opti-MOVES

About Project

Quality management of intermodal public transport services: diagnosis and optimization

The project combined diagnosis and optimization methods to improve the quality of urban public transport, particularly intermodal transport services. The system aims to support decisionmaking of mobility operators and authorities, in planning, monitoring and optimizing intermodal operations and in the definition of urban policies. Positive impacts are expected, with an increase of public transport utilization, and a reduction of energy costs and pollutant emissions.

Acronym

opti-MOVES

Responsible

Tânia Daniela Lopes da Rocha Fontes

Status

Concluded

Start

January 26, 2018

End

January 31, 2022

Effective End

January 31, 2022

Global Budget

€226,525.28

Financing

€226,525.00

Members

Team Leaders

Tânia Fontes is a researcher at INESC TEC and is financed by National Funds through the FCT - Portuguese Foundation for Science and Technology (10.54499/2022.07805.CEECIND/CP1740/CT0001). Her area of expertise is urban mobility, people and cargo, focusing in particular on the assessment of the environmental impacts. Her research interests include the areas of transport policy assessment and the use of data science to support the design of decision support systems. Tânia has led several research projects in the area of passenger and cargo mobility, particularly in urban spaces (e-LOG and opti-MOVES). Besides these, she has actively collaborated on other research projects (eg Seamless Mobility, SmartDecision, CIVITAS-ELAN), consultancy projects (e.g. CIM-TS, VoxPop), and Cost actions (eg ARTS, TEA, TRANSITS). In 2016, she spent 6 months in Beijing to study the impacts of transport policies on the city's air quality. She regularly publishes in journals in the field of transport and environment. Tânia holds a PhD in Sciences Applied to the Environment from the University of Aveiro (2010). She also has a degree in Computer Engineering (ISEP, 2007) and Environmental Engineering (UFP, 2001).

Team Members

Joana Maria Ferreira Alvura da Hora

Maria Teresa Galvão Dias

Ana Maria Cunha Ribeiro dos Santos Ponces Camanho

José Luís Cabral de Moura Borges

Jorge Rui Guimarães Freire de Sousa

Tânia Daniela Lopes da Rocha Fontes

Joel Tiago Soares Ribeiro

Carlos Manuel Milheiro de Oliveira Pinto Soares

Jorge Manuel Pinho de Sousa

Associated Centres

Industrial Engineering and Management

The Centre for Industrial Engineering and Management (CEGI) is internationally recognised in the fields of decision science, optimisation, operations management and service engineering. The mission is to support organisations and communities in decision-making by harnessing the power of data to develop robust and sustainable solutions to complex problems. Research at CEGI focuses on real-world challenges like transport planning, supply chain management, healthcare service networks, industrial operations optimisation, disaster response and recovery, and the impact assessment of public policies. By resorting to Artificial Intelligence, data science and mathematical modelling, CEGI aims to understand system behaviours, improve process efficiency, increase organisational resilience, and anticipate the effects of decisions in uncertain contexts. CEGI operates across critical sectors including mobility, healthcare, retail, industry, energy, and services, focusing on digital transition and sustainability. We collaborate with academia, companies, municipal authorities, hospitals, and regulators, transforming scientific knowledge into applied solutions. We believe that evidence-based management is key to tackling the challenges of a constantly changing world.

Enterprise Systems Engineering

The research carried out at the Centre for Enterprise Systems Engineering (CESE) has a direct impact on industrial transformation, developing sustainable, resilient, and human-centred solutions to address the challenges of the digital and green transitions. Through a co-creation and development approach with scientific and industrial partners, CESE contributes to improve organisational capabilities and driving systemic innovation in complex industrial contexts. As a multidisciplinary research centre, CESE bridges science and practice in the field of Systems Engineering, focusing on value creation within industrial ecosystems. This mission is structured around five research lines that define CESE scientific and technological expertise: Manufacturing Systems Design and Management, Supply Chain and Collaborative Networks Management, Architectures and Industrial Information Systems, Technology Management in Industry, Transportation and Logistics.