The Vehicle Scheduling Problem (VSP) is a traditional problem in public transport. One of the main assumptions is that buses can be operated the whole day without any interruption for refueling etc. Recently, new technological innovations have led to the introduction of electric vehicles. For these new vehicles, we cannot ignore the need of refueling during the day, as the range of an electric ...

All studies of peer-to-peer (henceforth abbreviated as P2P) satellite refueling so far assume that all active satellites return back to their original orbital positions after undergoing fuel exchanges with the passive satellites. In this paper, we remove this restriction on the active satellites, namely, we allow the active satellites to interchange orbital slots during the return trips. We for...

This paper presents three heuristic algorithms that solve for the optimal locations for refueling stations for alternative-fuels, such as hydrogen, ethanol, biodiesel, natural gas, or electricity. The Flow Refueling Location Model (FRLM) locates refueling stations to maximize the flow that can be refueled with a given number of facilities. The FRLM uses path-based demands, and because of the li...

Managing shipping vessel profitability is a central problem in marine transportation. We consider two commonly used types of vessels—“liners” (ships whose routes are fixed in advance) and “trampers” (ships for which future route components are selected based on available shipping jobs)—and formulate a vessel profit maximization problem as a stochastic dynamic program. For liner vessels, the pro...

| This paper deals with the application of evolutionary algorithms to refueling of pressurized water reactors. We describe the optimization problem in detail and derive an appropriate goal function for the problem. After characterizing how the designers tackle this problem today we apply an evolutionary algorithm to nd promising solutions. Due of the discrete nature of the problem a special evo...

Abstract The traveling salesman problem (TSP) is one of the best-known combinatorial optimization problems. Many methods derived from TSP have been applied to study autonomous vehicle route planning with fuel constraints. Nevertheless, less attention has paid reinforcement learning (RL) as a potential method solve refueling This paper employs RL With (TSPWR). technique proposes model (actions, ...

Estimation Algorithm for Autonomous Aerial Refueling Using a Vision Based Relative Navigation System. (August 2005) Roshawn Elizabeth Bowers, B.S., Texas A&M University Chair of Advisory Committee: Dr. John Valasek A new impetus to develop autonomous aerial refueling has arisen out of the growing demand to expand the capabilities of unmanned aerial vehicles (UAVs). With autonomous aerial refuel...

Atmospheric benzene, toluene, ethylbenzene, and xylenes (BTEX) can lead to multiple health injuries. However, what remains uncertain is the effect of long-term exposure to low levels of BTEX. Thus, we determined the BTEX levels in the air from the refueling and office areas in gas stations. Then we collected workers' (200 refueling vs. 52 office workers) peripheral blood samples to analyze the ...