F transportation and logistics systems and activities are the lifeblood of human society and modern economies. The goal and challenge of the organizations setting up and operating these complex systems is to simultaneously achieve the highest levels of operation efficiency, customer satisfaction, economic profitability, and market competitiveness. This is increasingly compounded by the social challenge of reducing the energy consumption, environmental footprint, and, particularly in cities, the impact of transportation and logistics operations on congestion and the quality of life of the people. An intense, rich and ever growing operations research and transportation science research field is answering these challenges, yielding contributions of significant scientific and practical importance. The series of ODYSSEUS International Workshops on Freight Transportation and Logistics has emerged as one of the foremost scientific forums for this research field. The fifth workshop, which took place in May 2012 in Mykonos, Greece, ignited the interest to call upon the scientific community for a special issue of Transportation Science on the topic. The call has been answered enthusiastically. Following a thorough refereeing process, we selected a first group of 11 papers making up this issue. A second group will appear later this year. The selected papers present original, cutting-edge contributions illustrating, through methodological developments and innovative, insight-provoking applications, the diversity and richness of problems encountered in the modeling, planning, and management of freight transportation and logistics systems. A number of trends are noticeable, in particular, proposing integrated models that provide the means to address simultaneously issues traditionally associated to different levels of planning; increasing the level of modeling detail of system components and operations within network-wide problem formulations; explicitly considering the uncertainty inherent in most decision-making and operational processes and exploring methods to efficiently address the resulting formulations; and proposing new system and service designs, particularly for operations within cities. Algorithmic developments enrich the selected papers, proving efficient means to address the particular problems at hand, as well as stimulating insights for further work. Exact and meta-heuristic solution principles are to be found, of course, but the trend of successfully mixing the two is also strongly noticeable. The first group of three papers addresses various issues related to the planning of operations and the management of the fleet of intercity freight carriers. The first paper in the group by Bouzaiene-Ayari, Cheng, Das, Fiorillo, and Powell addresses the locomotive-optimization problem for railroads. The authors present, using a unified notation, a series of models capturing different levels of detail and complexity in operations and in the attributes and status of locomotives. The most realistic formulations involve multiple commodities and attributes and represent the impact of several main sources of uncertainty. This portfolio of integerprogramming models, two of which are in production at a major U.S. railroad, aims to address the problem at strategic and tactical-operational levels. A well-known mixed-integer commercial solver and an adaptive dynamic programming algorithm are used, their comparison on real instances offering insightful conclusions on addressing large, multiattribute, time-dependent, stochastic fleet management problems. The paper has won the 2015 Best Paper Award of the Transportation Science & Logistics Society of INFORMS. The second paper, by Pantuso, Fagerholt, and Wallace, addresses the strategic fleet renewal problem within the context of maritime transportation. The objective is “simple,” satisfy demand at minimum cost, but the problem is complex as decisions involve not only the number and type of vessels to add to the fleet or dispose of over time but also how the additions and disposals should be performed, e.g., should the firm buy new vessels, or buy on the second-hand market, or should it lease? Decisions must be taken under uncertainty