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In this paper a hybrid optimization method consisting in conjunction an evolutionary algorithm and a classical optimization method has been presented. This hybrid method has been used to select the parameters of a driver's seat of a special vehicle, which contributes directly to increase in driving comfort. A brief description of a vehicle mathematical model was formulated by using joint coordinates...
This paper presents a new method for estimation and identification of shear wind and discrete gusts of a previously unknown wind field by using an Unmanned Aircraft System (UAS). Wind estimation and identification is key in energy-efficient trajectory planning and dynamic soaring applications. The research proposes an approach for mapping a complete wind field from the collected data. Therefore, the...
A smart city is emerging as an application of information and communication technologies to mitigate the problems generated by the urban population growth. One of the smart city solutions is to establish an efficient fleet management relating to the use of a fleet of vehicles (e.g., ambulances and police vehicles). The most basic function in a fleet management system is the real time vehicle tracking...
One approach to reduce energy consumption in railway systems is to implement optimised train trajectories. These are speed profiles that reduce energy consumption without foregoing customer comfort or running times. This is achieved by avoiding unnecessary braking and running at reduced speed whilst maintaining planned arrival times. An optimised train trajectory can be realised using a driver advisory...
The PDPTW (Pickup and delivery problem with Time Windows) is an optimization vehicles routing problem which must meet requests for transport between suppliers and customers satisfying precedence, capacity and time constraints. In this paper, we present an approach based on genetic algorithm, aggregation method and minimum values for optimization of the dynamic multi-pickup and delivery problem with...
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,...
We address here a large scale routing and scheduling transportation problem, through introduction of a flow model designed on a dynamic network. We deal with this model while using a master/slave decomposition scheme, and testing the behavior on this scheme of both a GRASP algorithm and a Genetic algorithm.
Dependence on personal automobiles is becoming increasingly costly due to accelerating climate change and rising gasoline prices. It is particularly wasteful when one realizes that most car seats are typically empty. With the advancement of mobile social networking technologies, it is necessary to reconsider the principles and desired characteristics of ride-sharing systems. Ride-sharing systems can...
The objective of this paper is to find solution to the dynamic vehicle traffic routing which substantially differs from the classical vehicle routing problem in the sense of constraints and area of application. Dynamic vehicle routing address the problem of finding the least time consumable path considering change in traffic condition dynamically in our day to day traffic. Due to the complex nature...
A variable structure control law is presented according to a generic hypersonic vehicle model. First, the model is transformed into an affine system through input-output feedback linearization. Then, a structure of the control law is designed for the affine system. After the structure design of the control law, all control parameters of the control law are optimized based on a genetic algorithm. On...
An integrated control law is presented considering a nonlinear model of generic hypersonic vehicle as a plant. Based on dynamic inverse theory, the nonlinear model is transformed into an equivalent affine system. Then a dynamic inverse controller could be designed according to the equivalent system. What's more, two fuzzy logic regulars are used to adapt control parameters on line, and the fuzzy rules...
In order to meet the demands of dynamic path optimization for road-network real-time traffic information, the model of dynamic transportation network based on the fuzzy-genetic algorithm were constructed in this paper. Firstly, through the two-dimensional fuzzy design in the fuzzy logic toolbox of Matlab software, the real-time traffic flow parameters were transformed into crowdedness degree in the...
In this work, an original controller for an emergency braking system for urban traffic based on ultrasonic sensors is presented, which is optimized by means of a Genetic Algorithm. The main advantage over similar controllers available in the market today, is that in order to maintain a safe distance to the preceding vehicle, it is not necessary to know the speed of either the controlled vehicle or...
The increasing ubiquity of mobile handheld devices paved the way for the dynamic ridesharing which could save travel cost and reduce the environmental pollution. The ridematching problem with time windows in dynamic ridesharing considers matching drivers and riders with similar routes (with drivers detour flexibility) and time schedules on short notice. This problem is hard to solve. In this work,...
The scheduling of transportation systems has traditionally been done once a day. At beginning of a working day, the planner establishes which tasks will be carried out by each vehicle. Then, traffic jam, breakdown and any unexpected problem will cause delays on our timetable. In this paper, we propose to use real-time vehicle position knowledge to solve this problem. So, the planner is permanently...
This paper aims at GA's weakness and shortage of neighborhood search capability, proposed 3-opt based mutation operator, sub-path communicating operator and dynamic switching mutation of dual-point operator. The simulation results illustrate that the neighborhood search capability could be improved by this operator and the relatively steady solution could be gained as well. Hence, the research and...
Lifting body configuration is one of the typical layouts of Common Aero Vehicle(CAV), and the multi-objective optimization design of the airframe for lifting body configuration can greatly improve the integrated performance of Common Aero Vehicle. This paper establishes a numerical modeling of reentry vehicle to calculate these performance indexes such as the aerodynamic, the aerodynamic heating,...
The vehicle routing problem is an important problem in logistics. And it has taken as the NP hard problem. Most of the researchers want to get the best resources by many kinds of ways. But the real-world problem is much more difficult than the VRP. In order to make the model and get the solving strategy for the real-world VRP, the paper analysis the customers' demands and divides the problem into...
This work carries out design and implementation of a PID control algorithm utilizing genetic algorithm as an optimization technique for a novel design of a two-wheeled vehicle with an extended rod. The vehicle design offers an additional feature to the conventional inverted pendulum on two wheels. The intermediate body (IB) of the vehicle is composed of two co-axial parts connected by a linear actuator...
In this paper, a dynamic vehicle routing problem (DVRP) is solved based on hybrid predictive control strategy with an objective function that includes two dimensions: user and operator costs. To handle some undesired assignments for the users, a new objective function is designed, able to carry out the fact that some users can become particularly annoyed if their service is postponed. Genetic algorithms...
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