Number Of Tickets Research Articles

Drivers’ long-term crash risks associated with being ticketed for speeding

Introduction: This research analyzes the relationship between police-issued tickets for speeding and the crash risk of those drivers, in New Zealand, between 2015–2019. Method: The main data are constructed through data-matching license details of crash outcomes with all officer-issued tickets for speeding between 2015–2016 (N = 534,935). The sub-group of drivers that accumulate tickets is compared to a coarsened exact matched set of drivers of the same age. Results: There is a strong relationship between the number of tickets a person has in a two-year period (2015–16) and the likelihood of a crash outcome (2017–2019). However, the accumulation of tickets is not the best predictor of crash likelihood. A combination of the excess in speed and the accumulation of tickets increases the relative odds of a subsequent crash. These results are discussed considering the threshold at which New Zealand criminalizes alcohol-relating offending (notionally 4.2 times the base rate crash risk). The same rate of elevated crash risk exists when a driver has one ticket for being 10 km/h over the speed limit and has another speeding ticket within two years.

Resilience of Interurban Public Transport and Impact of COVID-19 on Rural Connectivity in Sparsely Populated Regions

The aim of this research consisted of assessing the effects of the COVID-19 pandemic on the interurban public transport system in a rural region with a sparse population density, considering the number of tickets sold and passengers in each locality, as well as the different connecting lines. From a methodological point of view and with the intention of identifying patterns to explain the behaviour of both the routes and passengers, a series of variables were selected, becoming determining factors that sought to offer a solution to the search for a common trend. Additionally, data processing by the means of statistical analysis and the application of Geographic Information Systems (GIS) tools complemented the procedure. The results obtained in the investigation were provided both by municipality and by interurban routes. An interesting finding of this research was the uneven recovery of the municipalities. The localities closest to the attractor nucleus have recovered more quickly to pre-pandemic mobility levels due to their geographical proximity, larger populations, higher incomes per household, and need to access certain public services. In terms of routes, all the lines showed significant decreases in ticket sales, although with variations. Although passenger numbers have shown a gradual recovery, the initial loss was considerable, and pre-pandemic normality has not been completely achieved. This research provides a comprehensive overview of the changes in interurban mobility over a four-year period. The incorporation of critical variables and the segmentation by municipality and route provide a way to identify discernible patterns of mobility. However, the lack of previous research focusing on the impact of the pandemic in rural areas of low population density restricts the possibility of establishing a comparison and to generalise the findings. The authors consider that future research should include other alternative means of transport in these interurban areas and incorporate variables to characterise passengers, such as age, gender, etc.

Applying constraint programming to minimal lottery designs

We develop and deploy a set of constraints for the purpose of calculating minimal sizes of lottery designs. Specifically, we find the minimum number of tickets of size six which are needed to match at least two balls on any draw of size six, whenever there are at most 70 balls.

Application of form honeypot based on CSS style in ticket booking system

Since various means of transportation and entertainment activities are restricted by objective conditions, the number of tickets is always limited, so ticket scalpers continue to be a companion product to this day. In the current Internet environment, the web application of the ticketing system faces challenges from ticket-grabbing robots controlled by ticket dealers. The current security procedures have significantly increased the workload and time consumption of effective users. The question now is whether ticket-grabbing bots can be stopped without increasing the workload of legitimate users and being as unnoticed by users as possible. In response to this problem, this article proposes a ticket booking system model integrated with a form-based honeypot, which can achieve the function of deceiving robots without being noticed by ordinary users. This model provides a feasible method for implementing network applications that are both secure and efficient, ensuring that users have a more seamless and protected experience.

Develop a recommender system based on a novel approach to the RFM customer segmentation model (A Case Study of GreenWeb Co.)

