An Advanced Coordination Protocol for Safer and more Efficient Lane Change for Connected and Autonomous Vehicles

Hodgkiss, Jack; Djahel, Soufiene; Hadjadj‐Aoul, Yassine

doi:10.1109/ccnc.2019.8651668

Cited by 9 publications

(3 citation statements)

References 7 publications

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“…In the same year, Junho and Lee(2018) designed to perform two-lane transform maneuvers using an explicit model predictive controller, mainly used for discrete time linear time-varying, and has been shown to be effective in autonomous driving situations. In 2019, Hodgkiss et al(2019) proposed two new complementary protocols for autonomous vehicles to realize efficient and safe lane switching operations for autonomous vehicles.…”

Section: Autonomous Vehicle (B) Situation2mentioning

confidence: 99%

Dynamic lane-changing game model in mixed autonomous and human-driven vehicle environment

Cao

Sun

2023

Preprint

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Lane changing in mixed environments is a critical task that requires autonomous vehicles(AV) to respond to constantly changing traffic conditions in real time, while dealing with the uncertainties introduced by human-driven vehicles(HV). This paper proposes a dynamic lane-changing game model that captures the dynamic interaction among vehicles during lane-changing. To address the uncertainty in human drivers' intentions in the mixed environment, uncertain parameter is introduced that capture their diverse payoff preferences. When tackling the lack of information exchange between AV and HV, a strategy prediction algorithm based on the introduced parameter is proposed, enabling AV to predict the action of HV. The simulation is conducted using Next Generation Simulation (NGSIM) data to verify the effectiveness of the algorithm. The results indicate that the presence of algorithmic strategy assistance enables AV to consistently perform safe and efficient lane-changing maneuvers in the presence of parameter variations in human drivers.

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Section: Autonomous Vehicle (B) Situation2mentioning

confidence: 99%

Dynamic lane-changing game model in mixed autonomous and human-driven vehicle environment

Cao

Sun

2023

Preprint

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“…Autonomous vehicles undertaking co-operative lane changing using coordination protocols could provide a safer and more efficient lane changing manoeuvre [51]. Researchers have agreed that optimised lane-changing manoeuvres in conjunction with smaller headway gap between trailing ConFAVs have the potential to significantly reduce congestion [52].…”

Section: Lane Changing Behaviour and Congestionmentioning

confidence: 99%

Potential of Connected Fully Autonomous Vehicles in Reducing Congestion and Associated Carbon Emissions

2022

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Congestion is an ongoing problem for many urban centres worldwide (such as London), leading to excessive delays, noise and air pollution, frustrated drivers, and high energy consumption. The carbon footprint of conventional transport systems can be high as a result and transport is among the highest contributors of greenhouse gas emissions. Therefore, with the growing interest in developing connected fully autonomous vehicles (ConFAVs), there is a pressing need to consider their effects within the congested urban setting. To address this, the current research study was designed to investigate the potential for ConFAVs in providing a sustainable transport solution. During this research, a simulation model was developed, calibrated, and validated using field data collected from several sites in East London, using the graphical user interface (GUI) simulation software PTV VISSIM to simulate the proposed driving and car following behaviour, which included the platooning of these ConFAVs, to assess how they could improve the level of service of the roads. Using the new model, this research addresses the shortcomings of two other adaptations of the Wiedemann 99 car-following models by changing the ConFAV’s behaviour to be more cautious when travelling behind a human driven vehicle, and less cautious when behind another ConFAV. As little is known about the transitional period from zero autonomy to full autonomy on the already congested road network, due to the fact that these vehicles are typically tested in small numbers (often one at a time in a controlled environment), the present research study introduced ConFAVs to the simulated network gradually and in large numbers at 20% intervals (namely 0% where there are no ConFAVs, 20%, 40%, 60%, 80%, and finally 100% where all vehicles within the network were ConFAVs). The average delays and subsequent level of service for the roads within the networks were then assessed against each ConFAV penetration level. This helped understand how the network’s efficiency changes when the number of ConFAVs increases, and the potential benefits for these self-driving vehicles on congestion and the ensuing greenhouse gas emissions. The model showed that a reduction in delay of up to 100% can be achieved by introducing ConFAVs, which translates to a significant reduction in greenhouse gas emissions. This, coupled with the fact that ConFAVs are predominantly electric, points to a future sustainable road transport system. The primary purpose of this research would be to investigate the potential of ConFAVs in reducing traffic congestion and, as a result, greenhouse gas emissions.

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“…In the simulations made with the proposed collaborative lane change model, it has been observed that the vehicles can safely perform the lane change maneuver. Hodgkiss et alHodgkiss et al, (2019) discuss two new methods of utilizing vehicle communication for CAVs to perform lane change maneuvers under high efficiency and high safety. The first method is the method in which the lane change maneuver is performed by giving special permissions to the vehicle that will change lanes of the central management, which includes intelligent transportation systems such as RSU and traffic light controllers throughout a certain distance.…”

mentioning

confidence: 99%

Recent Studies in the Literature on Nonlinear Control of Platoons and Transitional Maneuvers

KENAR

2023

Mehmet Akif Ersoy Üniversitesi Fen Bilimleri Enstitüsü Dergisi

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Vehicle Platoons consist of a leader vehicle and a group of connected automated vehicles (CAV) that follow the leader at a predetermined inter vehicle distance and move together at a certain common speed. This topic has been studied extensively in the literature by academicians in recent years. Therefore, a review of the literature on this topic is needed to understand which problems need to be solved and which issues need further study on vehicle platoons. For this reason, this study was conducted to reveal the latest situation on vehicle platoons with existing studies.

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An Advanced Coordination Protocol for Safer and more Efficient Lane Change for Connected and Autonomous Vehicles

Cited by 9 publications

References 7 publications

Dynamic lane-changing game model in mixed autonomous and human-driven vehicle environment

Dynamic lane-changing game model in mixed autonomous and human-driven vehicle environment

Potential of Connected Fully Autonomous Vehicles in Reducing Congestion and Associated Carbon Emissions

Recent Studies in the Literature on Nonlinear Control of Platoons and Transitional Maneuvers

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