Freight rail transport plays key role in the transition to sustainable development. However, on European mainlines, freight trains have cope with busy passenger operation—mostly form of (integrated) periodic timetables. are characterized very diverse parameters, so scheduling pre-arranged train paths (PFTPs) basis one sample does not meet needs most operators. This article introduces new detail...

Platooning of connected and autonomous vehicles (CAVs) has a significant potential for throughput improvement. However, the interaction between CAVs non-CAVs may limit practically attainable improvement due to platooning. To better understand address this limitation, we introduce new fluid model mixed-autonomy traffic flow use analyze design platoon coordination strategies. We propose tandem-li...

Cooperative control of connected and automated vehicles (CAVs) promises smoother traffic flow. In mixed traffic, where human-driven with unknown dynamics coexist, data-driven predictive techniques allow for CAV safe optimal measurable data. However, the centralized setting in most existing strategies limits their scalability large-scale To address this problem, paper proposes a cooperative DeeP...

Distributed computing networks, tasked with both packet transmission and processing, require the joint optimization of communication computation resources. We develop a dynamic control policy that determines routes processing locations for packets upon their arrival at distributed network. The proposed policy, referred to as Universal Computing Network Control (UCNC), guarantees i) are processe...