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Hardware simulation of automatic braking system based on fuzzy logic control
2016
Journal of Mechatronics, Electrical Power, and Vehicular Technology
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This paper presents the design of ABS based on fuzzy logic which is simulated in hardware by using a remote control car. ...
The inputs of fuzzy logic are the speed and distance of the object in front of the vehicle, while the output of fuzzy logic is the intensity of braking. ...
Authors wish to thank the DIKTI DP2M for financial support through Penelitian Hibah Bersaing 2014 and 2015. ...
doi:10.14203/j.mev.2016.v7.1-6
fatcat:3ecfkhachvc7fjtj2ijiejpozy
An Fuzzy-based Risk Reasoning Driving Strategy on VANET
2015
Journal of Internet Computing and services
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This paper proposes an Fuzzy-based Risk Reasoning Driving Strategy on VANET. ...
Therefore, this paper not only prevents collision accident beforehand by reasoning the risk happening to pedestrians and vehicles but also decreases the loss of various resources by reducing traffic jam ...
The Performance Analysis The proposed risk reasoning driving strategy based on fuzzy on VANET prevents vehicle collision between vehicles and between a vehicle and a pedestrian beforehand, achieves fuel ...
doi:10.7472/jksii.2015.16.6.57
fatcat:he4xy4orvncxzkuffxmxrfzena
Study and Simulation Analysis of Vehicle Rear-End Collision Model considering Driver Types
2020
Journal of Advanced Transportation
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Finally, the improved car-following safety model is established based on different reaction time. ...
Then, on the basis of this, drivers are classified according to reaction time. ...
Acknowledgments is work was partially supported by the Guangzhou Municipal University Research Project (1201630172), Natural Science Foundation of Guangdong Province (2017A030313293), National Natural ...
doi:10.1155/2020/7878656
fatcat:an5cti72djg7llajwgym4kyiy4
Enhanced emotion enabled cognitive agent-based rear-end collision avoidance controller for autonomous vehicles
2017
Simulation (San Diego, Calif.)
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Furthermore, these fuzzy logic based controllers have been proposed without using proper agent based modeling that helps in mimicking the functions of an artificial human driver executing these fuzzy rules ...
This problem with precise control based rear end collision avoidance schemes has been addressed using fuzzy logic, but the excessive number of fuzzy rules straightforwardly prejudice their efficiency. ...
based controller in the car following model. ...
doi:10.1177/0037549717742203
fatcat:pbleanq3azfhfcstz6cornajcq
Road collisions avoidance using vehicular cyber-physical systems: a taxonomy and review
2016
Complex Adaptive Systems Modeling
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One implication of complexity is that road traffic collisions have become an unwelcome but unavoidable part of human life. One of the major causes of collisions is the human factor. ...
While car manufacturers have been focusing on developing feasible solutions for autonomous and semi-autonomous vehicles to replace or assist human drivers, the proposed solutions have been designed only ...
Competing interests The authors declare that they have no competing interests. Received: 19 December 2015 Accepted: 6 July 2016 ...
doi:10.1186/s40294-016-0025-8
fatcat:gncetnt6abf35clan4desxdyzm
A State of the Art on the Most Relevant Patents in Vertical Transportation in Buildings
2009
Recent Patents on Computer Science
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In this sense, the most relevant companies are adopting strategies based on the protection of their discoveries and inventions as registered patents in different countries throughout the world. ...
Methodologies such as fuzzy logic, artificial neural networks, genetic algorithms, ant colonies, or multiagent systems are being successfully proposed in the scientific literature, and are being adopted ...
ACKNOWLEDGEMENTS The authors would like to thank MACPUAR, S.A. (Spanish elevator company) for the support of this research line since 2000. Also, the authors acknowledge the financial ...
doi:10.2174/2213275910902020096
fatcat:w44rqlv6fba2lmsmbhvjehkhim
Multi-Factor Rear-End Collision Avoidance in Connected Autonomous Vehicles
2022
Applied Sciences
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Based on these factors' results, this paper presents a driver assistance system for collision avoidance. ...
We used MATLAB's Fuzzy Inference System Tool to analyze the categories of accident contributing factors. Fuzzy results are validated using the VOMAS agent in the NetLogo simulation model. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/app12031049
fatcat:zuzam5p46fbitfmyzwta44pheq
Controller for Urban Intersections Based on Wireless Communications and Fuzzy Logic
2010
IEEE transactions on intelligent transportation systems (Print)
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We defined fuzzy output variable membership function shapes using Sugeno's singletons [25] , which are based on monotonic functions. ...
of making the best decision in driving a vehicle through an intersection point as a function of the traffic conditions and based on fuzzy logic. ...
doi:10.1109/tits.2009.2036595
fatcat:3j7cgogvdzbutelxtmus7p5oca
A Review of Research on Pedestrian-vehicle Conflict in Non-signal-controlled Road Sections
2022
Academic Journal of Science and Technology
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However, there are many places on domestic crosswalks without signal control, which leads to the interaction between vehicles and pedestrians on the crosswalk, which will not only cause traffic congestion ...
