scholarly journals Anti-Lock Breaking System Pada Krl Commuter Line Jabodetabek Sebagai Penunjang Keselamatan Mengunakan Fuzzy Inference System

2018 ◽  
Vol 1 (2) ◽  
Author(s):  
Sam Ali Nurdin ◽  
Ketut Bayu Yogha Bntoro
Keyword(s):  
Public Transportation ◽  
Fuzzy Inference ◽  
Online Media ◽  
Wheel Slip ◽  
Inference System ◽  
The Public ◽  
The Road ◽  
Braking System ◽  
Logical Method ◽  
Electric Train

The public transportation model which is currently widely used by people who live in Jakarta, Bogor, Depok, Tangerang and Bekasi (JABODETABEK) is the Commuter-Line Electric Train (KRL). According to online media sources(http://Kompas.com 2 December 2015), currently, the JABODETABEK Commuter-Line KRL can carry 900,000 passengers every day. Anti Lock Braking System (ABS) is a braking system that maintains the position of the wheels and the road to prevent tire/wheel slip. Anti Lock Braking System was first used or applied to aircraft. Vehicles that are not equipped with the Anti-lock Braking System must be updated. The driver makes optimal braking to prevent slip between the wheels and the road or rail so that the vehicle stops perfectly. In this paper, we will use fuzzy inference logic to support an Anti-lock Braking System (ABS). Fuzzy inference is a logical method because when determining variables in the fuzzy method, the variable must have an International Standard (SI).

scholarly journals Influence of Socio-Cultural Attributes on Stigmatizing Public Transport in Saudi Arabia

2021 ◽  
Vol 13 (21) ◽  
pp. 12075
Author(s):  
Kh Md Nahiduzzaman ◽  
Tiziana Campisi ◽  
Amin Mohammadpour Shotorbani ◽  
Khaled Assi ◽  
Kasun Hewage ◽  
...  
Keyword(s):  
Public Transport ◽  
Public Transportation ◽  
Fuzzy Inference ◽  
Fuzzy Model ◽  
Privacy Concern ◽  
Inference System ◽  
The Public ◽  
Expert Opinions ◽  
Study Results ◽  
Bus Service

Several factors over the years have contributed to stigma in public transport. Many studies have highlighted the need to make the transport system more equitable both from economic and gender perspectives. This study attempts to demonstrate how the perceptions of public transport users and non-users are stigmatized from social and cultural standpoints. Thus, it identifies the social and cultural stigma-induced barriers embedded with the use and people’s general perception about the public bus service, taking SAPTCO (Saudi Public Transport Company) as a case study. The study results suggest that privacy concern is the primary cause of stigma. Most of the users are unwilling to ride with their families as SAPTCO does not account for gender needs (e.g., privacy, travel convenience, safety, comfort, etc.). Moreover, people from the high-income classes are more stigmatized against this ridership. A fuzzy inference system (FIS) model is used to analyze the survey questionnaire responses and understand what stigma means for the public bus service. Expert opinions are employed to generate “if–then” rules of the FIS models. Sensitivity of the defined fuzzy model is conducted to different aspects of the ridership. The study results further suggest that “inconvenience” poses the highest impact while “feeling safe”, “privacy”, “fare”, “timing”, and “comfort” are found to be the medium impact-making variables for stigma. The stigma-defining variables would be critical for the public bus service to improve its service quality and help (re-)design the policies that would attract a high amount of ridership. Some solutions are suggested in the end that would complement, strengthen, and promote the current SAPTCO service. The demonstrated methodology of this study would be relevant and adaptive to any relevant context to improve public transportation service and pertaining policies.

scholarly journals Traffic Density Classification Using Twitter Data and GPS Based On Android Application

2020 ◽  
Vol 14 (2) ◽  
pp. 113
Author(s):  
Mohammad Afrizal ◽  
Idham Ananta Timur
Keyword(s):  
Public Transportation ◽  
Traffic Density ◽  
The Public ◽  
The Road ◽  
Twitter Data ◽  
Average Accuracy ◽  
Android Applications ◽  
On The Road ◽  
The City ◽  
Special Region