Along with the development of the digital economy, companies providing web hosting services and e-commerce infrastructure are increasing. Therefore, today, segmenting customers and recommending suitable products have become critical strategies for maintaining a competitive edge. With the rapid growth of online shopping, customers often make purchasing decisions based on their needs and desires. Salesforces can play a crucial role in influencing customers' decisions, so making a product recommendation system is essential. Such a system has various applications and can encourage customers to purchase additional products. In this study, we present a method for recommending products to customers that utilize the RFM (Recency, Frequency, Monetary) model to segment customers into eight classes and make interesting recommendations. To evaluate the performance of the proposed system, we conducted experiments using data collected from GreenWeb Co., This company mainly offers services such as Cloud Hosting, Web Applications, UI/UX Design, Mobile Applications, and online integrative services. The results show that after implementing the proposed recommender system, the average purchase amount of customers in 8 RFM label categories has increased by about 13.79%. At the same time, the number of tickets per customer has decreased by 9.68%, and as a result, the workload and cost of products have decreased., which represents loyal customers. Therefore, similar companies can use this solution to encourage customers to purchase higher-priced products to increase sales and customer satisfaction.

Changes to the Transport Behaviour of Inhabitants of a Large City Due the Pandemic

On 11 March 2020, the World Health Organisation (WHO) classified the COVID-19 outbreak as a global pandemic and, in consequence, many countries took steps to prevent the importation and subsequent local transmission of the SARS-CoV-2 virus, resulting in restrictions on economic activity, transport, travel, and daily mobility. Although the COVID-19 pandemic and its impact on daily mobility have been widely addressed in the literature, there is a limited number of studies that indicate to what extent these changes have become permanent. The purpose of this study was to determine the nature and scale of the impact of the COVID-19 pandemic on the local transport system of a large city in Poland (Łódź) and, above all, to identify the permanence of this impact. To accomplish these objectives, a questionnaire survey was conducted using the computer-assisted telephone interviewing (CATI) technique on a sample of 500 residents, which included questions on daily mobility in the period before (autumn 2019) and after (autumn 2022) the pandemic. In addition, the results of the questionnaire survey were juxtaposed with data from intelligent transport systems (ITS) (data from 20 induction loops, and data on the number of tickets validated in public transport vehicles). Not only did the pandemic change the frequency of spatial motivations, but it also affected trip durations and preferred modes of transport. The most unfavourable changes concern the modal division and the increase in the use of private transport at the expense of public transport. Understanding the durability of the impact of the pandemic on changes in the spatial mobility of the population may help to develop transport policies and increase the resilience of transport systems to possible future pandemics.

Analysis of Physical Tourism Tickets: Can Security Printing be Used?

Selling physical tickets at tourist destinations is often a problem in the world of tourism. The number of brokers and fake tickets is always the main problem. Physical tickets are very easy to counterfeit and very easy to distribute to irresponsible brokers. As a result, many tourists are deceived and often have to pay twice or even more just because they bought fake tickets. This research analyzes the problems caused by physical tickets and analyzes alternative security printing solutions that can be applied to ticketing systems using descriptive qualitative research methods. The results of this research are that ticketing using security printing will require greater costs and still pose a risk of ticket counterfeiting. Security printing might have benefits if it were given more value, such as embossing for braille letters aimed at blind tourists. However, for greater benefits, digital ticketing will have a smaller risk of counterfeiting and have greater profits.

Perancangan Aplikasi Pemesanan Tiket Wisata di Kecamatan Donorojo Menggunakan Metode Payment Gateway

Currently, the process of ordering tourist tickets is still done manually, especially in the Donorojo area, namely by visiting a travel agent or contacting the relevant party by telephone to order tickets. This process tends to take a long time, especially if users must queue to place an order. In addition, information regarding ticket prices and available schedules is not always easily accessible to users. The impact of this problem is confusion and errors in ordering tickets, as well as the buildup of queues at counters which causes congestion. To overcome this problem, we developed a tourist ticket booking application in Donorojo sub-district by implementing payment gateway methods including Flutter as a mobile application development framework and Firebase as a database management system that allows users to order tickets online, find out available tourist destination information and prices. and the schedule of tickets offered. The solution step taken is to collect and analyze data regarding popular tourist destinations, as well as implementing an online payment feature in the application. The interim results we have obtained are applications that are able to provide information about available tourist destinations, as well as provide convenience in the payment process and increase transaction security by using this payment gateway. Users can choose the desired destination, select the date and number of tickets needed, and make payment via the application. After payment is complete, the application will issue an electronic ticket which can be shown upon arrival at the tourist destination.

