scholarly journals Parking Provision for CBD Area of Pabna Town in Bangladesh

2017 ◽  
Vol 2 (9) ◽  
pp. 27 ◽  
Author(s):  
Atikur Rahman ◽  
Jakirul Islam Jony Prothan ◽  
Marazul Islam ◽  
Ashrafuzzaman Pramanik

Pabna is the most ancient city of Bangladesh having a parking problem in CBD area. This study is mainly focused on the demand and supply of parking system in CBD area. The deficiency of parking supply and illegal occupancy of the traffic lane with parking has become a common practice. An existing parking accommodation, parking demand, parking turnover, average parking duration, parking types and parking index are analyzed on the base of modified patrol survey. The parking space inventory survey helps to identify the present parking spaces, number of parking bays, vacant land for the multistoried parking facility. Both on-street and off-street parking have surveyed to find out the actual measurement of the demand and supply of parking. It should be mentioned that the feasibility of a multistoried parking facility is also proposed to shift the existing on-street parking of CBD.

2019 ◽  
Vol 7 (1) ◽  
pp. 27-32
Author(s):  
Baraa I AL-Rikabi

Due to the rapidly increasing density of vehicles, especially during rush hours of the day, it is a difficult task for drivers (students and teachers) to find a parking space to park their vehicles. This article proposes a Smart Parking system that provides the best possible solution to the parking problem in the University. The purpose of the Smart Parking system is to solve the predefined problem. This system uses a simple microcontroller and an inexpensive sensors that is used to control and allow the user to either enter the park or not, depending on the available parking spaces. Thus, the user is not made to wait unnecessarily. The technology used in this system helps to reduce the cost and human effort.


2019 ◽  
Vol 8 (2S11) ◽  
pp. 3531-3534

In this busy world, people are tending towards automation in all routine works which in turn is saving their time. Due to the increased use of cars and congesting places, everywhere we are facing a queue to pass through. One such queue we face is in the parallel parking lots. For solving this problem, many automobile manufacturers have come up with Auto Parking Features in New Model Cars. Then what about Old Cars? Shouldn’t those Old Cars get modified with this Auto Parking facility? Yes, they can get modified with our proposed solution. In this paper, we are presenting a solution in the form of a module for the parallel parking problem called “Automatic Parallel Car Parking System – using Sensors and Arduino UNO”. Along with New Cars, this module can also be integrated with Old Electric Cars to bring Auto Parallel Park feature. This paper also discusses existing Auto Parallel Parking Systems. It also discusses the proposed solution by solving the flaws in existing solutions. The proposed solution is easily adaptable, with small modifications to an electric car. Future enhancements are also proposed.


2019 ◽  
Vol 8 (2S11) ◽  
pp. 2793-2798 ◽  

Nowadays, smart parking guidance system is a crucial research for people’s convenience where the integrating concept of IoT that include hardware and software with the connection of internet for image or video processing technology is a powerful application which made up a complete smart parking system. The main objective of this research is to develop and analyze on a smart parking guidance system where current available system was compared to this new proposed system. Limited parking space has become serious issue since the number of Malaysia’s populations are using car keep increasing. Some of the big companies, shopping malls and other public facilities already deployed a smart parking system on their building. However, there are still a lot of buildings that do not own it because the system required a lot of investment, where the huge parking areas need higher cost to install sensors on each parking lot available and cameras are costly and lower in reliability. The proposed smart parking guidance system in this research was depending on a 360° camera that was modified on Raspberry Pi camera module and 360o lens that process with De-Warping techniques for the normal view rather than 360-degree view and Haar-Cascade classifier. The image and video processing was done by Open CV and python program to detect the available parking space and cloud firebase was used to update data where users can access the parking space availability by android mobile phone specifically at a closed parking space. A single 360°camera was replaced several sensors and cameras which were implemented on traditional parking guidance system. In the end of the paper, it is proved that prototype based smart parking is the convenient way to find the parking space availability.


2021 ◽  
Vol 55 (5) ◽  
pp. 1046-1069
Author(s):  
Nir Fulman ◽  
Itzhak Benenson

We propose an approximation method for estimating the probability [Formula: see text] of searching for on-street parking longer than time [Formula: see text] from the start of a parking search near a given destination [Formula: see text] based on high-resolution maps of parking demand and supply in a city. We verify the method by comparing its outcomes to the estimates obtained with an agent-based simulation model of on-street parking search. As a practical example, we construct maps of cruising time for the Israeli city of Bat Yam and demonstrate that, despite the low overall demand-to-supply ratio of 0.65, excessive demand in the city center results in a significant share of parking searches that last longer than 5 or even 10 minutes. We discuss the application of the proposed approach for urban planning.


Sensors ◽  
2020 ◽  
Vol 20 (5) ◽  
pp. 1476 ◽  
Author(s):  
Luis F. Luque-Vega ◽  
David A. Michel-Torres ◽  
Emmanuel Lopez-Neri ◽  
Miriam A. Carlos-Mancilla ◽  
Luis E. González-Jiménez

Humanity is currently experiencing one of the short periods of transition thanks to novel sensing solutions for smart cities that bring the future to today. Overpopulation of cities demands the development of solid strategic plannings that uses infrastructure, innovation, and technology to adapt to rapid changes. To improve mobility in cities with a larger and larger vehicle fleet, a novel sensing solution that is the cornerstone of a smart parking system, the smart vehicular presence sensor (SPIN-V, in its Spanish abbreviation), is presented. The SPIN-V is composed of a small single-board computer, distance sensor, camera, LED indicator, buzzer, and battery and devoted to obtain the status of a parking space. This smart mobility project involves three main elements, namely the SPIN-V, a mobile application, and a monitoring center, working together to monitor, control, process, and display the parking space information in real-time to the drivers. In addition, the design and implementation of the three elements of the complete architecture are presented.


