In recent years, there has been increased interest in the use of bus IC card data to analyze
bus transit time characteristics, and the prediction is no longer confined to rail traffic …

Individual travel prediction is very important for the construction of intelligent urban
transportation systems. Previous studies mainly focus on the improvement of algorithms, but …

Smart card automatic fare collection (AFC) has increasingly become popular as they provide
an efficient fare management. In most cities of China, the transit systems have separate AVL …

This paper analyzes the time-varying patterns of urban bus passenger flow and predicts
future short-term bus passenger flow, which helps public transport managers to predict bus …

This study analyzed the travel patterns of the elderly using the transit smart card data for
Seoul. The city of Seoul introduced a smart–card-based transit fare scheme in 2004 and …

To improve the service quality and convenience of bus travel services, this paper proposes
the Intelligent Bus Travel Service Model (IBTSM). The IBTSM makes it possible to provide a …

Urban public transit has been rapidly developed in recent years. However, given increases
in travel volume, the level of service still needs to be improved to meet the satisfaction of …

When new rail stations or lines are planned, long-term planning for decades to come is
required. The short-term passenger flow prediction is no longer of practical significance, as it …

With the increase of the residents' commuting distance, the demand of the long-distance bus
transit rises rapidly. The fluctuation of the passenger flow along the long-distance bus line …

Precise prediction of urban rail transit passenger flow is essential for the development of
organizing plans by the rail transit management and operation department, and also is the …