IMPLEMENTATION OF INCIDENT DETECTION ALGORITHM BASED ON FUZZY LOGIC IN PTV VISSIM

Traffic incident management is a major challenge in the management of movement, requiring constant attention and significant investment, as well as fast and accurate solutions in order to re-establish normal traffic conditions. Automatic control methods are becoming an important factor for the reduction of traffic congestion caused by an arising incident.In this paper, the algorithm of automatic detection incident based on fuzzy logic is implemented in the software PTV VISSIM. 9 different types of tests were conducted on the two lane road section segment with changing traffic conditions: the location of the road accident, loading of traffic.The main conclusion of the research is that the proposed algorithm for the incidents detection demonstrates good performance in the time of detection and false alarm

DEVELOPING INCIDENT DETECTION ALGORITHM BASED ON THE MAMDANI FUZZY INFERENCE ALGORITHM

Application of fuzzy logic in the incident detection system allows making a decision under uncertainty. The phase of incident detection is a process of finding difficulties in traffic. The difficulty in traffic is the main sign that there was a road accident and requires a reaction for its elimination. This leads to the use of input data that must be relevant to the vehicles and the road. These data must be considered together, and should be compared with the corresponding values for further analysis. The main parameters of the traffic flow, which can characterize its current state, are a flow rate, a volume flow.Necessary to analyze the input data received from the sensors. After processing the input data, using the previously entered fuzzy rules, will be taken action that will improve the situation in traffic or at least not allow it worse

INTERACTIVITY OF THE MODERN AUTOMATED SYSTEMS OF THE HELP TO THE DRIVER

In this article the current technologies in the field of intelligent transportation systems are investigated. The latest systems on control of the safe movement on roads are considered. The analysis of the systems of the help to the driver implemented in cars is carried out. The system concept of the help to the driver of «System help» is offered. Algorithms of work of this system which is based on the principles of interactivity and interaction are investigated. By results of researches experiment on quality of work of system concept of «System help» is made

DRIVING IN EMERGENCIES WITH USE OF SYSTEM OF THE HELP TO THE DRIVER

The purpose of this article consists in research of modern technologies in automotive industry by the analysis and carrying out technical experiment. The main attention concentrates on traffic safety, which is carried out by automation and modernization of vehicles. In article innovative solutions on implementation of the safe movement of the car are considered. The system of the help to the driver in emergencies of “System help” is offered. This system is intended for implementation of automation of certain processes of the car at those moments of the movement when the driver ignores or doesn’t notice the informing signals of system

ANALYTICAL AND SIMULATION PLANNING MODEL OF URBAN PASSENGER TRANSPORT

The article described the structure of the analytical and simulation models to make informed decisions in the planning of urban passenger transport. Designed UML diagram that describes the relationship of classes of the proposed model. A description of the main agents of the model developed in the simulation AnyLogic. Designed user interface integration with GIS map. Also provides simulation results that allow concluding about her health and the possibility of its use in solving planning problems of urban passenger transport

CONTROLLABLE MODEL OF MULTIMODAL TRANSPORTATION

This article discusses the construction of multimodal transportation models based on controlled networks. The developed model is parameterized by statistical data on international motor transportation. It is proposed to implement cargo traffic models through mechanisms of controlled networks. At the same time the flow in the controlled network determines how the transportation of goods comes from the top of the graph (source) to another (drain) on its arcs.Cargo movement around the selected graph arc is performed in accordance with the selected direction. Loads moved from the source to the drain are represented as the units of cargo

RESEARCH OF EARLY STAGES OF MODELING

In represented article the questions of estimate of accuracy of an average integral characteristics of random process in the course of imitation modeling is considered. For the purposes of analytical treatment of initial stage of modeling a conditionally nonstationary Gaussian process is analyzed as stationary Gaussian process with boundary prehistory. A model of approximant autocorrelation function is recommended. Analytical expression for variance and mathematical expectation of average integral estimation are obtained. Statistical estimation efficiency criterion, the probability of belonging to correct parameter interval is introduced. Dependences of closeness in estimation statistics clearing interval at transient behavior are researched for various types of processes

MODELLING OF DYNAMIC SPEED LIMITS USING THE MODEL PREDICTIVE CONTROL

The article considers the issues of traffic management using intelligent system “Car-Road” (IVHS), which consist of interacting intelligent vehicles (IV) and intelligent roadside controllers. Vehicles are organized in convoy with small distances between them. All vehicles are assumed to be fully automated (throttle control, braking, steering). Proposed approaches for determining speed limits for traffic cars on the motorway using a model predictive control (MPC). The article proposes an approach to dynamic speed limit to minimize the downtime of vehicles in traffic

EVALUATION OF THE FREQUENCY OF DIAGNOSTICS OF COMPONENTS AND ASSEMBLIES FOR TRANSPORT AND TECHNOLOGICAL MACHINES ON THE BASIS OF HIDDEN MARKOV CHAINS

In this article a statistical analysis of supply volumes of spare parts, components and accessories was carried out, with some persistent patterns and laws of distribution of failures of major components revealed. There are suggested evaluation models of components and assemblies reliability for the formation of order management procedures of spare parts, components and accessories for the maintenance and repair of transport and technological machines. For the purpose of identification of components operational condition there is proposed a model of hidden Markov chain which allows to classify the condition by indirect evidence, based on the collected statistics

ALGORITHMS FOR TRAFFIC MANAGEMENT IN THE INTELLIGENT TRANSPORT SYSTEMS

Traffic jams interfere with the drivers and cost billions of dollars per year and lead to a substantial increase in fuel consumption. In order to avoid such problems the paper describes the algorithms for traffic management in intelligent transportation system, which collects traffic information in real time and is able to detect and manage congestion on the basis of this information. The results show that the proposed algorithms reduce the average travel time, emissions and fuel consumption. In particular, travel time has decreased by about 23%, the average fuel consumption of 9%, and the average emission of 10%