Applying Agent Based Simulation to the Design of Traffic Control Systems with Respect to Real-World Urban Complexity

Ion, Andreea; Berceanu, Cristian; Pătraşcu, Monica

doi:10.1007/978-3-319-33509-4_31

Cited by 7 publications

(5 citation statements)

References 15 publications

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“…The nestedness of eSCAPE comes from the self-organization of agents (representing controllers, actuators, sensors, and nuclei with specialized communication units) in minimal cells (i.e., local control loops) and, if needed, in extended cells (in which the roles for acting and sensing might be taken by other cells). The architecture supports various mechanisms, such as negotiation [245] and decentralized control [204].…”

Section: Emergence and Consensus Through Decentralized Control In Com...mentioning

confidence: 99%

Engineering Emergence: A Survey on Control in the World of Complex Networks

Berceanu

Pătraşcu

2022

Automation

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Complex networks make an enticing research topic that has been increasingly attracting researchers from control systems and various other domains over the last two decades. The aim of this paper was to survey the interest in control related to complex networks research over time since 2000 and to identify recent trends that may generate new research directions. The survey was performed for Web of Science, Scopus, and IEEEXplore publications related to complex networks. Based on our findings, we raised several questions and highlighted ongoing interests in the control of complex networks.

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Section: Emergence and Consensus Through Decentralized Control In Com...mentioning

confidence: 99%

Engineering Emergence: A Survey on Control in the World of Complex Networks

Berceanu

Pătraşcu

2022

Automation

Self Cite

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“…They used Java, JADE framework and SUMO for their experiment along with several types of agents. The results of the average waiting time could be reduced, which would cause a 3.06% average fuel reduction and 9% average speed increase [32].…”

Section: Related Workmentioning

confidence: 99%

Novel system for road traffic optimisation in large cities

et al. 2022

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Traffic congestion and road intersection management have become a significant issue, mainly with the highly increasing number of vehicles in cities. There is a common belief from vehicle drivers that installing traffic lights with some consideration of traffic flows will be dominant in traffic movements. This article proposes a novel system for Urban Traffic Control (UTC) with a continuous dynamic environment adaptation to improve traffic flow on large cities' network roads. The proposed system introduces vehicle counting method, lane evaluation of the current status and controlling method considering the effect on the whole traffic network-not just the intersection itself-to provide an efficient traffic scheduling. The main objective of the authors' system is to reduce traffic jam, by reducing waiting time and trip time for vehicles at intersections. Some indicators and models are introduced in this work to assign traffic flow schedules with minimum traffic congestion and vehicle waiting time. These indicators and models include a traffic jam indicator, vehicle priority and lane weight. A multi-agent urban traffic control system is proposed as the simulation environment using NetLogo simulator. (A total of 150) Vehicles are generated with random behaviour distributed over 25 intersections for 9 h duration to compare the normal fixed cycle traffic light and the authors' smart traffic control. Results show a reduction in the total average waiting time of all vehicles for the simulation period by more than (29.98%). Hence, it is more suitable for the complexity of the current traffic condition with minimum changing infrastructure. K E Y W O R D S road traffic control, road traffic management, smart cities, smart traffic light, urban traffic control, UTC This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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“…Researchers proceeded with 1, 2 and 3 h of simulations and measured that algorithm optimised average waiting time by 18%. A paper written by Patrascu and co‐authors [44] focuses on minimising waiting time on the intersection. They use Java, JADE framework and SUMO for their experiment along with several types of agents: simulator, map and agents involved into the SUMO simulator (intersection controller, traffic light, lane sensor and vehicles).…”

Section: Literature Analysismentioning

confidence: 99%

Recent advances in traffic optimisation: systematic literature review of modern models, methods and algorithms

Rydzewski¹,

Czarnul²

2020

IET intell. transp. syst

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Over the past few decades, the increasing number of vehicles and imperfect road traffic management have been sources of congestion in cities and reasons for deteriorating health of its inhabitants. With the help of computer simulations, transport engineers optimise and improve the capacity of city streets. However, with an enormous number of possible simulation types, it is difficult to grasp valuable, innovative solutions which are of the greatest value to city citizens. In this work, the authors expose various problems within this area having reviewed and analysed over 130 papers selected out of 1200 works in the field of urban simulations. The study describes the selection process of important papers and highlights characteristics of microsimulations, macrosimulations, computation optimisations and other approaches found in the literature which are especially useful and should be further built on in the future. They present and compare results provided in reviewed works in terms of throughput improvement, queue, waiting and travel time reduction, vehicle speed increase, speed‐ups as well as assumed simulation parameters. Finally, they focus on research gaps, such as a small number of works considering crisis simulations, few real‐world scale simulations as well as on software architectural changes and low‐level optimizations.

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Applying Agent Based Simulation to the Design of Traffic Control Systems with Respect to Real-World Urban Complexity

Cited by 7 publications

References 15 publications

Engineering Emergence: A Survey on Control in the World of Complex Networks

Engineering Emergence: A Survey on Control in the World of Complex Networks

Novel system for road traffic optimisation in large cities

Recent advances in traffic optimisation: systematic literature review of modern models, methods and algorithms

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