Adapt-Traf: An adaptive multiagent road traffic management system based on hybrid ant-hierarchical fuzzy model

Kammoun, Habib M.; Kallel, Ilhem; Casillas, Jorge; Abraham, Ajith; Alimi, Adel M.

doi:10.1016/j.trc.2014.03.003

Cited by 57 publications

(26 citation statements)

References 47 publications

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“…MAS modeling is a used as an approach in UGD because of its ability to consider different stakeholders, their behaviors and interactions in several scenarios and policies changes and how these changes affect the decision making process. Other important MAS characteristic is that it can handle complex systems with large numbers of heterogeneous and autonomous agents which can interact and collaborate between them [7,12].…”

Section: Multi-agent Systems In Goods Distributionmentioning

confidence: 99%

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Multi-agent Model for Urban Goods Distribution

Serna¹,

Marín²,

Urán³

et al. 2018

RCS

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This paper proposes a multi-agent model to evaluate the last mile distribution process in urban areas, in a network that includes a single depot, multiple customers and multiple homogeneous and capacitated vehicles. The model is based on the behaviors of the different stakeholders and their interactions, including coordination and collaboration of agents in the allocations and routing processes. The performance of the Solomon Algorithm is the starting point of the proposed model and the comparison of both results shows the advantage of using multi-agent modelling to reduce distances and number of vehicles needed for urban freight transportation.

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Section: Multi-agent Systems In Goods Distributionmentioning

confidence: 99%

“…For this, a series of communication, coordination and negotiation protocols is established among the agents. In this case, collaboration between the system components facilitates problems solving and reaching out the defined objectives [11][12][13][14][15].…”

Section: Multi-agent Systems In Goods Distributionmentioning

confidence: 99%

Multi-agent Model for Urban Goods Distribution

Serna¹,

Marín²,

Urán³

et al. 2018

RCS

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“…Kavşak yönetim sistem yazılımı tarafından işlenen veriler daha sonra trafik sinyalizasyon cihazları, elektronik bilgilendirme levhaları, mobil uygulama vs ile son kullanıcıların (sürücülere, yayalara, yetkili kurumlara, özel kuruluşlara) hizmetine sunulmaktadır [4,5]. Örneğin Kammouna ve arkadaşları 2014 yılında yaptıkları hiyerarşik karınca-bulanık model neticesinde elde ettikleri sonuçları kavşak içlerindeki ajan yazılımlarına iletmektedirler [17]. Bir başka çalışmada ise Mariagrazia ve arkadaşları, şehir-içi trafik kontrolü için dinamik bir sinyal planı oluşturup bu bilgiyi sahadaki bilgilendirme levhalarına da iletmişlerdir [18].…”

Section: Servis Dağıtımı (Service Delivery)unclassified

Şehir içi kavşak yönetim sistemleri için SDN temelli bir VANET mimari önerisi

Balta

Özçeli̇k

2018

Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi

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 SDN based VANET  Data cycles of ITS  Simulation/performance applications Figure A. General structure of proposed SDN based VANET architecture Purpose: In this study, it is aimed to present an architectural proposal about how to use SDN and VANET network paradigms together in intersection management systems in order to use both existing intersection management system modules more adaptively and future traffic based services to be added in desired service quality without changing the communication infrastructure. In addition, to show the functionality of the proposed SDN based VANET architecture in signaling system, we propose an ant colony algorithm based SDN controller's modules Theory and Methods: SDN agent RSU compares broadcast traffic packets that obtained from SDN agent vehicles with its flow table. After control process on flow table, RSU generates a raw TCP packet and send it to related SDN switch. After comparing inbound packet with its flow table, SDN switch send the traffic data to SDN controller within packet_in message of Openflow protocol. SDN based ant colony algorithm calculatea new phase durations via Topology Manager and Link Discovery modules of Floodlight Controller. Results: The results obtained from ant colony algorithm based SDN modules were compared with fixed-time signaling and Webster equation which are used in traditional systems and also computational techniques (particle swarm optimization and fuzzy model) on a isolated intersection. It shows that the proposed algorithm and architecture provide an improvement about % 15-22 according to existing systems and %7-12 according to computational techniques in average delay and queueing. Conclusion: In this study, to solve problems in application and transmition infrastructures of ITS, it was aimed to show how to integrate SDN and VANET architectures on an isolated intersection management system and how to perform data conversion operations on this proposed system. Also a new traffic signaling approach by ant colony algorithm based on modules of SDN controller are presented.

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“…Thanks to their ability of information processing, RNNs have been widely involved for complex operations. Gradient based-methods such as Back Propagation Through Time [36] [10] [35] are the training algorithms the most used by traditional RNNs [44] [51]. Although they have realized successes in dealing with several problems, they are likely exposed to vanishing or exploding gradient problems.…”

Section: Introductionmentioning

confidence: 99%