Optimization design of real-time scheduling scheme for city bus vehicles based on BP neural network

Abstract

Urban public transportation is inseparably related to people’s travel and life. Prioritizing the development of public transportation is a major national policy proposed by the Chinese government, especially to actively promote the development of intelligent public transportation systems. Developing and building advanced intelligent public transport operation and scheduling management system, designing efficient, flexible and low-cost operation and scheduling mode, improving the management level and service quality of public transport enterprises, and thus improving the road traffic condition of the whole city, is undoubtedly the future development direction of public transport enterprises. This paper combines the problems of bus operation and scheduling in China at the present stage, and proposes the operation and scheduling model and method of the intelligent urban public transportation planning system, with a view to realizing a flexible public transportation operation model suitable for different service situations and providing systematic theoretical support for solving the imbalance between supply and demand of public transportation.

Navigating Public Transit: The Nexus of Service Quality and Government Influence

“…Studies have found that the government's role is crucial in enhancing the service quality of public transportation (Prabowo et al, 2019). Governments have also suggested prioritizing the development of public transportation as a major national policy to actively encourage the development of intelligent public transportation systems (Xu et al, 2023). Furthermore, recent laws aim to determine a new division of responsibilities within public administration systems for the planning, implementation, and financing of public transport, emphasizing the importance of government involvement in transportation systems (Augustyn, 2020).…”