ITS Safety Ensuring Through Situational Management Methods

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018. The paper is devoted to solving the problem of complex organizational and technical systems’ (COTS) safety improvement with the use of methods of situational management. The possibility to manage COTS with the use of decision support system, the intelligent core of which contains the object model of the precedent describing unwanted processes in the COTS, is considered. The object-oriented hierarchy model of the vehicle as a complex dynamical system is developed. To improve reliability and safety of the COTS the database of precedents is established. Precedents in this database are presented according to the developed model by which the analogues search procedure is performed and the best managerial decision is chosen

Application of the situational management methods to ensure safety in intelligent transport systems

Copyright © 2017 by SCITEPRESS-Science and Technology Publications, Lda. All rights reserved. The article shows directions of intellectualization of vehicles, analyzed issues and ways to improve safety, reliability and sustainability of transport systems. Methods of situational management are shown. They are based on intelligent technologies for improving safety of complex technical systems. Development and application of precedent expert systems is actual for systems with incomplete information and high complexity of object of management. Such systems reflect decisions by analogy, i.e. according to reports of critical situations, which are potentially dangerous for this object. The object-oriented case model describing the dynamics of dangerous conditions object is developed. Measures on prevention, localization and mitigation of dangerous conditions (such as identification of the dangerous conditions, identify their causes, the safety evaluation, forecasting of development scenarios) are envisaged

Optimal Multi-Criteria Waypoint Selection for Autonomous Vehicle Navigation in Structured Environment

International audienceThis paper deals with autonomous navigation of unmanned ground vehicles (UGV). The UGV has to reach its assigned final configuration in a struc-tured environments (e.g. a warehouse or an urban environment), and to avoid colliding neither with the route boundaries nor any obstructing obstacles. In this paper, vehicle planning/set-points definition is addressed. A new efficient and flexible methodology for vehicle navigation throughout optimal and discrete selected way-points is proposed. Combining multi-criteria optimization and expanding tree allows safe, smooth and fast vehicle overall navigation. This navigation through way-points permits to avoid any path/trajectory planning which could be time consuming and complex, mainly in cluttered and dynamic environment. To evaluate the flexibility and the efficiency of the proposed methodology based on expanding tree (taking into account the vehicle model and uncertainties), an important part of this paper is dedicated to give an accurate comparison with another proposed optimization based on the commonly used grid map. A set of simulations, comparison with other methods and experiments, using an urban electric vehicle, are presented and demonstrate the reliability of our proposals