scholarly journals DEVELOPMENT OF A SYSTEM FOR ASSESSING PASSENGER TRAFFIC BASED ON FUZZY LOGIC

2020 ◽  
Vol 4 ◽  
pp. 18-21
Author(s):  
Olha Pronina
Keyword(s):  
Mathematical Model ◽  
Fuzzy Logic ◽  
Public Transport ◽  
Fuzzy Inference ◽  
Technical Condition ◽  
Time Of Day ◽  
Output Variable ◽  
Passenger Traffic ◽  
Transportation Service ◽  
The City

A methodology has been developed for assessing public transport passenger traffic in the city. A mathematical model based on fuzzy logic is presented. The main criteria for assessing the attractiveness of passenger traffic are: the interval between vehicles, technical condition of the vehicle, route length, time of day. In the mathematical model, all input linguistic variables and output variable, their terms and membership functions are described. A fragment of a fuzzy knowledge base presented in the form of production rules is presented. At the exit, the dispatcher receives an output variable – the degree of confidence in the attractiveness of the route. Based on this assessment, the dispatcher can make a number of necessary changes to improve the functioning of the route. The software is implemented as a web service. This software will be convenient for dispatchers to use for planning public transport routes. Fifteen selected routes were taken for research, which are the most popular in the city. These routes were proposed for evaluation by three controllers. The results obtained from dispatchers were compared with the results of the fuzzy inference implemented in the software. The main advantage of using this software product is the ability to build a dynamic schedule based on the analysis of the dispatcher. This, in turn, will allow passengers to receive a better transportation service within the city

Formation of an optimal logistics system based on the analysis of transport infrastructure of the city of Yekaterinburg

Innotrans ◽  
2021 ◽  
pp. 3-7
Author(s):  
Yuliana E. Zhuzhgova ◽  
◽  
Viktoriya V. Savel’eva ◽  
Keyword(s):  
Public Transport ◽  
Transport Infrastructure ◽  
Logistics System ◽  
Passenger Traffic ◽  
Route Network ◽  
System A ◽  
Different Types ◽  
Abc Analysis ◽  
The City ◽  
Constant Growth

The main problems of transport infrastructure of cities are the problems of interaction of different types of transport, optimization of route flows, technical backwardness, low capacity, low speed of travel on public transport, low comfort for passengers. Currently, this is complicated by the constant growth of population and the number of cars, which invariably results in the need for optimization of an urban logistics system. A comprehensive solution to the problems presented can be the building of a network of transport hubs as a new stage in the implementation of transport reform. The article analyzes the transport infrastructure of Yekaterinburg. Based on the ABC analysis of passenger traffic, a method has been developed to identify the stopping points of the route network, which can later be transformed into transport hubs. The optimal logistics system of Yekaterinburg has been formed, consisting of three transport and logistics hubs: “Bus terminal”, “Railway station”, “Professors’” (Professorskaya).

scholarly journals Determination of the type of repair work based on the results of survey and monitoring of the technical condition of buildings

2020 ◽  
Vol 157 ◽  
pp. 06023 ◽  
Author(s):  
Aleksandr Birjukov ◽  
Anatoly Lebedkin ◽  
Yurii Birjukov ◽  
Viktor Pchelkin
Keyword(s):  
Mathematical Model ◽  
Fuzzy Logic ◽  
Set Theory ◽  
Fuzzy Set Theory ◽  
Technical Condition ◽  
Capital Investments ◽  
Repair Work ◽  
Fuzzy Logic Method ◽  
Maintenance Work

This article is devoted to structural scrutiny of a building. The technical condition of buildings affects such characteristics of a building as safety, reliability, durability and maintainability. However, in the absence of reliable information on the technical condition of buildings, structural survey or monitoring of а building in order to determine the category of technical condition is necessary. The purpose of this work is to develop an economic and mathematical model for determining the type of maintenance work based on the results of structural scrutiny and monitoring of a building. The article is of importance because the final stage of the survey gives a qualified opinion on the level of structural scrutiny of a building, and on the basis of this opinion repair work eliminating physical and moral deterioration and providing in accordance with specifications renovation of the building are planned. The scientific novelty of the economic and mathematical model developed by the authors on the results of building structural scrutiny lies in the application of the fuzzy set theory and fuzzy logic method for determining of the level of physical and moral deterioration of a building consistent with a certain type of repair work and followed by the necessary capital investments.

