To effectively manage and control public transport operations, understanding the various
factors that impact bus arrival delays is crucial. However, limited research has focused on a …

This study focuses on developing and evaluating predictive models for bus travel times
adaptable to any transit network, or to new roadway segments without prior travel time data …

In current research of complex system health assessment with evidential reasoning (ER)
rule, the relationship between the indicators reference grades and pre-defined assessment …

Abstract The Internet of Things (IoT) helps establish massive viewpoints and complicated yet
functional operational systems. IoT can strengthen the entire supply chain. However, due to …

With the diversification and individuation of user requirements as well as the rapid
development of computing technology, the large‐scale tasks processing for big data in edge …

In Wireless Sensor Networks (WSNs), location technology is crucial for information sensing
and processing. However, due to cost constraints, most sensor nodes are unable to obtain …

Research on public service facility evaluation has mainly focused on spatial accessibility
and facility quality from a supply perspective, but has rarely focused on the evaluation of …

In view of the fact that the current methods cannot effectively and correctly control the
invested costs and risk of social governance, resulting in a higher risk rate in the invested …

Encouraging the use of public transport is essential to combat congestion and pollution in an
urban environment. To achieve this, the reliability of arrival time prediction should be …

Liquefied Natural Gas (LNG) is a clean, efficient, and economic energy, which is mainly
transported by LNG carriers in the marine industry. Massive storage of LNG has led to public …