Open Access
Enabling customizable services for multimodal smart mobility with city-platforms
(IEEE, 2021) Al-Rahamneh, Anas; Astrain Escola, José Javier; Villadangos Alonso, Jesús; Klaina, Hicham; Picallo Guembe, Imanol; López Iturri, Peio; Falcone Lanas, Francisco; Estatistika, Informatika eta Matematika; Ingeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzaren; Institute of Smart Cities - ISC; Estadística, Informática y Matemáticas; Ingeniería Eléctrica, Electrónica y de Comunicación; Gobierno de Navarra / Nafarroako Gobernua
In the last decades, the cities' capacity for generating digital information has grown exponentially. In this context, the successful implementation of smart cities' concept depends on the current possibility of handling the significant volumes of sensed data. This is particularly notorious in the case of urban mobility. Researchers in the field of urban planning have shown a great interest in urban mobility problems, proposing different route recommendation services towards making it easier and safer to move around the city. This paper addresses the development of an urban data platform and how to obtain and integrate information from sensors and other data sources to provide aggregated and intelligent views of raw data to support urban mobility. With the aim of evaluating the efficiency of the developed platform, we present an intelligent urban mobility solution, where the context-awareness, user preferences, and environmental factors play a significant role in the process of route planning. Finally, our work provides an experiment to assess different long-range wireless communication technologies to enable its implementation within an urban environment.
Open Access
The impact of integrating open data in smart last-mile logistics: the example of Pamplona open data catalog
(MDPI, 2025-01-08) Al-Rahamneh, Anas; Serrano Hernández, Adrián; Faulín Fajardo, Javier; Estadística, Informática y Matemáticas; Estatistika, Informatika eta Matematika; Institute of Smart Cities - ISC
Last-mile logistics is one of the most complicated operations in the whole logistic process. This concept describes the final leg of a product travel from a warehouse or hub to specific customers. One of the last-mile logistics challenges that courier delivery companies face is route planning. Ineffective route planning can cause operational delays that cascade and affect several last-mile deliveries. Thus, numerous factors need to be considered to plan and optimize effective delivery routes. These involve many extraordinary and unpredictable events, including weather, traffic conditions, and traffic regulations. A lack of accessible data hinders dynamic, efficient, and reliable route planning, leading to these factors being overlooked. In this paper, we propose the use of open data (OD) to overcome these limitations. OD are information available for anyone to access, reuse, and distribute for free with minimal attribution and sharing restrictions. Therefore, the aim of this work is to examine the impact of incorporating specific open data elements on the performance of the Clarke and Wright algorithm, particularly in calculating savings, and identifying optimal routes. The results we obtained showed the effect of considering OD with an increase rate of approximately 2% on the total distance compared to not considering them.
Open Access
An IoT framework for SDN based city mobility
(Springer, 2021) Al-Rahamneh, Anas; Astrain Escola, José Javier; Villadangos Alonso, Jesús; Klaina, Hicham; Picallo Guembe, Imanol; López Iturri, Peio; Falcone Lanas, Francisco; Estatistika, Informatika eta Matematika; Ingeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzaren; Institute of Smart Cities - ISC; Estadística, Informática y Matemáticas; Ingeniería Eléctrica, Electrónica y de Comunicación
The Internet of Things (IoT) is becoming more widespread, with global application in a wide range of commercial sectors, utilizing a variety of technologies for customized use in specific environments. The combinationof applications and protocolsand the unique requirements of each environment present a significant challenge for IoT applications, necessitating communication and message exchange support. This paper presents a proposed SDN-based edge smart bypass/ multiprotocol switching for bicycle networks that supports functionalities of coordination of various wireless transmission protocols. A performance assessment will be presented, addressing a comparison between the different protocols (LoRaWAN vs. Sigfox) in terms radio coverage.
Unknown
Intelligent SDN-based multi-protocol selector for IoT-enabled NMT networks
(IEEE, 2021) Al-Rahamneh, Anas; Astrain Escola, José Javier; López Iturri, Peio; Picallo Guembe, Imanol; Falcone Lanas, Francisco; Ingeniería Eléctrica, Electrónica y de Comunicación; Estadística, Informática y Matemáticas; Ingeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzaren; Estatistika, Informatika eta Matematika
The popularity of the Internet of Things is increasing and it is being used in many commercial sectors, using customized technologies for specific environments. Applications and protocols, and the unique requirements of each environment, pose a significant challenge for IoT applications, necessitating communication and message exchange support. This paper aims to propose an intelligent SDN-Based multi-protocol selector for IoT-enabled NMT (NonMotorized Transportation) networks. The main goal of this work is to give the mobile nodes within IoT-enabled NMT networks the flexibility to choose the appropriate wireless communication protocol from several protocols they have to transmit information according to criteria, including battery life, data size and priority of the packet, to pass the most important data first.
Open Access
Agent-based modelling and simulation for hub and electric last mile distribution in Vienna
(Elsevier, 2023) Ballano Biurrun, Aitor; Al-Rahamneh, Anas; Serrano Hernández, Adrián; Faulín Fajardo, Javier; Institute of Smart Cities - ISC; Universidad Pública de Navarra / Nafarroako Unibertsitate Publikoa, PJUPNA26-2022
With the rise of e-commerce and door-to-door sales, last-mile deliveries are gaining more and more importance. As a result, last-mile distribution has become one of the most sensitive logistics processes due to its uniqueness, difficulties in meeting schedules, and high costs. Therefore, this work explores the use of urban consolidation centers to ease these last-mile difficulties. For that purpose, a hub in the city center of Vienna has been selected to deliver up to 150 clients disseminated by the city. This suitability is assessed by defining convenient simulation settings in order to replicate parcel demands in the city. Experiments are based in different hub-based fleets (traditional internal combustion vehicles or electric cargo bikes), demand patterns, and delivery frequency strategies by means of a biased randomization vehicle routing optimization heuristic. Results quantify the effects of having an urban consolidation center and highlight the use of electric cargo bikes for the last-mile distribution.