scholarly journals Evaluating accessibility of small communities via public transit

2020 ◽  
Vol 56 (4) ◽  
pp. 59-72
Author(s):  
Antonio Danesi ◽  
Simone Tengattini
Keyword(s):  
Travel Time ◽  
Public Transport ◽  
Public Transit ◽  
Time Of Day ◽  
Educational Work ◽  
Small Communities ◽  
Schedule Delay ◽  
Total Travel Time ◽  
Travel Impedance ◽  
The City

Accessibility to and from urban centres allows small communities’ dwellers to participate in primary activities and use essential services that are not available on-site, such as educational, work and medical services. Public transport networks are supposed to enhance accessibility and pursue equity principles, overcoming socio-economical differences among people that can exacerbate during crisis. In this paper a methodology is proposed and implemented to assess small communities’ accessibility via public transit. A metric is defined based on the calculation of total travel time, taken as a proxy of travel impedance, with consideration of in-vehicle time, schedule delay and users’ arrival and departure preference curves (i.e. time-of-day functions). A “rooftops” model is specified and implemented under the assumption that travellers cannot accept (scheduled) late arrival or early departure time penalties before and after the participation in their activities in the main urban centre, as many activities rarely admit time-flexibility. Also, a public transport specific impedance factor (PTSIF) is proposed, in order to account for travel impedance determinants, which are a consequence of service scheduling and routing decisions and not due to inherent geographical and infrastructural disadvantages affecting car users too. An application of the methodology for the city of Cesena, Italy, and 90 surrounding small communities is presented. The city is served by train and bus services. Assessment of small communities' accessibility based on both total travel time and PTSIF is presented and discussed. This practice-ready quantitative method can help transport professionals to evaluate impacts on small communities’ accessibility in light of public transport service changes or reduction. Quantitative approach to support strategic decisions is needed, for example, both to assess public transport strengthening politics against depopulation of rural and marginal mountainous areas and to mitigate the effects of possible increasing concentration of services towards high-demand lines, which may follow as a consequence of budget cuts or contingencies, such as vehicle capacity reductions required by sanitary emergencies.

scholarly journals Floating Car Data and Fuzzy Logic for classifying congestion indexes in the city of Shanghai

2019 ◽  
Vol 2 ◽  
pp. 1-7
Author(s):  
Maja Kalinic ◽  
Jukka M. Krisp
Keyword(s):  
Fuzzy Logic ◽  
Traffic Congestion ◽  
Fuzzy Inference ◽  
Inference Model ◽  
Floating Car Data ◽  
The Individual ◽  
The City

<p><strong>Abstract.</strong> In this paper, we use Floating Car Data from the city of Shanghai and Fuzzy Inference model to detect congestion indexes throughout the city. We aim to investigate to which extent traffic congestion is severe during afternoon rush hour. Additionally, we compare our results to the ones obtained by calculating congestion indexes on conventional way. Although we do not argue that our model is the best measure of congestion, it does allow the mechanism to combine different measures and to incorporate the uncertainty in the individual measures so that the compound picture of congestion can be reproduced.</p>

scholarly journals Development of a fuzzy expert system for power transformer diagnostics

2021 ◽  
Vol 2091 (1) ◽  
pp. 012064
Author(s):  
A P Khlebtsov ◽  
A N Shilin ◽  
A V Rybakov ◽  
A Yu Klyucharev
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Inference ◽  
Power Transformer ◽  
Early Stage ◽  
Three Dimensional ◽  
Electrical Equipment ◽  
Technical Condition ◽  
Logic Device ◽  
Operational Information ◽  
R Programming

