The purpose of this paper is to provide a summary of a quick overview of the latest
developments and unprecedented opportunities for scholars who want to set foot in the field …

Traffic flow prediction with high accuracy is definitely considered as one of most important
parts in the Intelligent Transportation Systems. As interfering by some external factors, the …

The effect of aggressive driving behavior on driver's injury severity is analyzed by
considering a comprehensive set of variables at highway‐rail grade crossings in the US. In …

With the development of information technique and wireless communication, a vast number
of taxis' and ride-sharing cars' trajectory data that provide a rich and detailed source to study …

The problem that passengers are hard to take taxis while empty driving rate is high widely
exists under the traditional taxi operation mode. The implementation of taxi carpooling mode …

How to identify critical nodes in metro networks is still an open and vital topic in complex
networks, which has been a key issue in analyzing the structural organization of a network …

This study presents a model system for trip destination prediction with multi-day GPS data.
The pre-trip destination prediction model and the during-trip destination prediction model …

Mobile trajectory big data, such as global positioning system (GPS) trajectories of taxicabs,
have enormous social and economic values in intelligent transportation systems, and …

Public transportation agencies are one of the industries that generate a large volume of data
on a high frequency and velocity basis. The General Transit Feed Specification (GTFS) is …

Without accounting for the signalized intersection constraints in the design of adaptive cruise
control (ACC) system, the ACC-equipped connected vehicle (CV) traveling on signalized …