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Operation of the Collaborative Composite Manufacturing (CCM) System

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Autonomous Car Parking System through a Cooperative Vehicular Positioning Network.

Alejandro Correa¹, Guillem Boquet², Antoni Morell³

¹Telecommunications and Systems Engineering Department, Universitat Autònoma de Barcelona, Bellaterra 08193, Spain. alejandro.correa@uab.cat.

Sensors (Basel, Switzerland)

|April 14, 2017

Summary

This study introduces a smart parking system for autonomous cars within vehicular sensor networks (VSNs). The system optimizes parking by considering all vehicles, enhancing accessibility for autonomous vehicles.

Keywords:

autonomous car smart parking vehicular communications vehicular sensor networks

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Area of Science:

Computer Science
Electrical Engineering
Transportation Systems

Background:

The automotive industry is rapidly advancing towards fully autonomous vehicles, necessitating new services within Vehicular Sensor Networks (VSNs).
Autonomous cars act as mobile nodes in VSNs, exchanging sensor and state information.
Intelligent parking management is crucial for integrating autonomous cars with traditional vehicles, leveraging their advanced capabilities.

Purpose of the Study:

To design a novel smart parking system for VSNs that accommodates heterogeneous vehicle types (autonomous and traditional).
To provide optimal parking guidance for autonomous cars through a collaborative approach.
To maximize the common good of all vehicles by improving the accessibility rate of free parking spots.

Main Methods:

Development of a smart parking system architecture integrated with VSNs.
Implementation of a collaborative approach to determine the best parking spot based on accessibility rate.
Simulation of a real-world parking lot scenario to evaluate system performance.

Main Results:

The proposed system effectively guides autonomous cars to suitable parking locations.
Performance evaluation shows the system's efficiency is close to optimal under various communication ranges and autonomous car penetration rates.
The collaborative approach successfully balances the needs of both autonomous and traditional vehicles.

Conclusions:

The designed smart parking system offers a viable solution for managing heterogeneous traffic in intelligent parking environments.
The system enhances parking efficiency and accessibility for autonomous vehicles within VSNs.
Future work can further refine the collaborative algorithms for even greater optimization.