scispace - formally typeset
Search or ask a question

How can a mobile application be used to increase the efficiency of public transport? 


Best insight from top research papers

A mobile application can be used to increase the efficiency of public transport by providing optimized routes, real-time seat availability, and digital ticketing options. Users can easily plan their journeys and choose the most efficient routes to reach their destinations . The application can also help in reducing unnecessary waiting time at stops and provide a smooth ticketing experience . Additionally, the use of mobile applications in public transport can improve the overall user experience by mitigating transport problems and improving the quality of public transportation . These applications offer speed, efficiency, and a bug-free environment, making them beneficial for both passengers and transport managers . The constant development of mobile apps for transportation and logistics is likely to continue, leading to further improvements in the efficiency and attractiveness of public transport systems .

Answers from top 4 papers

More filters
Papers (4)Insight
The paper discusses the use of mobile applications in improving the efficiency and attractiveness of public transportation. It concludes that these applications can mitigate transport problems and improve the user experience. However, specific details on how the applications increase efficiency are not provided in the paper.
The paper discusses the impact of mobile device applications on the improvement of public transportation, but it does not specifically mention how a mobile application can be used to increase the efficiency of public transport.
The paper proposes a smart ticketing application that provides optimized routes and available seats, increasing the efficiency of public transport.
The paper proposes a smart ticketing application that provides optimized routes and available seats, increasing the efficiency of public transport.

Related Questions

How can metro traffic be made more efficient?5 answersEfficient methods to improve automation in metro traffic regulation are being investigated. An improved state space model is developed to describe the dynamics of metro loop lines, including predicted near-future states. The metro traffic regulation problem is formulated as an optimal control problem and solved using quadratic programming. Simulation results demonstrate the effectiveness of the designed controller.Efficiency in metro traffic can be achieved through the strategic design of efficient timetables and economic driving parameters. A two-level optimization method is proposed to design efficient driving commands for each interstation of a metro line. This method considers comfort restrictions, train mass uncertainty, and energy consumption. The optimization is performed using a multi-objective particle swarm optimization algorithm and a fuzzy greedy randomized adaptive search procedure. The proposed algorithms achieve a significant reduction in energy consumption compared to traditional timetable designs.Energy efficiency in metro operations can be improved by introducing energy-saving devices and optimizing train timetables. A smart control module is designed to integrate passive and active control modes in the metro power supply network. A timetable optimization model is introduced to trade off energy consumption, infrastructure investment, and travel time. The non-dominant sorting genetic algorithm is used to optimize the timetable. The proposed approach achieves significant improvements in energy efficiency from both passive and active energy-saving devices.The use of a frequency-controlled drive for regulating asynchronous electric motors on subway cars can increase energy efficiency. Scalar control is used due to its ease of implementation and adjustment. The introduction of IR compensation into the control system of the electric drive improves the motor's performance and stability. The application of IR compensation is a promising direction for improving energy efficiency in subway operations.
How can public transportation be made more convenient for users?5 answersPublic transportation can be made more convenient for users by implementing systems that provide path and fare information, expected arrival times, and nearby bus stops to users' smartphones. Additionally, a user-centric approach is important, which includes a strong focus on customer satisfaction, thorough research on customer satisfaction and service quality, and the involvement of users in the design, planning, and implementation of public transport services. Furthermore, a fast and multi-layered transit simulation system can be utilized to better understand transportation demands, make improvements, and provide evaluation metrics for different transit networks. By considering these factors, public transportation can become more convenient, cost-effective, and user-friendly, leading to reduced traffic congestion, pollution, and improved quality of living in smart cities.
How can the Internet of Things be used to improve public transportation services?5 answersThe Internet of Things (IoT) can be used to improve public transportation services in several ways. Firstly, IoT enables the integration of intelligent transportation systems (ITS) with IoT devices and cloud computing, allowing for complex data analytics and real-time monitoring of traffic and travel patterns. This information can be used to optimize public transportation routes, improve efficiency, and reduce congestion. Additionally, IoT devices can provide valuable data for emergency situations, such as medical emergencies, allowing for faster response times and improved safety. IoT technology can also be used to monitor and maintain critical systems in aviation operations, ensuring the safety and reliability of flights. Furthermore, IoT can enable the implementation of intelligent control methods for unmanned public transportation systems, allowing for automatic control based on passenger conditions and improving the overall experience for users. Overall, IoT has the potential to revolutionize public transportation by enhancing efficiency, safety, and user experience.
How can an intelligent transport system be used to improve the efficiency of smart card ticketing?4 answersAn intelligent transport system can improve the efficiency of smart card ticketing by implementing various features. These features include the use of smart card technology to withdraw funds from a passenger's account instead of using direct money transactions, eliminating the need for coin change and reducing issues caused by a lack of change. Additionally, a smart ticketing application can be developed to provide a smooth ticketing experience, showing optimized routes and available seats to passengers. Users without smartphones can still book tickets with the help of conductors, and the generated acknowledgment can act as a digital ticket verified by ticket checkers. Furthermore, the use of an intelligent ticketing system with multiple payment modes can enhance ticket purchasing efficiency for users.
What are the key features that a mobile application for bus transit should have?5 answersA mobile application for bus transit should have key features such as real-time bus location tracking, offline journey monitoring, bi-directional communication between operators and passengers, and accurate bus timing information. The app should provide real-time information on bus locations to alleviate inconvenience for students and allow users to create or renew bus passes. It should also allow users to monitor their bus journey without internet connectivity and reach their desired bus stop without actively monitoring the app throughout the journey. Additionally, the app should enable passengers to send real-time incidences to operators and provide specific information about routes and real-time transit information. Furthermore, the app should provide information on exact bus route numbers, current bus location, estimated arrival time, and the number of passengers in the bus. Lastly, the app should facilitate easy access to bus departure and route information for users, helping them reach their destinations efficiently.
How can mobile app help in public transportation?5 answersMobile apps can help in public transportation by providing various benefits such as route optimization and planning, online booking and tracking, parking information, transport and fleet management, communication channels, and transportation/delivery schedule optimization. They can also track the location of buses in real-time, inform passengers about bus arrival times, and provide details about bus routes and stops. Additionally, mobile apps can contribute to sustainable urban mobility by offering services like vehicle sharing and integrated payment methods through the mobility as a service approach. Furthermore, mobile apps can assist visually impaired individuals in navigating the public transport system by utilizing geolocation and voice recognition. Geo-fence technology in mobile apps can also be used to alert and notify passengers about their current location and destination.

