Autonomous driving technology pledges safety, convenience, and energy efficiency. Its
challenges include the unknown intentions of other road users: communication between …

Life-cycle management of road network projects traditionally emphasise material production
and construction stages, with less attention given to usage stage and functionality …

When planning routes, drivers usually consider a multitude of different travel costs, eg,
distances, travel times, and fuel consumption. Different drivers may choose different routes …

The classical K Shortest Paths (KSP) problem, which identifies the k shortest paths in a
directed graph, plays an important role in many application domains, such as providing …

Human–machine interactions (HMIs) describe how humans engage various systems,
including those that are smart, autonomous, or both. Most HMIs either allow the human to …

Different uses of a road network call for the consideration of different travel costs: in route
planning, travel time and distance are typically considered, and green house gas (GHG) …

Road transportation is one of the major sources of greenhouse gas emissions. To reduce
energy consumption and alleviate this environmental problem, this study aims to develop an …

With the growing volumes of vehicle trajectory data, it becomes increasingly possible to
capture time-varying and uncertain travel costs, eg, travel time, in a road network. The …

There are interdependent increases in vehicle numbers, vehicular traffic congestion, and
carbon emissions that cause major problems worldwide. These problems include direct …

As road transportation energy use and environmental impact are globally rising at an
alarming pace, authorities seek in research and technological advancement innovative …