Autonomous decision making and motion planning in complex dynamic traffic environments,
such as left-turn without traffic signals and multi-lane merging from side-ways, are still …

Before autonomous vehicles are widely spread, they will share the roads with non-
autonomous cars. Furthermore, to ensure functional safety of the self-driving cars, the cause …

Motion control algorithms in the presence of pedestrians are critical for the development of
safe and reliable Autonomous Vehicles (AVs). Traditional motion control algorithms rely on …

Social development and technological advances have enabled the Internet of Vehicles (IoV)
to combine the social factors to form a new intelligent transportation system: Social IoV …

Accurately identifying the driving threat could greatly improve the driving safety for
autonomous vehicles in the mixed traffic, where the human-driven and driverless, as well as …

Human errors contribute to 94%(±2.2%) of road crashes resulting in fatal/non-fatal
causalities, vehicle damages and a predicament in the pathway to safer road systems …

This paper proposes a two-stage trajectory planning method for self-driving vehicles (SDVs)
in intersection scenarios with uncertain social circumstances while considering other traffic …

On 27 June 2018, the International Parallel Driving Alliance (iPDA) inaugural conference
was held in Changshu, China. The iPDA consists of 24 well-known institutions, eg, the …

“Socially cooperative driving” is an integral part of our everyday driving, hence requiring
special attention to imbue the autonomous driving with a more natural driving behavior. In …

This paper has proposed an electric vehicle (EV) route selection and charging navigation
optimization model, aiming to reduce EV users' travel costs and improve the load level of the …