It is of great significance to improve the traffic efficiency to strengthen the understanding of the seriousness of the conflict between people and vehicles in the non-signal control section, and to prevent ...
[5] proposed a pedestrian-vehicle interaction and collision avoidance mechanism modeling framework based on Markov Game (MG). ...
doi:10.54097/ajst.v1i3.526
fatcat:m7xhgubqbjeg5fn3bxpnquyolu
A forward collision avoidance algorithm based on driver braking behavior
2019
Accident Analysis and Prevention
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The curves are then clustered into different risk levels based on spectrum clustering, using curve distance and curve changing rate as dissimilarity metrics among deceleration curves. ...
Assuming risk levels are reflected by braking profiles, deceleration curves from critical evasive braking events from the Virginia "100-car" database were first extracted. ...
The authors would also thank Virginia Tech for providing the "100-car" naturalistic driving data, and Marco Dozza from Chalmers -University of Technology for providing the Natware visualization tool. ...
doi:10.1016/j.aap.2019.05.004
fatcat:gw3bhfwrsvgd5gzywyxfuu2ifa
Detection of Road Traffic Congestion Using V2V Communication Based on IoT
2021
Iraqi Journal of Science
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This paper introduces an early traffic congestion alert system in a vehicular network, using the internet of things (IoT) and fuzzy logic, for optimizing the traffic and increasing the flow. ...
The proposed system detects critical driving conditions, or any emergency situation blocking the road, and broadcasts remote warnings to the following vehicles. ...
The input to the fuzzy controller is responsive to the sensing distance (D) within the environment. Depending on the sensed distance, the fuzzy controller determines the action of the robotic car. ...
doi:10.24996/ijs.2021.62.1.32
fatcat:t4apilmu5fdcrcg7jcx6ycydza
Malicious vehicle detection based on beta reputation and trust management for secure communication in smart automotive cars network
2021
TELKOMNIKA (Telecommunication Computing Electronics and Control)
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The trust model is based on adaptive neuro fuzzy inference system (ANFIS) which takes trust metrics as input to evaluate the trustworthiness of the vehicles. ...
In these circumstances, to protect the network from malicious vehicles, reputation system based on beta probability distribution with trust management model has been proposed to differentiate trustworthy ...
The automotive car onboard network is a subclass of VANET where one subclass of mobile ad hoc network (MANET) is VANET [1] . ...
doi:10.12928/telkomnika.v19i5.19358
fatcat:abqr7iohgzforjh6kzdsbfezza
Pre-crash control strategy of driver assistance system
2021
Neural Network World
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The methodology is based on the classification of ADAS systems according to the situations of unavoidable accidents. ...
Then the decision making takes new inputs to the control process and it enriches the multiparametric control of the system with the target to minimise the consequences. ...
Acknowledgement This research has been realized using the support of Technological Agency, Czech Republic, programme National Competence Centres, project # TN01000026 Josef Bozek National Center of Competence ...
doi:10.14311/nnw.2021.31.004
fatcat:fdx5umzlandyjpvol64s2jnfbq
Reliability Research Reviewed of Automobile Seat Angle-Adjuster
2017
World Journal of Engineering and Technology
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The reliability of the automobile seat angle-adjuster directly affects the safety of vehicle. The reliability of the seat angle-adjuster is improved based on bench test. ...
That provides technical support for the design improvements of seat angle-adjuster. ...
So reliability analysis method based on fuzzy theory and neural network become a new research method to solve the problem. ...
doi:10.4236/wjet.2017.51001
fatcat:qugwclrayfaodno32eftte6ttq
Overtaking opponents with blocking strategies using fuzzy logic
2010
Proceedings of the 2010 IEEE Conference on Computational Intelligence and Games
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The behavior we developed has been integrated in an existing fuzzy-based architecture for driving simulated cars and tested using The Open Car Racing Simulator (TORCS). ...
In car racing, blocking refers to maneuvers that can prevent, disturb or possibly block an overtaking action by an incoming car. ...
It is based on a classical three-layers hierarchy architecture: a perception layer where the input signals are acquired from the sensors, a control layer where actions are taken based on the input signals ...
doi:10.1109/itw.2010.5593364
dblp:conf/cig/OnievaCLL10
fatcat:n7v3cbcc3rgyrfsf4x6vmxwex4
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