A Distributed Intelligent Traffic System Using Ant Colony Optimization: A NetLogo Modeling Approach

Kponyo, Jerry John; Nwizege, Kenneth S.; Opare, Kwasi Adu-Boahen; Ahmed, A-R; Hamdoun, Hassan; L.O.Akazua,; Al-Shehri, Salman M.; Frank, H.

doi:10.1109/sims.2016.32

Cited by 5 publications

(5 citation statements)

References 15 publications

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“…This tool automates the exploration of agent-based modeling processes, by using various heuristic techniques (e.g., Genetic Algorithms, Random Search). The BehaviorSearch is interfaced with NetLogo's code that executes CFLARIC scenarios, to search for combinations of model parameters that will result in near-optimal target behavior (41,42). Random search is selected as the search algorithm for the first optimization strategy.…”

Section: Optimizationmentioning

confidence: 99%

Optimized Flexible Lane Assignment Using Simulation and Metaheuristic Algorithms

Azadi,

Mitrovic,

Stevanovic

2023

Transportation Research Record: Journal of the Transportation R

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Technological advances with connected and autonomous vehicles (CAVs) have opened opportunities to increase the efficiency of transportation networks. A novel control framework called combined flexible lane assignment and reservation-based intersection control (CFLARIC) system has been recently proposed for better management of directionally unrestricted CAVs traffic flows in an urban environment. CFLARIC offers a full spectrum of lane assignment possibilities in combination with the appropriate reservation-based intersection control. In CFLARIC, vehicles position themselves in a proper lane before they reach the downstream intersection, which enables resolution of vehicular conflicts both between intersections and within the intersection boxes. Although CFLARIC has shown promising results, only a limited number of lane assignment scenarios have been designed and tested using some preset rules and based on the previous research objectives. Therefore, the optimality of their performance has never been studied. The objective of this study is to address the flexible traffic lane assignment in such a system as a network optimization problem, in which an optimal lane assignment schema is achieved using metaheuristic optimization algorithms. To this end, a combination of NetLogo and the BehaviorSearch tool is utilized for the simulation modeling and optimization process using random search and brute-force as the search algorithms. The output of the optimization process is the lane assignment that leads to a minimum total travel time for a given network geometry and traffic volumes. Results indicate that a flexible control concept such as optimized CFLARIC has great potential to improve the efficiency of traffic control strategies with CAVs.

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Section: Optimizationmentioning

confidence: 99%

Optimized Flexible Lane Assignment Using Simulation and Metaheuristic Algorithms

Azadi,

Mitrovic,

Stevanovic

2023

Transportation Research Record: Journal of the Transportation R

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“…For finding the optimal guidance policy, a GA has been used as a part of the DM approach. e same method for making an intelligent traffic system has been employed in [70] to minimize the congestion in the traffic system. ey used ACO as the AI algorithm for optimization.…”

Section: Intelligent Modelingmentioning

confidence: 99%

Optimal Agent Framework: A Novel, Cost-Effective Model Articulation to Fill the Integration Gap between Agent-Based Modeling and Decision-Making

2021

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Making proper decisions in today’s complex world is a challenging task for decision makers. A promising approach that can support decision makers to have a better understanding of complex systems is agent-based modeling (ABM). ABM has been developing during the last few decades as a methodology with many different applications and has enabled a better description of the dynamics of complex systems. However, the prescriptive facet of these applications is rarely portrayed. Adding a prescriptive decision-making (DM) aspect to ABM can support the decision makers in making better or, in some cases, optimized decisions for the complex problems as well as explaining the investigated phenomena. In this paper, first, the literature of DM with ABM is inquired and classified based on the methods of integration. Performing a scientometric analysis on the relevant literature lets us conclude that the number of publications attempting to integrate DM and ABM has not grown during the last two decades, while analysis of the current methodologies for integrating DM and ABM indicates that they have serious drawbacks. In this regard, a novel nature-inspired model articulation called optimal agent framework (OAF) has been proposed to ameliorate the disadvantages and enhance the realization of proper decisions in ABM at a relatively low computational cost. The framework is examined with the Bass diffusion model. The results of the simulation for the customized model developed by OAF have verified the feasibility of the framework. Moreover, sensitivity analyses on different agent populations, network structures, and marketing strategies have depicted the great potential of OAF to find the optimal strategies in various stochastic and unconventional conditions which have not been addressed prior to the implementation of the framework.

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“…This makes it possible to explore the connection between the micro-level behavior of individuals and the macro-level patterns that emerge from their interactions. Kponyo et al (2016) propose a DITS (distributed intelligent traffic system) which uses ACO (ant colony optimization) to solve the traffic problem, and implement it in NetLogo and simulated while studying traffic factors such as average travel speed, average waiting time of cars and the number of stopped cars in queue. NetLogo improves Logo by supporting multi-individuals but single one, but it does not provide any simulation clocks and event handling mechanism (Sklar, 2007).…”

Section: Related Workmentioning

confidence: 99%

A reflective memory based framework for crowd network simulations

Sun

Zhang

2018

IJCS

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If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation.*Related content and download information correct at time of download. Design/methodology/approach -This paper proposes a novel reflective memory-based framework for crowd network simulations. The proposed framework adopts a two-level federation-based architecture, which separates simulation-related environments into physical and logical aspect to enhance the flexibility of simulations. Simulation definition is introduced in this architecture to resolve the problem of outside agreements and share resources pool (constructed by reflective memory) is used to address the systemic emergence and scale problem.Findings -With reference to HLA, this paper proposes a novel reflective memory-based framework toward crowd network simulations. The proposed framework adopts a two-level federation-based architecture, system-level simulation (system federation) and application-level simulation (application federations), which separates simulation-related environments into physical and logical aspect to enhance the flexibility of simulations. Simulation definition is introduced in this architecture to resolve the problem of outside agreements and share resources pool (constructed by reflective memory) is used to address the systemic emergence and scale problem.Originality/value -Simulation syntax and semantic are all settled under this framework by templates, especially interface templates, as simulations are separated by two-level federations, physical and logical simulation environment are considered separately; the definition of simulation execution is flexible. When developing new simulations, recompile is not necessary, which can acquire much more reusability, because reflective memory is adopted as share memory within given simulation execution in this framework; population can be perceived by all federates, which greatly enhances the scalability of this kind of simulations; communication efficiency and capability has greatly improved by this share memory-based framework.

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A Distributed Intelligent Traffic System Using Ant Colony Optimization: A NetLogo Modeling Approach

Cited by 5 publications

References 15 publications

Optimized Flexible Lane Assignment Using Simulation and Metaheuristic Algorithms

Optimized Flexible Lane Assignment Using Simulation and Metaheuristic Algorithms

Optimal Agent Framework: A Novel, Cost-Effective Model Articulation to Fill the Integration Gap between Agent-Based Modeling and Decision-Making

A reflective memory based framework for crowd network simulations

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