the...
Wireless network solutions based on Vehicular Ad hoc Networks (VANET) are the main path for vehicle manufacturers and urban traffic management systems to find the bests in convenience, intelligence and safety of traveling and transportation. In the other hand, recent equipped vehicles with newest computers with powerful processors and huge storages are new resources for network service providers to...
This paper presents the development of web logistics system to collect products, whose objective to minimize the transport cost and finding the best routes and represent them graphically on a map. The routing problem studied in this paper uses vehicle capacity constraints, time windows and dynamic constraints based on the domain model of the system. The method proposed of resolution was genetic algorithm,...
In this paper, the analysis of the fitness function of a genetic algorithm is discussed. This genetic algorithm is used by a method for the road traffic network division. The division of the road traffic network into a number of sub-networks is a part of necessary preparations for a distributed road traffic simulation. The fitness function consists of two parts reflecting two important issues of the...
The Capacitated Vehicle Routing Problem (CVRP), is a capacity constrained type of vehicle routing problem, which is widely studied with many real-world applications. Based on this problem there are many researches and proposed papers depend on different types of algorithms. However, genetic algorithm based methods are scarcely proposed in the literature. In this paper, genetic algorithms are examined...
A multi-objective genetic algorithm (MOGA) has been applied to the multidisciplinary design optimization (MDO) of a launch vehicle (LV) with a hybrid rocket engine (HRE) to investigate the ability of an HRE to serve as a sounding rocket from various perspectives. In this study, the flight evaluation was enhanced to 3-degree-of-freedom (3DoF) in order to consider the equations of motion for horizontal...
In designing an optimal composite nonlinear feedback (CNF) controller, the parameter estimation of linear feedback gain and nonlinear gain parameters are important to produce the best output response. An optimization algorithm is designed to minimize the time consuming to get the best parameter. To design an optimal method, Multi Objective Genetic Algorithm (MOGA) is utilized to optimize the CNF controller...
This paper proposes a traffic light signal parameters optimization using particle swarm optimization (PSO) for real road network called as Ooe Toroku road network. The main aim of this method is to find out the best traffic light signal parameters, which can solve the traffic congestion on the real road network. The traffic light signal parameters that are optimized are offset, cycles, and splits...
Model predictive controller (MPC) has demonstrated its competency in controlling autonomous vehicles. But to apply the current MPC-based schemes, certain compromise or approximations have to be made in order to fit the optimization solvers, e.g. linearizing the nonlinear vehicle model. To eliminate the gaps, in this paper, we propose a nonlinear MPC controller which controls the vehicle velocity and...
Legged vehicles have the advantage over traditional wheeled vehicles is that they are capable of travelling on virtually any type of terrain. To realise this advantage, legged robots must possess efficient control and gait generation strategies. This paper presents a novel technique that contributes to a unique control system that has been developed to provide walking/climbing motions for an advanced...
Positioning license plates has an important role in vehicle identification and using unique identifier for vehicles is a challenging issue in the fields of traffic optimization, statistical analysis, and criminal investigations. Despite unique characteristics of license plates for Iranian and some European vehicles, more research and utilization of simple and cost efficient approaches for positioning...
Hybrid Solar Vehicles (HSV), derived by integration of Hybrid Electric Vehicles with Photo-Voltaic sources, may represent a valuable solution to face both energy saving and environmental issues, particularly in urban driving. This paper focuses on their management strategies, evidencing some significant differences with respect to the case of Hybrid Electric Vehicles. In order to develop a supervisory...
The use of standardized containers in cargo transportation has gained undoubted worldwide importance during the last four decades. At a container terminal, containers are transferred between vessels and container yard blocks by different types of transporters. Improving transporter utilization can lead to improving terminal throughput and operational efficiency. This is why dual-cycle transfer mode...
Constant increase in urban road traffic is forcing traffic authorities to confront unavoidable congestion problems these days. This creates new challenges for city planners to generate traffic routes with better designs and improve the existing roads. In order to analyze and improve traffic routes, there is a need to understand movement patterns of major vehicular traffic inside the city. Origin Destination(OD)...
Vehicle Routing Problem (VRP) has wide applications in logistics and supply chain management and thus is one of the widely studied problems in the field of Operational Research. It is also a NP-hard combinatorial optimization problem and many different kinds of algorithms and techniques have been proposed to solve VRP. There are many types of VRP and this paper concentrates on two variants: Multiple-Depot...
Plug-In Electric Vehicles (PEVs) have been developing to cope with fossil fuels pollution, which is produced by Internal Combustion Engine (ICE) vehicles in big cities. The vehicles are equipped by strong batteries, which can be charged and discharged for many times. This significant aspect enables vehicles to participate in various electricity power markets. In this paper, optimal sizing of parking...
Conventional controllers like Proportional Derivative (PD), Proportional Integral (PI) and Proportional Integral Derivative (PID) controllers were used in implementing Velocity Control Mode (VCM) in Cruise Control (CC) and Adaptive Cruise control (ACC) vehicles. Transition that occur in "resume mode" of CC and transitions that occur during switching from Distance Control Mode (DCM) to VCM...
Over the last few years, a lot of applications have been developed for Vehicular Ad Hoc NETworks (VANETs) to exchange information between vehicles. However, VANET is basically a Delay Tolerant Network (DTN) characterized by intermittent connectivity, long delays and message losses especially in low density regions [1]. Thus, VANET requires the use of an infrastructure such as Roadside Units (RSUs)...
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