A Kalman filtering fuzzy logic algorithm for recognition of lane departure

2021 ◽  
pp. 1-8
Author(s):  
Kai Ren
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Kalman Filtering ◽  
Traffic Accidents ◽  
Region Of Interest ◽  
Fuzzy Logic Algorithm ◽  
The Road ◽  
Departure Decision ◽  
Lane Departure ◽  
Fusion Analysis

In all kinds of traffic accidents, the unconscious departure of the vehicle from the lane is one of the most important reasons leading to the occurrence of these accidents. In view of the specific problem of lane departure, a lane departure decision-making method is established without calibration relying on the Kalman filtering fuzzy logic algorithm, according to the characteristics of expressway lanes, based on the machine vision and hearing fusion analysis of lane departure, integrating the extraction of the linear lane line model and the region of interest (ROI) in this paper to judge the degree of vehicle departure from the lane by integrating the slope values of the 2 lane lines in the road image. The results show that the system has good lane recognition capabilities and accurate departure decision-making capabilities, and meet the lane departure warning requirements in the expressway environment.

Measurement Uncertainty in Decision-Making

2013 ◽  
pp. 193-207
Author(s):  
Claudio De Capua ◽  
Rosario Morello ◽  
Rosario Carbone
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Measurement Uncertainty ◽  
Measurement Data ◽  
Wrong Decision ◽  
Practical Applications ◽  
Fuzzy Logic Algorithm ◽  
Methodical Approach ◽  
Concrete Problem ◽  
Comparison Measurement

In this paper, the authors examine a common issue concerning the influence of measurement uncertainty on decisions. In fact, in some practical applications, it can be necessary to put in comparison measurement data with thresholds and limits. It occurs when the conformity with fixed specifications has to be verified or if warning and alert levels have to be not exceeded. In such a circumstance, to take reliable decisions in presence of uncertainty is a concrete problem. Measurement uncertainty may reasonably be the cause of unreliable decisions. In order to manage properly the uncertainty effect, the authors have developed a decision making procedure based on a methodical approach to measurement uncertainty. In detail, a fuzzy logic algorithm estimates the probability to take a wrong decision because of the uncertainty. Such information is so used in order to optimize the decisional criteria, improving the consistency of the final computing results. Risks and costs associated to the possibility to take a mistaken decision are minimized. Consequently the algorithm singles out the most reliable decision.

Analysis of the attention distraction of inexperienced drivers using a fuzzy model – research results

2019 ◽  
Vol 125 ◽  
pp. 53-62
Author(s):  
Mikołaj Kruszewski ◽  
Mirosław Nader
Keyword(s):  
Fuzzy Logic ◽  
Traffic Accidents ◽  
Fuzzy Model ◽  
Road Transport ◽  
Research Results ◽  
Eu Policy ◽  
The Road ◽  
Model Research ◽  
The Eu ◽  
The Way

Limiting the number and consequences of the traffic accidents is one of the most important goals of the EU policy for the road transport. Despite significant efforts in this area, the targets set for the 2010-2020 decade are unlikely to be achieved. This may be due to, inter alia, the increasing importance of the driver attention distraction as a factor contributing to their occurrence. In order to limit the effects of distraction, attempts are made to develop a method to detect such a state of a driver. The distraction of the driver affects the way he drives the vehicle. The authors in their earlier work conducted a research aimed at developing model for detecting states of distraction of the driver's attention, based on a change in the method of vehicle steering. The developed model uses fuzzy logic to detect distraction. This paper presents the results of this model's operation on a sample of 72 drivers, including 36 inexperienced drivers who were the main object of the tests.