Increasing the number of vehicles in Special Region of Yogyakarta caused by congestion occurred at various traffic points in Special Region of Yogyakarta. The solution to reducing congestion is by increasing the use of public transportation within the city, but it still not in demand by the public. Optimizing daily activities, community always tries to avoid the traffic density on the road to be bypassed.Some research on social media has been used to detect traffic density anomalies. However, the system still cannot provide traffic density information on roads that will be passed by the user because it is just a mapping. Based on this problem, this study aims to classify the traffic density on the road that will be passed by users in the Special Region of Yogyakarta into the category of high traffic and low traffic by utilizing Twitter and GPS data.The results show that Android Applications are able to classify traffic density on the road to be traversed using Geonames.org API. Using the naïve bayes classification algorithm, the system can classify traffic density on 14 streets with an average accuracy of 77.5%, 90% precision, 79.1% recall, and 82.8% f-score.

scholarly journals Perancangan Alat Pendeteksi Kualitas Minyak Goreng Dengan Parameter Viskositas Dan Densitas Mengggunakan Metode Fuzzy Logic

2021 ◽  
Vol 11 (1) ◽  
pp. 22-28
Author(s):  
Alex Surapati ◽  
Azam Zyaputra ◽  
Reza Satria Rinaldi
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Oil Quality ◽  
Test Results ◽  
Inference System ◽  
The Public ◽  
Cooking Oil ◽  
Market Needs

AbstrakThe quality of cooking oil sold in the market needs to be checked to ensure its health. cooking oil quality detector is designed to make it easier for the public to know the quality of the cooking oil. The research method is to make tools and conduct testing. The test is carried out by measuring the viscosity and density using the tool made. When the viscosity of 985 fuzzification was "good", and the density was 542.93 Kg/mL of "good" fuzzification, the fuzzification was processed by a fuzzy inference system, then defuzzification occurred in the form of oil quality results. fried "good". When the viscosity of 932 fuzzification is "sufficient", and the density is 618.69 Kg/mL of "moderate" fuzzification, a fuzzy inference system occurs, a defuzzification process is "moderate", when the viscosity of 926 fuzzification is "bad", and a density of 631.31 Kg/mL fuzzification "bad", fuzzy inference system occurs, defuzzification process occurs with "bad" results. To ensure that the results are accurate, the sample is taken to the BPOM which measures free fatty acids. From the BPOM test results converted to viscosity and density. In order to obtain an accurate conversion value between viscosity and density, it is recommended that a large number of samples be tested..Keywords: viscosity, density, fuzzy logic

scholarly journals PREDIKSI PENGGUNA BUS TRANS SARBAGITA DENGAN METODE ADAPTIVE NEURO FUZZY INFERENCE SYSTEM

2013 ◽  
Vol 2 (3) ◽  
pp. 46
Author(s):  
SLAMET SAMSUL HIDAYAT ◽  
I PUTU EKA NILA KENCANA ◽  
KETUT JAYANEGARA
Keyword(s):  
Least Squares ◽  
Public Transportation ◽  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Learning Algorithm ◽  
Hybrid Learning ◽  
Inference System ◽  
Transportation Services ◽  
Neuro Fuzzy ◽  
Two Phases

Trans Sarbagita is a public transportation services people at Denpasar, Badung, Gianyar and Tabanan. Trans Sarbagita is aimed to resolve a problems caused by accretion volume of vehicles in Bali. This study conducted to forecast the number of Trans Sarbagita passengers in 2013 using ANFIS. The ANFIS system composed by five layers where each layers has a different function and its divide in two phases, i.e. forward and backward phases. The ANFIS uses a hybrid learning algorithm which is a combination of Least Squares Estimator (LSE) on forwards phases and Error Backpropagation (EBP) on the backward phases. The results show, ANFIS with six inputs with M.F of  Pi  produces smallest error, compared to seven and eight input and M.F gauss and generalizedbell. Forecast of Trans Sarbagita passenger numbers in 2013 have to fluctuated every day and the average of passenger’s Trans Sarbagita for a day is 1627 passengers with MSE equal to 10210 and MAPE is 4.01%.