Abstract In this paper, an expert information system for assessing the technical condition of a power transformer is developed. The system will work on the basis of the fuzzy logic device, and provide operational information about the state of the power transformer. The paper uses fuzzy inference algorithms. The R programming language is used to write a program that uses fuzzy logic. We analyzed the data of chromatographic analysis of gases dissolved in oil, as well as the data of thermal imaging images, identifying the most heated points in power transformers. A database of fuzzy logic rules has been formed. Several examples of defuzzification of the results obtained by the center of gravity method are given. As a result of the program, a three-dimensional graph was obtained that characterizes the surface of the fuzzy output. The developed software package allows you to detect defects in working electrical equipment at an early stage of their development, which not only prevents a sudden shutdown of production as a result of an accident, but also significantly reduces the cost of repairing equipment and increases its service life

Fuzzy Logic Modeling for Decision Making Processes Using MATLAB

2014 ◽  
Vol 984-985 ◽  
pp. 425-430 ◽  
Author(s):  
Thangavel Ramya ◽  
A.C. Kannan ◽  
R.S. Balasenthil ◽  
B. Anusuya Bagirathi
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Decision Making Process ◽  
Computing Environment ◽  
Output Variable ◽  
Inference System ◽  
Logic Modeling ◽  
Decision Making Processes

— This paper demonstrates to build a Fuzzy Inference System (FIS) for any model utilizing the Fuzzy Logic Toolbox graphical user interface (GUI) tools. A different conception for decision making process, based on the fuzzy approach, is propounded by authors of the paper.The paper is worked out in two sections. Description about the Fuzzy Logic Tool box is done in the first section.Illustration with an introductory example concludes the second section. Based on various assumptions the authors construct the rule statements which are then converted into fuzzy rules and the GUI tools of the Fuzzy Logic Toolbox built using MATLAB numeric computing environment is used to construct a fuzzy inference system for this process.The output membership functions are expected to be fuzzy sets in Mamdani-type inference.Defuzzification of fuzzy set for each output variable generated after the aggregation process has to be carried out. Application of information technology for Decisions in today's environment which is highly competitive are undeniable principles of organizations and helps managers in making useful decisions meaningfully.

Heading Control of a RC Helicopter by Fuzzy Logic

2013 ◽  
Vol 278-280 ◽  
pp. 1466-1472
Author(s):  
Anan Suebsomran
Keyword(s):  
Mathematical Model ◽  
Fuzzy Logic ◽  
Fuzzy System ◽  
Fuzzy Logic Control ◽  
Fuzzy Inference ◽  
Feedback Signal ◽  
Inference System ◽  
Control Approach ◽  
Logic Control ◽  
Heading Control

This research aims to control the heading of a small RC helicopter based on fuzzy logic control approach. Control of such a vehicle is normally nonlinear system. To be linear system, the mathematical model of this system would be archived and its parameters. From such difficulty of obtaining mathematical model and parameters, thus in this propose we develop the heading control of a small RC helicopter by using fuzzy logic control, which is overcome the unmodeling of such vehicle, for objective of developed control system. The performance of system is specified to control in time domain design specification. The rule based construction for designing the fuzzy system is related to input and output membership function for inference fuzzy system. Second order response time is specified, and error e and delta error (e) are conditionally assigned for constructing the rule of fuzzy inference system using Mamdani reasoning scheme. Defuzzification method applies the center of gravity (COG) method to computation the output to compensate the error and delta error signal. Finally the result of experiment reveals that the tracking of control of desire heading command and feedback signal is archived via the desired control performance in heading control of a small RC helicopter system.

scholarly journals Strategi Dinas Perhubungan Menerapkan Regulasi Angkutan Online Dalam Menambah Pendapatan Asli Daerah (PAD) Di Kota Palangka Raya

2019 ◽  
Vol 5 (1) ◽  
pp. 32-38
Author(s):  
Rahmat Hidayat ◽  
Diani Diani
Keyword(s):  
Public Transport ◽  
Municipal Government ◽  
Road Transport ◽  
Department Of Transportation ◽  
Passenger Cars ◽  
Service Strategy ◽  
Transportation Service ◽  
Negative Impacts ◽  
The Impact ◽  
The City

