Mohsen Rafat, Shahram Azadi, Mozhgan Faramarzi, Ali Analooee
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引用次数: 0
Abstract
This paper proposes a novel decision-making framework that combines the influence of ahead traffic flow with the driver's personal decisions, thereby addressing the impact of transient traffic flow on lane-change decision-making. The presented algorithm can design safe trajectories without any collisions at any time of the manoeuvre considering the effects of ahead traffic flow on future decisions of the surrounding vehicles and sudden independent decisions of the surrounding vehicles during the lane change manoeuvre. In order to combine the microscopic and macroscopic models of the traffic environment around the ego vehicle, the ahead traffic flow is modelled and it is combined with the independent movements of the front vehicle in the target lane that is due to the driver's personal decisions. Using the model-based predictive control, the effects of these changes are investigated during the lane change manoeuvre. The algorithm successfully completed all lane change manoeuvres with collision avoidance considering the changes in surrounding vehicles caused by the ahead traffic flow. The performance of the proposed algorithm is simulated in complicated lane change manoeuvre regarding transient changes in the traffic flow and it is validated in IPG Automotive (IPG CarMaker) dynamic environment considering surrounding vehicles. The results indicate the desired performance of the proposed algorithm regarding macroscopic and microscopic changes around the ego vehicle even during the lane change manoeuvre.
期刊介绍:
IET Intelligent Transport Systems is an interdisciplinary journal devoted to research into the practical applications of ITS and infrastructures. The scope of the journal includes the following:
Sustainable traffic solutions
Deployments with enabling technologies
Pervasive monitoring
Applications; demonstrations and evaluation
Economic and behavioural analyses of ITS services and scenario
Data Integration and analytics
Information collection and processing; image processing applications in ITS
ITS aspects of electric vehicles
Autonomous vehicles; connected vehicle systems;
In-vehicle ITS, safety and vulnerable road user aspects
Mobility as a service systems
Traffic management and control
Public transport systems technologies
Fleet and public transport logistics
Emergency and incident management
Demand management and electronic payment systems
Traffic related air pollution management
Policy and institutional issues
Interoperability, standards and architectures
Funding scenarios
Enforcement
Human machine interaction
Education, training and outreach
Current Special Issue Call for papers:
Intelligent Transportation Systems in Smart Cities for Sustainable Environment - https://digital-library.theiet.org/files/IET_ITS_CFP_ITSSCSE.pdf
Sustainably Intelligent Mobility (SIM) - https://digital-library.theiet.org/files/IET_ITS_CFP_SIM.pdf
Traffic Theory and Modelling in the Era of Artificial Intelligence and Big Data (in collaboration with World Congress for Transport Research, WCTR 2019) - https://digital-library.theiet.org/files/IET_ITS_CFP_WCTR.pdf