Ticketing System Research Articles

Electronic Ticketing System for Monuments and Museums

Being one of the largest networks of ticketing systems operating over 1,015,000 km and transporting over 22 million visitors daily, e-ticketing systems spend over CR 94,000 to operate efficiently. From the recent proposal for smart cities, ticketing systems are projecting to museums and cultural monuments with the current trend towards digitization, smart ticketing systems are the most of the hour. Of the 94,000 kr. is an exorbitant salary of 23,500 kr. spent on paper that can be subsidized using effective alternative techniques. The smartphone, which has a profound effect on people's daily routine, can be used for paperless ticketing. In today's digital era, the way we access and experience cultural heritage sites, such as museums and monuments, is evolving. Traditional paper tickets and long queues are fast becoming outdated, replaced by more efficient and user-friendly digital solutions. This project explores the development of a Mobile based ticketing system that simplifies the ticket purchase process for visitors, provides easy entry verification through QR codes, and enhances security with biometric authentication. Beyond improving the visitor experience, this system helps site administrators manage visitor flow, protect against fraud, and even reduce environmental impact by going paperless. The application’s aim is to create a seamless and enjoyable journey for visitors—from purchasing tickets to entering the site—while providing insightful data for site managers on visitor patterns and peak hours. This digital transformation reflects the larger trend of integrating technology into our everyday experiences, making heritage sites more accessible, sustainable, and enjoyable for everyone. Key Words: e-ticketing system, digital ticketing ,QR code verification, biometric authentication, visitor management, cross-platform application, flutter framework, paperless ticketing, mobile ticketing solution, cultural heritage sites, museum access control, visitor analytics, crowd management ,secure ticketing system, smart tourism technology

Chat-Bot Based Ticketing System Using Dialogflow and Llama LLM

MyMuseum represents an innovative solution designed to revolutionize the ticket booking process for museums across India, with the primary goal of enhancing engagement and increasing visitor numbers. At its core, the system incorporates a sophisticated conversational AI chatbot that streamlines the ticket booking process, eliminating the hassles traditionally associated with museum visits. This chatbot is complemented by an additional AI-powered feature that interactively presents exhibit information, creating a comprehensive and engaging user experience. The platform boasts a user-friendly interface accessible around the clock, significantly simplifying ticket booking procedures while offering real-time navigation support and comprehensive guides for all participating museums. Key features of MyMuseum include automated event management, a system for notifications and alerts, virtual tour capabilities, and interactive content delivery, collectively forming a holistic solution for museum visitors. This report provides an in-depth examination of the underlying technology stack, which encompasses the ticket-booking chatbot, a Large Language Model (LLM) for disseminating information about museums, their artifacts, and exhibits, integrated payment gateways, and robust backend services. It highlights the myriad benefits of the system, including enhanced automation, scalability, and the generation of data-driven insights. Beyond improving convenience for visitors, MyMuseum is projected to drive increased museum attendance, boost revenue through strategic upselling opportunities, and play a crucial role in enhancing cultural awareness and education. Furthermore, it promises to alleviate operational burdens on museum staff by providing real-time analytics and improving overall efficiency and sustainability in museum operations

Touchpoints and systems for unmanned autonomous urban ferry operation

Abstract Currently, both experimental and commercial autonomous ferry services have a safety operator onboard who monitors the ferry systems, takes care of the passengers’ safety, and gives them the necessary information. Service touchpoints are all the interaction points between the autonomous ferry and the passengers throughout the passenger journey, from planning the trip to reaching their destination. To reach a state where the ferry service can be unmanned, by moving the safety operator into a remote operation centre, several additional systems and service touchpoints are needed to support the passengers’ safety and provide them with necessary information. This article discusses (1) the service touchpoints and systems needed for an autonomous urban ferry service, (2) how these touchpoints provide the passengers with the necessary information to foster trust and perceived safety, and (3) shows some examples and design suggestions for the experimental autonomous urban ferry milliAmpere2. The service touchpoints presented are (1) a ticket system, (2) an automatic ferry ordering system for on-demand operation, (3) an automatic passenger handling system for safe boarding of the ferry, (4) a passenger information system to provide visual and audio feedback about the ferry service, and (5) a passenger-operator communication system in case contact between the ferry and the remote operation centre need to be established.

