Abstract

Traffic congestion is one of the most challenging problems for nowadays cities. Several contributions mainly based on V2V (Vehicle-to-Vehicle) communication have been published, but most of them have never been applied due to their communication related problems and costs. In this article, a novel cost-effective approach is introduced inspired by social life of insects where direct (V2V) communication does not exist anymore. Vehicles are equipped with devices that perform simple tasks, but their interactions with the environment through RSUs (Road Side Units) allow the creation of an intelligence which notifies drivers about congested road segments to avoid them. We call this emerging behavior self-load balancing. Description of the fundamentals of this approach and its performance are detailed in this work.

Highlights

  • Nowadays, congestions have become a daily faced problem which drastically decreases the citizens’ quality of life

  • Most of these studies rely on VANET (Vehicular Ad-hoc NETwork) approaches which include two types of communication: V2I (VehicleTo-Infrastructure) communication and V2V (Vehicle-ToVehicle) communication

  • Borrowing WMSNs (Wireless Mobile Sensor Networks) techniques to VANETs, due to their similarities, seems to be attractive, VANETs still suffer from many network issues such as bandwidth saturation and redundant data [3], late and wrong density level evaluation [4], and reliability problems [5]

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Summary

Introduction

Congestions have become a daily faced problem which drastically decreases the citizens’ quality of life It has many negative consequences [1] such as longer travel times, lower security level [2] and increased fuel consumption. Various researches have been conducted on the issue of density level evaluation Most of these studies rely on VANET (Vehicular Ad-hoc NETwork) approaches which include two types of communication: V2I (VehicleTo-Infrastructure) communication and V2V (Vehicle-ToVehicle) communication. Vehicles and infrastructure units are equipped with devices capable of short-range wireless connectivity These devices can form a particular mobile ad-hoc network: VANET.

Related work
Vehicle device
Density level estimation
Vehicle device algorithm
14 Release the VKB lock
RSU algorithm
14 Release the RSM lock
Traffic simulator
Performance evaluation
10 Conclusion
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