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Campus security is an important part of social security in China. As reported in exist literature, very limited efforts are made to study mixed traffic flow behavior on campus. Present study attempts to highlight studies of single traffic flow or pedestrian-vehicle traffic flow. This paper deals with the research into the analysis of the characteristics of mixed traffic flow on campus, including cars,...
This paper considers the problem of vehicle suspension control from the perspective of a Vehicle-to-Cloud-to-Vehicle (V2C2V) distributed implementation. A simplified variant of the problem is examined based on the linear quarter-car model of semi-active suspension dynamics. Road disturbance is modeled as a combination of a known road profile, an unmeasured stochastic road profile and potholes. Suspension...
This paper describes a trust-based vehicle controller that can be tuned to ensure decentralized string stability in a convoy. The controller leverages the RoboTrust algorithm to mitigate risks associated with trust-based vulnerabilities, such as cyber attacks, poor decisions, and malfunctions. In our scenario, we simulate a simple convoy mission in which twelve vehicles move together between waypoints,...
Driver distraction is one of the major causes of vehicle accidents. Many people have researched methods for reducing distraction of drivers and helping them to drive safely. Many studies have concerned products that monitor the state of drivers directly or indirectly and warn them of risk. In some previous studies, test subjects were forced to drive normally and inattentively to find the distinct...
Recent advances in wireless communications have led to the development of vehicular ad hoc networks (VANETs). It has attracted the interest of both industrial and academic communities due to its potential in reducing accidents and saving lives. In VANETs, vehicles can communicate with each other to exchange traffic and road information. One of the challenges in VANETs is to determine the location...
Existing public transportation networks are usually regarded as being static with respect to their topology. However, in fast growing cities, new lines are added, sometimes focusing only on the demand, without regard to overall efficiency of the system. In this work we propose the application of techniques from evolutionary computation. The aim here is to improve the efficiency of public transportation...
To achieve a reasonable power split scheme of Li battery pack and supercapacitor hybrid electric vehicles, we propose dynamic programming (DP) based predictive control algorithm (PCA) in this paper. First, the model of the vehicle plant is established consisting of mathematical models of supercapacitor and Li battery pack. Then, the PCA based control system is designed in order to make full use of...
Bike sharing systems are present in several modern cities. They provide citizens with an alternative and ecological mode of transportation, allowing them to avoid the use of personal car and all the problems associated with it in big cities (i.e., traffic jam, roads reserved for public transport, …). However, they also suffer from other problems due to their success: some stations can be full or empty...
In this paper we propose a new method for travel time prediction using a support vector regression model (SVR). The inputs of the method are data from license plate detection systems and traffic sensors such as induction loops or radars placed in the area. This method is mainly designed to be capable of dealing with missing values in the traffic data. It is able to create many different SVR models...
In this paper we propose a strategy to use messages posted in a blogging platform for real-time sensing of traffic-related information. Specifically, we use the data that appear in a blog, in Portuguese language, which is managed by a Brazilian daily newspaper on its online edition. We propose a framework based on two modules to infer the location and traffic condition from unstructured, non georeferenced...
In our research, we have studied the autonomous running control system of the automatic guided vehicles (AGV) used in the manufacturing facilities using the tablet PC. The moving direction of automatic vehicle is controlled by the results of image processing methods on captured images of the tablet PC. In the image processing step, after detecting edges we obtain wall-floor boundaries by analyzing...
In the paper an idea to apply evolutionary computation method with dedicated fitness function in dynamic system simulation and positioning is presented. Dedicated evolutionary system's efficiency in simulation, optimization and positioning of examined object is discussed. Presented experiments show common duty as well as extensive, overloading and dangerous situations at work. Research results are...
An electric vehicle auto-recharging station is a component in an infrastructure supplying electric energy for the recharging of plug-in electric vehicles. An auto-recharging station is usually accessible to an autonomous driverless vehicle driven by intelligent algorithms. A driverless vehicle is assumed to be capable of autonomously searching and navigating it into a recharging station. In this paper,...
Genetic adaptive A-Star searching algorithm for optimizing the running profile of a train in a trip under certain constraints is studied. The train trip profile optimization problem is formulated as a multi-constraints nonlinear optimization problem, and the corresponding use of A-Star searching algorithm is introduced. NSGA-II is employed for the adaptive parameters selection of A-Star searching...
In this paper, a new methodology for robust segmentation of obstacles from stereo disparity maps in an on-road environment is presented. We first construct a probability of the occupancy map using the UV-disparity methodology. Traditionally, a simple threshold has been applied to segment obstacles from the occupancy map based on the connectivity of the resulting regions; however, this outcome is sensitive...
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