Optimalisasi Lampu Lalu Lintas dengan Fuzzy Logic

2013 ◽  
Vol 5 (2) ◽  
pp. 58-62 ◽  
Author(s):  
Adhitya Yoga Yudanto ◽  
Marvin Apriyadi ◽  
Kevin Sanjaya
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Fuzzy Inference ◽  
System Control ◽  
Light Control ◽  
Traffic Light ◽  
Inference System ◽  
Traffic Lights ◽  
The Road ◽  
Traffic Light Control

The traffic lights problem is already commonly found in large cities. The traffic lights are supposed to control the flow of the road, but sometimes causes a congestion. This happens because the distribution of the time are all the same for all lines, without seeing the condition of the density of each lane. There’s one effort that can be done to overcome this problem, is to create a traffic light control system. With this system, the congestion that occurs around the traffic lights can be reduced. This system is using fuzzy logic. Fuzzy logic is one of computer science that studies about the value of truth that worth a lot. For example, a air conditioning system control subway Sendai in Japan. As for making a traffic light control system, the author using Fuzzy Inference System (FIS) that already exist in the application of MATLAB R2013a with Mamdani method. Index Terms —fuzzy logic, traffic lights, MATLAB.

Analysis of Factors Influencing the Determination of Land Compensation Value of PLN Tower on the Construction of TL 150 KV Kuala-Binjai

2021 ◽  
Vol 8 (9) ◽  
pp. 184-188
Author(s):  
Sahril A ◽  
Nazaruddin Matondang ◽  
Sugiharto Pujangkoro
Keyword(s):  
Public Transportation ◽  
Legal Aspect ◽  
Central Business District ◽  
The Public ◽  
The Road ◽  
Descriptive Research ◽  
The Government ◽  
Quantitative Descriptive ◽  
Business District ◽  
Transportation Route

The purpose of the study is to find out and analyze how much influence the distance of tower land the central business district (CBD), distance of tower land to the government office, legal aspect of tower land, distance of the tower land to the public transportation route, and road class classification on land compensation value of PLN Tower on the construction of TL 150 KV Kuala-Binjai. This research is a quantitative descriptive research. The location of the research object is in Langkat Regency and Binjai City, North Sumatra Province, totaling 40 objects of land compensation value. All populations are as samples. The analytical method used is multiple linear regression. The results showed that the distance of the tower land to the central business district (CBD) has a significant effect on land compensation value. The distance of the tower land to the government office has a significant effect on land compensation value. The legal aspect of tower land has a significant effect on land compensation value. The distance of the tower land to the public transportation route has no significant effect on land compensation value. The road class classification has no significant effect on land compensation value. Keywords: Central Business District, Government Office, Legal Aspect, Public Transportation, Road Class Classification, Land Compensation Value.

scholarly journals Model for Estimating Urban Mobility Based on the Records of User Activities in Public Mobile Networks

2020 ◽  
Vol 12 (3) ◽  
pp. 838 ◽  
Author(s):  
Krešimir Vidović ◽  
Marko Šoštarić ◽  
Sadko Mandžuka ◽  
Goran Kos
Keyword(s):  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Telecommunication Networks ◽  
Urban Mobility ◽  
Mobile Telecommunication ◽  
Model Quality ◽  
Model Learning ◽  
Inference System ◽  
Mobility Index ◽  
The Public

Urban mobility of a population is usually estimated within procedures that focus on specific domains, using limited datasets, indicators, and indices related to the targeted subsets of the urban population. This paper proposes a new approach to urban mobility estimation, based on the telecommunication activities within the public mobile telecommunication networks. The urban mobility indicators in this research are generated from a database of mobile phone users call data records and are integrated into the urban mobility index of the population based on the model defined through the adaptive neuro-fuzzy inference system (ANFIS). The following has been considered in the process: an initial fuzzy inference system, model learning, model quality control, limitations, errors, and deficiencies. The model is practically applied in the programming environment, on a set of real word data. The research results prove the following hypothesis set in this paper: the urban mobility of inhabitants in a specific timeframe, can be described with an urban mobility index based on the data on the recorded telecommunication activities of the public mobile communication network users.

scholarly journals Identification and Classification of Slippery Winter Road Conditions using Commonly Available Vehicle Variables