DAYA TARIK PENUMPANG TERHADAP TRANSPORTASI KERETA CEPAT WHOOSH

This study aims to measure and analyze the level of public attraction to the Whoosh Experience Program, as well as its impact on increasing awareness and interest in the presence of the Jakarta-Bandung High Speed Train service. Based on data on the number of tickets sold, it can be seen that the level of public attraction is always increasing. The survey results also show high public interest in the presence of this fast train. A smart marketing strategy is the key to KCIC's success in increasing public appeal to choose to use their services. A well-planned strategy, a way of communicating the product to the public that is considered attractive and the price policy decision set is well received among the public, especially users of public transportation services. This success is the basis for the Whoosh fast train to become one of the results of the development of technological projects from the public transportation sector in Indonesia and create an attraction that can be enjoyed by the entire community.

Unlocking Concert Experiences: Mobile Economy Maximiaztion Bundles Transforming Ticketing Dynamics

Mobile Economy Maximation Bundles are theoretical all-inclusive bundling packages, curated to out-of-town travelers coming into a specific municipal city for a live music event. The packages include hotel stays, base and premium food options and tickets to the event itself, dynamically priced based on forecasted demand by a demand rate . Bundles would open to public sale at a pre-destined time, but because hotels will be able to buy a select number of tickets ahead of time, they do not need to contend with the general sale, giving them a fixed number of tickets at MSRP prices which can be passed to the customer, and customers would gravitate to hotel providers offering this system over competitors who do not. The structuring of these entertainment bundles is an effort to improve the experience for traveling consumers but also a response to rising scalper prices of concert tickets where, in 2023, in-demand concerts such as the Taylor Swift Era’s Tour, scalper tickets were priced anywhere from 614.29% to 2665.1% higher than their original MSRP price, prompting a critical need to address the rising costs to consumers.

Using an Artificial Neural Network to Record and Analyse the Performance Indicators of a Transport Enterprise

Recently, the issue of determining actual values of passenger flow processed by urban public and suburban transport on each section of the route in real time has become even more relevant since those values affect planning, organisation of operations and performance of transport enterprises.It is not possible to assess the real volume of passenger flow with the number of tickets issued to passengers due to the large number of unaccounted passengers (the discrepancy between the number of tickets issued to passengers and the real number of passengers transported).The objective of the study which results are described in the article was to develop an intelligent system for calculating and analysing the transport enterprise performance, which allows automatically collecting, processing and analysing information about passenger flows, calculating the passenger rotation ratio on the route, drawing up optimal bus schedules and timetables, adjusting vehicle traffic intervals, determining the need for rolling stock to minimise the likelihood that a passenger is denied boarding, improving the quality of passenger service and reducing the operating costs of a transport enterprise.Real-time calculation of passenger flow values for each vehicle on the route of urban public transport is carried out by a quantitative method based on artificial neural network technology, which allows automatic processing of a large amount of information from CCTV cameras installed in vehicle interiors.The use of theoretical research methods helped to create an intelligent system capable to analyse and compare the number of tickets issued to passengers with the actual number of passengers transported on Samara city public transport route, the results were displayed through a graphical user interface. It was possible to reveal dependences of the number of unaccounted passengers on the route on the amount of passenger flow and the time of day.A possibility of using the proposed intelligent system in commuter trains was noted, provided that the cars are equipped with video surveillance cameras.