Decision-making support for transportation and logistics combining rough set fuzzy logic algorithm

2021 ◽  
pp. 1-10
Author(s):  
Tian Chen
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Rough Set ◽  
Large Scale ◽  
Operating Cost ◽  
Vehicle Scheduling ◽  
Fuzzy Logic Algorithm ◽  
Logistics Mode ◽  
The Cost ◽  
Tracking Technology

To lower the operating cost of an enterprise, improving the efficiency of logistics, or reducing the cost of circulation is one of the crucial means for the enterprise to cut the costs. In this paper, combined with the rough set fuzzy logic algorithm, in response to the features of the large-scale vehicle scheduling problem, the data collected by monitoring in real time provided by the tracking technology, in conjunction with the data mining technology, are used to support the decision making based on the reverse logistics mode and establish a vehicle scheduling optimization model with the purpose to support the decision making in transportation logistics.

scholarly journals Analysis of The Impact of Fuzzy Logic Algorithm On Handover Decision in A Cellular Network

2017 ◽  
Vol 5 (5) ◽  
pp. 46-62 ◽  
Author(s):  
Emily Teresa Nyambati ◽  
Vitalice K. Oduol
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Intelligent Systems ◽  
Fuzzy Inference ◽  
Inference System ◽  
Handover Decision ◽  
Fuzzy Logic Algorithm ◽  
Gsm Network ◽  
Work Done ◽  
The Impact

Fuzzy logic is one of the intelligent systems that can be used to develop algorithms for handover. For success in handing over, the decision-making process is crucial and thus should be highly considered. The performance of fixed parameters is not okay in the changing cellular system environments. The work done on this paper aims to analyse the impact of utilising the fuzzy logic system for handover decision making considering the Global System for Mobile communication (GSM) network. The results from the different simulations show that the need to handover varies depending on the input(s) to the Fuzzy Inference System (FIS). By increasing the number of data, thus the criteria parameters used in the algorithm, an Optimised Handover Decision (OHOD) is realised.

Measurement Uncertainty in Decision-Making

2011 ◽  
Vol 1 (3) ◽  
pp. 40-52 ◽  
Author(s):  
Claudio De Capua ◽  
Rosario Morello ◽  
Rosario Carbone
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Measurement Uncertainty ◽  
Measurement Data ◽  
Wrong Decision ◽  
Practical Applications ◽  
Fuzzy Logic Algorithm ◽  
Methodical Approach ◽  
Concrete Problem ◽  
Comparison Measurement

In this paper, the authors examine a common issue concerning the influence of measurement uncertainty on decisions. In fact, in some practical applications, it can be necessary to put in comparison measurement data with thresholds and limits. It occurs when the conformity with fixed specifications has to be verified or if warning and alert levels have to be not exceeded. In such a circumstance, to take reliable decisions in presence of uncertainty is a concrete problem. Measurement uncertainty may reasonably be the cause of unreliable decisions. In order to manage properly the uncertainty effect, the authors have developed a decision making procedure based on a methodical approach to measurement uncertainty. In detail, a fuzzy logic algorithm estimates the probability to take a wrong decision because of the uncertainty. Such information is so used in order to optimize the decisional criteria, improving the consistency of the final computing results. Risks and costs associated to the possibility to take a mistaken decision are minimized. Consequently the algorithm singles out the most reliable decision.

scholarly journals Highway Traffic Accident Influence Area Based on Vehicle Bypass Decision-Making Index

2017 ◽  
Vol 2017 ◽  
pp. 1-8
Author(s):  
Zhenjun Zhu ◽  
Yang Lu ◽  
Jun Zeng ◽  
Hongsheng Chen
Keyword(s):  
Decision Making ◽  
Traffic Flow ◽  
Traffic Accident ◽  
Road Network ◽  
Traffic Accidents ◽  
Highway Traffic ◽  
Selection Probability ◽  
The Road ◽  
Influence Area ◽  
The Impact

In order to reduce the impact of highway traffic accidents on surrounding road networks, accident influence area should be determined reasonably. According to the relationship between vehicle bypass decision-making index and threshold under accident condition, the vehicles’ route choice behavior at upstream of the accident spot can be divided into two types: bypass and nonbypass. Under nonbypass condition, the method of using traffic wave theory was put forward to determine the upstream influence area. Under bypass condition, the total number of bypass vehicles is determined based on bypass decision-making index being greater than bypass threshold. Assignment algorithms based on routes were proposed. Using improved Logit model to get the selection probability and the traffic flow of each route, then traffic flow of surrounding links could be obtained. At last, the road network influenced by the accident could be determined by comparing with the level of service of each link under normal condition. The paper takes Beijing-Kunming highway as an example, and the results show that the road network formed by the influenced links was highway traffic accident influence area. Comparing with the actual survey results, correctness of the calculation method is verified. Therefore, the analytical method based on bypass decision-making is applicable to determining highway accident influence area.

