A Concept of Multiple-lane Vehicle Grouping by Swarm Intelligence

It is known that nowadays there are too many vehicles present on the roads that lead to an increased risk of accidents, fuel consumption, and pollution, vehicle components wear, more traffic jams, driving stress and discomfort for the passengers, longer journey duration, large vehicle-to-vehicle gap...

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Bibliographic Details
Main Authors: Caruntu, Constantin F., Ferariu, Lavinia, Pascal, Carlos M., Cleju, Nicolae, Comsa, Ciprian R.
Format: Conference Proceeding
Language:English
Subjects:
Autonomous vehicles
Collision avoidance
Cooperative control
Force
Intelligent control
Interconnected systems
Multiple-lane grouping
Particle swarm optimization
Roads
Robots
Shape
Swarm intelligence
Swarm robotics
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Summary:It is known that nowadays there are too many vehicles present on the roads that lead to an increased risk of accidents, fuel consumption, and pollution, vehicle components wear, more traffic jams, driving stress and discomfort for the passengers, longer journey duration, large vehicle-to-vehicle gaps. One solution is represented by vehicle platooning, which brings many advantages, but is naturally based on single-lane scenarios. Since vehicles drive on multiple-lane roads and highways and considering the optimal space utilization, the following concept is to treat vehicles as multiple-lane groups, i.e., individual vehicles that travel closely together on different lanes and are electronically connected through communications, by using swarm intelligence that borrows ideas from swarm robotics and dynamical multi-objective optimization. As such, this paper makes a survey of the state-of-the-art related to vehicle platooning, swarm robotics concepts, swarm path planning and traffic simulators, and presents their links in the proposed concept.
ISSN:1946-0759
DOI:10.1109/ETFA.2019.8868955