On-demand shared mobility is increasingly being promoted as an influential strategy to
address urban transport challenges in large and fast-growing cities. The appeal of this form …

Machine learning (ML) and deep learning (DL) have become very popular in the research
community for addressing complex issues in intelligent transportation. This has resulted in …

Bike sharing systems continue gaining worldwide popularity as they offer benefits on various
levels, from society to environment. Given that those systems tend to be unbalanced along …

Accurate transfer demand prediction at bike stations is the key to develop balancing
solutions to address the overutilization or underutilization problem often occurring in bike …

Electric vehicles may reduce greenhouse gas emissions from individual mobility. Due to the
long charging times, accurate planning is necessary, for which the availability of charging …

Bicycle-sharing is an eco-friendly transportation operating model in the context of “Internet
Plus” and the sharing economy. It not only meets the short-distance travel needs of residents …

Due to the rapid development of the sharing economy, shared bikes have become one of
the most popular and convenient traveling tools in intelligent transport systems. Aiming to …

Massive bike-sharing systems (BSS) usage and performance data have been collected for
years over various locations. Nevertheless, researchers encountered several challenges …

In shared bike-and-ride transit systems, commuters use shared bicycles for last-mile
transport between transit stations and home, and between transit stations and work …

With the popularity of green travel and the aggravation of traffic congestion, Bike Sharing
System (BSS) is adopted increasingly in many countries nowadays. However, the BSS is …