With the rapid development and popularization of mobile and wireless communication
technologies, ridesourcing companies have been able to leverage internet-based platforms …

This paper discusses the recent insights on the Big Data role in the sustainability of smart
mobility. Systematic Literature Review is applied to scientific publications web repositories …

Short-term passenger demand forecasting is of great importance to the on-demand ride
service platform, which can incentivize vacant cars moving from over-supply regions to over …

Predicting taxi demand throughout a city can help to organize the taxi fleet and minimize the
wait-time for passengers and drivers. In this paper, we propose a sequence learning model …

The success of modern ride-sharing platforms crucially depends on the profit of the ride-
sharing fleet operating companies, and how efficiently the resources are managed. Further …

Ride-sourcing services are becoming an increasingly popular transportation mode in cities
all over the world. With real-time information from both drivers and passengers, the ride …

This study analyzed the potentially dangerous driving behaviors of commercial truck drivers
from both macro and micro perspectives. The analysis was based on digital tachograph data …

Accurate taxi demand prediction can solve the congestion problem caused by the supply‐
demand imbalance. However, most taxi demand studies are based on historical taxi …

Electric taxis (e-taxis) have been increasingly deployed in metropolitan cities due to low
operating cost and reduced emissions. Compared to conventional taxis, e-taxis require …

The growth of autonomous vehicles, ridesharing systems, and self-driving technology will
bring a shift in the way ride hailing platforms plan out their services. However, these …