Recent work has shown that the introduction of autonomous vehicles (AVs) in traffic could help reduce jams. Deep reinforcement learning methods demonstrate good performance complex control problems, including vehicle control, and have been used state-of-the-art AV controllers. However, deep neural networks (DNNs) render automated driving vulnerable to machine learning-based attacks. In this wor...

Infrared Data Association has developed the Advanced Infrared (AIr) protocol standard for infrared wireless LANs. AIr employs a Go-Back-N automatic repeat request (ARQ) scheme at the Link Control layer to deal with transmission errors. Alternatively, an optional Stop-and-Wait ARQ scheme at the Medium Access Control (MAC) layer may be employed. The effectiveness of employing the optional Stopand...

In this paper, a family of multi-value cellular automaton (CA) associated with traffic flow is presented. The family is obtained by extending the rule–184 CA, which is an ultradiscrete analogue to the Burgers equation. CA models in the family show both metastable states and stop-and-go waves, which are often observed in real traffic flow. Metastable states in the models exist not only on a prom...

Traffic jam often occurs around the signalized intersection because each takes “stop-and-go cost” to pass through the intersection. Hence, traffic signal control has significant meanings in reducing the traffic jams efficiently. A modification method of traffic signal control management based on self-organizing is introduced. The self-organizing observed in non-linier coupled oscillators is ref...

The work reported here presents a methodology based on a two-fluid model to assess the degree of influence of various geometric and control features of an urban network on the quality of traffic service. The two-fluid model gives a curvilinear relation between the trip time and stop time per unit distance and its parameters characterize the quality of traffic service in urban networks. Any Chan...

Impurities control the formation of bio-crystals and can fully paralyze crystal growth at low levels supersaturation. Traditional impurity models predict that an escape from this so-called “dead zone” requires increase in driving force (i.e. supersaturation). In work, using protein crystals as a model system, we uncover alternative route dead zone does not involve We demonstrate merger cluster ...