2019 ◽  
Vol 2673 (2) ◽  
pp. 60-70 ◽  
Author(s):  
Moksheeth Padarthy ◽  
Emiliano Heyns
Keyword(s):  
Fuzzy Inference ◽  
Weather Conditions ◽  
Inference System ◽  
The Road ◽  
Weather Information ◽  
Winter Road ◽  
On The Road ◽  
Longitudinal Slip ◽  
The Right ◽  
Surface Ice

Extreme winter weather conditions severely affect the transportation sector. Technologies such as Road Weather Information Systems provide live data on the road surface conditions to assist the road authorities in providing safe mobility. The main problem is, however, the limited number of such systems that have been deployed, resulting in fragmented information about road conditions. This paper addresses the problems associated with the limited quantity of information concerning slippery winter road conditions by presenting a proof-of-concept for a system that not only detects slippery winter road conditions, but also predicts the type of slippery surface (ice, snow and slush) via vehicle-based systems. The concept demonstrated in this paper makes use of commonly available variables, which are, longitudinal slip ratios, longitudinal acceleration and the ambient temperature to identify such situations. The developed system employs a Fuzzy Inference System that is not only capable of identifying slippery conditions but is also capable of classifying surfaces based on the extent of slipperiness. This provides the road authorities with several moving sensors (vehicles traveling on a particular road) compared with the few fixed sensors currently available. This could deliver a pool of information to assist the road authorities to efficiently handle their staff and equipment so that appropriate equipment reaches the right place at the right time.

scholarly journals MODEL PILIHAN TRANSJAKARTA DENGAN PERBAIKAN WAKTU TEMPUH PENGGUNA JALAN GAJAH MADA DENGAN PENERAPAN ERP

2020 ◽  
Vol 3 (3) ◽  
pp. 671
Author(s):  
Rini Martini ◽  
Najid Najid
Keyword(s):  
Public Transportation ◽  
Road Pricing ◽  
Traffic Density ◽  
Observation Data ◽  
Questionnaire Data ◽  
Heavy Vehicles ◽  
Round Trip ◽  
The Public ◽  
The Road ◽  
The Relationship

Transjakarta is one of the public transportation facility provided by Indonesian government to decrease of the traffic in Jakarta, but when this government is planning to implement new traffic rules ERP (Electronic Road Pricing) or streed paid. In this study, will be discussed about the condition on jl. Gajah Mada, segment road is an access to the road towards the center of the shopping and office. To analyze the volume of vehicles will be used method of observation directly to obtain the volume, speed and traffic density. Direct observation is done by paying attention to private vehicles and heavy vehicles. With the observation data will get a graph of the relationship between speed and density that will be modified eith questionnaire data. Questionnaire data is distributed to get the percentage of Transjakarta with feeder total round trip cost with travel time. In this study it is expected to know the percentage of private vehicle users who will switch to Transjakarta with their feeders after the ERP (Electronic Road Pricing) implemented on the Gajah Mada street.  ABSTRAKTransjakarta yakni salah satu sarana transportasi publik yang diberikan pemerintah Indonesia untuk mengatasi kepadatan lalu lintas di Jakarta, namun saat ini pemerintah berencana untuk menerapkan aturan lalu lintas baru yaitu ERP (Electronic Road Pricing) atau jalan berbayar. Pada penelitian ini akan dibahas mengenai kondisi lalu lintas Jl. Gajah Mada, ruas jalan ini merupakan akses pengguna jalan untuk menuju pusat perbelanjaan dan perkantoran. Untuk menganalisa volume kendaraan akan digunakan metode observasi langsung untuk mendapatkan volume, kecepatan dan kepadatan lalu lintas. Observasi langsung dilakukan dengan memperhatikan kendaraan bermotor roda empat dan dua serta kendaraan berat. Dengan data observasi akan didapat grafik hubungan antara kecepatan dan kepadatan yang akan dimodifikasi dengan data kuesioner. Data kuesioner disebar untuk mendapatkan presentase perbaikan total biaya pulang-pergi dengan waktu tempuh bus Transjakarta dengan feedernya. Pada penelitian ini diharapkan dapat mengetahui presentase pengguna kendaraan pribadi yang akan beralih ke Transjakarta dengan feedernya setelah diberlakukannya ERP (Electronic Road Pricing) di ruas Jalan Gajah Mada.

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