A Novel Connected Vehicle-Based Parking Space Guidance System

Abstract

This paper proposes a novel connected vehicle-based parking space guidance system, which improves the effectiveness of on-street (roadside) parking by detecting, updating, and processing available parking spaces in real time. The proposed system consists of a detecting device installed in the car, a cloud server, and a mobile application connected to LTE cellular networks, in which the server examines the correctness of available parking spaces found by the detection device, selects feasible parking locations (FPLs) based on the user’s driving and walking distances, and provides the FPLs to the users requesting parking locations. Furthermore, with the mobile application, users can select a feasible parking location from the FPLs and navigate to the desired parking location. In particular, the proposed system resolves unnecessary navigations to the parking spaces intercepted earlier by other drivers and also provides parking facilities when FPLs are unavailable. We developed the system as a prototype and evaluated its performance through field and laboratory trials. The evaluation results show that the system effectively provides FPLs to users looking for parking spaces. With the application of the system to a smart city, it is expected to significantly alleviate the problems caused by cars roaming in search of parking lots.