Launching automated rotary parking system: Towards traffic congestion free Dhaka city

The swiftly growing urban population of Nigeria is generating lots of tension in the cities in line with the rapid increase of vehicles. This is due to hitherto reliance on the present parking system which has no standard to check for parking spaces, hence generating problems such as traffic congestion, time wastage in search of parking slot, fuel consumption/CO emission, insecurity of vehicles etc. This work presents a quantitative statistical survey analysis conducted in selected metropolitan cities in Port Harcourt, Nigeria. The aim is to create awareness on Smart Car Parking System (SCPS) for heterogeneous clustered environments. The results of the conducted analysis showed that the awareness of this innovative technology is still at its tender stage in Nigeria. Findings shows that people are willing to adopt this new technology to assist in overcoming the challenges faced in the present parking system that is unstructured. A brief description of proposed SCPS based on Big data hardware is presented.

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IDENTIFYING KEY FACTORS OF COMMUTER TRAIN SERVICE QUALITY:AN EMPIRICAL ANALYSIS FOR DHAKA CITY

Malaysian Journal of Civil Engineering ◽

10.11113/mjce.v31n2.568 ◽

2019 ◽

Vol 31 (2) ◽

Author(s):

Anika Nowshin Mowrin ◽

Md. Hadiuzzaman ◽

Saurav Barua ◽

Md. Mizanur Rahman

Keyword(s):

Traffic Congestion ◽

Fuzzy Inference ◽

Confusion Matrix ◽

Model Development ◽

Model Performance ◽

Total Sample ◽

Dhaka City ◽

Anfis Model ◽

Regular User ◽

Inference System

Commuter train is a viable alternative to road transport to ease the traffic congestion which requires appropriate planning by concerned authorities. The research is aimed to assess passengers’ perception about commuter train service running in areas near Dhaka city. An Adaptive Neuro Fuzzy Inference System (ANFIS) model has been developed to evaluate service quality (SQ) of commuter train. Field survey data has been conducted among 802 respondents who were the regular user of commuter train and 12 attributes have been selected for model development. ANFIS was developed by the training and then tested by 80% and 20% of the total sample respectively. After that, model performance has been evaluated by (i) Confusion Matrix (ii) Root Mean Square Error (RMSE) and attributes are ranked based on their relative importance. The proposed ANFIS model has 61.50% accuracy in training and 47.80% accuracy in testing. From the results, it is found that 'Bogie condition', 'Cleanliness', ‘Female harassment’, 'Behavior of staff' and 'Toilet facility' are the most significant attributes. This indicates that some necessary measures should be taken immediately to recover the effects of these attributes to improve the SQ of commuter train.

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Smart Parking System to Reduce Traffic Congestion

2018 International Conference on Smart City and Emerging Technology (ICSCET) ◽

10.1109/icscet.2018.8537367 ◽

2018 ◽

Cited By ~ 3

Author(s):

Sanam Kazi ◽

Shirgaonkar Nuzhat ◽

Ansari Nashrah ◽

Qureshi Rameeza

Keyword(s):

Traffic Congestion ◽

Parking System ◽

Smart Parking

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INFLUENCE OF BUS BAY AND CURBSIDE BUS STOP IN AN URBAN ROAD

International Journal of Students Research in Technology & Management ◽

10.18510/ijsrtm.2020.833 ◽

2020 ◽

Vol 8 (3) ◽

pp. 14-19

Author(s):

Saurav Barua

Keyword(s):

Traffic Congestion ◽

Simulation Models ◽

Good Alternative ◽

Road Segment ◽

Dhaka City ◽

Average Speed ◽

Urban Road ◽

Traffic Conditions ◽

Bus Stop ◽

Bus Stops

Purpose of Study: The purpose of this study is to investigate the efficiency of bus bay compare to the curbside bus stop in a midblock road segment of Dhaka city. Methodology: Vehicle composition and traffic volume were counted on-peak hours for the midblock of Azimpur road near the existing bus stop. Simulation models were developed in VISSIM, where Model 1 represented the existing road scenario with curbside bus stop, and Model 2 represented the same road segment with a bus bay. Main findings: The simulation result showed that Model 2 outperformed Model 1 due to the presence of bus bay. Comparing Model 1, travel time and delay reduced by varying 1.80% to 12.5% and 6.25% to 100% respectively in Model 2 during the simulation. Similarly, average speed increased by 1.39% and density decreased by 61.29% in model 2. Application of this study: Curbside bus stops result in abrupt halt, disrupt traffic flow, and queuing of the small-sized vehicle behind buses. These bus stops caused traffic congestion and delays in urban roads which can be alleviated by alternatives, such as, bus bay. The novelty of this study: The bus bay is a good alternative to the curbside bus stop, which can improve existing traffic conditions in urban roads.

