Distributed Mutual Exclusion Algorithms for Intersection Traffic Control

Wu, Weigang; Zhang, Jiebin; Luo, Aoxue; Cao, Jiannong

doi:10.1109/tpds.2013.2297097

Cited by 104 publications

(75 citation statements)

References 38 publications

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“…In [15] mutual exclusion algorithm is introduced, which is organized via V2V (distributed, without need of intersection controller). Some papers use linear programming algorithms, e.g.…”

Section: State Of the Artmentioning

confidence: 99%

Cooperative Intelligence in Roundabout Intersections Using Hierarchical Fuzzy Behavior Calculation of Vehicle Speed Profile

Bosankic¹,

Mehmedović

2016

MATEC Web Conf.

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Abstract. In this paper, a new fuzzy-behavior-based algorithm for roundabout intersection management is presented. The algorithm employs cooperative intelligence and includes intelligent vehicles and infrastructure to calculate speed profiles for different vehicles, in order to achieve more comfortable driving profiles, as well to reduce congestion and CO2 emissions. The algorithm uses adaptive spatio-temporal reservation technique and was tested in MATLAB/Simulink environment. The algorithm is designed to function in different scenarios with both cooperative and non-cooperative vehicles, as well as optional intersection infrastructure. Results have show that using the proposed algorithm different vehicle communication types can be successfully combined in order to increase traffic flow through roundabout intersections.

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“…In [15] mutual exclusion algorithm is introduced, which is organized via V2V (distributed, without need of intersection controller). Some papers use linear programming algorithms, e.g.…”

Section: State Of the Artmentioning

confidence: 99%

Cooperative Intelligence in Roundabout Intersections Using Hierarchical Fuzzy Behavior Calculation of Vehicle Speed Profile

Bosankic¹,

Mehmedović

2016

MATEC Web Conf.

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“…In recent years, several researchers focused on solving mutual exclusion problem and its variants in MANETs, therefore several algorithms to solve ME problem in MANETs [21,22,23,24,25,26,27,28] have been proposed. Whereas, Chang-Singhal-Liu [7] used the concept of dynamic request set in order to reduce the message complexity of Suzuki-Kasmi algorithm [6] which was based on static request set.…”

Section: Related Workmentioning

confidence: 99%

Dynamic Request Set based Mutual Exclusion Algorithm in MANETs

Khanna¹,

Singh²,

Swaroop³

2015

IJWMT

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Mutual Exclusion (ME) problem involves a group of processes, each of which intermittently requires access to the only resource present in the environment. Handling ME problem becomes difficult due to the dynamic nature of the ad hoc environment. This paper presents a token-based solution to ME problem in the mobile ad hoc environment. The proposed token based algorithm is sensitive to link forming and link breaking and thus is suitable for MANET. The algorithm uses the concept of dynamic request set (DRS). As the request set is dynamically updated, the average size of request set is reduced resulting in less number of messages exchanged per critical section. The algorithm satisfies mutual exclusion, starvation freedom, and freedom from deadlock. The present algorithm has been compared with DRS based ME algorithms for static distributed systems. The results show that the concept of DRS in MANETs can be successfully used. Token loss problem has also been handled separately in the present exposition.

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“…In practice, several solutions can be expected such as the construction of new roads, keeping a special track for public transport [3], and improvement of the road signaling system [4][5][6][7][8][9]. Two solutions are suggested:…”

Section: Introductionmentioning

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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Distributed Mutual Exclusion Algorithms for Intersection Traffic Control

Cited by 104 publications

References 38 publications

Cooperative Intelligence in Roundabout Intersections Using Hierarchical Fuzzy Behavior Calculation of Vehicle Speed Profile

Cooperative Intelligence in Roundabout Intersections Using Hierarchical Fuzzy Behavior Calculation of Vehicle Speed Profile

Dynamic Request Set based Mutual Exclusion Algorithm in MANETs

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

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