The growth in the short sea shipping sector motivated the development of a methodology used as a decision support tool in which both the parameters regarding the demand of markets and the characteristics of the fleet may be tested and appraised. It is also possible to determine the fleet deployment, establishing its routes and scales in the ports for a particular scenario. The considered method...

1 We consider the operation of automated mobility-on-demand systems, whereby users share access to a fleet 2 of self-driving vehicles. In these systems, rebalancing, the process by which the supply of empty vehicles is 3 periodically realigned with the demand for transport, is carried out by a fleet operator. Where much of the 4 rebalancing literature skews to the theoretical or simulation-base...

Title of Dissertation / Thesis: PERFORMANCE AND ANALYSIS OF SPOT TRUCK-LOAD PROCUREMENT MARKETS USING SEQUENTIAL AUCTIONS Miguel Andres Figliozzi, Ph.D., 2004 Dissertation / Thesis Directed By: Professor Hani Mahmassani, Civil and Environmental Engineering Department Competition in a transportation marketplace is studied under different supply/demand conditions, auction formats, and carriers’ b...

Industrial tuna fisheries operate in the Indian, Atlantic and Pacific Oceans, but concerns over sustainability and environmental impacts of these fisheries have resulted in increased scrutiny of how they are managed. An important but often overlooked factor in the success or failure of tuna fisheries management is the behaviour of fishers and fishing fleets. Uncertainty in how a fishing fleet w...

This paper presents a decision support system (DSS) for determining the optimal fleet of vessels and helicopters to support maintenance operations at offshore wind farms. This vessel fleet is used to transport maintenance technicians and spare parts to and from the wind farm, and to execute lifts of heavy parts onto the turbines. The cost of the vessel fleet constitutes a major part of the main...

Tug fleet optimisation algorithms can be designed to solve the problem of dynamically positioning a fleet of tugs in order to mitigate the risk of oil tanker drifting accidents. In this paper, we define the tug fleet optimisation problem and present the details of a receding horizon genetic algorithm for solving it. The algorithm can be configured with a set of cost functions such that each con...