Study of Integrated Ticketing Systems in Banyuwangi Tourism Destinations

Study of Integrated Ticketing Systems in Banyuwangi Tourism Destinations

Analysis of The Effectiveness of Electronic Ticketing Lodaya In Enforcing Traffic Violations

Rampant traffic violations have spurred the development of information system-based technology by the Indonesian National Police equipped with a network or website as its software or Electronic Traffic Law Enforcement (ETLE). Through ETLE Lodaya, people ticketed for traffic violations will be sent a letter. This electronic system is very different from the street's manual ticketing mechanism. This study aims to assess the effectiveness of the ETLE Lodaya system through the mechanism of the Electronic Ticket Lodaya system in the jurisdiction of the Cirebon City Police. The research method used in this writing is qualitative. The data collection technique was conducted by interviewing police members regarding traffic violations at the Cirebon City Police. The results of this study show that the use of Electronic Ticket Lodaya in the Cirebon City Police area has not been effective because of inhibiting factors that affect the effectiveness of the Electronic Ticket system, including the ETLE mechanism, which requires a long process, community disobedience to the rules.

Generative AI Chatbot for Engineering Scientific Journal

Abstract: This study focuses on exploring the potential of artificial intelligence as an alternative, effective, and user-preferred tool for answering inquiries, compared to traditional methods such as FAQs or email and ticketing systems. The study highlights how AI can enhance efficiency and accuracy in processing and responding to inquiries from readers, authors, and reviewers, by providing immediate and customized answers based on the analysis of information available on the journal's website and the data fed to the chatbot. Through in-depth discussions and an analysis of the inquiries received over a full six months, totaling about 3000 inquiries, the study demonstrates the good ability of the chatbot to understand complex inquiries and provide satisfactory answers. The study indicates that chatbots can reduce the workload on editorial teams of scientific journals by automating responses to routine inquiries, allowing staff to dedicate more time to editorial and academic tasks. One of the key aspects of training is teaching the chatbot to provide correct answers to various inquiries and to avoid responding to negative or redundant inquiries. The research explores the challenges of applying AI in this context, including the need to train smart models to understand specific academic language and ensure accuracy in responses, as well as addressing privacy concerns and data security. The importance of designing flexible and adaptable AI systems to meet the diverse requirements of different scientific journals and their users is emphasized. The study concludes that artificial intelligence is a promising tool for improving the interaction between academic journals and their communities, offering an effective alternative to traditional systems. It highlights the necessity for ongoing research and development to enhance AI capabilities. Notably, the AI tool currently lacks a direct method for correcting its wrong answers, which is one of the most effective learning tools used by parents to correct their children's answers. One of the key recommendations of the study is that AI training should be conducted in stages.

Perbandingan Penegakan Aturan Lalu Lintas Antara Penerapan Tilang Manual Dan Electronic Traffic Law Enforcement (ETLE) Di Kota Padang