Analysis on Adhesion Coefficient of Ice and Snow Pavement

2012 ◽  
Vol 446-449 ◽  
pp. 2497-2500 ◽  
Author(s):  
Chun Xiao Liu ◽  
Guo Zhu Cheng ◽  
Ya Ping Zhang
Keyword(s):  
Decision Making ◽  
Relative Humidity ◽  
Traffic Control ◽  
Traffic Accidents ◽  
Weather Condition ◽  
Safety Level ◽  
Vital Parameter ◽  
Adhesion Coefficient ◽  
The Road ◽  
Control Decision

The number of traffic accidents caused by ice and snow is generally three to four times higher than that in normal condition. In order to improve safety level when driving on ice and snow pavement, adhesion coefficient is a vital parameter need to be analyzed. The relations between adhesion coefficient and temperature, relative humidity, snow’s thickness, snow’s compactness were studied. And their relation models were established. These models may provide the basis for the road administration department to conduct traffic control decision-making according to the weather condition and the state of ice and snow.

Fuzzy Logic Models for Non-Programmed Decision-Making in Personnel Selection Processes Based on Gamification

Informatica ◽  
2018 ◽  
Vol 29 (1) ◽  
pp. 1-20 ◽  
Author(s):  
Javier Albadán ◽  
Paulo Gaona ◽  
Carlos Montenegro ◽  
Rubén González-Crespo ◽  
Enrique Herrera-Viedma
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Personnel Selection ◽  
Logic Models ◽  
Selection Processes

MEMPREDIKSI JUMLAH PRODUKSI ULOS BATAK DENGAN MENGGUNAKAN LOGIKA FUZZY DENGAN METODE TSUKAMOTO (Studi Kasus Cv. Ala Dos Roha)

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Sri Handayani Sianipar ◽  
Fince Tinus Waruwu ◽  
Lince Tomoria Sianturi
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Production Method ◽  
Production Data ◽  
Speed Up

Ulos batak toba is one of indonesia traditional fabric, precisely the traditional cloth of the batak toba. From time to time the ulos fabric was growing in terms of  type and motif. One of the companies that produces ulos batak is cv. Ala dos roha. The authors conducted this study aimed at predicting the amount of production of ulos batak to produced later. The author uses the previous request, inventory and production data using fuzzy logic tsukamoto. The final result of the calculation with this method will be more effective and efficient so as to speed up the decision making time to predict the amount of production to be produced next.Keywords: prediction, amount of  production, method of tsukamoto

Pengembangan Aplikasi Pendukung Keputusan Pemilihan Program Studi dengan Metode Fuzzy Logic (Studi Kasus: Universitas Multimedia Nusantara)

2016 ◽  
Vol 7 (1) ◽  
pp. 12-18
Author(s):  
Joko Haryanto ◽  
Seng Hansun
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
System Application ◽  
Prospective Students ◽  
Fuzzy Logic Method ◽  
Index Terms ◽  
Selection Of

This paper describes the development of decision support system application to assist students who want to enter college so that no one choose the majors incorrectly. This application uses fuzzy logic method because fuzzy logic is very flexible in data which are vague and can be represented as a linguistic variable. The purpose of this application is to assist students to choose available majors at University Multimedia Nusantara which are appropriate with his/her capabilities. This application accepts five kinds of input values i.e. Mathematics, Indonesian, English, Physics, and TIK. Received input will be processed by the calculation of the system for decision-making and the application will generate output that shows how great a match for each majors. With this application, prospective students can find out where the majors that match his/her capabilities. This application has ninety nine percentage of match result accuracy. Index Terms—fuzzy logic, decision support system, UMN, selection of major

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