Smart Packing With QR - Improving Cal Poly\u27s Parking System for All Users

Cal Poly Smart Parking, herein referred to as CPSP QR Code Initiative, is developed to reduce the wait times student, staff, and guest drivers experience when searching for a parking spot on campus. Cal Poly is currently undergoing a large growth in student population, and, as a result, is experiencing congestion in parking lots. Drivers will commonly spend frustrating amounts of time vulturing these parking lots for an open spot. CPSP QR Code Initiative consists of a database that is controlled by user submitted data through QR codes scanned on a user’s smartphone. This system will provide drivers with a convenient tool that allows them to visualize which parking spots are available in each respective lot. The entire concept has been experimentally implemented on a Windows Server 2008 RS host using ASP.NET programs to interact with a smartphone which has QR Reader application installed at Cal Poly parking lot H-12

Cloud Based Vehicle Parking System for Anonymous Place Using Internet of Things

The intention of our project is to create a smart parking system for smart cities and malls to find a parking space that is well suited to their respective aspects. That is, it can help in finding either the nearest spot or the best one. Thus the algorithm increases the efficiency of the cloud based system and hence develops a network architecture based on internet of things. We have also successfully implemented the proposed system in the real world

INTERNET OF THING BASED CAR PARKING SYSTEM

In the current era, we are facing a new problem of parking of vehicles. It is a major problem in urban cities. The problem is more tough because of continues growing number of vehicle and also size of vehicles. Car parking is not just a major problem in India but also in all over the world. We know that one million vehicles burn oil every day. In this paper, we propose an automatic and real-time system for automated car parking. This system would be implemented by the use of internet of things (IOTs). IOT refers as any physical thing that is connected to internet or exchanging information or data between internet and physical device. Arduino Uno is a microcontroller used in IOT. It is used for building digital devices, and interactive objects that can sense and control physical devices. Our smart parking will be implementing using Arduino Uno board for car parking and Ethernet shield to connect parking area with web or internet. By using our automated parking system, a user can save much time for searching free parking space. An infrared sensor has to be employed in each slot to check that a particular plot is vacant or not. Searching smart parking system helps people to search parking space accessible with the ease of IOT automation by supplying parking slot free information. The user can book in advance the parking slot and update the information to the server. Every user has a unique id and password. In case a car in stolen and enter the parking IOT the server checks the database and inform the police.Â

Machine vision based smart parking system using Internet of Things

It is expected that in the next decade, majority of world population will be living in cities. Better public services and infrastructures in the city are needed to cope with the booming population. City vehicles that cruising for parking have indirectly causing traffic, making one harder to travel around the city. Thus, a smart parking system can certainly lays the foundation to build a smart city. This paper proposed a cost-effective IoT smart parking system to monitor city parking space and provide real-time parking information to drivers. Moreover, instead of the conventional approach that uses embedded sensors to detect vehicles in the parking area, camera image and machine vision technology are used to obtain the parking status. In the prototype, twenty outdoor parking lots are covered using a 5 megapixel camera connected to Raspberry Pi 3 installed at the 5th floor of the nearby building. Machine vision in this project that involved motion tracking and Canny edge detection are programmed in Python 2 using OpenCV technology. Corresponding data is uploaded to an IoT platform called Ubidots for possible monitoring activity. An Android mobile application is designed for user to download real-time data of parking information. This paper introduces a low cost smart parking system with the overall detection accuracy of 96.40%. Also, the mobile application allows users to alert other car owners for any emergency incidents and double parking blockage. The developed system can provide a platform for users to search for empty car parking with ease and reduce the traffic issues such as illegal double parking especially in the urban area

Harnessing Intelligence in Implementing Smart Parking Systems Integrated with Interactive Guidance System in Distinctive Shindagha Historical Neighborhood to Enhance and Regulate Mass Experiences

Under the light of the importance of finding smart solutions for cities strategic issues and in conjunction with the broad race for urban development in order to provide the best living environment and the most appropriate tourist destination, Mobility Management occupies the first place among these issues. Due to the variation in the urban fabric of cities, especially the old historical neighborhoods that are unique in their nature, composition, and conditions for their preservation, challenges related to mobility management raised in these critical areas. Therefore, in this study, we present a smart suggestion to solve the problem of providing smart parking system in Shindagha Historical District in Dubai, that has recently been revived to be the largest open museum in world. This project includes the provision of a smart parking system, studied thoughtfully across the urban and logistical conditions, determinants of urban fabric with respecting the identity of this region, which is linked to a smart tourism guidance system based on a live data platform derived from the museums and facilities that exist in this neighborhood. Moreover, this project contains a smart proposal of current public parking, in order to provide smooth and fast parking in areas with reducing the needed time to find a parking. The proposed solution will be a source of income for the city in the parking management sector. The objectives of the proposed study revolve around shortening the time spent to find a parking in the crowded areas, limiting traffic congestion, planning dynamic path of vehicle movement, reducing unnecessary energy consumption, reducing environmental pollution and gases emissions, maximizing the exploitation of the resources and facilities available in it, and organizing the movement of masses under conditions maintaining security and safety, as proposed models have been suggested for the studied area, with consideration of suitability of the design to the main purpose of the solution, best methods of construction, logistical elements and special conditions. Data have been drawn from the relevant official authorities in Dubai and according to a work methodology based on algorithms of possible occurrences, estimated queue lengths in transport impact analysis and SWOT analysis, in order to evaluate the effectiveness of those proposed smart solutions to lead to the best, smartest and most sustainable model for managing parking lots and masses congestions in such distinctive neighborhoods

Proof of Presence: Novel Vehicle Detection System

The detection of vehicle presence in parking slots is a fundamental part of smart parking systems. The problem is commonly approached with devices composed of specific sensors, which usually are either magnetic or infrared. The sensor is continuously sampled by an onboard microcontroller capable of determining the slot status (available or occupied) and sending the information to a central collection and gathering system by means of a wireless technology. Nevertheless, cost and power consumption are still an issue. Based on the consideration that the vehicle slot status is only a single bit of information, in this article an alternative low-power and cost-effective approach is proposed. Specifically, two novel vehicle presence detectors, one battery-powered and based on 868 MHz LoRa technology and one solar-cell-powered and adopting BAP 866 MHz UHF RFID technology, are presented, designed, realized, and tested. The obtained results demonstrate the appropriateness of the proposed approach since the same functionalities of conventional devices at lower cost and lower consumption are reached

Use of Structural Equation Modelling and Neural Network to Analyse Shared Parking Choice Behaviour

The shared parking mode represents a feasible solution to the persistent problem of parking scarcity in urban areas. This paper aims to examine the shared parking choice behaviours using a combination of structural equation modelling (SEM) and neural network, taking into account both the parking location characteristics and the travellers’ characteristics. Data were collected from a commercial district in Nanjing, China, through an online questionnaire survey covering 11 factors affecting shared parking choice. The method involved two steps: firstly, SEM was applied to examine the influence of these factors on shared parking choice. Following this, the seven factors with the strongest correlation to shared parking choice were used to train a neural network model for shared parking prediction. This SEM-informed model was found to outperform a neural network model trained on all eleven factors across precision, recall, accuracy, F1 and AUC metrics. The research concluded that the selected factors significantly influence shared parking choice, reinforcing the hypothesis regarding the importance of parking location and traveller characteristics. These findings provide valuable insights to support the effective implementation and promotion of shared parking