Safety assessment of road sections and networks have historically relied on police-reported
crash data. These data have several noteworthy and significant shortcomings, including …

Connected and automated vehicles (CAVs), in the context of cooperative intelligent
transportation systems (C-ITS), are capable of exchanging information with each other and …

In this paper, we proposed a new risk assessment based decision-making algorithm to
guarantee collision avoidance in multi-scenarios for autonomous vehicles. A probabilistic …

With the growth of the shipping trade, inland water traffic is getting more prosperous than
ever. Meanwhile, the shipping risk in inland rivers increases gradually. In this paper, a path …

Potential fields have been integrated with local path-planning algorithms for autonomous
vehicles (AVs) to tackle challenging scenarios with dense and dynamic obstacles. Most …

This paper proposes a new dynamic driving risk potential field model under the connected
and automated vehicles environment that fully considers the dynamic effect of the vehicle's …

This paper proposes a fuzzy logic-based intelligent decision-making approach for
navigation strategy selection in the inland traffic separation scheme. The dynamic …

There has been an increasing focus on the development of automation in vehicles due its
many potential benefits like safety, improved traffic efficiency, reduced emissions etc. One of …

In order to adequately characterize the driving risks that vehicles face during the lane
change process and ensure that vehicles perform safer lane change decisions, a vehicle …

This paper presents a shared control driver assistance system based on the driving intention
identification and situation assessment to avoid obstacles. A constrained linear-time-varying …