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A Connected Car-based Parking Location Service System

The number of vehicles is increasing rapidly, which results in finding a free parking spot as a prominent problem. Due to the increased number of cars, drivers have to hunt around the streets and parking facilities searching for free parking spots. Consequently, there are concerns about traffic congestion as well as time consumption, fuel wasting, and air quality degradation due to the emission of the fine dust at residential areas and shopping districts. To alleviate the problems, we propose a connected car-based on-street parking location service system, in which the system consists of the parking space detection device (DD), the cloud server, and mobile application. Each of the cars in the system is equipped with a DD that acts as a mobile sensing unit (MSU). The proposed system is based on the concept of crowdsourcing; thus, each MSU is responsible for detecting the free parking location and transmitting the parking-related information (MSU id, MSU location, the width of detected free parking location) to the server through a wireless network. Later, a user (i.e., driver) can select a free parking location and navigate to its feasible parking location via a mobile application. However, when the system is unable to detect any free on-street parking location, it suggests users about off-street parking facilities near the user's intended destination.