Serwis Infona wykorzystuje pliki cookies (ciasteczka). Są to wartości tekstowe, zapamiętywane przez przeglądarkę na urządzeniu użytkownika. Nasz serwis ma dostęp do tych wartości oraz wykorzystuje je do zapamiętania danych dotyczących użytkownika, takich jak np. ustawienia (typu widok ekranu, wybór języka interfejsu), zapamiętanie zalogowania. Korzystanie z serwisu Infona oznacza zgodę na zapis informacji i ich wykorzystanie dla celów korzytania z serwisu. Więcej informacji można znaleźć w Polityce prywatności oraz Regulaminie serwisu. Zamknięcie tego okienka potwierdza zapoznanie się z informacją o plikach cookies, akceptację polityki prywatności i regulaminu oraz sposobu wykorzystywania plików cookies w serwisie. Możesz zmienić ustawienia obsługi cookies w swojej przeglądarce.
The paper deals with linear and nonlinear feedback control for a half-car model including Spencer model of the magnetorheological damper. The vehicle model was subjected to sinusoidal road excitation corresponding to a rough road of class F and selected according to the ISO 8608. All control schemes were assessed using a quality index closely related to the ride comfort and evaluated based on an averaged...
In this paper a pedestrian-vehicle mixed evacuation model is presented for the large common place which involves both pedestrians and vehicles. The total evacuation time and total saturation degree of the road network are optimized simultaneously. A multi-particle swarm optimization algorithm is proposed to simulate and optimize the interaction and cooperation between pedestrians and vehicles. The...
We present a motion planning algorithm for autonomous aggressive vehicle maneuvers. The motion planner takes advantages of the sparse stable trees (SST), the RRT* algorithm and the model predictive control (MPC) design. The use of the sparsity property helps to reduce the computational burden of the RRT* method by removing non-useful nodes in each iteration (i.e., rewiring) and therefore to quickly...
Aiming at difficulties for vehicle tracking in haze Scene, a new particle filter algorithm for tracking object vehicle is proposed in this paper. We incorporate low-rank sparse and adaptive dictionary learning template with the classical particle filter algorithm. We apply enhanced algorithm to track selected vehicle in urban traffic scene, demonstrate the performance of our method on the process...
This paper studies an uncertain time-dependent vehicle routing problem with soft time windows. A novel mathematical model which considers both transportation costs (total traveling distance and number of vehicles) and service costs (early and late arrivals) is developed, and the equations for calculating the expected total service costs are deduced under uncertainty and time-dependency. A variation...
The disaster emergency relief plays a vital role in reducing casualties and economic losses. Emergency logistics scheduling (ELS) aims at dispatching emergency resources to the victims of disasters, which is an important event of disaster relief. In this paper, a model for ELS in disaster relief is built that includes several suppliers with a variety of resources, several kinds of vehicles, and multiple...
RFID technology as a non-contact automatic identification technology is increasingly popular this year, which is widely used in vehicle communication. With the help of radio frequency identification technology, we succeed in designing vehicle electronic license (SVET), which will have a wide range of use in vehicle management. The paper focus on the study of anti-collision algorithm, based on the...
When the autonomous vehicle is running in complex unstructured road and the reference path to guide the vehicle could not be obtained directly, at this time, only sparse task list point left as the reference information. To generate a safe and smooth path in this situation for autonomous vehicle to run, we propose an improved heuristic graph search path planning algorithm to solve the problem by considering...
This article is presented based on Zigbee technology node design and algorithm of vehicle tracking localization of research, the low rate of using the Zigbee technology, the characteristics of low power consumption, low price, studies the algorithm of vehicle orbit. In this paper, the DV - Hop algorithm is based on distance vector routing distributed localization algorithm is put forward. The algorithm...
In this paper, we proposes a novel tracking algorithm combining Kalman Filter with mean-shift. Kalman Filter predicts the vehicle position in the next frame. Mean-shift finds the best candidate which has maximum similarity with the tracked vehicle in the predicted area. Kalman Filter updates its state value of vehicle position with the position of the best candidate from the mean-shift tracker. As...
Nowadays, vehicles have shown great potential in crowdsensing. To guarantee a good Quality of Service (QoS), stimulating enough vehicles to participate in crowdsensing is very necessary. In this paper, we focus on the incentive mechanism design in the vehicle-based nondeterministic crowdsensing. Different from existing works, we take into consideration that each vehicle performs sensing tasks along...
Nowadays, the rapid increase in the number of the automobiles on the highway and urban roads have created many challenges regarding the proper management and control of the traffic. Detection and tracking of vehicles using the traffic surveillance system gives more promising way to manage and control the road traffic. Vehicle surveillance represents a challenging task of moving object segmentation...
The vehicle braking force distribution of front and rear axles affects its safety directly. In order to enhance the braking safety, the changes of brake strength are considered in this paper, and an optimization algorithm for braking force distribution is designed. The method is the variable ratio method, and it can change the braking force distribution rate of front and rear axles according to the...
Path planning technology is one of the important problems in intelligent robot. Firstly, based on the characteristics of intelligent mowing robot and traditional circuitous path planning algorithm, a new "p-d" circuitous path planning algorithm was proposed in the rectangular work region, which solves the problem of the best mowing coverage. Then the geographic coordinate system was transformed...
Identifying the location of a target in an unbounded underwater environment is a challenging task. Limited and intermittent communication only adds to the difficulty of the process. Many target search algorithms use communication as an essential structural component to coordinate Autonomous Underwater Vehicles' (AUV) motion and share sensory information. Multiple algorithms also depend mainly on a...
Currently digital systems are mostly used in vehicle traffic, airplane and many other systems due to the exponential growth in the computational capabilities of processor based systems. This technology has minimized the effort, manpower and increased the traffic flow. Our research proposes algorithms for agent-based autonomous controller (ABAC) that will help to manage the road traffic in an efficient...
This paper concerns a distributed control approach of a fleet of Unmanned Aerial Vehicles (UAVs) based on a Leaderless strategy. The independent distributed particle swarm Optimization algorithms are used to develop this approach. The goal is to get a set of UAVs to fly on a 2D plane while converging to a predefined spatial configuration around a rendezvous point. The developed method would be applied...
Channel congestion is one of the major challenges for IEEE 802.11p-based vehicular ad hoc networks. To tackle the challenge, several algorithms have been proposed and some of them are being considered for standardization. Situations could arise where vehicles with different algorithms operate in the same network. Our previous work has investigated the performance of a mixed-algorithm vehicular network...
Intelligent Transport System (ITS) shall be able to incorporate transparently and seamlessly a large number of different and heterogeneous traffic system, while providing communication access to vehicles with various Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication for the development of a safety commuting service. Building a route forecasting system is a complex task, mainly...
Collision on road is a classic and important problem as it brings about great loss on humans' safety and the efficiency of the traffic system. Numerous algorithms have been proposed to address the issue, and most of the existing researches are focused on rear-end, overtaking and lane change scenarios. However, due to the massive computing process, limitation of prediction time and complex layouts...
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.