Enforcement of traffic rules is regulated in Law Number 22 of 2009 concerning Road Traffic and Transportation and Government Regulation No. 80 of 2012 concerning Procedures for Inspecting Motorized Vehicles on the Road and Enforcement of Traffic and Road Transportation Violations. The development of an electronic-based law enforcement system gave birth to Electronic Traffic Law Enforcement as an innovation to overcome obstacles in the application of manual fines. However, in its application, ETLE was also not free from various problems, so the urgency was born to conduct research to find out and compare the procedures for applying manual and ETLE tickets and how to apply future tickets in Indonesia, especially in the city of Padang as a research location. This study uses empirical juridical methods, the data used is primary data from interviews with Padang Police TMC operators and secondary data is in the form of document studies. The result of the research is that manual poles are directly imposed on violators by officers. Meanwhile, ETLE is a modern ticket system used by the police to monitor and prosecute traffic violations electronically with camera and sensor technology to identify vehicles that violate traffic rules, such as violating a red light or crossing the speed limit. Obstacles that occur in manual ticketing are low legal awareness from both law enforcers and the public. The obstacles that occur in ETLE are the limitations of static and mobile camera devices so that the application is not comprehensive. The application of fines in the future will still use a combination of manual and electronic ticketing due to the low level of public legal awareness and the uneven distribution of electronic ticketing devices in the city of Padang.

The Role of Digital Innovation in Modernizing Railway Networks: Case Studies and Lessons Learned

Digital innovation has become a cornerstone in the modernization of railway networks, offering transformative potential to address the complex challenges faced by this critical infrastructure. As global transportation demands evolve, rail systems are increasingly incorporating advanced technologies to enhance efficiency, safety, and passenger experience. This paper explores the pivotal role of digital innovation in modernizing railway networks, presenting detailed case studies and lessons learned from various global implementations. The first section of the paper examines several case studies highlighting successful digital transformation initiatives in railway systems. It includes an analysis of the deployment of Internet of Things (IoT) devices for real-time monitoring and predictive maintenance, advanced data analytics for optimizing scheduling and capacity management, and the integration of smart ticketing systems to improve customer convenience. By analyzing these case studies, the paper identifies key success factors and common challenges encountered during the implementation of digital technologies.

CHAT MARKETING'S IMPACT ON CUSTOMER SUPPORT SATISFACTION IN FINANCIAL STARTUPS

The subject of this paper is the influence of chat marketing on customer support satisfaction. The purpose of the study is to determine the relationship between the use of chat marketing and customer support satisfaction, as well as to identify the essential factors that contribute to this relationship. Furthermore, this paper aims to provide theoretical insights into the influence of chat marketing on customer support satisfaction in financial startups. Many companies struggle to achieve the most efficient chat session and are uncertain about the best strategies, factors and types of chat to implement. Therefore, these findings will help financial startups to theoretically understand the aspects of chat marketing and customer support satisfaction. The object of this article is the impact of chat marketing on customer satisfaction, and the purpose is to reveal theoretical knowledge that will help identify the factors that contribute to chat marketing and customer satisfaction in financial startups. This paper discusses the importance of customer support for financial startups and the different approaches to providing customer support through emotional means. In addition, this paper highlights the importance of customer satisfaction through trust and commitment to build a positive relationship with the customer. Furthermore, this paper demonstrated the framework behind chat marketing, which includes the use of different tools such as live chat platforms, chatbots and live agents or human representatives that help to achieve customer satisfaction through customer support. Moreover, using methods such as: observation, survey and regression analysis, this paper has demonstrated the importance of customer centricity in the financial sector to provide key essentials for employees as incentives that maintain customer satisfaction, while ensuring the flexibility of real-time communication with chatbots or live agents, with the need to have the ease of use and flexibility and various other factors to contribute to customer support satisfaction. As a result, the paper emphasises that in order to increase customer satisfaction with financial start-ups, it is crucial to maintain a low response rate by providing fast and reliable customer assistance. Developing and regularly updating chatbots to facilitate smooth transitions to live agents in complex situations is essential. Implementing an effective ticketing system to automate and monitor issue resolution is essential, with a focus on resolving issues during chat interactions whenever possible. Adopting a hybrid strategy that combines live agents and chatbots helps to meet diverse customer needs in a timely manner. Investing in comprehensive training for live agents is necessary to ensure professional and timely service. In addition, continuous monitoring and analysis of customer feedback plays a key role in improving overall business performance.