Public transport is transport from one place to another within the general region by using public bus cars and public passenger cars that are bound to the route remains organized. While online transport is one of the traffic and road transport events that rely on and utilize the development of science and technology. A transport device that uses a private vehicle associated with an application. The objectives of this research for the Transportation Service strategy apply the regulation of online transport in increasing the regional original income in the city of Palangkaraya. And to find out what are the positive and negative impacts of the Transportation Service strategy to apply the regulation of online transport in increasing the regional original revenue in the city of Palangkaraya. During this time the online transport has no permission (illegal) to operate which is one aspect that raises the prolonged conflict between online and public transport. Because of the impact on regional indigenous revenue since many entrepreneurs-public transport entrepreneurs may have moved to online transport. PM No. 118 the year 2018 about special rental transport is the current regulation. The research uses qualitative methods that generate descriptive data on spoken and written words. And the results of the authors of research found that the Department of Transportation has not implemented new online transport regulations because it does not have the operation license of municipal government Palangka Raya does not get retribution of the online transport with There is no additional regional income in the city of Palangka Raya.

scholarly journals PENILAIAN MUTU DOSEN TERHADAP TRI DHARMA PERGURUAN TINGGI DENGAN MENERAPKAN LOGICA FUZZY LOGIC DI STIKES NAN TONGGA

2019 ◽  
Vol 8 (2) ◽  
pp. 175
Author(s):  
Tri Monarita Johan ◽  
Renty Ahmalia
Keyword(s):  
Higher Education ◽  
Fuzzy Logic ◽  
Fuzzy Inference ◽  
Teaching Staff ◽  
Output Variable ◽  
Inference System ◽  
Quality Value ◽  
Input Variables ◽  
Collection Methods ◽  
Functional Position

Tri Dharma of Higher Education is an activity that must be carried out by every Lecturer. In this study an application was designed to apply Fuzzy logic to calculate the quality value of Lecturers on the implementation of Higher Education Tri Dharma. Higher Education has the aim of producing quality qualifications. Therefore we need competent teaching staff needed. The background of this research is to study the results obtained from the application and calculation using Fuzzy logic, also help the lecturer evaluation in the field of quality control. The Mamdani Method is often also known as the Max-Min Method. This method was introduced by Ebrahim Mamdani in 1975. To get results, four stages are needed: 1. The formation of the fuzzy set; 2. Application function implications (rules); 3. Composition of rules; 4. Affirmation (deffuzy). The results obtained in this study the value of the function that has been optimized where lecturers will get the best in performance. Data collection methods in the fuzzy inference system function meeting, the author requires input data consisting of three variables and one output variable. Input variables consist of: 1. Research Variables 2. Dedication Variables 3. Teaching Variables. 4. Functional Position Variables After calculations and experiments, the results obtained using the Fuzzy Mamdani method with Matlab

scholarly journals Fuzzy Logic Application for Drought Risk Determination in Kulon Progo Regency, Daerah Istimewa Yogyakarta Province, Indonesia

2021 ◽  
Vol 2 (1) ◽  
pp. 68-81
Author(s):  
Bertolomeus Laksana Jayadri ◽  
Agus Maman Abadi
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Inference ◽  
Risk Index ◽  
Risk Level ◽  
Drought Risk ◽  
Risk Map ◽  
Output Variable ◽  
Exposed Population ◽  
Northern Regions ◽  
Input Variables

This study aims to determine the drought risk of Kulon Progo Regency using fuzzy logic and study the characteristics. The input variables used in this study are the drought level, exposed population, and vulnerable population. The Mamdani method used in the fuzzy inference to obtain the output variable, that is, the Drought Risk Index (DRI). Then, the DRI are mapped to generate the drought risk map. The result shows that the fuzzy logic can be used to determine the drought risk. The drought risk level of the subdistricts in Kulon Progo Regency was fluctuated from 2010 to 2019. The drought risk level in 2010-2015 and 2019 were dominated by the low category. Meanwhile, the drought risk level in 2016-2018 was dominated by the very low category. Furthermore, the result also shows that the subdistricts located in the southern region of Kulon Progo Regency had a higher risk than those in the middle and northern regions during the last 10 years

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