Jorge Filipe Marto Bandeira

Scopus Publications

Designing efficient pricing models to mitigate transport-related externalities in intercity corridors
Carlos Sampaio, Margarida C. Coelho, Eloísa Macedo, Jorge M. Bandeira
Case Studies on Transport Policy, 2026
• Scenario-based pricing for an intercity surface travel corridor. • Elasticity-driven demand update with macroscopic external-cost models. • We simulate fare-free rail, no tolls, +5% fuel tax, and a combined package. • Combined package maximizes fiscal-environmental indicators, cutting external costs by 7.1%. This paper evaluates pricing policies to reduce transport-related external costs in an intercity corridor (Aveiro-Coimbra, Portugal). We build a numerical platform that updates multimodal demand via arc-elasticities and re-estimates external costs with flow-dependent linear functions calibrated for the corridor. Results show that a combined package, fare free rail plus + 5% fuel tax (increasing from 40% to 45%), delivers the strongest overall outcome, cutting external costs by 7.1% while raising state revenue by 2.1%. We primarily assess changes in social welfare driven by reductions in transport-related external costs and additionally report the associated changes in state revenue as a complementary fiscal metric. We also discuss distributional impacts, as equity concerns are central to the political acceptability of pricing reforms: uniform fuel-tax increases may be regressive where public transport alternatives are weak, motivating an “invest first, then price” sequencing. The methodology is transferable to similar corridors and supports evidence-based pricing design.
Exploring the Willingness to Embrace Automated Vehicles: A Survey-Based Study for the Portuguese context
Mónica Rodrigues, Maria Conceição Costa, Steve O’Hern, Jorge M. Bandeira
Transportation Research Procedia, 2026
This study assesses the willingness of the Portuguese population to adopt automated vehicles (AVs) in public and private transport. Key factors influencing AV acceptance were considered including knowledge and awareness, trust and perception, willingness to use, usage preferences, and environmental concerns. A structured survey of 425 participants was conducted, analysing sociodemographic variables, transport habits, and attitudes toward AVs. Analysis identified five key themes: a) optimism and AV adoption, b) environmental awareness, c) knowledge of AVs, d) geographical location, and e) concerns and discomfort. Results highlight critical factors influencing public acceptance of AVs in Portugal, including issues concerning safety, economic feasibility, and trust as significant barriers. The relatively low adoption of public transport in rural areas presents an additional challenge for AV implementation in these regions. The study indicates potential for AV adoption in Portugal, as almost 70% of respondents expressed willingness to use a partially or fully automated vehicle, with technological optimism and positive environmental perceptions emerging as significant positive predictors of willingness. Yet, achieving widespread acceptance requires addressing safety concerns, lack of trust, and infrastructure concerns through targeted policy interventions and public engagement initiatives.
Feasibility and Impact of Automated Vehicles in Peri Urban Public Transport
Ana Viriato, Mónica Rodrigues, Luis Pereira, Margarida C. Coelho, Jorge Bandeira
Transportation Research Procedia, 2026
This study investigates the feasibility and potential impacts of deploying automated vehicles (AVs) as a public transport solution in a peri-urban area, using a case study of an existing bus route in Aveiro, Portugal. Five operational scenarios were compared: conventional diesel buses, full electrification, on-demand light AVs, automated minibuses, and a hybrid system. The methodology combined real-world data collection, scenario design, route optimization, emission assessment, and cost analysis. Results indicate that light AVs offer significant operational emission reductions (70-90% compared to electric buses) and cost savings compared to conventional systems. A hybrid model, combining electric buses for peak hours and light AVs for off-peak, emerged as the most promising solution, balancing cost efficiency and environmental impact. The study also suggests potential labour savings by replacing multiple drivers with a single remote operator overseeing several AVs, potentially mitigating driver shortages. However, the study acknowledges the need for realism regarding current AV industry profitability, emphasizing the substantial upfront costs and long-term perspective required for widespread, profitable AV deployment in public transport.
Calibration of the Intelligent Driver Model (IDM) at the Microscopic Level
Luís Vasconcelos, Jorge M. Bandeira
Future Transportation, 2025
This paper presents a calibration technique for the Intelligent Driver Model (IDM), a car-following model that considers the physical interpretation of each parameter. Using an instrumented vehicle, trajectory data were gathered for a group of Portuguese drivers. The data included various basic scenarios, such as unrestricted acceleration and deceleration maneuvers, as well as following other cars in steady-state conditions. The calibration process involved two steps. In the first step, specific parameters that have clear physical interpretations were manually adjusted to accurately reproduce the speed patterns of basic driving scenarios. In the second step, the obtained results were used to establish the limits of values for a simultaneous calibration procedure. The results demonstrate that the calibration procedure enables precise replication of the actual trajectories. Nevertheless, the model validation results indicate that calibrating without limitations on the parameter search space produces estimates with greater explanatory capability, contradicting previous research and supporting the need for additional analyses.