See what other people are reading

How work experience helps in the performance?
5 answers
Work experience plays a crucial role in improving employee performance. Employees with more years of service have a variety of work experiences, which enhances their skills and problem-solving abilities within the company. Having extensive work experience enables employees to have a better understanding of their assigned tasks, leading to higher performance levels. Additionally, work experience contributes to employees' mastery of skills and responsibilities, which positively impacts their performance. Furthermore, experienced employees are more likely to gain trust from other companies, leading to increased authority and better business opportunities. Research also shows that work experience has a positive and significant effect on employee performance. Therefore, work experience is essential for improving employee performance by enhancing skills, knowledge, and work engagement.
What are the most used techniques to treat imbalanced data?
4 answers
The most used techniques to treat imbalanced data include resampling, cost-sensitive learning, and ensemble methods. Resampling techniques involve oversampling the minority class or undersampling the majority class to balance the dataset. Cost-sensitive learning assigns different costs to different classes to address the imbalance. Ensemble methods combine multiple classifiers to improve performance on imbalanced data. Another approach is to use data-level techniques, such as SMOTE (Synthetic Minority Over-sampling Technique), which generates synthetic samples for the minority class. Hybrid approaches combine multiple techniques, such as combining oversampling and undersampling, to address the imbalance. Overall, researchers are working on various approaches at the data level, algorithm level, and hybrid level to tackle the issue of imbalanced data.
What are the security risks of AI?
5 answers
The security risks of AI include the intelligent evolution of hacker attacks and self-learning that makes illegal intrusion difficult to detect. AI can also lead to the illegal acquisition or use of personal information, making it difficult to protect user privacy. There are security risks in intelligent risk control, as it is impossible to prevent risk control loopholes by antagonizing samples. AI-generated media can be used for phishing attacks, mimicking voices, and creating disinformation, leading to growing security risks. However, AI can also be used to detect and block anomalies, enhance security response times, and bolster detection and incident mitigation capabilities.
How can machine learning be used to improve sentiment analysis?
4 answers
Machine learning can be used to improve sentiment analysis by analyzing the emotions and attitudes expressed in human thinking. Different machine learning algorithms, such as Naive Bayes, SVM, RNNs, CNNs, and LSTM Networks, can be employed for sentiment analysis of data collected from social media platforms and online forums. These algorithms have varying performance depending on the type of data being analyzed, with some algorithms performing better for short texts like tweets and others for longer texts like news articles. Combining multiple algorithms can improve the accuracy of sentiment analysis. Machine learning methods can serve as a potent means of scrutinizing human thoughts and emotions, with implications for applications in marketing, politics, and mental health. Additionally, supervised Gradual Machine Learning (GML) approaches can effectively exploit labeled training data to improve knowledge conveyance in Aspect-Term Sentiment Analysis (ATSA). Sentiment analysis using machine learning techniques is also used to assess user comments and make judgments about their opinions, helping to address the information overload issue in online reviews.
What was the impact of covid-19 on transport sector?
5 answers
The COVID-19 pandemic had a significant impact on the transport sector. Airlines experienced a decline in the number of flights operated and a decrease in the number of passengers carried, resulting in heavy losses for the sector. Public transportation, in particular, was severely affected, with a widespread reduction in ridership of up to 70 to 90 percent in cities around the world. The maritime shipping sector also faced challenges, including congestion problems, delays, and uncertainty in timeframes. The demand for transportation dropped sharply, leading to disruptions in the industry. Passenger railway transport also saw reductions in mobility due to travel bans, quarantines, and closures of facilities and services. These impacts highlight the need for clear rules and messages in crisis situations and the importance of developing measures to increase the competitiveness and resilience of the transport sector in future crises.
What are the current trends in breast cancer research?
4 answers
Breast cancer research trends include the analysis of breast cancer susceptibility genes (BRCA) and their role in the incidence and development of breast cancer. The study of molecular biology and characteristics of breast cancer is another focus area, including cell growth and proliferation pathways, germline mutations, and invasive and metastatic factors. Targeted therapies, such as poly(ADP-ribose) polymerase (PARP) inhibitors, are being investigated for breast cancer treatment. Computer-aided diagnosis (CAD) systems based on convolutional neural networks (CNN) are being developed to improve breast cancer image screening and diagnosis. Computational approaches, including artificial intelligence and bioinformatics, are being used to analyze breast cancer prediction, diagnostics, treatment, and drug discovery.
