Abstract
Urban mobility systems often surpass the political-administrative boundaries of local governments. Commuting dynamics are a key variable to establish the functional scope of an urban area. Yet, most sustainable urban mobility plans are being developed by and for municipalities. There are still few experiences at the metropolitan scale. There are even fewer studies about these experiences. Our work addrebes this gap. Using purposeful sampling and qualitative content analysis, we examined documents from supranational organizations and metropolitan cases. We argue that a better understanding of the collaborative tools being promoted for and used by metropolitan areas can be used to better inform policy transfer and learning in transportation. We conclude with considerations for future research on the topic. © 2023 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0)

Abstract
Resumo:Com este estudo apresenta-se uma nova perspectiva tridimensional do Castelo Velho de Safara (Moura), um dos grandes povoados muralhados da Idade do Ferro/período Romano Republicano existentes na linha do Rio Guadiana, criada a partir de um levantamento de alta resolução realizado com sensor LiDAR acoplado a um drone. O resultado obtido permitiu a definição detalhada da planta da muralha, o que implicou a revisão da superfície de ocupação, que agora é estimada em cerca de 1.36 hectares. Foram também identificados vários elementos inéditos, como a zona da entrada e eventuais soluções de reforço defensivo. Os dados obtidos para o Castelo Velho de Safara demonstram o potencial dos dados LiDAR para o reconhecimento das características topográficas deste tipo de recintos fortificados, cuja visibilidade das estruturas nem sempre é possível a olho nu.Palavras-chave: Idade do Ferro; Período Romano Republicano; Estruturas defensivas; Drone; LiDAR.   Abstract:This study presents a new tridimensional perspective on Castelo Velho de Safara (Moura), one of the great walled settlements of the Iron Age/Roman Republic by the Guadiana River, obtained through a high-resolution survey using a drone integrated with a LiDAR sensor. The outline of the walls was defined in more detail, which meant revising the occupation area, now estimated at circa 1.36 hectares. Several unknown elements were detected, such as the entrance area and other possible defensive structures. The data obtained for the Castelo Velho de Safara demonstrate the potential of LiDAR for understanding the topographical characteristics of this type of fortified enclosure, whose structural remains are not always clear to the naked eye.Keywords: Iron Age; Roman Republic; Defensive structures; Drone; LiDAR; Odyssey.

Abstract
[No abstract available]

Abstract
This paper presents the integration of multimodal sensor systems for an autonomous forestry machine. The utilized technology is housed in a single enclosure which consolidates a set of components responsible for executing machine control actions and comprehending its behavior in various scenarios. This sensor box, named Sentry, will subsequently be connected to a forestry machine from MDB, model LV600 PRO. The article outlines previous work in this field and then details the integration and operation of the equipment, integrated into the forest machine, providing descriptions of the adopted architecture at both the hardware and software levels. The gathered data enables the assessment of the forestry machine's orientation and position based on the information collected by the sensors. Finally, practical experiments are presented to demonstrate the system's behavior and to analyze the methods to be employed for autonomous navigation, thereby assessing the performance of the established architecture. The novel aspects of this work include the physical and digital integration of a multimodal sensor system on a forestry machine, its use in a real case scenario, namely, forest vegetation removal, and the strategies adopted to improve the machine localization and navigation performance on unstructured environments.

Abstract
The EUniversal project, funded by the European Union, aims to establish a universal approach to the utilization of flexibility by Distribution System Operators (DSOs) and their engagement with new flexibility markets. To achieve this objective, the project team has focused on developing the Universal Market Enabling Interface (UMEI) concept. This paper presents an overview of the process of adapting grid core systems to interact with different market platforms and agents, which is a key aspect of the real-world demonstration set to take place in Portugal. © The Institution of Engineering and Technology 2023.

Abstract
This paper addresses the joint scheduling of production operations, transport tasks, and storage/retrieval activities in flexible job shop systems where the production operations and transport tasks can be done by one of the several resources available. Jobs need to be retrieved from storage and delivered to a load/unload area, from there, they are transported to and between the machines where their operations are processed on. Once all operations of a job are processed, the job is taken back to the load/unload area and then returned to the storage cell. Therefore, the problem under study requires, concurrently, solving job routing, machine scheduling, transport allocation, vehicle scheduling, and shuttle schedule. To this end, we propose a hybrid biased random-key genetic algorithm (BRKGA) in which the mutation operator resorts to six local search heuristics. The computational experiments conducted on a set of benchmark instances show the effectiveness of the proposed mutation operator.