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With the development of the automotive industry, the intelligent vehicle technology is being developed. As the development of the automotive technology, the proportion of electrical and electronic system will be expanded to more than 50%. Particularly, LDWS (Lane Departure Warning System) technique is actively developing to generate a warning signal if the lane is separated. In this paper, we apply...
We herein present a tabu search algorithm with variable cluster grouping (TSVCG for short) to deal with Multi-depot vehicle routing problem (MDVRP for short). In TSVCG, we firstly adopt variable cluster grouping to convert a complicated MDVRP to typical single depot vehicle routing problem (SDVRP for short). And then we apply a tabu search algorithm to solve each SDVRP. In the grouping process, we...
Due to high mobility and frequent disconnections in a vehicular network, reliable and efficient vehicular communication is very challenging. Previous studies focus on predicting the trajectories of single vehicles. Due to many random factors, however, there is little regularity in the movements of a single vehicle in an urban area, and this motivates us to take a holistic network perspective. With...
All mobile Communication systems are prone to both multiplicative and additive noise as a result of fading processes that contribute to noise in wireless channels. Losses occur due to the presence of tall buildings, trees, or linear addition of wide band or white noise with a constant spectral density respectively. It is also interested to study the impact of fading processes on vehicular communication...
Road traffic density estimation provides important information for road planning, intelligent road routing, road traffic control, vehicular network traffic scheduling, routing and dissemination. The ever increasing number of vehicles equipped with wireless communication capabilities provide new means to estimate the road traffic density more accurately and in real time than traditionally used techniques...
This paper proposes a novel algorithm for parking motion of a Car-like mobile robot. The algorithm presented here addresses calculating equations for planning a parking path in real time. Moreover, by incorporating the constraints of the mechanical and kinematical characteristics of the car and the geometry of the parking lot in the path planning, we can turn a parking problem into solving algebraic...
Aerial tail-sitters have drawn many attentions in recent years. The main challenge of employing these vehicles is to ensure safe and efficient takeoff and landing. The aim of the current study is to develop a gradient-base optimization algorithm for a jet aerial tail-sitter in order to obtain minimum time trajectories in transition flight phases. The vehicle is supposed to utilize thrust vectoring...
A new predictive guidance algorithm was presented for the long-range reentry vehicles to improve the real-time capability of the conventional predictive guidance. The equation of constraints in reentry flight was established. The bank angle curve of the reference trajectory was generated beforehand to supply the reference states for piecewise predictive guidance. The absolute value of the bank angle...
Vehicle dispatch plays an important part in improving event reaction ability, saving rescue time and reducing property losses in emergency system. Depth-first search (DFS) algorithm is a "blind" search which neglects weights, Johnson algorithm adopts reweighting technique, will not change the shortest path. By analyzing the characteristics and the problems of existing shortest path algorithms,...
The model of vehicle routing problem with backhauls is built based on natural description, then an improved immune algorithm for the problem is applied in which a new coding method, the adaptive mechanism of the information entropy of antibody, and evaluate function are introduced. The computational result demonstrates that the high quality solutions to the vehicle routing problem with backhauls can...
In machine vision and the vehicle recognition system, removal of moving vehicle shadows is a significant topic. In this paper, we propose a novel method to detect shadows in traffic video sequences. Firstly, a set of moving regions are segmented from the video sequence using a background subtraction technique. Secondly, the fast normalized cross-correlation (FNCC) is adopted to detect shadows in moving...
The shortcomings of some existing Particle Swarm Optimization (PSO) algorithms are analyzed and an improved discrete PSO algorithm with wheels topology which updates the particles' positions by using swap operator, swap sequence and partially matched crossover based on the local PSO is proposed in the present study. A mutation process in which all the particles are reinitialized when the swarm is...
Information system based on intelligent optimization algorithm is provided in this paper to solve the vehicle routing optimization problem with time constraint. And a hybrid optimization algorithm-PBIL combined with Ant algorithm is proposed and applied to VRP. The objective function is to minimize the cost and reduce the loss caused by customerspsila time restriction. The probability matrix of PBIL...
Vehicle accidents are a major cause of death and claim more than 40,000 lives annually in the US alone. A substantial portion of these accidents occur at intersections. Stop signs and traffic signals are some of the intersection control devices used to increase safety and prevent collisions. However, these devices themselves can contribute to collisions, are costly, inefficient, and are prone to failure...
Vehicle routing optimization problem with time constraint is researched in this paper and a hybrid optimization algorithm-PBIL combined with ant algorithm is proposed and applied to VRP. The objective function is to minimize the cost and reduce the loss caused by customerspsila time restriction. The probability matrix of PBIL algorithm is modified with the positive feedback and information disappearing...
This paper studies the delivery and pickup vehicle routing problem with time windows. The vehicle routing problems with delivery and pickup are divided into five categories. The existing papers studied mainly the anterior four categories and this paper studies the fifth category. In the problem, each customer has two time windows and the pickup and delivery at each customer can be fulfilled by being...
Determining the real-time position of an underground mining vehicle relative to a global map is a very important problem facing the mining industry. Unfortunately, techniques such as Global Positioning System (GPS) cannot be used in underground mines. Alternate approaches must therefore be explored. Promising research from the field of robotics provides a possible approach to in-mine positioning,...
Rapid prototyping allows for evaluation of design product in a short period of time. Designers or CEOs may perceive the size and appearance of the product by touching the automatically constructed physical objects produced through rapid prototyping. However, it is usually impossible to change its color, texture, and user interface. In this paper, we introduce 'Augmented Reality based Re-formable Mock-up',...
The initial alignment of the terrestrial vehicle borne strap-down inertial navigation system (SINS) is investigated. An on-the-move alignment algorithm using the information provided by an odometer, whose scale factor may have an unknown constant bias, is proposed. This algorithm is designed to take the place of the stationary-based fine alignment. The vehicle, during the fine alignment phase, is...
This paper is concerned with route control for freeway networks. The freeway network with multi-origin and multi-destination was modeled using a second order macroscopic traffic flow model. The nonlinear optimization method for traffic control was presented. The considered control measure was route diversion by Variable Message Signs (VMS).The control task was formulated as a dynamic, nonlinear, discrete-time...
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