Intelligent transport systems development

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Vadim Shmal. Intelligent transport systems development

INTRODUCTION

1 BASIC PRINCIPLES OF INNOVATION AND INVESTMENT ACTIVITY IN THE CONTEXT OF REFORMS

2 GOALS AND OBJECTIVES OF CREATING INTELLIGENT TRANSPORT SYSTEMS (ITS) IN RAILWAY TRANSPORT

2.1 The main development directions

2.2 Current issues of ITS development

2.3 Development of intelligent train operation management technologies

2.4 Goals and objectives of ITS creating in railway transport

3 MODERN SCIENTIFIC AND METHODOLOGICAL APPROACHES TO THE ITS CREATION IN RAILWAY TRANSPORT

4 AUTOMATED DISPATCH CENTERS AS INTEGRATED INTELLIGENT TRANSPORTATION PROCESS MANAGEMENT SYSTEMS

5 WAYS OF TRANSITION TO INNOVATIVE TECHNOLOGIES OF THE ORGANIZATION OF MOVEMENT OF FREIGHT TRAINS ACCORDING TO THE SCHEDULE

5.1 Methodology and algorithm for calculating the fixed schedule lines

5.2 Tasks intended for sections and directions

5.3 Criteria and local performance indicators in train and freight work control

5.4 Regulatory measures and advanced techniques in train and freight work control

6 SCIENTIFIC SUPPORT FOR THE DEVELOPMENT OF INTELLIGENT TRANSPORT SYSTEMS

6.1 The risky situation life cycle in the field of transport company development

6.2 Risk neutralization methods analysis in railway transport

6.3 Training classifiers systems

6.4 Intelligent process analysis

6.5 Searching in the state space

6.6 Knowledge representation and reasoning

6.7 Genetic algorithms and their application possibilities for solving optimization problems in transport systems

6.8 Artificial neural networks (ANN)

6.9 Multi-agent system

6.10 Adaptive management

6.11 Knowledge Engineering

6.12 Machine learning

List of used literature

Отрывок из книги

In the Transport Strategy of the Russian Federation until 2030, the development of intelligent transport systems (ITS) is one of the directions for the formation of a unified transport space of Russia based on the balanced development of transport infrastructure. This is due to the fact that over the past decades, the rapid development of technology has led to the development of various automated systems that have become a reliable working tool for railway transport management. Extensive experience has been accumulated in the development and implementation of various information systems, a powerful potential has been created for the development and implementation of full-fledged production process management systems. Today, the latest achievements in the field of information and telecommunication technologies make it possible to realize the accumulated potential and switch to the information management system of production processes of JSC «Russian Railways», i.e. the creation of a Unified intelligent control system and automation of production processes in the railway transport industry. It is the main automated control system based on the use of the latest scientific developments aimed at improving the quality of transport services and optimizing the interaction of all production units of JSC «Russian Railways». This approach will allow automating with the use of artificial intelligence a number of tasks: the implementation of coordinated integrated operational work management based on the use by all participants of a single information model describing end-to-end production processes covering the activities of operational personnel of all directorates and all levels of management using an integration platform; the possibility of implementing operational automated legally significant information technology interaction of the parties involved in the Unified Technological Process (ETP) within the framework of a single shift-daily and current planning, execution and control of the execution of agreed and approved operational plans; efficiency of fixing physical operational events by ensuring the interaction of system components with floor-mounted devices of railway automation, devices for monitoring the technical condition of rolling stock on the train, identification systems of rolling stock and traction stock using radio frequency identification devices and GLONAS; personification of the responsibility of operational and dispatching personnel when processing documents of technological workflow, fixing operational events in the system, for account of the use of electronic subsystems; the possibility of implementing end-to-end automated control of the modes of execution of technological processes by the operational personnel of the directorates; the possibility of automated end-to-end control of exceeding the maximum permissible (regulatory, budgetary) elements of the costs of technological processes; operational forecasting and cost estimation of non-production losses of technological processes. This intelligent system will provide a high economic effect, provided that the volumes of freight and passenger traffic are carried out in a high-quality and timely manner, the rhythmicity of traffic is observed and the loading is evenly distributed, while social and national transportation is mandatory and traffic safety is ensured.

The methods, models and decision support systems described in the textbook, aimed at creating intelligent technologies in operational work, will serve to more reasonably set and solve complexes of tasks for the creation of intelligent transport.

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Complexes of functional additions by the size of the territory of action can be classified into local (150 km), regional (1000 km), wide-band (up to 5000 km).

An example of a wide-band system of functional additions is the system of differential correction and monitoring of radio navigation fields (SDCM). The Russian SDCM is a functional addition to the GLONASS and GPS satellite navigation systems, which improves their characteristics for solving tasks requiring high accuracy and reliability.

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