Transportation has become one of the fastest-growing fields for greenhouse gas emissions.
It is important to promote the coordinated development of cities and transportation. To …

Most traffic control systems are centralized, where all the collected data can be analyzed to
make a decision. However, there are problems with computational complexity and, more …

A novel computational model for the volatile state was developed to improve eco-driving in
intelligent transportation systems (ITS). First, the volatile state was divided into eight types …

It has been well-recognized that driving behaviors significantly impact the fuel consumption
of vehicles. To explore how well deep learning methods can predict fuel consumption …

Precise emission estimation of vehicle exhausts is crucial to urban traffic pollution
prevention and control. Existing methods utilize the widely distributed and large number of …

One of the major contributors of human-made greenhouse gases (GHG) namely carbon
dioxide (CO 2), methane (CH 4), and nitrous oxide (NO X) in the transportation sector and …

Vehicle platooning, a coordinated and controlled vehicle-following strategy, addresses the
issue of high fuel consumption of heavy-duty vehicles. This research considers platoons that …

The eco-toll estimation problem quantifies the expected environmental cost (eg, energy
consumption, exhaust emissions) for a vehicle to travel along a path. This problem is …

A spatial-dependent robust control strategy is proposed for the on-ramp merging problem
based on the coordination of the connected and automated vehicles. In the proposed …

Finding parking spots in urban areas poses significant challenges due to the ever increasing
complexities of the transportation endeavor, resulting in issues like traffic jams, higher fuel …