2017 год, №1

Содержание выпуска
ПРИМЕНЕНИЕ KAHOOT! ПРИ ГЕЙМИФИКАЦИИ В ОБРАЗОВАНИИ
Царев Роман Юрьевич
Стр. 9 — 17
Современный уровень развития общества диктует новые требования к организации образования. Одним из актуальных направлений развития образования является геймификация образования, которая позволяет добиться высокой мотивации и вовлеченности студентов в образовательный процесс. Целью работы является проверка гипотезы о том, что использование игровых моментов в обучении, основанных на активном применении информационных технологий, в частности интернет-ресурса Kahoot!, повышает вовлеченность студента в образовательный процесс, его мотивацию при обучении, формирует комфортную среду, вызывающую интерес к изучению предметной области. Новизна исследований состоит в методической организации процесса обучения, в рамках которого выполняется текущий контроль усвоения материала, тем самым реализуя активные методы обучения. При реализации предлагаемого подхода использовалось интернет-ресурс Kahoot!, предоставляющий возможности активизации внимания и контроля усвоения материала студентами. Представленные в статье результаты подтверждают эффективность предложенного подхода и использования в его рамках Kahoot!, который позволил сформировать интерактивную электронную образовательную среду.
DEVELOPING INCIDENT DETECTION ALGORITHM BASED ON THE MAMDANI FUZZY INFERENCE ALGORITHM
Nikolaev Andrey Borisovich, Sapego Yuliya Sergeevna
Стр. 18 — 27
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
Vasyugova Svetlana Alekseevna, Nikolaev Andrey Borisovich
Стр. 28 — 37
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.
MODELLING OF DYNAMIC SPEED LIMITS USING THE MODEL PREDICTIVE CONTROL
Nikolaev Andrey Borisovich, Myo Min Khaing, Aung Myo Thwin, Moe Ko Ko, Myo Lin Aung
Стр. 38 — 51
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.
ALGORITHMS FOR TRAFFIC MANAGEMENT IN THE INTELLIGENT TRANSPORT SYSTEMS
Nikolaev Andrey Borisovich, Aung Myo Thiwn, Myo Lin Aung, Myo Min Khaing, Aung Nyi Nyi Zaw
Стр. 52 — 64
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%.
ANALYTICAL AND SIMULATION PLANNING MODEL OF URBAN PASSENGER TRANSPORT
Nikolaev Andrey Borisovich, Starikov Vladislav Sergeevich, Yagudaev Gennadiy Grigorievich
Стр. 65 — 77
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.