BioTraffic: a bio-inspired behavioral model to vehicle traffic simulation

2021 ◽  
Author(s):  
Carlos Eduardo Pereira de Quadros ◽  
Diana Francisca Adamatti ◽  
Alessandro de Lima Bicho
Keyword(s):  
Traffic Simulation ◽  
Behavioral Model ◽  
Vehicle Traffic

scholarly journals Adaptive-AR Model with Drivers’ Prediction for Traffic Simulation

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Xuequan Lu ◽  
Mingliang Xu ◽  
Wenzhi Chen ◽  
Zonghui Wang ◽  
Abdennour El Rhalibi
Keyword(s):  
Reaction Time ◽  
Real World ◽  
Traffic Simulation ◽  
Real Life ◽  
Ar Model ◽  
Traffic Flows ◽  
Vehicle Traffic ◽  
The Real ◽  
Similar Performance ◽  
Novel Model

We present a novel model called A2R—“Adaptive-AR”—based on a well-known continuum-based model called AR Aw and Rascle (2000) for the simulation of vehicle traffic flows. However, in the standard continuum-based model, vehicles usually follow the flows passively, without taking into account drivers' behavior and effectiveness. In order to simulate real-life traffic flows, we extend the model with a few factors, which include the effectiveness of drivers' prediction, drivers' reaction time, and drivers' types. We demonstrate that our A2R model is effective and the results of the experiments agree well with experience in real world. It has been shown that such a model makes vehicle flows perform more realistically and is closer to the real-life traffic than AR (short for Aw and Rascle and introduced in Aw and Rascle (2000)) model while having a similar performance.

Consumenoid I: A behavioral model of the consumer

1972 ◽  
Author(s):  
Wilham T. Moran ◽  
Lawrence Light ◽  
Martin K. Starr ◽  
Kenneth A. Longman
Keyword(s):  
Behavioral Model

Religion and Religiosity: A Path to War or Peace

2018 ◽  
Vol 6 (2) ◽  
pp. 55-69
Author(s):  
Ghada Awada
Keyword(s):  
Qualitative Research ◽  
Literature Review ◽  
Research Method ◽  
Meta Analysis ◽  
Behavioral Model ◽  
Religious Violence ◽  
Religious Texts ◽  
Humanistic Approach ◽  
Research Findings ◽  
Divine Origin

Abstract The study was set to examine the differences between religion and religiosity and to explore how communities can be protected against religious violence. The study also intended to investigate the motives and the effect that religious violence has had throughout history. The study employed the qualitative research method whereby the researcher carried out a meta-analysis synthesis of different research findings to make conclusions and implications that could answer the study questions. Using the literature review they conducted, the researchers carried out data collection. As such, the researcher employed the bottom-up approach to identify the problem and the questions along with the investigation framework of what they decided to explore. The findings of the study revealed that religious backgrounds should be the cornerstone to realize the diff erence between religion and religiosity. Religion is of divine origin whereas religiosity is specifically a humanistic approach and a behavioral model. The religious violence phenomenon is formed by interlocking factors such as the interpretation of religious texts which clearly adopt thoughts and heritage full of violence camouflaged by religion. It is recommended that governments use a strong strategy employing the educational system, summits and dialogs to successfully overcome religious violence. The summits on religion should result in starting a dialog that ensures acceptance of the different religions.

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