This study proposes a framework for human-like autonomous car-following planning based
on deep reinforcement learning (deep RL). Historical driving data are fed into a simulation …

By integrating the information contained in multiple images of the same scene into one
composite image, pixel-level image fusion is recognized as having high significance in a variety …

Traffic crash statistics and previous research have shown an increased risk of traffic crashes
at signalized intersections. How to diagnose safety problems and develop effective …

The Industrial Internet of Things (IIoT) has developed rapidly in recent years. Private blockchains
with decentralization, flexible rules, and good privacy protection can be applied in the …

Background: It is generally appreciated that gestational diabetes is a risk factor for type 2
diabetes. However, the precise relation between these 2 conditions remains unknown. We …

Locusts are one of the world’s most destructive agricultural pests and represent a useful
model system in entomology. Here we present a draft 6.5 Gb genome sequence of Locusta …

Context Coronary heart disease (CHD) mortality has declined substantially in Canada since
1994. Objective To determine what proportion of this decline was associated with temporal …

Background— Hospital readmissions for heart failure (HF) contribute to increased morbidity
and resource burden. Predictors of hospitalization and patterns of cardiovascular events …

In this study, the generalized estimating equations with the negative binomial link function
were used to model rear-end crash frequencies at signalized intersections to account for the …

Intersections in close spatial proximity along a corridor should be considered as correlated
due to interacted traffic flows as well as similar road design and environmental characteristics…