Bus Ticket Reservation And Seat Allocation System Using Blockchain Technology

The Bus Ticket Reservation System is an online platform that provides a user-friendly interface for booking and managing bus tickets. The system offers various features such as seat reservation, ticket booking, cancellations, and route inquiries. When all bus tickets are reserved, passengers receive a prompt to make a booking. When a admin accepts the passenger's request, the system automatically sends a notification through email and mobile number, informing the passenger that their request has been accepted. The passenger is then prompted to make the payment process to confirm the seat. Once the payment is completed, the ticket is confirmed, and the passenger is ready to embark on their journey. During boarding, passengers can choose luggage retrieval options: Ticket number input and image upload. For lost luggage, use the complaint section with a boarding day image. You can visualize historical passenger travel data using a bar chart to compare online and offline ticket bookings, while also showing the total number of passengers, total seats, and unbooked tickets.

Airline Reservation and Flyer Management System

Airline reservation and flyer management system is a web-based application designed for a specific airline company. It provides a platform for frequent fliers to register and manage their flights, including the utilization of miles earned through the airline's frequent flyer program. The application allows frequent fliers to log in and input all the necessary details related to their travel within the airline company. The airline offers a range of domestic services to various locations, and users can easily search for available flights and book seats on their preferred flights. The payment for the bookings can be conveniently made online. Upon successful payment, users receive a ticket with a unique ticket number and comprehensive travel details. It is important to note that the airline company exclusively offers booking and ticketing services to individuals who have registered with their frequent flyer program. In case of any changes or cancellations, the system provides a ticket cancellation feature. Users can cancel their booked tickets, and this functionality also extends to travelers who are associated with a registered user. This ensures flexibility and convenience for all parties involved. Overall, the Magical travels streamlines the flight booking and management process for frequent fliers, while offering a secure and user-friendly interface for accessing and utilizing the airline's services.The website may utilize various technologies and frameworks, such as React, HTML, CSS, JavaScript, and server-side languages, to create a seamless and engaging user experience.

Adequacy of the Gravity Model of Railway Passenger Flows

The most accurate modelling of spatial distribution of passenger flows is a prerequisite for successful planning of development of the transport system. It is the basis for calculation of a predictive trip matrix. An approach based on the gravity model is among main modelling methods.The work investigates the issue of the adequacy of the gravity model with a double constraint and an exponential-power function of gravitation. It is this specification of the model and its particular cases with exponential and power functions of gravitation that are most often used to estimate spatial distribution of passenger flows both in theoretical and applied research.Calibration and validation of the specified model is shown on the observed (actual) matrix of railway passenger origin­destination matrix. It was built with the help of the data of Express [railway ticketing] ADB ACS: the number of tickets sold for long-distance trains for all the pairs of directly linked stations.Since calibration of the gravity model can be carried out by different methods (depending on how the model incorporates stochasticity, which is responsible for differences between the modelled and observed data), after a detailed analysis of the most common methods for calibrating the gravity model, the approach was chosen based on the maximum likelihood estimation. The work also analyses the gravity model validation tools used to estimate the proximity between the observed and modelled trip matrices.Comparison of the modelled and observed trip matrices resulted in the conclusion that the gravity model under consideration predicts several aggregate indicators with a high degree of accuracy: total passenger turnover, average travel distance, and travel distance distribution. At the same time, it is shown that the error in the forecast of passenger flow for most individual origin-destination trips is quite large. This circumstance significantly reduces the possibility of practical application of the gravity model or the analysis and modelling of passenger flows in long-distance railway passenger traffic.

