Operational Evaluation of Uncontrolled Intersections using Artificial Intelligence Techniques

The objective of this paper is to develop and assess motorized level of service models using advanced artificial intelligence techniques like functional networks, multi-gene genetic programming and multi-variate auto-regressive spline for uncontrolled intersections under mixed traffic conditions. Thirteen intersections from India are chosen and geometric, traffic and roadside environmental data are collected using high-definition cameras. An innovative Influence for Gap Acceptance (INA) method for critical gap and follow-up-time measurement is also developed. About seven thousand effective uncontrolled intersection motorized driver responses are collected based on user satisfaction scores (1=excellent to 6=awfully bad). Eight variables with high significance effects on perceived scores from Spearman’s correlation technique are modelled. The proposed functional network model showed better efficiency with volume to capacity ratio, percentage of on-street parking and service delay showing supreme effects in level of service predictions. The imperative outcomes of this research may help transport planners and traffic engineers to quantify operational evaluation of uncontrolled intersections and take crucial decisions towards their improvement.

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A Combination Model of Multiple Artificial Intelligence Techniques Based on Genetic Algorithms for Investment Decision Support Aid : An Application to KOSPI

The e-Business Studies ◽

10.15719/geba.10.1.200903.215 ◽

2009 ◽

Vol 10 (1) ◽

pp. 215-236 ◽

Cited By ~ 2

Author(s):

안현철 ◽

Hyoung-yong Lee

Keyword(s):

Artificial Intelligence ◽

Genetic Algorithms ◽

Decision Support ◽

Investment Decision ◽

Artificial Intelligence Techniques ◽

Combination Model

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A Survey on Artificial Intelligence Techniques to Prevent Cyber Crime

International Journal of Advanced Research in Computer Science and Software Engineering ◽

10.23956/ijarcsse.v8i5.669 ◽

2018 ◽

Vol 8 (5) ◽

pp. 80

Author(s):

Juveriya Afreen

Keyword(s):

Artificial Intelligence ◽

Cyber Security ◽

Data Security ◽

Human Reasoning ◽

Cyber Crime ◽

Artificial Intelligence Techniques

Abstract-- With increase in complexity of data, security, it is difficult for the individuals to prevent the offence. Thus, by using any automation or software it’s not possible by only using huge fixed algorithms to overcome this. Thus, we need to look for something which is robust and feasible enough. Hence AI plays an epitome role to defense such violations. In this paper we basically look how human reasoning along with AI can be applied to uplift cyber security.

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Interpretation of the impact parameter of acid-base status and electrolytes in blood gas analysis in the pulmonary system using artificial intelligence techniques

Computer Science and Systems Engineering ◽

10.2495/csse140691 ◽

2015 ◽

Author(s):

E. Beganović ◽

Z. Avdagić ◽

S. Omanović

Keyword(s):

Artificial Intelligence ◽

Impact Parameter ◽

Blood Gas Analysis ◽

Gas Analysis ◽

Blood Gas ◽

Acid Base ◽

Artificial Intelligence Techniques ◽

Pulmonary System ◽

Acid Base Status ◽

The Impact

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SISTEM PAKAR MENDIAGNOSA VIRUS MAYORA DENGAN METODE VARIABLE CENTERED INTELLIGENT RULE SYSTEM (VCIRS)

KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) ◽

10.30865/komik.v2i1.916 ◽

2018 ◽

Vol 2 (1) ◽

Author(s):

Siti Nurhena ◽

Nelly Astuti Hasibuan ◽

Kurnia Ulfa

Keyword(s):

Artificial Intelligence ◽

Immune System ◽

Expert System ◽

Expert Systems ◽

Dengue Hemorrhagic Fever ◽

Hemorrhagic Fever ◽

Visual Basic ◽

Artificial Intelligence Techniques ◽

Individual Needs ◽

Rule System

The diagnosis process is the first step to knowing a type of disease. This type of disease caused by mosquitoes is one of the major viruses (MAVY), dengue hemorrhagic fever (DHF) and malaria. Sometimes not everyone can find the virus that is carried by this mosquito, usually children who are susceptible to this virus because the immune system that has not been built perfectly is perfect. To know for sure which virus is infected by mosquitoes, it can diagnose by seeing symptoms perceived symptoms. Expert systems are one of the most used artificial intelligence techniques today because expert systems can act as consultations. In this case the authors make a system to start a diagnosis process with variable centered intelligent rule system (VCIRS) methods through perceived symptoms. With the facilities provided for users and administrators, allowing both users and administrators to use this system according to their individual needs. This expert system is made with the Microsoft Visual Basic 2008 programming language.Keywords: Expert System, Mayora Virus, Variable Centered Intelligent Rule System (VCIRS)The diagnosis process is the first step to knowing a type of disease. This type of disease caused by mosquitoes is one of the major viruses (MAVY), dengue hemorrhagic fever (DHF) and malaria. Sometimes not everyone can find the virus that is carried by this mosquito, usually children who are susceptible to this virus because the immune system that has not been built perfectly is perfect. To know for sure which virus is infected by mosquitoes, it can diagnose by seeing symptoms perceived symptoms.Expert systems are one of the most used artificial intelligence techniques today because expert systems can act as consultations. In this case the authors make a system to start a diagnosis process with variable centered intelligent rule system (VCIRS) methods through perceived symptoms.With the facilities provided for users and administrators, allowing both users and administrators to use this system according to their individual needs. This expert system is made with the Microsoft Visual Basic 2008 programming language.Keywords: Expert System, Mayora Virus, Variable Centered Intelligent Rule System (VCIRS)

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