A Real Time Algorithm for Versatile Mode Parking System and Its Implementation on FPGA Board

This paper presents the design and development of a technique for an Autonomous and Versatile mode Parking System (AVPS) that combines a various number of parking modes. The proposed approach is different from that of many developed parking systems. Previous research has focused on choosing only a parking lot starting from two parking modes (which are parallel and perpendicular). This research aims at developing a parking system that automatically chooses a parking lot starting from four parking modes. The automatic AVPS was proposed for the car-parking control problem, and could be potentially exploited for future vehicle generation. A specific mode can be easily computed using the proposed strategy. A variety of candidate modes could be generated using one developed real time VHDL (VHSIC Hardware Description Language) algorithm providing optimal solutions with performance measures. Based on simulation and experimental results, the AVPS is able to find and recognize in advance which parking mode to select. This combination describes full implementation on a mobile robot, such as a car, based on a specific FPGA (Field-Programmable Gate Array) card. To prove the effectiveness of the proposed innovation, an evaluation process comparing the proposed technique with existing techniques was conducted and outlined.

Financial Viability of a Photovoltaic System: the case of University Hospital at the UFSCar/Brazil

Considering the negative consequences of the excessive use of non-renewable energy and the development of technologies related to photovoltaic energy, the present paper aims to analyze if the photovoltaic systems are economically viable for university hospitals. A photovoltaic system was designed in the parking lot of the University Hospital of the Federal University of São Carlos (UFSCar) and analyzed the financial viability of its installation. As a result, the photovoltaic system is financially viable, with an expected generation of 194.2 MWh in the first year and a payback of 7 years. Thus, this paper contributes to the feasibility of photovoltaic projects in university hospitals and the reduction of electric energy consumption, reducing its operational costs, reducing the emission of pollution, and diversification of the Brazilian energy matrix. Furthermore, the results can be used as a scientific basis for other fields, such as public and private hospitals and clinics.

Parking Requirement of Institutional Land Use

Parking demand rates are one of the essential keys to urban city planning around the world. Most cities produced the most suitable parking rates, and models relied on their local conditions, regulations, and people’s habits. In Iraq, there is a lack of parking studies, and therefore, there is a lot of missing information which if be found, will be very valuable for better enhancing and managing the transportation network system. Institutional land use or Government Ministries are the land use type in which this research tries to find its parking generation rates. The goal is to produce models and rates for parking generation by using certain independent variables according to the characteristics of the land-use type. The research study area is the urban areas outside Baghdad CBD. Several sites were selected located in different parts of Baghdad. The number of study sites is three. The collected data about sites are the total number of site employees, site gross floor area, and maximum parked vehicles at each site for an Am and Pm period. Each site has a clear parking lot; besides, the sites were selected relied on particular criteria. The field survey was done at each site for defining days and times. The final stage is a data analysis and producing parking generation rates and models to determine the required parking demand for this land-use type. Statistical analysis of data, model generation, was done by the computer program (SPSS). It concluded that the institutional land use produced 0.94 spaces per 100 m2 of GFA and 0.1 spaces per employee.

Evaluation of the Dimensions of the Tsunami Evacuation Path for the Community of Air Tawar Barat Village, North Padang District, Padang City, Based on Geographic Information System (GIS)

Air Tawar Barat Village is located in North Padang District, Padang City which is directly adjacent to the Indian Ocean in the west, so there is a risk of a tsunami disaster. The current evacuation route, which is one of the efforts to overcome the tsunami disaster, seems to be still ineffective to use because the distance that must be covered is 3-5 km in less than 30 minutes. This study aims to determine the direction of an effective evacuation route and then make a comparison with the evacuation route that has been determined by the Government. The method used is Network Analyst. The results of this study obtained 3 alternatives to make evacuation more effective. The alternative is to make access roads around Jalan Gajah to go to P-TES in the UNP area. Alternative 2 is to make P-TES in the parking lot of the Air Tawar Health Center so that people around the river mouth can evacuate faster because they are closer. Alternative 3, the community around the North Padang Police Sector can evacuate by heading to P-TES on Jalan Polonia, Air Tawar Timur Village to stay away from the beach. The three alternatives make the evacuation time to 10 minutes by heading to 26 P-TES. In addition, the evacuation map as a result of the analysis is more effective because the route has a route that is more likely to be taken by the community compared to the government evacuation map.

Pengembangan Penataan Perparkiran Universitas Hasanuddin Di Fakultas Teknik, Fakultas MIPA Dan Fakultas Farmasi