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Cloud Based Smart Parking System

Journal of Computational and Theoretical Nanoscience ◽

10.1166/jctn.2020.8404 ◽

2020 ◽

Vol 17 (4) ◽

pp. 1578-1583

Author(s):

V. Sathya ◽

Bheemanadham ◽

Surya Sai ◽

Arpit Tharad ◽

Ayush Kumar ◽

...

Keyword(s):

Urban Communities ◽

Traffic Congestion ◽

Network Architecture ◽

Performance Metrics ◽

Parking Space ◽

Parking Spot ◽

Parking System ◽

Car Park ◽

Smart Parking ◽

Internet Of Things Technology

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.

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Smart Parking System Using Color QR Code

International Journal of Computer Communication and Informatics ◽

10.34256/ijcci1917 ◽

2019 ◽

Vol 1 (1) ◽

pp. 39-45

Author(s):

Sarat Kumar Sahoo ◽

Rashmita Khilar ◽

Samiksha Nayak ◽

Mary Rexcy Asha ◽

Ann Jerin Amalorpavaraj

Keyword(s):

Image Segmentation ◽

Data Base ◽

Traffic Congestion ◽

New Method ◽

Identification System ◽

Qr Code ◽

Alarm System ◽

Parking System ◽

Smart Parking

In today’s world, parking area constitutes nearly most of traffic congestion is caused by vehicles cruising around their destination and looking for a place to park. Due to this reason many day-to-day activities are affected such as waste of time, fuel wastage, frustration to drivers, theft fear, pollution etc. These factors motivated to pave a new method for smart parking system. In this method the detection is reliable, even when tests are performed using images captured from a different viewpoint. It also provides to design a highly reliable & compatible image segmentation measures for parking slot identification system and a user key driven data base measures to detect the vehicle using theft alarm system.

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INTELLIGENT CAR PARKING SYSTEM

International Journal of Computer Science and Informatics ◽

10.47893/ijcsi.2014.1157 ◽

2014 ◽

pp. 261-267

Author(s):

S. AVINASH ◽

SNEHA MITTRA ◽

SUDIPTA NAYAN GOGOI ◽

C. SURESH

Keyword(s):

Traffic Congestion ◽

Road Traffic ◽

Empty Space ◽

The West ◽

The Road ◽

Design And Implementation ◽

Dc Motors ◽

Parking System ◽

Machine Interface ◽

On The Road

Due to the proliferation in the number of vehicles on the road, traffic problems are bound to exist. This is due to the fact that the current transportation infrastructure and car parking facility developed are unable to cope with the influx of vehicles on the road. In India, the situation are made worse by the fact that the roads are significantly narrower compared to the west. Therefore problems such as traffic congestion and insufficient parking space inevitably crops up. In his paper we describe an Intelligent Car Parking System, which identifies the available spaces for parking using sensors, parks the cars in an identified empty space and gets the car back from its parked space without the help of any human personnel. A Human Machine Interface (HMI) helps in entering a unique identification number while entry of any car which helps in searching for the space where the car is parked while exit. An Indraconrol L10 PLC controls the actions of the parking system. The PLC is used to sequence the placing and fetching of the car via DC motors. We have implemented a prototype of the system. The system evaluation demonstrates the effectiveness of our design and implementation of car parking system.

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Real-time Location Based Shared Smart Parking System

E3S Web of Conferences ◽

10.1051/e3sconf/202017003003 ◽

2020 ◽

Vol 170 ◽

pp. 03003

Author(s):

Pragati Kanchan ◽

Chhaya Mhaske ◽

Reena Pagare ◽

NikhilKumar B. Shardoor

Keyword(s):

Traffic Congestion ◽

Qr Code ◽

Rfid Technology ◽

Carbon Footprints ◽

The Public ◽

Ir Sensors ◽

Parking System ◽

Private And Public ◽

Smart Parking ◽

Per Capita

With the growth in population, traffic congestion and parking have become a serious problem. There is the explosive growth of the per capita amount of vehicles. In this paper, a Location-Based Shared Smart Parking System is proposed to solve the parking problem. This system is designed for both private and public parking areas. This system helps the user to find the nearest possible parking area and gives the information related to the availability of parking slots in that respective parking area. The main focus of this system is to reduce the time for finding the parking slot and also avoids unnecessary travelling through occupied parking slots in a parking area. The proposed system is designed using IoT technology, WSN(IR sensors), QR code and RFID technology. IR sensors are used to detect the presence of the car in the parking slot and QR code is used to authenticate the user in the public parking area, RFID technology is used to authenticate the user in private parking area. The system is expected to reduce traffic problems, fuel consumption which results in reduces carbon footprints in an atmosphere.

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