Smart Detection of Parking Rates and Determining the Occupancy

Javale, Deepali; Pahade, Aatish; Singal, Rushikesh; Potdar, Akshay; Patil, Mohit

doi:10.1007/978-981-15-0790-8_37

Cited by 5 publications

(3 citation statements)

References 7 publications

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“…When there are intruders or fire throw the security zone the camera takes a snapshot and sends it to throw the network via systems such as the internet, and email as an attachment to the owner. A webcam is generally built into computer hardware or connected by a USB cable [20].…”

Section: Webcammentioning

confidence: 99%

Design and implement a smart system to detect intruders and firing using IOT

Kadhim,

MohammedAmeen

2020

IJECE

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The security system is essential for occupants' convenience and protection from intruders and fire. Theft and fire are the most important requirement for the security system. The advancement of wireless sensor networks using IOTs increased the features in a security system and play an important role in daily life. In this paper, the proposed system is divided into two units. The first one about security which use to take snapshots by a camera whenever there is fire or intruders in the security zone and mail it to the owner every three seconds by using Arduino configured with MATLAB program. MATLAB program plays the main role to coordinate between sensors and to turn on/off the cameras. The second unit is about controlling the appliances and also the main door by using AVR microcontroller configured by CVAVR software that connected with Bluetooth sensor and controlled by a smartphone by using the implementation software built-up in the smartphone. To arrival of the control unit, the user should send code from the software implementation to the framework that use to turn on /off the devices or open/close the door. This proposed system is designed and implemented in details in this paper.

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Section: Webcammentioning

confidence: 99%

Design and implement a smart system to detect intruders and firing using IOT

Kadhim,

MohammedAmeen

2020

IJECE

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“…Tamrazian et al (2015) proposed efficient learning algorithms to predict parking occupancy rates using historical and real-time data. Javale et al (2019) developed a smart parking pricing algorithm using electronic IoT-based sensors to determine the optimal parking fee depending on various factors including the current occupancy rate, the time of day and the parking space locations Preprints (www.preprints.org) | NOT PEER-REVIEWED | Posted: 18 June 2020 doi:10.20944/preprints202006.0227.v1 within the network. This agent-based methodology can also be used to predict the future occupancy rate in the area.…”

Section: Introductionmentioning

confidence: 99%

Optimal Parking Occupancy with and without Differentiated Parking: A Macroscopic Analysis

Jakob¹,

Menéndez²

2020

Preprint

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A very high parking occupancy can negatively influence the traffic performance of an area by causing very long cruising times. A very low parking occupancy, on the other hand, is inefficient from a space utilization perspective. Thus, this paper proposes a framework to compute the optimal parking occupancy rate over a given time horizon based on a macroscopic traffic and parking model. This rate is set high enough to ensure an efficient usage of the parking infrastructure. However, it should also guarantee a high likelihood of finding parking in order to eliminate the drivers’ time wasted in cruising for parking and the added congestion it causes. The model outputs are based on small data collection efforts and low computational costs, and they can be generated without complex simulation software using a simple numerical solver. Multiple vehicle types are included into our methodology allowing us to generate insights about the optimal parking occupancy with or without differentiated parking (i.e., parking for specific vehicles, such as fuel and electric vehicles). In times of a modal shift towards electric vehicles, cities can use our model to evaluate how much parking supply (with battery charging opportunities) they would like to dedicate to electric vehicles in order to achieve optimal traffic and parking results, and whether a differentiated or semi-differentiated parking policy is desirable. We illustrate our framework in a case study of a central area within the city of Zurich, Switzerland, showing the traffic and parking impacts (e.g., average searching time for parking, total revenue created by parking fees, optimal parking occupancy rate) for different proportions of fuel and electric vehicles in the parking demand and/or supply. Our results confirm that optimal occupancy rates are between and for most realistic scenarios. We then discuss how these rates might change depending on various demand and supply relationships, and according to different parking policies. We show that equal proportions between electric vehicles in the demand and their parking spaces in the supply lead to the best traffic performance in the area. We also provide the tools for cities to analyze their loss in performance if they do not react, e.g., to an increasing demand for electric vehicles over time. Moreover, we illustrate how some of these risks can be mitigated by having more flexible parking policies, e.g., allowing electric vehicles to use parking spaces for fuel vehicles.

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“…One of the fields that needs to be investigated in terms of WSN and IoT is the parking areas located in numerous facilities [9][10][11][12][13]. This is due to the challenging task of managing occupied and non-occupied parking lots where driver can waste long time for finding an available parking especially during the congestion times [14][15][16][17][18]. Several research studies have addressed the domain of smart car parking for example, Swatha and Pooja [19] proposed a smart car parking system using Bluetooth-based transmission and Global Position System (GPS).…”

Section: Introductionmentioning

confidence: 99%

Design and implement WSN/IoT smart parking management system using microcontroller

Hamzah

2020

IJECE

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With the dramatic expansion of new networks such as Wireless Sensor Network (WSN) and Internet-of-Things (IoT), tremendous opportunities have been emerged to incorporate such technologies for valuable tasks. One of these tasks is the smart car parking where there is an imperative demand to manage the parkings in various facilities which may help drivers to save their time. Several research studies have addressed this task using wide range of approaches. However, the energy consumption is still a serious concern. This paper proposes a smart car parking based on cloud-based approach along with variety of sensors. Passive Infrared Sensors (PIRs) have been used to sense the object motion. While Light Dependent Resistor (LDR) sensors have been utilized to sense the light of the parking alarm and display inmformation regarding the occupied and non-occupied parking lots. Finally, multi-micro controller of Arduino have been exploited in order to transmit the information collected to the server. Finally, a prototype Android application has been developed in order to recieve the infromation from the server. Results of simulation showed the efficacy of the proposed method.

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Smart Detection of Parking Rates and Determining the Occupancy

Cited by 5 publications

References 7 publications

Design and implement a smart system to detect intruders and firing using IOT

Design and implement a smart system to detect intruders and firing using IOT

Optimal Parking Occupancy with and without Differentiated Parking: A Macroscopic Analysis

Design and implement WSN/IoT smart parking management system using microcontroller

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