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

Rida, Nouha; Ouadoud, Mohammed; Hasbi, Abderrahim

doi:10.3991/ijim.v14i02.10332

Cited by 12 publications

(8 citation statements)

References 20 publications

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“…Rida et al proposed ACO for real-time traffic light optimization problems at isolated signalized intersections [71]. Objective functions include minimizing the vehicle waiting time and increasing the traffic flow.…”

Section: Ant Colony Optimization (Aco)mentioning

confidence: 99%

Metaheuristics for Traffic Control and Optimization: Current Challenges and Prospects

Jamal¹,

Al-Ahmadi²,

Butt³

et al. 2023

Search Algorithm - Essence of Optimization

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Intelligent traffic control at signalized intersections in urban areas is vital for mitigating congestion and ensuring sustainable traffic operations. Poor traffic management at road intersections may lead to numerous issues such as increased fuel consumption, high emissions, low travel speeds, excessive delays, and vehicular stops. The methods employed for traffic signal control play a crucial role in evaluating the quality of traffic operations. Existing literature is abundant, with studies focusing on applying regression and probability-based methods for traffic light control. However, these methods have several shortcomings and can not be relied on for heterogeneous traffic conditions in complex urban networks. With rapid advances in communication and information technologies in recent years, various metaheuristics-based techniques have emerged on the horizon of signal control optimization for real-time intelligent traffic management. This study critically reviews the latest advancements in swarm intelligence and evolutionary techniques applied to traffic control and optimization in urban networks. The surveyed literature is classified according to the nature of the metaheuristic used, considered optimization objectives, and signal control parameters. The pros and cons of each method are also highlighted. The study provides current challenges, prospects, and outlook for future research based on gaps identified through a comprehensive literature review.

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Section: Ant Colony Optimization (Aco)mentioning

confidence: 99%

Metaheuristics for Traffic Control and Optimization: Current Challenges and Prospects

Jamal¹,

Al-Ahmadi²,

Butt³

et al. 2023

Search Algorithm - Essence of Optimization

View full text Add to dashboard Cite

show abstract

“…In another study (Rida et al, 2020a), the authors proposed a multi-objectives scheme ant colony optimization algorithm for traffic light (ASTL) to control dynamically the cycles of traffic lights. This solution controls the traffic light by using nature-inspired solution called ant colony optimization.…”

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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“…In another study [6], the authors proposed a multi-objective scheme ant colony optimization algorithm for a traffic light (ASTL) to control dynamically the cycles of traffic lights. This solution controls the traffic light by using a nature-inspired solution called ant colony optimization.…”

Section: Related Workmentioning

confidence: 99%

“…The traffic information used in these strategies is collected by inductive loops [11], cameras [6,13], radars, VANET (ad hoc network for vehicles) [15], or a wireless sensors network [1,17,18].…”

Section: Related Workmentioning

confidence: 99%

Coordinated Signal Control System in Urban Road Network

Rida

Ouadoud

Hasbi³

2020

Int. J. Onl. Eng.

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Road congestion has become one of the major problems of urban cities due to the growth in the number of vehicles and the limitation of road infrastructure. The consequences of this congestion can be seen through a difficult movement of vehicles, an increase in CO2 emissions, increasing energy consumption, and stress for drivers. Intelligent Transport Systems (ITS) based on wireless sensor networks (WSN) have emerged with new solutions and application potentials in the context of the Intelligent city. In this article, we study an approach of using a wireless sensor network to control the traffic lights of several intersections and optimize their performance by reducing the average waiting time of users. the proposed adaptive traffic light controller determines the traffic lights sequence in real time based on the current traffic situation at the local intersection, the expected arrivals and the degree of congestion at destination intersections. To evaluate our approach, we construct an intersection network of twenty-four intersections with high traffic intensity using the SUMO simulator, the results of the simulation demonstrate the efficiency and practicality of the proposed algorithm.

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

Cited by 12 publications

References 20 publications

Metaheuristics for Traffic Control and Optimization: Current Challenges and Prospects

Metaheuristics for Traffic Control and Optimization: Current Challenges and Prospects

A Collaborative Road Traffic Regulation Approach Using a Wireless Sensor Network

Coordinated Signal Control System in Urban Road Network

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