Modified Stimulus-Response Model for Vehicle-Following Behavior with Multiple Leaders Under Mixed Traffic Condition

2021 ◽  
Author(s):  
Kavitha Madhu ◽  
karthik srinivasan ◽  
R. Sivanandan
Keyword(s):  
Response Model ◽  
Mixed Traffic ◽  
Traffic Condition ◽  
Stimulus Response ◽  
Multiple Leaders

scholarly journals An Extended Model of Behavioural Process in Consumer Decision Making

2016 ◽  
Vol 8 (4) ◽  
pp. 87 ◽  
Author(s):  
Nagasimha Balakrishna Kanagal
Keyword(s):  
Decision Making ◽  
Consumer Products ◽  
Extended Model ◽  
Response Model ◽  
Consumer Decision Making ◽  
Consumer Decision ◽  
Stimulus Response ◽  
Economic Decision Making ◽  
Buying Behaviour ◽  
The Impact

<p>The stimulus response model of consumer behaviour is useful to understand the buying behaviour of individual consumers in the context of individuals buying consumer products. An extended stimulus-response model of behavioural processes in consumer decision making is proposed that serves to integrate the influences and interlinkages of buyer psychology, various buyer characteristics, and the impact of the buyer decision process on consumer decision making. The model proposes that the behavioural process of consumer decision making be as a result of the interaction of three aspects of individual buyer behaviour: communication sensitivity; enculturated individuality; and rational / economic decision making. The paper addresses the flip side of the consumer decision making process in terms of the five stages of decision making from need recognition to post-purchase satisfaction. An aggregate level framework of behavioural process in consumer decision making has been provided, that could lead to a richer analysis of micro level factors and relationships influencing consumer decision behaviour.</p>

The induction of metamorphosis of marine invertebrate larvae: stimulus and response

1983 ◽  
Vol 61 (8) ◽  
pp. 1701-1719 ◽  
Author(s):  
Robert D. Burke
Keyword(s):  
Direct Evidence ◽  
Marine Invertebrate ◽  
Behavioral Model ◽  
Environmental Cues ◽  
Sensory Receptors ◽  
Response Model ◽  
Endocrine Control ◽  
Stimulus Response ◽  
Invertebrate Larvae ◽  
Induction Of Metamorphosis

The induction of metamorphosis by environmentally derived cues is reviewed in barnacles, molluscs, hydroids, echinoids, and ascidians in the context of the neurological and behavioral model of stimulus and response. The model proposes that cues associated with preferred juvenile or adult habitats are the stimuli. Stimuli are received by receptors that communicate with the effectors of metamorphosis, larval and adult tissues. The response is a combination of morphogenetic, histolytic, and histogenic processes. Receptors in all five taxa are assumed to be superficial sensory receptors, though there is no direct evidence for their involvement in the perception of cues. Although the induction of metamorphosis by environmental cues in all five taxa fits well within a stimulus–response model, there is currently only circumstantial evidence for neural or endocrine control of metamorphosis.

Physiologic Adaptation by Means of Antagonistic Dynamics

2011 ◽  
pp. 3086-3092 ◽  
Author(s):  
Juergen Perl
Keyword(s):  
Response Model ◽  
Input Stimulus ◽  
Mental Work ◽  
Biochemical Adaptation ◽  
Behavioral Systems ◽  
Stimulus Response ◽  
Future Performance ◽  
Different Dimensions ◽  
External Stimuli ◽  
Gathering Data

In particular in technical contexts, information systems and analysing techniques help a lot for gathering data and making information available. Regarding dynamic behavioral systems like athletes or teams in sports, however, the situation is difficult: data from training and competition do not give much information about current and future performance without an appropriate model of interaction and adaptation. Physiologic adaptation is one major aspect of targetoriented behavior, in physical training as well as in mental learning. In a simplified way it can be described by a stimulus- response-model, where external stimuli change situation or status of an organism and so cause activities in order to adapt. This aspect can appear in quite different dimensions like individual biochemical adaptation that needs only milliseconds up to selection of the fittest of a species, which can last millions of years. Well-known examples can be taken from learning processes or other mental work as well as from sport and exercising. Most of those examples are characterized by a phenomenon that we call antagonism: The input stimulus causes two contradicting responses, which control each other and – by balancing out – finally enable to reach a given target. For example, the move of a limb is controlled by antagonistic groups of muscles, and the result of a game is controlled by the efforts of competing teams. In order to understand and eventually improve such adaptation, models are necessary that make the processes transparent and help for simulating dynamics like for example, the increase of heart rate as an reaction of speeding up in jogging. With such models it becomes possible not only to analyze past processes but also to predict and schedule indented future ones. In the Background section, main aspects of modeling antagonistic adaptation systems are briefly discussed, which is followed by a more detailed description of the developed PerPot-model and a number of examples of application in the Main Focus section.