Performance Evaluation on Resolution Time Prediction Using Machine Learning Techniques

The quality of customer service emphasizes support tickets. An excellent support ticket system qualifies businesses to provide clients with the finest level of customer support. This enables enterprises to guarantee the consistency of quality customer service delivered successfully, ensuring all clients have a good experience regardless of the nature of their inquiry or issue. To further achieve a higher efficiency of resource allocation, this is when the prediction of ticket resolution time comes into place. The advancing technologies, including artificial intelligence (AI) and machine learning (ML), can perform predictions on the duration required to tackle specific problems based on past similar data. ML enables the possibility of automatically classifying tickets, making it possible to anticipate the time resolution for cases. This paper explores various ML techniques widely applied in the Resolution Time Prediction system and investigates the performance of three selected ML techniques via the benchmarking dataset obtained from the UCI Machine Learning Repository. Implementing selected techniques will involve creating a graphical user interface and data visualization to provide insight for data analysis. The best technique will be concluded after performing the ML technique evaluation. The evaluation metrics involved in this step include Root Mean Square Error (RMSE) and Root Mean Absolute Error (MAE). The experimental evaluation shows that the best performance among the selected ML techniques is Random Forest (RF).

Implementation of the E-Ticket System in the Prosecution of Traffic Violations in Cirebon City

This study aims to analyze the application of the E-Ticket system in prosecuting traffic violations in Cirebon City. E-Tilang is an electronic ticketing system implemented by the Indonesian National Police (Polri) in an effort to enforce traffic law and order. The research method used is a qualitative method with data collection techniques through observation, interviews, and documentation. The informants in this study were the Head and Members of the Cirebon City Police Traffic Unit. The results showed that E-Tilang in Cirebon City has not run optimally. Some of the obstacles faced are accountability such as limited human resources in the police who only have 22 members of Satlantas, lack of socialization to the public and the number of people unfamiliar with technology so that E-Tilang is considered complicated. In terms of centralization such as the lack of E-Tilang camera devices installed, and the inaccuracy of vehicle ownership data that has not been changed. The security of violator data is an important concern. E-Tilang camera devices are planned to be used in the future, along with the improvement of the mobile E-Tilang system.

Use of Ticketing System in Freelancing Platform to Maintaining Client Trust in Product Development Process

Micro, small, and medium enterprises (MSMEs) are considered to be one of the important components in the economic development of a country, especially Indonesia. However, it has been found that MSMEs are lagging in digitalization, the adoption of information technology, and digital marketing. An information system where MSMEs can have easy access to IT and digital marketing professionals can be a solution to boost and encourage digitalization among local MSMEs. Developing such an information system requires the project to be able to quickly adapt and change based on the user’s needs and current trends. This study proposes an incremental solution to building an accessible information system catered for MSMEs by incorporating the ADDIE model into the development cycle. To understand the feasibility of the system, several group meetings are arranged to demonstrate and try out the system’s capability to the target users. The results indicate that the system is generally able to fit the needs of MSMEs and is quite effective at connecting the MSESs to IT and Digital marketing resources and experts.

Multi-agent reinforcement learning framework based on information fusion biometric ticketing data in different public transport modes

In smart cities, biometric technologies have become extensively used for ticket authentication on public transport. Information fusion plays a key role in biometric ticketing, allowing ticket validation with more data source validation in different public transport modes. This paper proposes a novel biometric technology-based mobile ticket application-based system. We formulate the problem as a multi-agent reinforcement learning framework for biometric ticketing in multi-transport environments. Specifically, we propose the Asynchronous Advantage Critic Biometric Ticketing Framework (A3CBTF) algorithm, which consists of different schemes based on the proposed system. The proposed algorithm framework operates in hybrid transport modes using a parallel reinforcement learning scheme. A key advantage of A3CBTF is that it enables passengers to use a single ticket for various public transport modes. Additionally, even when a passenger’s mobile device is stolen, lost, or has a dead battery, they can still validate their tickets through different information fusion sources, such as fingerprint and face recognition. A3CBTF is a multi-agent system that integrates mobile, transport, edge, and cloud servers to facilitate ticket validation in a distributed environment. By optimizing both convex and concave optimizations, A3CBTF ensures efficient ticket validation with minimal processing time and maximizes validation rewards across different biometric technologies. Experimental results demonstrate that A3CBTF outperforms mobile off with other options such as fingerprint and face recognition in public transport as compared to other ticketing systems.

