How motor buses facilitates public transportation?5 answersMotor buses facilitate public transportation by providing convenient and efficient means of travel for passengers. They offer various features and technologies to enhance the transportation experience. One such feature is the use of motor-driven pedals in buses, which are designed to assist the elderly and children in boarding and alighting the bus. Additionally, the introduction of electric-powered buses in public transport systems helps in promoting ecologically clean transport technologies. These buses utilize electric propulsion, reducing emissions and contributing to a cleaner environment. The operation of electric-powered bus fleets requires the establishment of appropriate technical infrastructure, including charging stations for urban transport. Furthermore, the layout of bus lines and the organization of bus operations play a crucial role in the efficient functioning of public transport systems. Models have been developed to optimize the choice of bus propulsion type, considering technical, organizational, economical, and ecological factors. Overall, motor buses contribute to the accessibility, sustainability, and efficiency of public transportation systems.
How can maintenance management be improved in the bus industry?3 answersMaintenance management in the bus industry can be improved by adopting new methodologies and approaches that align with Lean Philosophy and Industry 4.0. This involves doing more with less, using less equipment, human effort, space, and time, while offering customers what they want, when they want it. Additionally, the use of intelligent factories with computer interfaces and extensive communication networks can create real-time information systems. Centralization and cooperation with other production structures can streamline the system of maintenance and repair, leading to increased productivity and rational use of technological equipment. Utilizing the Internet of Vehicles technology and predictive functions can help ensure driving safety and avoid delays caused by untimely management of battery cell temperature and remaining power. Mathematical modeling and heuristic techniques can also be employed to minimize maintenance costs and optimize repair agency assignments.
How can autonomous vehicles be best integrated with public transportation systems to improve efficiency and reduce congestion?5 answersAutonomous vehicles can be integrated with public transportation systems to improve efficiency and reduce congestion. By using shared autonomous vehicles (AVs) as an on-demand alternative to fixed-route buses for last-mile travel, the service quality and energy efficiency in the last-mile mobility can be improved. Additionally, a reinforcement-learning (RL)-based method can be used for behavior decision-making in autonomous vehicles, optimizing driving safety, efficiency, and occupant comfort. Furthermore, centralized intersection control for autonomous vehicles can be implemented using Model Predictive Control (MPC) methods, reducing traveling times and improving traffic flow while ensuring passenger safety. The integration of connected and automated vehicles (CAVs) with public transportation systems can also enhance powertrain performance, monitor transportation network conditions, and make better decisions for improving safety and transportation efficiency.
Does people need mobile applicaation for public bus transportation?5 answersMobile applications for public bus transportation are necessary to provide real-time information about bus schedules, locations, and passenger counts. These applications help users plan their journeys more efficiently and avoid wasting time waiting for buses that may be delayed or canceled. They also improve the reliability and trustworthiness of the public transport system, increasing passenger satisfaction. Additionally, mobile applications can be designed to work offline, allowing users to monitor their bus journey and reach their desired bus stop without internet connectivity. In the current era of Information and Communication Technologies, mobile applications play a crucial role in integrating new technologies into everyday life, making public transport more attractive to passengers.
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 transit buses be improved to better meet the needs of travelers?5 answersTransit buses can be improved to better meet the needs of travelers through various approaches. One approach is to use deep learning techniques to predict bus operation and dynamically adjust bus departure times, which can improve service quality. Another approach is to study the dynamic behavior of buses and determine the natural frequencies spectrum variation, considering factors such as flexible suspension and external loads like wind gusts. Additionally, a cellular automata model can be used to study bus flow in Bus Rapid Transit (BRT) systems, taking into account bus interactions and physical arrangements of bus stops at stations. Furthermore, the planning of bus networks can be automated using deep reinforcement learning, which can optimize route planning and frequency setting based on given demand. These approaches aim to enhance the quality of bus service, including factors such as crowdedness, transit time, coverage, and directness, to better meet the needs of travelers.