Smart Cities ◽  
2020 ◽  
Vol 3 (2) ◽  
pp. 172-185
Author(s):  
Adib Haydar

Beirut is a car-dependent city, with 80% of Beirut citizens using their private cars to move across the city (the rate of car ownership is higher than regional and global benchmarks: 627 cars/1000 in Beirut, 550/1000 in Dubai and 170/1000 in Singapore). This reality causes two related impacts: an increased parking demand and decreased public transportation usage. Furthermore, in order to discuss these aspects, our study addresses the following question: How can the municipality’s interventions and mobility system reforms, such as smart public transportation systems and shareable mobility, reduce parking demand? As our methodology, it consists of three sections: (1) determine Beirut's parking problems by estimating parking demand and supply; (2) assess the potential effects of Beirut municipality policies in comparison to international experiences; and (3) evaluate the potential impacts of the smart public transportation system and shareable mobility in reducing parking demand. This paper studies parking growth in developing countries, such as Lebanon, and can help planners, decision-makers, and the Beirut municipality to make more informed decisions about parking policies, and to meet growing parking demand by introducing smart interventions that have high local potentials.


2020 ◽  
Vol 17 (4) ◽  
pp. 1578-1583
Author(s):  
V. Sathya ◽  
Bheemanadham ◽  
Surya Sai ◽  
Arpit Tharad ◽  
Ayush Kumar ◽  
...  

Lately, the idea of brilliant urban communities has increased awesome notoriety. Parking becomes one of the tedious tasks in our day to day life. Many efforts have been done in this field to solve parking based problems like traffic congestion, limited parking space, high parking charges, and the most basic problem is to find nearby parking space. In this paper, we proposed an algorithm that increases the efficiency of the current cloud-based smart parking system and develops a network architecture based on Internet-Of-Things technology. Our proposed system helps users automatically find a free parking space at the least cost based on new performance metrics to calculate the user parking cost by considering the distance from the user to parking area and the total number of free places in each car park. A mobile application is provided that navigate the user to the free parking space based on the efficiency based on distance and cost. This cost will be utilized to offer an answer of finding an accessible parking spot upon a demand by the client and an answer of proposing another car park if the present park is full.


2015 ◽  
Vol 734 ◽  
pp. 435-439
Author(s):  
Qing Gang Wang

This paper investigated Dynamic Parking Space Allocation Model (DPSAM), which is one of functional modules of On-line Parking Space Reservation System (OPSRS). In the model, the parking spaces were regarded as a two-dimensional parking resource pool of temporal and spatial components. An integer programming formulation was presented with the objective function of minimizing the discontinuous parking resources. The experiment was executed to compare the allocation solutions of optimization model and random allocation with the indicators of parking resource vacancy rate, parking resource sunk rate and parking demand satisfaction rate. The result shows that optimization model can improve the utilization efficiency of parking lot and is valuable for the application of OPSRS.


2012 ◽  
Vol 195-196 ◽  
pp. 889-894 ◽  
Author(s):  
Mei Yan Zhang ◽  
Li Ping Zhou ◽  
Wen Yu Cai

In China, finding a vacant parking space in a congested area or a large parking lot is always time consuming and frustrating. To minimize hassle and inconvenience to the automatic drivers, this paper proposed a novel smart parking system which consists of many parking sensor nodes and one parking gateway in one large parking lot. Parking sensor node is used as vehicle occupancy detector and parking gateway is used as parking lot manager. All parking sensor nodes compose wireless sensor networks with Zigbee transmission protocol. With the GPRS/3G transmission function of parking gateway, large parking lot can provide friendly parking information to the running vehicles and subscribed users. In a word, the proposed novel smart parking system is provided with innovative and practicability.


Nowadays, smart parking guidance system is a crucial research for people’s convenience. The main objective of this research is to develop and analyze on a smart parking guidance system where current available system was compared to this new proposed system. Limited parking space has become serious issue since the number of Malaysia’s populations who are using car keep increasing. Some of the big companies, shopping malls and other public facilities already deployed a smart parking system on their building. However, there are still a lot of buildings that do not own it because the system required a lot of investment, where the huge parking areas need higher cost to install sensors on each parking lot available. The proposed smart parking guidance system in this research was depending on a 360° camera that was modified on raspberry pi camera module and 360o lens and Haar-Cascade classifier. The image and video processing was by Open CV and python program to detect the available parking space and cloud firebase was used to update data where users can access the parking space availability by android mobile phone specifically at a closed parking space. A single 360°camera was replaced several sensors and camera which was implemented on traditional smart parking system. An analysis was done on the performance of the system where it can detect the parking availability with 99.74% accuracy and which is far better than conventional system including reliability and cost for the parking space guidance system.


Sign in / Sign up

Export Citation Format

Share Document