User feedback assessment of region-focused mobility-as-a-service bundles
Sofia Suárez, Eloisa Macedo, Gennaro Ciccarelli, Jorge M. Bandeira
Multimodal Transportation, 2025
Mobility-as-a-Service (MaaS) is viewed as a prospective approach to encourage sustainable mobility. To ensure the effectiveness of MaaS subscription plans, continuous feedback and communication with users are crucial. The objective of this study is to develop a methodology for designing region-focused MaaS bundles and assess their viability through end-user's feedback and its potential for increasing users’ uptake of more sustainable travel. To explore user willingness to adopt the suggested MaaS bundles and estimate net changes in carbon dioxide (CO 2 ) and nitrogen oxide (NOx) emissions, stated preference surveys (SPS) were conducted in the Portuguese cities of Aveiro and Coimbra. Results suggest a preference for bundles offering unlimited travel on public transport and, due to the efficient public transport network in Coimbra, the willingness to use such bundles was higher than for Aveiro. In an optimistic scenario, average emission savings of 35 % for CO 2 and 30 % for NOx emissions, specifically for the most frequent trips, were found. In a realistic scenario with values adjusted to revealed preferences, these reductions drop to 5 % for CO 2 and 4 % for NOx. Overall, our research highlights the complexities associated with behavioural changes and underscores the importance of policies that consider the intricacies of human behaviour. Furthermore, the findings regarding the introduction of MaaS bundles emphasize the pivotal role of a robust PT system in driving changes in travel behaviour among the population, contributing to mitigating the negative effects of unsustainable, carbon-dependent travel choices.
A Case Study on Peri-Urban Public Transport Optimisation From an Energy and Environmental Perspective
André Vasconcelos, Margarida C. Coelho, Jorge M. Bandeira
Iet Intelligent Transport Systems, 2025
Peri‐urban and rural mobility presents unique challenges due to its reliance on fossil fuels and the lack of comprehensive studies on its externalities. Furthermore, the provision of efficient public transport in peri‐urban areas is complicated due to fluctuating demand patterns. In this context, this paper explores the optimisation of a bimodal (bus line and a diesel railway line) public transport corridor in the peri‐urban area of a European medium‐sized city. A four‐stage research methodology is employed: initial system characterisation, energy and environmental performance analysis, operational efficiency assessment, and the development and evaluation of alternative transport strategies. The study concludes that the variability in demand necessitates the implementation of innovative, complementary services that can adapt to changing passenger numbers while optimising existing resources. Findings of the case study indicate that aligning bus types with demand variability and integrating electric buses can lead to substantial reductions in CO2 emissions. The use of minibuses during off‐peak hours could achieve a 50% reduction in emissions, while the adoption of a bus rapid transit (BRT) system may result in a 90% decrease compared to conventional diesel trains. The research underlines the potential for innovative service models to utilise existing infrastructure more efficiently.
A data-driven approach to evaluate emission impacts of manual and automatic transmission vehicles
Rita Madail, Jorge M. Bandeira, Eloísa Macedo
Transportation Research Procedia, 2025
Understanding and identifying patterns in driver behaviour can yield insights on how to enhance road safety and decrease vehicular emissions. This work focuses on providing a data-driven analysis of the driving behaviour in an urban area, in which each one of the 30 volunteers drives both a manual and automatic transmission vehicle in a simulation experiment. Conducting experiments using a driving simulator can be more cost-effective compared to real-world testing. Different variables are collected (e.g., speed, acceleration, pedal position) and computed or estimated (e.g., vehicle-specific power), and the analysis seeks to explore the patterns in the operational and environmental performance. First results show automatic transmission driving can effectively reduce pollutant emissions, while on the other hand, it can also entail higher and sharper accelerations, more evident at lower speed operating regime.
A macroscopic approach for assessing the environmental performance of shared, automated, electric mobility in an intercity corridor
Pedro Fernandes, Jorge M. Bandeira, Margarida C. Coelho
Journal of Intelligent Transportation Systems Technology Planning and Operations, 2025
This paper aims to evaluate the traffic and environmental performance when implementing scenarios with shared vehicles (SVs), electric vehicles (EVs) and automated vehicles (AVs) using a macro simu...
Multiple linear regression of metro ridership in the context of football events: A case study of Metro de Lisboa
Paulo Fernandes, Luis Santos, Jorge M. Bandeira, Eloisa Macedo
Transportation Research Procedia, 2025
Special events, such as sports games, concerts, and festivals, pose significant challenges for efficient operational management, leading to disruptions in public transport systems, particularly urban metros. While existing studies have focused on predicting metro passenger flows during sport events based on weather or opponent type variables, little is known about the impacts of competition type, team form, position in the competition, or game results on both game attendance and metro demand. This study examined inbound and outbound passenger flows at the station-level in the Lisbon metro during football games. The database comprised 186 events spanning from 2017 to 2022, including 15-minute mobility data from three metro stations serving two stadiums in the city. Multiple linear regression (MLR) was applied to estimate attendance games. Results revealed statistical differences in game attendance based on competition and opponent types, as well as team situation in the competition. Also, there was an increase in metro demand up to 3,600 passengers on event days compared to non-event days. The MLR models incorporating all the variables retained significantly more data information than other model variants for both teams. Some significant attendance model predictors were related to opponent and competition types, and team’s situation before the games.