Technical–economic analysis to identify the acceptable maximum attenuation on PON FTTH lines for wholesale network operators

Telecommunications companies are constantly chasing continuous technological advances with their management methods of Operations & Maintenance (O&M) that still struggle to turn their eye toward innovation and simplification of processes. In a future that aims at fully fiber-optic networks, the objective of the research is to propose guidelines and provide data to support the Wholesale Operator for the definition of the acceptable attenuation threshold on the Passive Optical Network Fiber-To-The-Home (PON FTTH) infrastructure to determine the Service Level Agreements (SLA) to be contracted with Retail Operators. Following exceeding the threshold, the Retail Operator has the right to open a Trouble Ticket to request the resolution of the anomaly. Consequently, the definition of the attenuation threshold strongly affects the number of Trouble Tickets to be managed and the related costs the Wholesale Operator bears. This paper analyzes a specific case of the PON FTTH network of the Italian wholesale operator Open Fiber. The studied infrastructure, with a length of 11 km, allows a maximum attenuation of 37 dB without degrading the service. An economic model has been proposed to assess the cost impact of moving the attenuation threshold in the SLA.

IMPLEMENTATION OF PARKING SERVICE RETRIBUTION POLICY ON THE EDGE OF PUBLIC ROADS OF SUKABUMI CITY

The title of this study is "Implementation of the Policy for Parking Service Charges on the Side of Public Roads in the City of Sukabumi". The purpose of this study is regarding parking services on public roads. This research found several problems, namely the ticket was not realized when collecting parking fees and the lack of Human Resources (HR) in supervising parking attendants. The method used in this research is using qualitative research with data collection techniques using observation, interview and documentation techniques. In determining the informants in this study using the Snowball Sampling technique. The theory applied in this research is the policy implementation theory of Donald S.Van Meter and Carl E.Van Horn which is influenced by 6 dimensions. The results of implementing this policy conclude that the Implementation of Policy on Regional Regulation Number 16 of 2011 Regarding Parking Service Fees on the Side of Public Roads in the City of Sukabumi, that there are policies that have not obtained optimal results in line with the goals and objectives that have been set. If you look at the number of tickets that were not given and the lack of supervision.

Simulation of travel document purchase measures aimed at preventing the spread of COVID-19 – Case study from Slovakia

The COVID-19 pandemic has had a significant impact on railway services, such as restrictions on transport services, introduction of strict anti-pandemic measures at railway stations, and a ban on free travel. This study simulated passenger flow at the Bratislava railway station before and during the COVID-19 pandemic. This study provides an overview of the number of tickets sold, average waiting time of passengers, and time spent by passengers at ticket windows during peak and off-peak hours. The mass-service theory was used as the operational research method. In addition, the user interface of the AnyLogic simulation programme and practical results of the passenger flow simulations at the Bratislava railway station are discussed. The simulation results showed that passenger movement at the railway station was neither synchronised nor systematic. This concurred with the measures implemented during the pandemic that were considered unacceptable. New methods for selling travel documents at Slovak railway stations were proposed, which contribute to better spatial organisation of the stations, faster customer service at ticket windows, and negating infection risks.

Investigating the influence of agent modality and expression on agent-mediated fairness behaviours

With technological developments, individuals are increasingly able to delegate tasks to autonomous agents that act on their behalf. This may cause individuals to behave more fairly, as involving an agent representative encourages individuals to strategise ahead and therefore adhere to social norms of fairness. Research suggests that an audio smiling agent may further promote fairness as it provides a signal of honesty and trust. What is still unclear is whether presenting a multimodal smiling agent (by using visual and auditory cues) rather than a unimodal smiling agent as normally available commercially (using only an auditory cue e.g., Siri) could amplify the impact of smiles. In the present study, participants (N = 86) played an ultimatum game either directly with another player (control), through a smiling multimodal and unimodal agent or through a neutral multimodal and unimodal agent. Participants’ task was to offer a number of tickets to the other player from a fixed amount. Results showed that when playing the ultimatum game through a smiling multimodal agent, participants offered more tickets to the other player compared to the control condition and the other agent conditions. Hence, exploiting multisensory perception to enhance an agent’s expression may be key for increasing individuals' pro-social behaviour when interacting through such an agent.

