As modern vehicles are capable to connect to an external infrastructure and Vehicle-to-
Everything (V2X) communication technologies mature, the necessity to secure …

Over the past decades there has been a considerable development in the modeling of car-
following (CF) behavior as a result of research undertaken by both traffic engineers and …

Interest in autonomous driving (AD) and intelligent vehicles (IVs) is growing at a rapid pace
due to the convenience, safety, and economic benefits. Although a number of surveys have …

Latest technological improvements increased the quality of transportation. New data-driven
approaches bring out a new research direction for all control-based systems, eg, in …

Academic research in the field of autonomous vehicles has reached high popularity in
recent years related to several topics as sensor technologies, V2X communications, safety …

Traffic signal control is an emerging application scenario for reinforcement learning. Besides
being as an important problem that affects people's daily life in commuting, traffic signal …

Although car-following behavior is the core component of microscopic traffic simulation,
intelligent transportation systems, and advanced driver assistance systems, the adequacy of …

Flow is a new computational framework, built to support a key need triggered by the rapid
growth of autonomy in ground traffic: controllers for autonomous vehicles in the presence of …

The growing size of cities and increasing population mobility have determined a rapid
increase in the number of vehicles on the roads, which has resulted in many challenges for …

Internal and external circumstances affect a vehicles' fuel consumption. Various studies
reviewed internal combustion engine vehicles (ICEVs) energy consumption. While Battery …