Current research and development in recognizing and predicting driving behaviors plays an
important role in the development of Advanced Driver Assistance Systems (ADAS). For this …

In order to drive safely and efficiently on public roads, autonomous vehicles will have to
understand the intentions of surrounding vehicles, and adapt their own behavior …

Abstract Lane-changing (LC), which is one of the basic driving behavior, largely impacts on
traffic efficiency and safety. Modeling an LC process is challenging due to the complexity …

Lane changing maneuver is one of the most important driving behaviors. Unreasonable lane
changes can cause serious collisions and consequent traffic delays. High precision …

For safe and reliable autonomous driving systems, prediction of surrounding vehicles' future
behavior and potential risks are critical. The state-of-the-art prediction algorithms tend to …

Human-machine shared control has become an effective cutting-edge approach to enhance
driving safety and assist in the transition from manual to autonomous driving. However …

Lane changing behavior generally expresses uncertainty due to the impact of environmental
factors, and unreasonable lane changes can cause serious collisions. High precision …

Lane changing has a significant impact on traffic flow characteristics and potentially reduces
traffic safety. However, literature relating to lane changing is not comprehensive, largely …

Understanding the spatiotemporal dynamics of urban population is crucial for addressing a
wide range of urban planning and management issues. Aggregated geospatial big data …

Integrating both traditional and social media data, this study compares the performance of
gravity, neural network, and random forest models of commuting trip distribution in New York …