scholarly journals Analysis of Cooperative Perception in Ant Traffic and Its Effects on Transportation System by Using a Congestion-Free Ant-Trail Model

Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2393
Author(s):  
Prafull Kasture ◽  
Hidekazu Nishimura
Keyword(s):  
Average Velocity ◽  
Transportation System ◽  
Self Organization ◽  
Model Parameters ◽  
Agent Based ◽  
Model Simulations ◽  
Mathematical Representations ◽  
Traffic Conditions ◽  
Traffic Jams ◽  
Ant Trail

We investigated agent-based model simulations that mimic an ant transportation system to analyze the cooperative perception and communication in the system. On a trail, ants use cooperative perception through chemotaxis to maintain a constant average velocity irrespective of their density, thereby avoiding traffic jams. Using model simulations and approximate mathematical representations, we analyzed various aspects of the communication system and their effects on cooperative perception in ant traffic. Based on the analysis, insights about the cooperative perception of ants which facilitate decentralized self-organization is presented. We also present values of communication-parameters in ant traffic, where the system conveys traffic conditions to individual ants, which ants use to self-organize and avoid traffic-jams. The mathematical analysis also verifies our findings and provides a better understanding of various model parameters leading to model improvements.

scholarly journals Congestion-Free Ant Traffic: Jam Absorption Mechanism in Multiple Platoons

2019 ◽  
Vol 9 (14) ◽  
pp. 2918 ◽  
Author(s):  
Prafull Kasture ◽  
Hidekazu Nishimura
Keyword(s):  
Traffic Flow ◽  
Average Velocity ◽  
Free Flow ◽  
Absorption Mechanism ◽  
Flow Forming ◽  
Agent Based ◽  
Traffic Jam ◽  
Stop And Go ◽  
Ant Trail ◽  
Single Cluster

In this paper, an agent-based model of ant traffic on a unidirectional single-lane ant trail is presented to provide better understanding of the jam-free traffic of an ant colony. On a trail, the average velocity of ants remains approximately constant irrespective of density, thereby avoiding jamming. Assuming chemotaxis, we analyze platoon-related scenarios to assess the marching-platoon hypothesis, which claims that ants on a trail form a single platoon in which they march synchronously, thereby reducing hindrances due to increasing density. Contrary to that hypothesis, our findings show that ants on a trail do not march synchronously and do experience stop-and-go motion. However, more interestingly, our study also indicates that the ants’ chemotaxis behavior leads to a peculiar jam absorption mechanism, which helps to maintain free flow on a trail and avoids jamming. Again, contrary to the marching-platoon hypothesis, our findings also indicate that, rather than assisting traffic flow, forming a single cluster actually triggers jamming.

A MODEL FOR BRAND COMPETITION WITHIN A SOCIAL NETWORK

2010 ◽  
Vol 21 (12) ◽  
pp. 1457-1467
Author(s):  
R. HUERTA-QUINTANILLA ◽  
E. CANTO-LUGO ◽  
M. RODRÍGUEZ-ACHACH
Keyword(s):  
Social Network ◽  
Network Topology ◽  
Decision Rules ◽  
Nearest Neighbors ◽  
Product Market ◽  
Economic Benefits ◽  
Model Parameters ◽  
Agent Based ◽  
Absorbing State ◽  
Brand Competition

An agent-based model was built representing an economic environment in which m brands are competing for a product market. These agents represent companies that interact within a social network in which a certain agent persuades others to update or shift their brands; the brands of the products they are using. Decision rules were established that caused each agent to react according to the economic benefits it would receive; they updated/shifted only if it was beneficial. Each agent can have only one of the m possible brands, and she can interact with its two nearest neighbors and another set of agents which are chosen according to a particular set of rules in the network topology. An absorbing state was always reached in which a single brand monopolized the network (known as condensation). The condensation time varied as a function of model parameters is studied including an analysis of brand competition using different networks.

Shear Deformation of High Density Aluminum Honeycombs

2003 ◽  
Author(s):  
Wei-Yang Lu ◽  
John Korellis ◽  
Terry Hinnerichs
Keyword(s):  
Shear Deformation ◽  
Shear Test ◽  
High Density ◽  
Model Parameters ◽  
Test Beam ◽  
Model Simulations ◽  
Aluminum Honeycomb ◽  
Axis Compression ◽  
Principal Directions ◽  
Flexure Test

The orthotropic crush model has commonly been used to describe the constitutive behavior of honeycomb [1]. To completely define the model parameters of a honeycomb, experimental data of axial crushes in T, L, and W principal directions as well as shear stress-strain curves in TL, TW, and LW planes are required. The axial crushes of high-density aluminum honeycombs, e.g., 38 pcf (pound per cubic foot), under various loading speeds and temperatures have been investigated and reported [2]. This paper describes experiments and model simulations of the shear deformation of the same high-density aluminum honeycomb. Results of plate shear test, beam flexure test, and off-axis compression are presented and discussed.

scholarly journals Computational modelling of cell chain migration reveals mechanisms that sustain follow-the-leader behaviour

2012 ◽  
Vol 9 (72) ◽  
pp. 1576-1588 ◽  
Author(s):  
Michelle L. Wynn ◽  
Paul M. Kulesa ◽  
Santiago Schnell
Keyword(s):  
Cancer Metastasis ◽  
Computational Modelling ◽  
Cell Movement ◽  
Cell Contact ◽  
Model Parameters ◽  
Directional Bias ◽  
Agent Based ◽  
Chain Migration ◽  
A Chain ◽  
Cell Cell

Follow-the-leader chain migration is a striking cell migratory behaviour observed during vertebrate development, adult neurogenesis and cancer metastasis. Although cell–cell contact and extracellular matrix (ECM) cues have been proposed to promote this phenomenon, mechanisms that underlie chain migration persistence remain unclear. Here, we developed a quantitative agent-based modelling framework to test mechanistic hypotheses of chain migration persistence. We defined chain migration and its persistence based on evidence from the highly migratory neural crest model system, where cells within a chain extend and retract filopodia in short-lived cell contacts and move together as a collective. In our agent-based simulations, we began with a set of agents arranged as a chain and systematically probed the influence of model parameters to identify factors critical to the maintenance of the chain migration pattern. We discovered that chain migration persistence requires a high degree of directional bias in both lead and follower cells towards the target. Chain migration persistence was also promoted when lead cells maintained cell contact with followers, but not vice-versa. Finally, providing a path of least resistance in the ECM was not sufficient alone to drive chain persistence. Our results indicate that chain migration persistence depends on the interplay of directional cell movement and biased cell–cell contact.

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