Passenger travel flows of urban rail transit during holidays usually show distinct
characteristics different from normal days. To ensure efficient operation management, it is …

Based on the real data collected from the bus IC card payment devices, first a time series
plot on the daily passenger volume was obtained and then three kinds of time series models …

The bus passenger trip flow is the base data for transit route design and optimization, and
the characteristic of urban land use is the important factor for transit trip. However, the …

Bus arrival times are influenced by stochastic variations in number of factors,(eg, intersection
delays, traffic congestion, and weather conditions) resulting in buses to deviate from the …

Bus arrival time is usually estimated using the boarding time of the first passenger at each
station. However, boarding time data are not recorded in certain double-ticket smart card …

Passenger flow is the basis for bus operation scheduling. Huge advances are being made to
develop smart city traffic using big data. Intelligent bus systems based on bus integrated …

To address the increasing passenger demand in the coming years and make public
transport less crowded and delayed, insights into predicted passenger flow are needed. A …

Artificial intelligence has become a hot topic in the past couple of years because of its
potential of solving problems. The most used subset of artificial intelligence today is machine …

With the increasing demographic shift towards a larger population of elderly, it is essential
for policy makers and planners to have an understanding of travel characteristics of elderly …

To explore the relevance between bus stops and make the real‐time prediction of bus
passenger flow more accurate, this paper proposes a Traffic Forecast Model based on the …