scholarly journals Smart Toll Payment System Using Android Applications

Author(s):  
Mr Srisailanath ◽  
JhansiRani P ◽  
B S Ramya Reddy ◽  
Anitha B L ◽  
Laxmi Swetha Yerramsetty

Today, due the increase in the vehicles, there is a lot of gathering of the traffic at the booths. The main reason for this traffic at the tollbooths is due the manual working of the toll tax collection the booths. Each vehicle on average need to stop at the booth for about a 2 minutes for the payment of the toll taxs. In order to decrease this traffic and time consistency we are coming up with an nobel idea based on Android app communication. In this application we will have three modules Admin, Tollgate, and Client. In which admin will verify the tollgater with his/her detail, clients get registered in this app and pay his /her tollgate payments which decreases the manual work and hence increases the vehicle speed passing by the toll booth. Also it allows the vehicles just to pass through the booth by just showing the QR code. This result reducing the traffic pattern at the toll collecting booths.

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 122362-122372 ◽  
Author(s):  
Yukun Zhou ◽  
Baidong Hu ◽  
Yitao Zhang ◽  
Weiming Cai

2019 ◽  
Vol 16 (8) ◽  
pp. 3316-3318 ◽  
Author(s):  
S. Dhamodaran ◽  
Md. Afridi ◽  
M. Rahul ◽  
J. Refonaa ◽  
K. Ashok Kumar

Predominantly all the customers are smartphone users and they want shopping to be easier and seamless. However, the retail store experiences in India does not tap into the mobile channel of interaction when the customer is in the shop. The implementation is that make the shopping easier. Developing the application in the Android platform. In this application, we can make easy checkout and pay the shopping bills in any wallets (Dhamodarn, S., et al., 2016. Identification of User Poi in Spatial Data Using Android Application. International Conference on Computation of Power, Energy Information and Communication (ICCPEIC). IEEE. ISBN: 978-1-5090-0901-5). And capturing the customer behavior in the store. The user will add the Product and corresponding ID and its Cost is added in the Android App and finally, total Payment is made by the user via an android based Payment system. Details are transferred to the shop server. If the customer makes any mistake during the billing of products. The alarm will be raised in the trolley and in the bill counter.


2017 ◽  
Vol 2017 (10) ◽  
pp. 36-44
Author(s):  
Rafał Kowalik ◽  
Emil Sadowski

The article presents the results of simulations carried out for the developments on the railway junction in the instantaneous passage of a railway vehicle. The main focus lies on getting runs all three forces present in the area of the point of contact wheel-rail. Tests carried out for different vehicle speed rail-track. In addition, also presented mathematical models describing the motion of the train to pass through the railway track and discusses the mathematical considerations describing the deflection of the beam under the influence of rolling wheels on it. At the end shows the conclusions of the simulations.


2020 ◽  
Vol 1 (2) ◽  
pp. 1-15
Author(s):  
Hassan Ahmad ◽  
Shahid Asghar

Consumers tend to find ways that are beneficial and useful for them during a shopping experience. They use different methods, either online or offline, for a more considerable retail experience. Thus, the use of a particular technology when it accessible, useful, beneficial, and innovative may help them progress a certain attitude. The practice of the theory of acceptance model(TAM) proved to be right in this context of embracing of QR code transaction method. This kind of payment system is still relatively new in the Pakistani environment, but this, with the current research framework, it shows that consumers are willing to adopt it. Thus, CINN, PBN, PEU, PUF, and attitude proved to be suitable variables for the adoption of this technology


2019 ◽  
Author(s):  
Eman K. Elsayed ◽  
Kamal A. ElDahshan ◽  
Enas E. El-Sharawy ◽  
Naglaa E. Ghannam

Background: Portable applications (Android applications) are becoming increasingly complicated by mind-boggling programming frameworks. Applications must be produced rapidly and advance persistently in order to fit new client requirements and execution settings. However, catering to these imperatives may bring about poor outline decisions on design choices, known as anti-patterns, which may possibly corrupt programming quality and execution. Thus, the automatic detection of anti-patterns is a vital process that facilitates both maintenance and evolution tasks. Additionally, it guides developers to refactor their applications and consequently enhance their quality. Methods: We propose a reverse-engineering approach to analyze Android applications and detect the anti-patterns from mobile apps. We validate the effectiveness of our approach on a set of popular mobile apps such as YouTube, Whats App, Play Store and Twitter. The result of our approach produced an Android app with fewer anti-patterns, leading the way for perfect long-time apps and ensuring that these applications are purely valid. Results: The proposed method is a general detection method. It detected a set of semantic and structural design anti-patterns which have appeared 1262 times in mobile apps. The results showed that there was a correlation between the anti-patterns detected by an ontology editor and OntoUML editor. The results also showed that using ontology increases the detection percentage approximately 11.3%, guarantees consistency and decreases accuracy of anti-patterns in the new ontology.


2012 ◽  
Vol 479-481 ◽  
pp. 1660-1664
Author(s):  
Yu Zhuo Men ◽  
Hai Bo Yu ◽  
Hua Wang ◽  
Liang Xu

Mountain highways are traffic accident-prone locations. Such factors as vehicle speed and trajectory hold a considerable proportion in the accidents. Highway line features is the basis to determine vehicle speed. In this paper, the running speed of vehicles on mountain highways is taken as the main object of study and the observation and survey data on vehicles deceleration behaviors before they enter a curve on the curved sections of mountain highways are taken as the reference object to establish the drivers driving speed control model on the horizontal curve sections of mountain highways, and an example is used to conduct comparative validation on the driving deceleration model. Calculation results show that the deceleration control model established in this paper is feasible and effective, can better simulate vehicles deceleration behaviors when they pass through speed limit signs or the sections with road surface deceleration signs and provides a new theoretical method and guiding basis for the line features design, traffic safety analysis and evaluation and traffic safety improvements of mountain highways.


2017 ◽  
Author(s):  
Lusi Dwi Putri ◽  
Fitridawati Soehardi ◽  
Alfian Saleh

Status : PreprintSchool Safety Zone is a location or region on particular roads that are time-based speed zone to set the speed ofthe vehicle in the school environment. The maximum speed limit permits entering a School Safety Zone, especially in Pekanbaru City is 25 km / h and an outline of the speed limit permit vehicles that pass through the School Safety Zone in Indonesia is generally 20-30 km / h. However, the vehicles speeds that pass School Safety Zone are higher than permit speeds.To ensure the level of vehicle offense across the territory of the School Safety Zone so it is necessary a primary data which is taken randomly based on field survey for 3 days at schools that has that facility SDN 3 Jalan Kesehatan Pekanbaru City, SDN 68 Jalan Balam Ujung Kota Pekanbaru and SDN 143 Jalan Taskurun Kota Pekanbaru. Furthermore, the data were taken in good condition that is at 6:30 to 7:30 am and at 12:00 to 13:00 pm. In addition, the data obtained ismileage and travel time of the vehicle. Both of these data can generate good speed value that passes through the area of School Safety Zone. Based on the research findings, the vehicle speed passing through the area of School Safety Zone is incompatible with speed permit at 35 km / h. This indicates that the vehicle passes School Safety Zone not following the rules of the maximum limit area and can be potentially harmful to elementary school students.


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