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Topology control (TC) is one of the most important techniques for connection establishments between entities in Internet of Things, especially in the scenario where there are no fixed infrastructures such as prompt sensor deployments, emergency communications, and vehicle–vehicle communications. The goal of TC is to assign per-node transmission power such that the resulting topology is energy efficient...
Aiming at the path planning and tracking of a UCAV in multiple constraints dynamic condition, the mathematic model of the UCAV is built firstly and the cost function is designed. Considering the constraints, the path nodes extension method is proposed. In response to the problem of online trajectory re-planning, we put forward the 4D path planning FISAS arithmetic in order to realize on-line path...
The main object of this paper is to design and realize a real-time autonomous driving system for intelligent vehicles by using the map information. By appointing the destination, the intelligent vehicle selects the optimal route in real-time, and reaches the specific destination without ordering the course of the travel. In addition, a simulation study which contains a number of map instances was...
Within this paper, the modality of vehicle frame is analyzed by finite element software of ALGOR, and carrying out the first 10 steps natural frequency resonance and vibration model. Using mode of two-degree-of-freedom vehicle vibration builds system's movement differential equation and simulates the frame's vibration by Simulink module of Matlab. Then make a dynamic response simulation for vehicle...
This article presents a real-time automatic system which contains optimum path selection, obstacle avoidance and position recognition in an indoor environment by robocar. Many sub-goals are set according to the experiment field especially for the crossroads. After assign the destination, it will select the shortest path for the robocar by dynamic programming. And the robocar will track the sub-goals,...
Efficient pedestrian detection is essential for intelligent vehicles and driver assistance system. An increasing number of experts have attached more importance to this subject in recent years. The input of this task is a video captured by a monocular optical camera which is installed on a vehicle. And the aim is to locate every pedestrian in each frame of the video as soon as possible. This task...
This paper is focused on the Dynamic Vehicle Routing Problem with Time Windows (DVRPTW) in the context of real-time traffic information. The travel times are based on a time-dependent model in which the travel speeds are step functions. This model is enriched with an exponential smoothing function able to calculate the forecasted speed. This new model of travel times is used by on-line genetic algorithm...
In this paper, a dynamic vehicle routing problem with time windows (DVRPTW) was developed in the context of real-time traffic information. The objective of the problem is to minimize the travel time of the vehicles based on a time-dependent model in which the travel speeds are step functions. In order to calculate the forecasted speed, this model is enriched with an exponential smoothing function...
The real-time decision problems play a more and more important role in many areas such as the logistic distribution. This paper is focused on the Dynamic Vehicle Routing Problem with Time Windows (DVRPTW) in the context of real-time traffic information. The travel times are based on a time-dependent model in which the travel speeds are step functions. This model is enriched with an exponential smoothing...
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