Meningkatnya pemilikan kendaraan bermotor civitas akademika Universitas Hasanuddin mengakibatkan peningkatan permintaan fasilitas parkir mengingat fasilitas parkir merupakan bagian yang tak terpisahkan dari sistem transportasi sehingga menimbulkan kesemrawutan perparkiran seperti yang dilihat pada area perparkiran Fakultas Teknik, Fakultas MIPA dan Fakultas Farmasi. Tujuan penelitian ini, yaitu menyusun konsep penataan ruang parkir yang dapat menjelaskan kapasitas ruang parkir efektif ditinjau berdasarkan tata layout bangunan dan kebutuhan parkir Fakultas Teknik, Fakultas MIPA, dan Fakultas Farmasi di Universitas Hasanuddin Tamalanrea, Makassar menggunakan metode penelitian deskriptif kuantitatif dalam menganalisis karakteristik parkir untuk mengetahui kapasitas parkir, volume parkir, akumulasi parkir, tingkat penggunaan parkir, dan kebutuhan parkir kendaraan roda dua dan roda empat yang keluar-masuk area parkir selama lima hari kerja mulai pukul 06.30 sampai dengan pukul 17.30 dengan hasil penelitian menunjukkan bahwa penyusunan sebuah konsep penataan ruang parkir efektif di lingkungan tiga fakultas di Universitas Hasanuddin (Teknik, MIPA, dan Farmasi) berhasil disusun dengan merekomendasikan penggabungan beberapa lahan parkir menjadi satu area parkir kendaraan roda empat dan sentralisasi parkiran kendaraan beroda dua. The increasing number of vehicles ownership among the Hasanuddin University academic community resulted in increased demand for parking facilities; considering it is an integral part of the transportation system, the steep demands causing parking disorganize as seen in the parking facilities of the Faculty of Engineering, Faculty of Science and Faculty of Pharmacy. This study attempts to propose a parking spaces rearrangement that could describe the effective capacity of parking area from the standpoint of the building layout planning and the parking spaces needs of the Faculty of Engineering, Faculty of Science and Faculty of Pharmacy at the University of Hasanuddin Tamalanrea Makassar. Using descriptive quantitative research method in analyzing the characteristics of parking to determine the capacity of parking, parking volume, accumulated parking, parking usage levels, and the need for parking of the two-wheeled and four-wheeled vehicles entered and exited the parking area for five working days; starting at 06:30 AM until 17.30 PM, resulting a concept of an effective parking spaces rearrangement that encompassing the three faculty of Hasanuddin University (faculty of Engineering, Sciences, and Pharmacy) by recommending the incorporation of several of the parking lot into a four-wheeled vehicle parking areas and centralized parking facilities for two-wheeled vehicles.

Optimization of the Energy Consumption of Connected Objects

The IoT is a growing new approach that has been defined as a global network of devices and machines capable of reliably communicating with each other without human intervention. It is one of the essential technologies in any field, such as medicine and attracts great attention in the future. It is applied in several areas that have achieved success. However, the power and the addition of connected objects to technology is based on the fact that its objects can establish several tasks: communicate, analyze, process and manage data in a parallel manner, which is very difficult in terms of energy consumption. Therefore, the problems related to consumption slow down considerably the evolution and the fast deployment of this high technology.Therefore, it is necessary to create a new lightweight and robust mechanism, which ensures the minimization of the consumption of the objects and makes these objects efficient and less costly while being adapted to the capacities of objects and technologies.That is why our paper aims to address this significant problem and present the role of energy consumption, which is essential in deploying successful IoT products and services and presenting the IoT categories for applications. First, we propose a method that minimizes energy consumption and meets our need through three essential steps: firstly, to study the existing methods to minimize energy consumption. Next, based on these methods, we create a new concept using the data flows. Finally, we implement our solution in an intelligent parking lot to carry out our approach and describe our design steps and conclude with the result of our study and make an interpretation that summarizes our work.

Multi-Household Energy Management in a Smart Neighborhood in the Presence of Uncertainties and Electric Vehicles

The pathway toward the reduction of greenhouse gas emissions is dependent upon increasing Renewable Energy Sources (RESs), demand response, and electrification of public and private transportation. Energy management techniques are necessary to coordinate the operation in this complex scenario, and in recent years several works have appeared in the literature on this topic. This paper presents a study on multi-household energy management for Smart Neighborhoods integrating RESs and electric vehicles participating in Vehicle-to-Home (V2H) and Vehicle-to-Neighborhood (V2N) programs. The Smart Neighborhood comprises multiple households, a parking lot with public charging stations, and an aggregator that coordinates energy transactions using a Multi-Household Energy Manager (MH-EM). The MH-EM jointly maximizes the profits of the aggregator and the households by using the augmented ϵ-constraint approach. The generated Pareto optimal solutions allow for different decision policies to balance the aggregator’s and households’ profits, prioritizing one of them or the RES energy usage within the Smart Neighborhood. The experiments have been conducted over an entire year considering uncertainties related to the energy price, electric vehicles usage, energy production of RESs, and energy demand of the households. The results show that the MH-EM optimizes the Smart Neighborhood operation and that the solution that maximizes the RES energy usage provides the greatest benefits also in terms of peak-shaving and valley-filling capability of the energy demand.

A Novel Mean Field Game-Based Strategy for Charging Electric Vehicles in Solar Powered Parking Lots

We develop a strategy, with concepts from Mean Field Games (MFG), to coordinate the charging of a large population of battery electric vehicles (BEVs) in a parking lot powered by solar energy and managed by an aggregator. A yearly parking fee is charged for each BEV irrespective of the amount of energy extracted. The goal is to share the energy available so as to minimize the standard deviation (STD) of the state of charge (SOC) of batteries when the BEVs are leaving the parking lot, while maintaining some fairness and decentralization criteria. The MFG charging laws correspond to the Nash equilibrium induced by quadratic cost functions based on an inverse Nash equilibrium concept and designed to favor the batteries with the lower SOCs upon arrival. While the MFG charging laws are strictly decentralized, they guarantee that a mean of instantaneous charging powers to the BEVs follows a trajectory based on the solar energy forecast for the day. That day ahead forecast is broadcasted to the BEVs which then gauge the necessary SOC upon leaving their home. We illustrate the advantages of the MFG strategy for the case of a typical sunny day and a typical cloudy day when compared to more straightforward strategies: first come first full/serve and equal sharing. The behavior of the charging strategies is contrasted under conditions of random arrivals and random departures of the BEVs in the parking lot.