Understanding and predicting trends in urban freight transport

Among different components of urban mobility, urban freight transport is usually considered as the least sustainable. Limited traffic infrastructures and increasing demands in dense urban regions lead to frequent delivery runs with smaller freight vehicles. This increases the traffic in urban areas and has negative impacts upon the quality of life in urban populations. Data driven optimizations are essential to better utilize existing urban transport infrastructures and to reduce the negative effects of freight deliveries for the cities. However, there is limited work and data driven research on urban delivery areas and freight transportation networks. In this paper, we collect and analyse data on urban freight deliveries and parking areas towards an optimized urban freight transportation system. Using a new check-in based mobile parking system for freight vehicles, we aim to understand and optimize freight distribution processes. We explore the relationship between areas' availability patterns and underlying traffic behaviour in order to understand the trends in urban freight transport. By applying the detected patterns we predict the availabilities of loading/unloading areas, and thus open up new possibilities for delivery route planning and better managing of freight transport infrastructures. © 2017 IEEE

Big Data Pipelines on the Computing Continuum: Ecosystem and Use Cases Overview

Organisations possess and continuously generate huge amounts of static and stream data, especially with the proliferation of Internet of Things technologies. Collected but unused data, i.e., Dark Data, mean loss in value creation potential. In this respect, the concept of Computing Continuum extends the traditional more centralised Cloud Computing paradigm with Fog and Edge Computing in order to ensure low latency pre-processing and filtering close to the data sources. However, there are still major challenges to be addressed, in particular related to management of various phases of Big Data processing on the Computing Continuum. In this paper, we set forth an ecosystem for Big Data pipelines in the Computing Continuum and introduce five relevant real-life example use cases in the context of the proposed ecosystem

Designing Security Requirements Models through Planning

The quest for designing secure and trusted software has led to refined Software Engineering methodologies that rely on tools to support the design process. Automated reasoning mechanisms for requirements and software verification are by now a well-accepted part of the design process, and model driven architectures support the automation of the refinement process. We claim that we can further push the envelope towards the automatic exploration and selection among design alternatives and show that this is concretely possible for Secure Tropos, a requirements engineering methodology that addresses security and trust concerns. In Secure Tropos, a design consists of a network of actors (agents, positions or roles) with delegation/permission dependencies among them. Accordingly, the generation of design alternatives can be accomplished by a planner which is given as input a set of actors and goals and generates alternative multiagent plans to fulfill all given goals.We validate our claim with a case study using a state-of-the-art planner

CIGO! Mobility management platform for growing efficient and balanced smart city ecosystem

The massive amount of tourists, citizens and traffic in big cities usually collapse busy areas causing transport inefficiency, unbalanced economic growth, crime, and nuisance among citizens and visitors. Therefore, the Smart City strategies such as Smart Mobility and Smart Governance naturally arise as means to improve mobility in urban areas. In this paper we propose a novel mobility management platform and business model that can attract numerous actors and still be orchestrated by the city government. The proposed platform integrates mobility data from various sources such as Open Data, mobile applications, sensors and government data, allowing for its visualisation and analysis while making it actionable through associated third party mobile applications. We propose to inject the city mobility policies to the third party mobile applications which provide services related to the city resources. In this way we form a value chain which connects different actors (city governments, mobile application providers, POI owners, companies that require logistics in cities, and final users) who both take a part in improving the mobility in urban areas, and benefit from the way mobility policies being executed. In this paper we discuss the business model and logical architecture of the proposed platform which has been already deployed in the city of Barcelona.Peer ReviewedPostprint (published version

CIGO! Mobility management platform for growing efficient and balanced smart city ecosystem

The massive amount of tourists, citizens and traffic in big cities usually collapse busy areas causing transport inefficiency, unbalanced economic growth, crime, and nuisance among citizens and visitors. Therefore, the Smart City strategies such as Smart Mobility and Smart Governance naturally arise as means to improve mobility in urban areas. In this paper we propose a novel mobility management platform and business model that can attract numerous actors and still be orchestrated by the city government. The proposed platform integrates mobility data from various sources such as Open Data, mobile applications, sensors and government data, allowing for its visualisation and analysis while making it actionable through associated third party mobile applications. We propose to inject the city mobility policies to the third party mobile applications which provide services related to the city resources. In this way we form a value chain which connects different actors (city governments, mobile application providers, POI owners, companies that require logistics in cities, and final users) who both take a part in improving the mobility in urban areas, and benefit from the way mobility policies being executed. In this paper we discuss the business model and logical architecture of the proposed platform which has been already deployed in the city of Barcelona.Peer Reviewe