Bus Pass Management System

The main objective of our project is to secure the use of bus pass in public transportation using RFID authentication. In olden days, conductor will be available in every public transportation and used to collect money for ticket and provide them printed tickets. This case is even followed in many developed cities too, in order to overcome the labour and securing ticketing system we had proposed “Bus Pass Management System Using RFID Card”. In this model we will be placing RFID reader in public transportation while peoples get in and out of our system. With the help of this system, we will be capturing the RFID Card details and verify the validity of it by connecting the cloud server via GPRS System. If the RFID card is the valid one the person is allowed to get into the public transportation or else, they have to login to the ticketing portal and by the pass instantly. Admin will notify the incoming request and approve it after payment successful and if it is an old user their RFID card will be activated immediately or new user, they must get the RFID card from the depot

Leveraging ontochains for distributed public transit ticketing: An investigation with the system for ticketing ubiquity with blockchains

AbstractTransport ticketing systems are crucial for enabling seamless, efficient, and sustainable mobility. However, traditional ticketing systems face limitations such as ticket fraud, lack of interoperability, and the inability to adapt to changes in the dynamic transport networks they issue tickets for. This paper presents new approaches to the system for ticketing ubiquity with blockchains (STUB), a novel smart transport ticketing solution that employs ontochains, a hybrid data structure combining blockchains and ontologies to form a type of distributed knowledge graph. STUB aims to address these limitations by providing a secure, transparent, and flexible platform for ticket issuance, validation, and management. We describe the key components and workflow of the STUB system, highlighting the use of transport network ontologies for modelling complex relationships within transportation systems and blockchain technologies for transport network ontology's state. Additionally, the implementation of Merkle proofs for efficient and secure validation between on‐chain and off‐chain ontological data is discussed. Finally, a simulated toy example is used as a lightweight proof‐of‐concept to demonstrate these capabilities. The proposed STUB system has the potential to significantly impact the future of transportation ticketing by offering a more seamless, interoperable, and user‐friendly experience whilst addressing the challenges associated with traditional ticketing systems.

Working of E-Ticketing for Public Buses

The transition from manual, cash-based ticketing procedures to a cutting-edge digital system represents a pivotal advancement in modernizing India's public bus transportation. This research paper delves into the working model of e-ticketing for public buses, aimed at addressing long-standing challenges of wait times, operational hurdles, and inefficiencies inherent in traditional systems. By leveraging state-of-the-art digital technology, this initiative aims to revolutionize the public transportation experience, enhancing security, convenience, and operational efficiency for both administrators and passengers. Thus, to provide an agile and smooth ticketing experience, we have proposed the smart application. [4] Key objectives of this research include the elimination of manual cash transactions, reduction of wait times, and mitigation of operational inefficiencies. Through the implementation of a digital ticketing system, the paper explores how transaction processes are streamlined, providing passengers with a seamless interface for ticket purchases. Not only does this innovation enhance transaction security, but it also fosters a more agile and responsive public bus transportation system. The research assesses the tangible benefits of the digital ticketing solution, highlighting its role in increasing passenger flexibility and reducing congestion through shorter wait times and improved traffic flow. Real-time data analytics are examined as a critical tool for administrators, enabling enhanced resource allocation and informed decision-making processes. This paper presents a comprehensive analysis of the working model of e-ticketing for public buses, offering insights into its functionality, implementation challenges, and the transformative impact it has on India's public transport sector. By promoting a more sophisticated and user-friendly framework, the research underscores the potential of digital ticketing solutions to redefine the landscape of public transportation, paving the way for a more efficient and accessible urban mobility system in India. Key Word: E-ticketing, Public buses, Digital technology, Operational efficiency, Urban mobility

