PURPOSES : In this study, the social cost of on-street parking spaces was estimated by dividing it into private and external costs. METHODS : We established a methodology and conducted a case analysis of Seoul. Private costs were estimated from the guidelines and historical data collected. The opportunity cost of the land was estimated using spatial information. External costs built a macroscopic model (using TransCAD) and estimated travel time, operation, accident, and environmental costs. RESULTS : The social cost per space was estimated at 77 million won. Private costs were analyzed as 133.3 billion won, the opportunity cost of the land was 68,555 billion won, and external costs were 118,25 billion won in 2020. CONCLUSIONS : In this study, a methodology for estimating the social cost of a road parking facility was established and applied to the case of Seoul. Therefore, it is expected to contribute to the objective reviewing of the feasibility of policy evaluation or facility investment related to parking facilities.

This paper proposes a parking space detection method for autonomous parking by using the Around View Monitor (AVM) image and Light Detection and Ranging (LIDAR) sensor fusion. This method consists of removing obstacles except for the parking line, detecting the parking line, and template matching method to detect the parking space location information in the parking lot. In order to remove the obstacles, we correct and converge LIDAR information considering the distortion phenomenon in AVM image. Based on the assumption that the obstacles are removed, the line filter that reflects the thickness of the parking line and the improved radon transformation are applied to detect the parking line clearly. The parking space location information is detected by applying template matching with the modified parking space template and the detected parking lines are used to return location information of parking space. Finally, we propose a novel parking space detection system that returns relative distance and relative angle from the current vehicle to the parking space.

In the recent remodeling construction for old apartment, it is general to extend the parking space for the increased cars for residents. This paper reviews the extension methods of parking space and presents the problems that must be solved for the construction. In this paper, three extension cases of parking space in the remodeling projects were reviewed. As a result, the demand for the extension needs to be analyzed for the various cases and the technologies for the best-fitted construction should be suggested based on the demand.

Automatic parking assist system is one of the key technologies of the future automobiles. Control problem of a car-like vehicle is not easy due to the nonholonomic constraints. In this paper, a practical solution for planning a car-parking path is proposed according to the proposed motion space (M-space) approach. The M-space is the extension of the conventional configuration space(C-space). A collision-free, nonholonomic feasible path can be directly computed by the M-space conversion and a back-propagation of reachable regions from the goal. the proposed planning scheme provide not a single solution, but also a candidate solution set, therefore, optimization of the parking path can beeasily carried out with respect to performance criteria such as safety, maneuvering, and so on. Presented simulation results clearly show that the proposed scheme provides various practical solutions.