401 Creating a Dashboard to Increase Efficiency in Tracking and Reporting on Research Data Requests

OBJECTIVES/GOALS: The purpose of the project was to create a Tableau dashboard to track metrics on requests for research data at Atrium Health Wake Forest Baptist. The objectives included: 1) define and identify request fulfillment metrics, 2) build a dashboard to capture metrics, and 3) integrate the dashboard into metrics tracking and reporting activities. METHODS/STUDY POPULATION: Project managers and team leaders in the Office of Informatics collaborated to determine which measures would be most relevant and impactful to report on. Metrics that were collected included: total count of tickets fulfilled over time, number of tickets currently open, sum of outstanding quoted hours, quoted hours vs. actual hours needed to fulfill ticket, and hours billed. Tableau's direct connection feature was used to extract the Trac ticket data from its Postgres database and the dashboard was published to Tableau Server. After the initial draft was created, several rounds of revisions were made as new data insights were discovered through further investigation of the data. RESULTS/ANTICIPATED RESULTS: Each morning, Tableau Server runs an automatic refresh of the data. On the dashboard homepage, users can see a quick view of all available metrics; to minimize noise, only the current statuses, active tickets, and stats for the most recent monitoring periods are displayed. Many of the charts give the user the option to link out to a page with related supplemental information (historic data, ticket status history, etc.). With the help of the dashboard, project managers and team leaders can now monitor how long tickets are in each status, increase quote accuracy using the hours quoted and hours billed charts, and examine ticket complexity over time. DISCUSSION/SIGNIFICANCE: Prior to dashboard creation, metrics were sparse and difficult to assemble. By providing information on the quantity, size, and complexity of data requests, the dashboard enables the Office of Informatics to monitor how the process is functioning overall, make informed decisions about resource allocation, and provide quick interventions.

Correlation between visuo-cognitive tests and simulator performance of commercial drivers in the United States

BackgroundDriving commercial vehicles requires intact visuo-cognitive skills. Approximately 13% of all fatal motor vehicle crashes in the United States involve commercial drivers. The ability to accurately predict risk factors for unsafe commercial driving is essential for public safety. Accurate prediction tools will advance the field of commercial driver science, provide policy guidance for driver testing and assist healthcare providers during testing. Prior studies have correlated clinical tools to roadway safety; translating these results to commercial drivers has not yet been done. ObjectiveThis study aimed to identify specific demographic, driving history and visuo-cognitive test results that correlate with driving simulator performance. Using the Cumulative Simulator Score (CSS) as a surrogate for driving ability, the objective was to correlate both sets of data (self-reported and visuo-cognitive testing) with the CSS to identify screening tools for unsafe driving in commercial drivers.Principal Results.Baseline assessments of 120 variables were collected from October 2020 to January 2022. Of the 31 participants, 3 were female and 28 were male with a mean age of 53 years. Average BMI was 32, blood pressure 136/84, 32 years of CDL driving experience, 36,500 annual CDL mileage, 11,000 annual personal mileage, 14 years of education, average number of medications: 2, average number of medical conditions: 2, six participants with personal and/or commercial crashes or tickets in past five years, MOCA 27/30, Trails B time 66 s, UFOV Speed of Processing 15 ms, Stroke Disease Severity Assessment pass rate 94 %.The Cumulative Simulator Score (CSS), correlated significantly with education (r = 0.42; p = 0.02), commercial driving experience (r = 0.42; 0 = 0.02), and number of tickets as a commercial driver (Spearman rho = 0.40; p = 0.02). In a stepwise multivariable linear regression analysis, the number of tickets as a CDL driver in the past five years and years of education were retained as significant variables in the multivariable linear regression model, explaining 38 % of the variance of total scores on the CSS.Major Conclusions.Descriptive and self-reported driving characteristics correlate better with the Cumulative Simulator Score in CDL drivers than visuo-cognitive tests. Since simulator performance has been shown to be a reliable surrogate for driving performance, the number of tickets as a CDL driver in the past five years and years of education can be considered as additions to annual physicals for policy makers and health care providers to help assess their on-the-road safety.