Traffic Lights Control using Wireless Sensors Networks

Rida, Nouha; Hasbi, Abderrahim

doi:10.1145/3286606.3286791

Cited by 7 publications

(6 citation statements)

References 8 publications

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“…TSC systems based on Wireless Sensor Network (WSN) have also been used at isolated intersections in [28,29]. Rida et al [28] proposed a time-fragment based control mechanism that splits the time and calculates the percentage of green ratio.…”

Section: Sensor-based Traffic Control Methodsmentioning

confidence: 99%

State-of-Art Review of Traffic Light Synchronization for Intelligent Vehicles: Current Status, Challenges, and Emerging Trends

2022

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The effective control and management of traffic at intersections is a challenging issue in the transportation system. Various traffic signal management systems have been developed to improve the real-time traffic flow at junctions, but none of them have resulted in a smooth and continuous traffic flow for dealing with congestion at road intersections. Notwithstanding, the procedure of synchronizing traffic signals at nearby intersections is complicated due to numerous borders. In traditional systems, the direction of movement of vehicles, the variation in automobile traffic over time, accidents, the passing of emergency vehicles, and pedestrian crossings are not considered. Therefore, synchronizing the signals over the specific route cannot be addressed. This article explores the key role of real-time traffic signal control (TSC) technology in managing congestion at road junctions within smart cities. In addition, this article provides an insightful discussion on several traffic light synchronization research papers to highlight the practicability of networking of traffic signals of an area. It examines the benefits of synchronizing the traffic signals on various busy routes for the smooth flow of traffic at intersections.

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Section: Sensor-based Traffic Control Methodsmentioning

confidence: 99%

State-of-Art Review of Traffic Light Synchronization for Intelligent Vehicles: Current Status, Challenges, and Emerging Trends

2022

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“…The method proposed in (Zhou et al, 2010) selects the sequence of phases composing a cycle according to several criteria which are the presence of priority vehicles, the duration of the periods without detection of new arrivals, the causes of famine, the total time of waiting and the length of the queues. In (Rida & Hasbi, 2018a) and (Rida & Hasbi, 2018b), we inspired by the "Smallest job first" method of scheduling tasks to run them by a computer processor. We proposed the "Smallest phase first" algorithm which gives priority to phases with the smallest queues.…”

Section: Related Workmentioning

confidence: 99%

A Collaborative Road Traffic Regulation Approach Using a Wireless Sensor Network

Rida

Hasbi

2021

International Journal of Service Science, Management, Engineering, and Technology

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In this paper, we detail and evaluate a coordinated approach to determining the sequence and duration of green lights at several intersections as part of the Intelligent Transportation System. We present the architecture of a wireless network used to track variations in adjacent intersections. Our algorithm exploits the collected data to determine the sequence of the green lights based on three objectives: (i) reduce the length of queues in the intersection, (ii) prioritize sending vehicle flows to intersections with lower traffic density than the most congested, (iii) synchronize traffic signals between adjacent intersections to create green waves. Traffic simulations have been simulated by the SUMO traffic simulator, they show that our solution manages to react to traffic change and reduce waiting time compared to isolated control strategies.

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“…The method proposed in [19] selects the sequence of phases composing a cycle, according to several criteria: the presence of priority vehicles, the duration of the periods without detection of new arrivals, the total waiting time and the length of the queues. In [22] and [23], we have inspired the smallest job first method of task scheduling to be execute by a computer processor. We proposed the smallest phase first algorithm, which gives priority to phases with the smallest waiting line.…”

Section: Related Workmentioning

confidence: 99%

“…We proposed the smallest phase first algorithm, which gives priority to phases with the smallest waiting line. Subsequently in [19] we introduced the waiting time in the algorithm proposed in [22].…”

Section: Related Workmentioning

confidence: 99%

Ant Colony Optimization for Real Time Traffic Lights Control on a Single Intersection

Rida

Ouadoud

Hasbi³

2020

Int. J. Interact. Mob. Technol.

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In this paper, we present a new scheme to intelligently control the cycles and phases of traffic lights by exploiting the road traffic data collected by a wireless sensor network installed on the road. The traffic light controller determines the next phase of traffic lights by applying the Ant Colony Optimazation metaheuristics to the information collected by WSN. The objective of this system is to find an optimal solution that gives the best possible results in terms of reducing the waiting time of vehicles and maximizing the flow crossing the intersection during the green light. The results of simulations by the SUMO traffic simulator confirm the preference of the developed algorithm over the predefined time controller and other dynamic controllers.

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Traffic Lights Control using Wireless Sensors Networks

Cited by 7 publications

References 8 publications

State-of-Art Review of Traffic Light Synchronization for Intelligent Vehicles: Current Status, Challenges, and Emerging Trends

State-of-Art Review of Traffic Light Synchronization for Intelligent Vehicles: Current Status, Challenges, and Emerging Trends

A Collaborative Road Traffic Regulation Approach Using a Wireless Sensor Network

Ant Colony Optimization for Real Time Traffic Lights Control on a Single Intersection

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