Fuzzy expert system for automatic transmission control

Weil, H.-G.; Probst, G.; Graf, Friederike

doi:10.1109/cca.1992.269759

Cited by 8 publications

(5 citation statements)

References 9 publications

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“…The theory of cloudy sets, when used in a logic composition, like the systems based on knowledge, is known as cloudy logic, diffuse logic or fuzzy logic. This approach is especially interesting when the mathematical model is subject to uncertainties [22,23]. The base of rules of a cloudy system is composed by a set of production rules like If ⟨ ⟩ Then ⟨ ⟩.…”

Section: Fuzzy Logicmentioning

confidence: 99%

Optimization of Transmission Signal Power through Observation of Congestion in VANets Using the Fuzzy Logic Approach: A Case Study in Highway and Urban Layout

Correa

Meneguette

Oliveira

et al. 2019

Wireless Communications and Mobile Computing

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Vehicular ad hoc networks (VANETs) have unique features and rely on vehicle-to-vehicle (V2V) communication to mitigate adversities in traffic dynamics management and to support drivers providing safety alerts. Congestions, originating from an incident, frequently endanger traffic and, consequently, cause all kinds of losses. In this scenario, the paper herein proposes eFIRST, a robust solution to autonomous detection of the current congestion condition in order to disseminate safety alerts and to reduce problems with the interruption of traffic in a section of the highway. The approach is supported only by V2V communication and the local neighborhood identification records, which are brought together in a fuzzy strategy and in the adaptive adjustment of the transmission signal power. The estimate of local traffic conditions establishes the dynamic reach of transmission for the vehicle, supporting the connective maintenance. In these circumstances, the drivers receive an alert emitted soon enough for the proper response action. The results during simulations show how the elaborated solution leads to minimized delays, with low communication overload, besides relevantly mapping the congest levels and efficiently providing the event coverage to satisfactory propagation distances inside the area of interest for the dissemination. Promptly, the alert finds vehicles far from the traffic accident located at nearly 1/6 from the evaluated extension. In accordance with the intelligent protocols, this evaluation contributes providing grants for the ratification of fuzzy approximation as an adaptive strategy to fluctuations in vehicular density in different traffic basis.

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Section: Fuzzy Logicmentioning

confidence: 99%

Optimization of Transmission Signal Power through Observation of Congestion in VANets Using the Fuzzy Logic Approach: A Case Study in Highway and Urban Layout

Correa

Meneguette

Oliveira

et al. 2019

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

show abstract

“…The pattern vector is defined with the measured parameters as Unknown vector at time ti is X(i) = ((i); v(i); 0 (i); v 0 (i); t (i); B f (i); B t (i)): (9) For all the data of the parameters that are normalized (refer to Section II-A), the pattern vector is of the form of a fuzzy set defined by the universe of discourse f; v; 2) if y = z; (y; z) = 1; 3) (y; z) = (z; y); 4) if y A z or y A z; (y; A) (y; z): (11) According to Wang [22], (y; z) defines a measure of a near grade of two fuzzy sets and can be used to describe the degree of difference of fuzzy sets. The value of (X(i); Xj), i.e., the near grade between X(i) and Xj, describes the grade that the present situation belongs to pattern j. Construct a setR as R = fR(j)g;R(j) = (X(i); X j ); j 2 :…”

Section: Road Environment and Driver's Intention Recognitionmentioning

confidence: 99%

“…The GPD methods are very sensitive to the parameters and cannot adapt to variant road environments. They also cannot cater to driver's operating intentions [10], [11]. Because AMT is not as flexible as AT in mechanical characters, the defects derived from the drawbacks behave more seriously [8].…”

Section: Introductionmentioning

confidence: 99%

“…Among them, there exist the knowledge and fuzzy-logic-based tactics. Weil [11], Bastian [12], and Sakaguchi [13] proposed the ideas of introducing driving knowledge into shifting schedules of AT and, respectively, researched the "wind road," "slop road," and "load adaptation" situations. Graf [14], Shimizu [15], and Hayashi [16] presented neurofuzzy-based GPD concepts to make the control algorithms able to adapt to load variance and different driver types.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Knowledge-Based Gear-Position Decision

Qin

Lee

2004

IEEE Trans. Intell. Transport. Syst.

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“…In particularly, Brake system is highly nonlinear and possesses wide range of uncertainties. The observed nonlinearities and uncertainties in the brake system are a combination of friction, dead zones and hysteresis [4,9]. In designing the brake control strategy, the main objective is to cancel the nonlinearities of the system so as to make the brake system behaves as uniformly as possible throughout the operating range of the system.…”

Section: Controllermentioning

confidence: 99%

Design And Implementation of Dsp-Based Intelligent Controller For Automobile Braking System

Sidek

Salami

1970

IIUMEJ

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An intelligent braking system has great potential applications especially, in developed countries where research on smart vehicle and intelligent highways are receiving ample attention. The system when integrated with other subsystems like automatic traction control, intelligent throttle, and auto cruise systems, etc will result in smart vehicle maneuver. The driver at the end of the day will become the passenger, safety accorded the highest priority and the journey optimized in term of time duration, cost, efficiency and comfortability. The impact of such design and development will cater for the need of contemporary society that aspires to a quality drive as well as to accommodate the advancement of technology especially in the area of smart sensors and actuators. The emergence of digital signal processor enhances the capacity and features of universal microcontroller. This paper introduces the use of TI DSP, TMS320LF2407 as an engine of the system. The overall system is designed so that the value of inter-vehicle distance from infrared laser sensor and speed of follower car from speedometer are fed into the DSP for processing, resulting in the DSP issuing commands to the actuator to function appropriately.Key words: Smart Vehicle, Digital Signal Processor, Fuzzy Controller, and Infra Red Laser Sensor

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Fuzzy expert system for automatic transmission control

Cited by 8 publications

References 9 publications

Optimization of Transmission Signal Power through Observation of Congestion in VANets Using the Fuzzy Logic Approach: A Case Study in Highway and Urban Layout

Optimization of Transmission Signal Power through Observation of Congestion in VANets Using the Fuzzy Logic Approach: A Case Study in Highway and Urban Layout

Knowledge-Based Gear-Position Decision

Design And Implementation of Dsp-Based Intelligent Controller For Automobile Braking System

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