Stop-and-go traffic poses significant challenges to the efficiency and safety of operations. In this study, a cooperative longitudinal control based on Soft Actor Critic (SAC) Reinforcement Learning (RL) is proposed address issue. The reward function carefully designed consider vehicle cooperation achieve three main objectives: safety, efficiency, oscillation dampening. A global performance met...

The stop signal task (SST) is widely used to explore neural processes involved in cognitive control. By randomly intermixing stop and go trials and imposing on participants to respond quickly to the go but not the stop signal, the SST also introduces an indirect element of risk, which participants may avert by slowing down or ignore by responding "as usual," during go trials. This "risk-taking"...

In 5 experiments, the authors examined the development of automatic response inhibition in the go/no-go paradigm and a modified version of the stop-signal paradigm. They hypothesized that automatic response inhibition may develop over practice when stimuli are consistently associated with stopping. All 5 experiments consisted of a training phase and a test phase in which the stimulus mapping wa...

In this paper, a multi-lane multi-population microscopic model, which presents stop and go waves, is proposed to simulate traffic on ring-road. Vehicles are divided between human-driven autonomous vehicles (AV). Control strategies designed with the ultimate goal of using small number AVs (less than 5\% penetration rate) represent Lagrangian control actuators that can smooth multilane flow dissi...

Transcranial magnetic stimulation (TMS) has often been used in conjunction with electroencephalography (EEG), which is effective for the direct demonstration of cortical reactivity and corticocortical connectivity during cognitive tasks through the spatio-temporal pattern of long-latency TMS-evoked potentials (TEPs). However, it remains unclear what pattern is associated with the inhibition of ...

One way to prioritize public transport over private vehicle mobility, is implement curbside rather than layby bus stop designs. There is, however, uncertainty about the consequences of implementing stops for traffic collision risks. To begin investigating this issue, we describe an exploratory analysis in which national data describing stops, road properties, collisions and built-up areas were ...

20 The transportation sector generates a large percentage of local pollutants including hydrocarbons 21 (HC), carbon monoxide (CO), carbon dioxide (CO2), and oxides of nitrogen (NOx). Apart from 22 switching to alternative fuels, various green driving strategies that smooth traffic flow and reduce 23 congestion can be implemented to lower pollutant emissions and fuel consumption. In this paper,...

The ability to stop actions and thoughts is essential for goal-directed behaviour. Neuroimaging research has revealed that stopping actions and thoughts engage similar cortical mechanisms, including the ventro- and dorso-lateral prefrontal cortex. However, whether and how these abilities require similar subcortical mechanisms remains unexplored. Specifically of interest are the basal ganglia, s...

<abstract><p>Traffic waves, known also as stop-and-go waves or phantom jams, appear naturally traffic instabilities, in confined environments a ring-road. A multi-population is studied on ring-road, comprised of drivers with stable and unstable behavior. There exists critical penetration rate vehicles above which the system stable, under unstable. In latter case, appear, provided en...

Palatable foods in the environment can unintentionally trigger reactions to obtain them, which may interfere with dieting attempts. We tested a strategy to facilitate dieting behavior that makes use of behavioral stop signals that should instantly inhibit chronic dieters' responses toward palatable foods. Participants performed a go/no-go task in which go cues and no-go cues (i.e., the behavior...