How surrounding environment affects productivity?
5 answers
The surrounding environment has a significant impact on productivity. Factors such as the physical work environment, including temperature, lighting, noise, and layout, can affect workers' productivity levels. For example, high temperatures and noise levels can lead to lower productivity levels. On the other hand, factors like security and weather conditions have a positive effect on productivity. Additionally, a good working environment that provides a sense of well-being, inspiration, and comfort can lead to increased productivity and overall satisfaction. It is important for policymakers and organizations to understand the impact of the physical environment on productivity in order to create optimal work conditions and improve workers' well-being and performance.
Why to choose angular as web framework?
4 answers
Angular is a popular web framework that offers a methodical and effective way to create dynamic and interactive web applications. It simplifies web development by providing robust capabilities and out-of-the-box features, making it a top choice for developers. AngularJS, a version of Angular, has been proven effective in enhancing user experience and ease of development, especially when combined with Agile methods. The framework facilitates the creation of dynamic views within the application, allowing developers to focus on the user experience rather than underlying technologies. It also speeds up development, reduces code duplication, and simplifies program debugging. Additionally, Angular's modular architecture, data binding, and components contribute to its advantages over other frameworks. Overall, choosing Angular as a web framework offers efficiency, quality, and improved user experience for web application development.
What is the significance of study about working student to student?
4 answers
The study of working students is significant because it helps universities understand the unique experiences and challenges faced by these students. It allows universities to identify factors that contribute to the educational success and well-being of working students. Research shows that working students who combine their studies with work in their field of study have a more developed educational experience and higher levels of self-change potential and subjective well-being. However, working while studying can also have negative impacts on students' lives, such as limited flexibility, financial calculations, and negative effects on social lives and mental health. Understanding the experiences of working students can help universities create better conditions and support systems to help these students succeed academically and professionally. Additionally, studying the size and composition of the student labor force can provide insights into the potential impact of student work on labor markets in the European Union.
What are the different techniques used in facial expression recognition system?
4 answers
Facial expression recognition systems use various techniques to accurately identify and classify facial expressions. These techniques include machine learning algorithms such as logistic regression (LR), random forest (RF), and AdaBoost (ADA). Convolutional Neural Networks (CNNs) have also been used for facial expression recognition, yielding excellent results by extracting higher and multi-level features of the face. Other methods include leveraging techniques from recent research, combining CNN architectures like VGG-16 and Resnet-50 with auxiliary datasets, and using geometric features and facial landmarks with SVM models. Additionally, Gabor-wavelet filter banks and Local Binary Patterns (LBP) have been used, with LBP-based extraction showing high efficiency and effectiveness. High-resolution image generation and coarse-to-fine classification modules have also been employed to address different resolution facial expression recognition.
What are the problems and prospects of poultry and livestock in the Philippines?
4 answers
The poultry industry in the Philippines faces several challenges and opportunities. One of the main problems is the lack of improvement in the water management system, leading to issues with water toxicity in poultry farms. Waste management is another concern, with difficulties in manure disposal, water and air pollution, odor disturbance, and virus outbreaks. Additionally, the intensification of livestock production has led to a decrease in the diversity of native animal breeds. On the other hand, there are prospects for growth in the industry. The Philippine broiler industry is continuously expanding, and there is a need for devices to detect water toxicity and improve water management. The government has implemented policies and initiatives to address waste management and environmental safety. Understanding the characteristics and value of native and exotic livestock breeds is crucial for prioritizing their conservation. However, the use of medically important antibiotics in poultry farming poses a significant challenge, as it contributes to the emergence of antibiotic resistance genes.