Equivalency Factor Based on Acceleration Noise for Mixed Traffic Condition

2019 ◽  
Vol 5 (2) ◽  
Author(s):  
S. Salini ◽  
R. Ashalatha ◽  
S. Aswathy Mohan
Keyword(s):  
Mixed Traffic ◽  
Traffic Condition

Saturation Flow Model for Signalized Intersection under Mixed Traffic Condition

2018 ◽  
Vol 2672 (15) ◽  
pp. 55-65 ◽  
Author(s):  
Sabyasachi Biswas ◽  
Souvik Chakraborty ◽  
Indrajit Ghosh ◽  
Satish Chandra
Keyword(s):  
Conventional Method ◽  
Detailed Comparison ◽  
Heterogeneous Traffic ◽  
Signalized Intersection ◽  
Percentage Error ◽  
Mixed Traffic ◽  
Kriging Method ◽  
Traffic Condition ◽  
Saturation Flow ◽  
The Impact

Saturation flow is one of the most important functional parameters at signalized intersections. It is to be noted that saturation flow is a functional measure of the intersection operation, which indicates the probable capacity if working in an ideal situation. However, determination of the saturation flow is a challenging task in developing countries like India where vehicles with diverse static and dynamic characteristics use the same carriageway. At the same time, it is influenced by several other factors. In this context, the present research is carried out to examine the effects of traffic composition, approach width and right-turning movements on saturation flow under heterogeneous traffic conditions. This paper proposes a model for computing saturation flow at the signalized intersection under mixed traffic condition based on Kriging approach. A detailed comparison of the mean saturation flow values obtained by the conventional method, regression method, and Kriging method has also been presented. Low mean absolute percentage error values (<5%) have been obtained for saturation flow by Kriging method with respect to the conventional method. Finally, the proposed models are used to evaluate the impact of right-turning vehicles on saturation flow under shared lane condition.

Modeling and Simulation of CAS for Safety of Agricultural Products under Government Regulation

2013 ◽  
Vol 444-445 ◽  
pp. 1680-1684 ◽  
Author(s):  
Xiao Lan Liu ◽  
Wu Yi Zhang
Keyword(s):  
Government Regulation ◽  
Adaptive System ◽  
Complex Adaptive System ◽  
Agricultural Products ◽  
System Model ◽  
Response Model ◽  
Adaptive Agents ◽  
Stimulus Response ◽  
Complex Adaptive ◽  
Production Strategy

The safety of agricultural products is a hot issue concerned by the whole society. Safety system of agricultural products is regarded as complex adaptive system in this paper and after analyzing the attributes and behaviors of Government Agent and Farmer Agent, these Agents are all seemed as adaptive agents and their behaviors follow the stimulus--response model. Besides, rule of obtaining profit, rule of changing production strategy, rule of changing honesty and rule of farmer moving are also established. Then based on these rules, a computer program for the system model has been done by Java on Swarm. And through changing the relevant parameters and variables in the model, the measures to improve the safety situation of agricultural products in China are obtained.

scholarly journals Developing Programmed Learning Material for Teaching Science of CBSE Class IX

2016 ◽  
Vol 3 (2) ◽  
Author(s):  
Himanshu Tripathi ◽  
Dr. JE Merlin Sasikala
Keyword(s):  
Learning Task ◽  
Scientific School ◽  
Learning Material ◽  
Response Model ◽  
Immediate Feedback ◽  
Programmed Learning ◽  
Stimulus Response ◽  
Original Stimulus ◽  
Programmed Learning Material ◽  
History Of

We will begin by discussing the early history of programmed learning and showing how the interpretation of the term has evolved over the years. The origin of programmed learning had its roots in behavioural psychology- the new ‘scientific’ school of psychology that was pioneered by the American psychologist B F Skinner during the 1950’s. Behavioural psychology was based on what is generally referred to as the stimulus response (S-R) model of behaviour. One important feature of the original stimulus-response model of learning was the concept of successive reinforcement. Another feature is that a desired S-R bond would be firmly established if the learner was supplied with immediate feedback in the form of the correct answer immediately after attempting a particular learning task such as answering a question. Another feature of Skinner’s original theory was that each successive stimulus-response step should be small enough to ensure that the learner was nearly always correct in his or her response.

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