Infrastructure Assisted Automation of Lane Change Manoeuvre for Connected and Autonomous Vehicles | IEEE Conference Publication | IEEE Xplore

Infrastructure Assisted Automation of Lane Change Manoeuvre for Connected and Autonomous Vehicles


Abstract:

This paper proposes an innovative way of performing efficient lane changes in road traffic composed of autonomous vehicles. In a world where more and more objects are con...Show More

Abstract:

This paper proposes an innovative way of performing efficient lane changes in road traffic composed of autonomous vehicles. In a world where more and more objects are connected to the Internet and are involved in the constant flow of data, it seems logical that automobile traffic made of inter-connected vehicles will soon arise. To be widely used by the public, Connected and Autonomous Vehicles (CAVs) need to safely and efficiently perform lane change manoeuvre which is one of the most dangerous manoeuvres on the road. This paper proposes an original lane change protocol inspired by the way mutual exclusion works in an Operating System. The protocol benefits from the smart road infrastructure support to efficiently track open spaces between moving vehicles and prepare the most suitable space for a vehicle aiming to change its current lane. The evaluation results highlight the efficiency of our protocol and its potential to make journeys by vehicle enjoyable for all occupants.
Date of Conference: 14-17 October 2019
Date Added to IEEE Xplore: 20 April 2020
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Conference Location: Casablanca, Morocco

I. Introduction

Efficient and green transportation is a key enabler of smart cities which will revolutionise our lives in the near future. Indeed, achieving faster and smarter mobility of people and goods in and around cities depends on the sophistication level of traffic congestion mitigation techniques as well as the advancement of the deployed road infrastructure [1] . Nowadays, congested traffic is the root cause of a number of problems such as air pollution and the excessive use of fossil fuel. In [2] , the authors state that “the fuel consumed by vehicles stopping and idling accounts for approximately 40% of network wide vehicular fuel consumption Their research work has solved this issue by developing an intelligent system that would better handle the operations of the traffic lights to avoid idle vehicles on the roads. This is achieved using a series of sensors deployed around traffic lights to sense and report the presence or absence of cars waiting to go through. This data would then be processed and used to enhance the fluidity of the traffic at the crossing. As this paper was written in 2007, it misses out on an important feature of current and future road traffic, i.e., autonomous vehicles. This breakthrough technology could lead to a more efficient intelligent traffic system capable of interacting with the cars at any point on the road.

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