A collaborative agent-based traffic signal system for highly dynamic traffic conditions

2020 ◽  
Vol 34 (1) ◽  
Author(s):  
Behnam Torabi ◽  
Rym Z. Wenkstern ◽  
Robert Saylor
Keyword(s):  
Traffic Signal ◽  
Signal System ◽  
Dynamic Traffic ◽  
Agent Based ◽  
Traffic Conditions ◽  
Collaborative Agent

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.

Adaptive & Coordinated Traffic Signal System

2020 ◽  
Author(s):  
S.U. Dampage ◽  
T.D. Munasingha ◽  
W.D.K Gunathilake ◽  
A.G. Weerasundara ◽  
D.P.D Udugahapattuwa
Keyword(s):  
Traffic Signal ◽  
Signal System
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