A 3-stage fuzzy-decision tree model for traffic signal optimization in urban city via a SDN based VANET architecture

Balta, Musa; Özçeli̇k, İbrahim

doi:10.1016/j.future.2019.10.020

Cited by 54 publications

(27 citation statements)

References 14 publications

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“…As shown in Fig. 11 in [56] the authors needed to solve the application problems and infrastructure of VANET in a data cycle of traffic management systems, for example, scalability, dynamic programming and packet flow management. The authors proposed an architecture that operates in end-to-end directions (from the SDN agent vehicle to the controller and from the controller to the SDN agent vehicle).…”

Section: Survey On Securitymentioning

confidence: 99%

“…In addition, there are many architectures and research works have been explained in this survey to enhance the QoS [35], [37], connectivity with the mobility management [31], [39], low latency [46], [44] and security [55], [56] in the vehicular network, but there are many issues still need to solve it, for example, cost, security, emergency services, heterogeneity and the performance of SDN controller in miss situation. The researchers need to address the following open issues:…”

Section: Open Issues With Research Directionmentioning

confidence: 99%

“…Data cycle modules of ITS with the intersection topology and its combination of proposed SDN via VANET[56].…”

mentioning

confidence: 99%

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A Comprehensive Survey: Benefits, Services, Recent Works, Challenges, Security, and Use Cases for SDN-VANET

et al. 2020

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Vehicular communication networks is a powerful tool that enables numerous vehicular data services and applications. The rapid growth in vehicles has also resulted in the vehicular network becoming heterogeneous, dynamic, and large-scale, making it hard to meet the strict requirements, such as extremely latency, high mobility, top security, and enormous connections of the fifth-generation network. Previous studies have shown that with the increase in the application of Software-Defined Networking (SDN) on Vehicular Ad-hoc Network (VANET) in industries, researchers have exerted considerable efforts to improve vehicular communications. This study presents an exhaustive review of previous works by classifying them based on based on wireless communication, particularly VANET. First, a concise summary of the VANET structure and SDN controller with layers and details of their infrastructure is provided. Second, a description of SDN-VANET applications in different wireless communications, such as the Internet of Things (IoT) and VANET is provided with concentration on the examination and comparison of SDN-VANET works on several parameters. This paper also provides a detailed analysis of the open issues and research directions accomplished while integrating the VANET with SDN. It also highlights the current and emerging technologies with use cases in vehicular networks to address the several challenges in the VANET infrastructure. This survey acts as a catalyst in raising the emergent robustness routing protocol, latency, connectivity and security issues of future SDN-VANET architectures. INDEX TERMS Vehicular ad hoc network (VANET), SDN, 5G, Internet of Vehicles (IoV), routing protocol, connectivity, mobility management, security.

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Section: Survey On Securitymentioning

confidence: 99%

Section: Open Issues With Research Directionmentioning

confidence: 99%

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A Comprehensive Survey: Benefits, Services, Recent Works, Challenges, Security, and Use Cases for SDN-VANET

et al. 2020

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“…MusaBalta [16] developed a 3-stage fuzzy-decision tree model to monitor the traffic signalling, by focusing environmental factors and activity information like vehicle density vehicle signalling etc.,. [17] Muhammad et al [18], provide an extensive overview of the ITS and the evolution of ITS to VANETs discussed the privacy and security attacks in VANETs with their applications and challenges [19].…”

Section: Scenarios Of Travelingmentioning

confidence: 99%

“…Moreover, it would control the acceleration and deceleration of vehicles by interacting with the infrastructure units deployed at road sides. It pay the way of benefiting in sinking the total time of travel for the general public in transit [16].…”

Section: Review On Energy Efficient Data Disseminationmentioning

confidence: 99%

2M2C-R2ED: Multi-Metric Cooperative Clustering Based Routing for Energy Efficient Data Dissemination in Green-VANETs

Dhasarathan¹,

Dumka

Loganathan

2020

Technol Econ Smart Grids Sustain Energy

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The aim of this paper is to focus on energy dissemination for green vehicle transportation. In current scenario population of urban areas keeps increasing as the people move towards the cities in search of jobs and betterlife style. This leads to an increase in the number of vehicles on the road. But the transport network which is accessible to the citizens is less when compared to their demand. This situation results in more vehicles on the road. The result of which is one of the factors that aggravate the traffic congestion. It is identified the vehicle volume on road is 91.7% which increases the CO2 emission to 93.25% every month. 2M2C-R2ED shows its efficiency in identification and segregation of alternative route by IWS with an average frequency of 3.82%. Traffic congestion occurs when the available transport resources are less when compared to the number of vehicles that share the resource. As the number of vehicles increases the resources become scarce and congestion is more. The demand for the resources is higher than the actual capacity of the roads and the streets. There are some circumstances that which will aggravate the traffic congestion. The circumstances can be the road condition (potholes, road repair), accidents and some natural calamities. There is a lot of research being done to predict the traffic and model it in order to find a solution that will make the condition better. But still it is an open issue. The accuracy of the predictions done is less.

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A novel optimized intelligent green signal timing system for urban corridor

Malathi

Kumar

2022

Concurrency and Computation

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Summary In the real world, fixed traffic time signal control is commonly used due to the low implementation cost. However, these signal systems do not achieve the best performance, especially when the unbalanced traffic demand. Hence, a novel buffalo based recurrent fuzzy green timing system (BRFGTS) is proposed to enhance the green timing. Moreover, traffic speed data was initially collected to implement the proposed model. Consequently, after neural layer training, the preprocessing was performed to eliminate the unwanted data. After that, feature extraction is done to take the required features from the preprocessed data. After extracting the features, the data are moved through the classification process. A recurrent network‐based approach trains the data in the classification process. Furthermore, the fitness of buffalo is updated in the classification layer of the recurrent model to reduce the traveling time by improving the shortest route prediction to identify the other path to travel vehicle. The proposed green timing system is implemented in the tool named MATLAB. Subsequently, the results from the proposed model are compared with different techniques. Thus the recorded minimum traveling time by the presented BRFGTS is 20.5 s; compared to other models, it has minimized the traveling time by 40%. Also, the proposed model has minimized the queue length by 38% than the compared models. Hence, the robustness of the novel BRFGTS has been proved.

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A 3-stage fuzzy-decision tree model for traffic signal optimization in urban city via a SDN based VANET architecture

Cited by 54 publications

References 14 publications

A Comprehensive Survey: Benefits, Services, Recent Works, Challenges, Security, and Use Cases for SDN-VANET

A Comprehensive Survey: Benefits, Services, Recent Works, Challenges, Security, and Use Cases for SDN-VANET

2M2C-R2ED: Multi-Metric Cooperative Clustering Based Routing for Energy Efficient Data Dissemination in Green-VANETs

A novel optimized intelligent green signal timing system for urban corridor

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