Adaptive Traffic Light Control in Wireless Sensor Network-Based Intelligent Transportation System

Zhou, Binbin; Cao, Jiannong; Zeng, Xiaoqin; Wu, Hejun

doi:10.1109/vetecf.2010.5594435

Cited by 141 publications

(72 citation statements)

References 8 publications

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“…Moreover, B. Zhou et al studied adaptive traffic light control for smoothing vehicles' travel and maximizing the traffic throughout for both single and multiple lanes [21], [22]. In addition, the work [23] proposed a three-tier structure for traffic light control.…”

Section: B Similar Workmentioning

confidence: 99%

The Fog Computing Paradigm: Scenarios and Security Issues

Stojmenović¹,

Wen²

2014

Annals of Computer Science and Information Systems

772

437

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Abstract-Fog Computing is a paradigm that extends Cloud computing and services to the edge of the network. Similar to Cloud, Fog provides data, compute, storage, and application services to end-users. In this article, we elaborate the motivation and advantages of Fog computing, and analyse its applications in a series of real scenarios, such as Smart Grid, smart traffic lights in vehicular networks and software defined networks. We discuss the state-of-the-art of Fog computing and similar work under the same umbrella. Security and privacy issues are further disclosed according to current Fog computing paradigm. As an example, we study a typical attack, man-in-the-middle attack, for the discussion of security in Fog computing. We investigate the stealthy features of this attack by examining its CPU and memory consumption on Fog device.

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Section: B Similar Workmentioning

confidence: 99%

The Fog Computing Paradigm: Scenarios and Security Issues

Stojmenović¹,

Wen²

2014

Annals of Computer Science and Information Systems

772

437

View full text Add to dashboard Cite

show abstract

“…The adaptive traffic light control algorithm proposed in [12] adjust both the sequence and the length of traffic lights in accordance with real-time traffic detected. The efficiency or performance in this work is considered in terms of "maximum intersection throughput (number of vehicles passing through the intersection)" and "minimum vehicles average waiting time".…”

Section: Literature Review On the Methodologies And Approaches Fmentioning

confidence: 99%

“…The authors considered the use case road model as an intersection with four directions (North: N, South: S, East: E, [12] West: W), each of which has two lanes to go, one for going forward and the other for turning left. Each lane is controlled with a traffic light that offers two signals: Red or Green.…”

Section: Literature Review On the Methodologies And Approaches Fmentioning

confidence: 99%

A survey on smart traffic network control and optimization

Merrad

Rachedi²,

Busawon

et al. 2016

2016 International Conference Multidisciplinary Engineering Design Optimization (MEDO)

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Abstract-In the current day and age, traffic in urban areas is becoming more and more complex leading to congested roads and intersections. Hence, the need for sophisticated traffic control system to reduce the congestion and provide better flow management. In this paper, we present briefly the basic notions and the most important parameters that affects the traffic control. Then, we provide a survey on the main flow management systems that are available in the literature. Some possible future research works and propositions on intelligent traffic control are also provided.

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“… B. Zhou and all proposed in [14], an adaptive traffic light control algorithm that adjusts the sequence and length of traffic signals according to the real-time traffic detected taking into account the traffic flow, waiting time. The objective is to determine the optimum duration of the green light.…”

Section: A Queue Theorymentioning

confidence: 99%

Smart Cities: Study and Comparison of Traffic Light Optimization in Modern Urban Areas Using Artificial Intelligence

Kabrane¹,

Krit²,

Elmaimouni³

2018

IJARCSSE

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Abstract-In large cities, the increasing number of vehicles private, society, merchandise, and public transport, has led to traffic congestion. Users spend much of their time in endless traffic congestion. To solve this problem, several solutions can be envisaged. The interest is focused on the system of road signs: The use of a road infrastructure is controlled by a traffic light controller, so it is a matter of knowing how to make the best use of the controls of this system (traffic lights) so as to make traffic more fluid. The values of the commands computed by the controller are determined by an algorithm which is ultimately, only solves a mathematical model representing the problem to be solved. The objective is to make a study and then the comparison on the optimization techniques based on artificial intelligence1 to intelligently route vehicle traffic. These techniques make it possible to minimize a certain function expressing the congestion of the road network. It can be a function, the length of the queue at intersections, the average waiting time, also the total number of vehicles waiting at the intersection

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Adaptive Traffic Light Control in Wireless Sensor Network-Based Intelligent Transportation System

Cited by 141 publications

References 8 publications

The Fog Computing Paradigm: Scenarios and Security Issues

The Fog Computing Paradigm: Scenarios and Security Issues

A survey on smart traffic network control and optimization

Smart Cities: Study and Comparison of Traffic Light Optimization in Modern Urban Areas Using Artificial Intelligence

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