Agent-Based Traffic Simulation Using SUMO and JADE: An Integrated Platform for Artificial Transportation Systems

Soares, Guilherme Marques; Kokkinogenis, Zafeiris; Macedo, José Luiz; Rossetti, Rosaldo J. F.

doi:10.1007/978-3-662-45079-6_4

Cited by 12 publications

(11 citation statements)

References 11 publications

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“…Understanding road user interactions, using game theory concepts, was discussed for a scenario in Norway [149], composed of vehicles and pedestrians. Furthermore, an MAS based traffic simulation system [150] can assist autonomous vehicles in connection with VRP on dynamic scenarios fulfilled with uncertainties, in which high-performance techniques are also embedded for assisting the decision-making process. Machine learning algorithms are being extensively applied for traffic control [151] and using MAS is inevitable for reaching such complex agreements [152].…”

Section: Decentralization Via Multi Agent Systemsmentioning

confidence: 99%

Mobility, Citizens, Innovation and Technology in Digital and Smart Cities

et al. 2020

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Cities are constantly transforming and, consequently, attracting efforts from researchers and opportunities to the industry. New transportation systems are being built in order to meet sustainability and efficiency criteria, as well as being adapted to the current possibilities. Moreover, citizens are becoming aware about the power and possibilities provided by the current generation of autonomous devices. In this sense, this paper presents and discusses state-of-the-art transportation technologies and systems, highlighting the advances that the concepts of Internet of Things and Value are providing. Decentralized technologies, such as blockchain, are been extensively investigated by the industry, however, its widespread adoption in cities is still desirable. Aligned with operations research opportunities, this paper identifies different points in which cities’ services could move to. This also study comments about different combinatorial optimization problems that might be useful and important for an efficient evolution of our cities. By considering different perspectives, didactic examples are presented with a main focus on motivating decision makers to balance citizens, investors and industry goals and wishes.

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Section: Decentralization Via Multi Agent Systemsmentioning

confidence: 99%

Mobility, Citizens, Innovation and Technology in Digital and Smart Cities

et al. 2020

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“…Researchers used the CORSIM software for this evaluation, and they discovered that the bridge would have a positive influence on the area and only with high traffic a bottleneck phenomenon would appear. Another paper which touches the paradox is the work written by Soares et al [48]. The paper describes an integration platform which allows integrating Java with SUMO and possibly another simulator.…”

Section: Literature Analysismentioning

confidence: 99%

“…We think that a significant gap in this area is to unify the interfaces of the platforms. Only a few researchers work in this area [48, 126], however, we think this research should be extended for all available simulators. It can be drawn from Fig.…”

Section: Observations and Open Areasmentioning

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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“…Some literature studies have succeeded in reducing traffic congestion after using multi-agent based intelligent transportation systems (ITS). Soares et al, in [4] applied a framework that combines the characteristics of the Multi-Agent System (MAS), JADE and SUMO for the development of multi-agent traffic solutions in contemporary transportation systems. The Simulation of the proposed model proved to be an effective approach to set up traffic solutions in socio-technical systems after being compared with real traffic flow network.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Transportation Systems to Mitigate Road Traffic Congestion

Hamadeh¹,

Karouni²,

Farhat³

et al. 2021

Preprint

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Intelligent transport systems have efficiently and effectively proved themselves in settling up the problem of traffic congestion around the world. The multi-agent based transportation system is one of the most important intelligent transport systems, which represents an interaction among the neighbouring vehicles, drivers, roads, infrastructure and vehicles. In this paper, two traffic management models have been created to mitigate congestion and to ensure that emergency vehicles arrive as quickly as possible. A tool-chain SUMO-JADE is employed to create a microscopic simulation symbolizing the interactions of traffic. The simulation model has showed a significant reduction of at least 50% in the average time delay and thus a real improvement in the entire journey time.

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Agent-Based Traffic Simulation Using SUMO and JADE: An Integrated Platform for Artificial Transportation Systems

Cited by 12 publications

References 11 publications

Mobility, Citizens, Innovation and Technology in Digital and Smart Cities

Mobility, Citizens, Innovation and Technology in Digital and Smart Cities

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

Intelligent Transportation Systems to Mitigate Road Traffic Congestion

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