Automatic Bus Fare Collection System Using RFID

Abstract: India is the second largest populated country in the world so most of the people use public transport. During peak hours issuing tickets to each passenger manually is time consuming and tedious task and also a problem. The probability of ticket fraud is also high in this case. Since the tickets are made of papers it leads to deforestation and these tickets are of no use once when the passenger gets out of the bus. So in order to overcome all these difficulties we have a Smart ticketing system that is proposed using RFID to issue tickets to passengers. In order to ensure the passengers journey with no quarrels and mesh we employ this solution that replaces the traditional paper ticketing by electronic cards, vended through automated machine using smart cards, which improves the convenience and security of transaction. This project actually suggests a much more public friendly, automated system of ticketing with the use of RFID based tickets. Automatic Fare Collection System is implemented in this project through RFID (Smart) card. RFID card is given to the passenger and when passenger enters to the bus, he has to scan the card in the RFID reader. All the record will update automatically in the server continuously. RFID system through automated machine enables the passenger to predetermine the transport details. The control circuit is designed using arduino controller that will be interfaced with a DC motor to identify the distance travelled by the passenger to collect the fare amount. In addition a LCD is used for displaying the data.

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.

Construction and Evaluation of a Traditional Village Tourism Imagery Element System Based on Xidi Village

Tourism imagery is one of the decision variables for tourists’ travel intentions and behavior. Traditional village tourism imagery studies mostly focus on tourist space, landscape imagery, etc. Few overall imagery studies have been conducted. This paper integrates non-structural and structural methods, uses three-level coding based on rooting theory, constructs a traditional village tourism place imagery element system through network text analysis, designs and analyzes questionnaires accordingly, and empirically evaluates the tourism imagery of Xidi village in Anhui Province. The results show that the overall satisfaction of tourists is less than important, indicating that there is a systematic deficiency in the perception of tourism place imagery of Xidi village. The dimensional IPA analysis shows that the three dimensions of natural landscape, social landscape, and physical cuisine are in the improvement area. According to the supplementary IPA factor analysis, factors such as natural phenomena, historical figures, clan history, watershed, accommodation, ticket systems, and guide services need important attention, improvement, and promotion. The results of the emotional analysis are dominated by positive images, but attention needs to be paid to the negative impact of negative images. Based on the above findings, recommendations are proposed to improve the layout of the development, and enhance the service facilities and quality based on these findings.

Designing a helpdesk ticketing system to improve the efficiency of IT support services on an XYZ company-based web-site using the Laravel framework

PT XYZ company requires a Helpdesk Ticketing system that can enhance the efficiency of their IT support services. Hence, this study aims to design and implement a web-based Helpdesk Ticketing System using the Laravel framework. The system is designed to assist the IT department in efficiently responding to and addressing employee issues. The research methodology includes user requirement analysis, system design, and application development using the Laravel framework. During the requirement analysis phase, the author identifies user needs and determines the essential features that should be present in the system. Subsequently, the system is designed, considering efficient architecture and design principles. In the development stage, the author utilizes the Laravel framework to build the Helpdesk Ticketing System. The selection of this framework is based on its capability to expedite the development process and provide the required features for the system. Additionally, the author conducts testing using the Black Box Testing method to ensure the system's functionality. The outcome of this research is a web-based Helpdesk Ticketing System that efficiently assists the IT department in handling employee issues. The system allows employees to report problems through the website, and the IT team can easily respond to and manage incoming tickets. With the implementation of this system, it is expected that the efficiency of IT support services will increase at PT XYZ.