Smart traffic distribution in a coexistence environment of conventional and connected automated vehicles
Jorge M. Bandeira, Luis M. Pereira, Dalila Marques, Paulo Fernandes, Eloísa Macedo
Transportation Research Procedia, 2025
As automated driving technology advances, its coexistence with conventional vehicles poses challenges in managing road conflicts and considering the impact of other drivers’ decisions on network performance, especially concerning environmental factors. With such concerns in mind, this paper explores the impacts associated with smarter traffic distribution in an interurban corridor under the coexistence of automated and conventional vehicles. The minimisation of travel time and reduction of external costs associated with pollutant emissions are the main goals of proposed traffic distribution. Vehicles on the road network are classified based on driving type (automated or conventional) and propulsion type (electric, diesel, gasoline, or hybrid electric). Sequential simulations using PTV Vissim, COPERT, and MATLAB and SciPy library in Python are conducted to evaluate the effects of automated electric vehicle (AEVs) introduction in different road types (highway and urban/rural). Results show the influence of Automated Electric Vehicles (AEVs) on traffic performance varies depending on route characteristics. The implementation of intelligent traffic distribution plays a crucial role in reducing emissions costs making it possible to reduce externalities related to emission costs by up to 21 per cent. However, there is a trade-off between minimising GHG and local pollutants.
Vehicle Platooning: A Detailed Literature Review on Environmental Impacts and Future Research Directions
Micael Rebelo, Sandra Rafael, Jorge M. Bandeira
Future Transportation, 2024
Clean, smart, and sustainable regional mobility
Eloísa Macedo, Jorge M. Bandeira
Self Sufficiency and Sustainable Cities and Regions Planning for Sustainable Circular and Carbon Neutral Development, 2024
Beyond Basics: Can a Driving Simulator Reliably Reproduce Real Vehicle Dynamics?
Beatriz Fernandes, Eloisa Macedo, Jorge M. Bandeira
Sensors Basel Switzerland, 2023
Impact of autonomous vehicles on air quality and energy efficiency of road traffic flows - a case study in an urban roundabout
André Afonseca, Sandra Rafael, Jorge Bandeira
Transportation Research Procedia, 2023
Construct Hunting in GovTech Research: An Exploratory Data Analysis
Mattias Svahn, Aron Larsson, Eloésa Macedo, Jorge Bandeira
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2023
Correction to: “Construct Hunting in GovTech Research: An Exploratory Data Analysis” in: I. Lindgren et al. (Eds.): Electronic Government, LNCS 14130, (10.1007/978-3-031-41138-0_1))
Mattias Svahn, Aron Larsson, Eloísa Macedo, Jorge Bandeira
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2023
How can the built environment affect the impact of autonomous vehicles’ operational behaviour on air quality?
S. Rafael, P. Fernandes, D. Lopes, Micael Rebelo, J. Bandeira, E. Macedo, Mónica Rodrigues, M. Coelho, C. Borrego, A. Miranda
Journal of Environmental Management, 2022
Emission Impacts of Post-Pandemic Travel Behaviour in Intercity Corridors
Carlos Sampaio, Margarida C. Coelho, Eloísa Macedo, Jorge M. Bandeira
Future Transportation, 2022
Mapping of individual transportation traffic-related externalities in an intercity corridor
Carlos Sampaio, Margarida C. Coelho, Eloísa Macedo, Jorge M. Bandeira
Transportation Research Procedia, 2022
Multidimensional Indicator of MaaS systems Performance
J. Bandeira, E. Macedo, J. Teixeira, Gennaro Cicarelli, M. Niculescu, Niklas Fischer, M. Gather
Transportation Research Procedia, 2022
Exploring relevant factors behind a MaaS scheme
Eloísa Macedo, João Teixeira, Matthias Gather, Claudia Hille, Marie-Luise Will, Niklas Fischer, Jorge M. Bandeira
Transportation Research Procedia, 2022
Emissions based tolls – Impacts on the total emissions of an intercity corridor
Carlos Sampaio, M. Coelho, E. Macedo, J. Bandeira
Transportation Research Part D Transport and Environment, 2021
Traffic, emissions and safety impacts of automated vehicles connecting a university and a science park
Diogo Marques, Jorge Bandeira, Margarida C. Coelho
2021 7th International Conference on Models and Technologies for Intelligent Transportation Systems Mt ITS 2021, 2021
Development of an information system for cycling navigation
Francisco Lé de Matos, José Maria Fernandes, Carlos Sampaio, Joaquim Macedo, Margarida C. Coelho, Jorge Bandeira
Transportation Research Procedia, 2021
Potential pollutant emission effects of connected and automated vehicles in a mixed traffic flow context for different road types
Jorge M. Bandeira, Eloisa Macedo, Paulo Fernandes, Monica Rodrigues, Mario Andrade, Margarida C. Coelho
IEEE Open Journal of Intelligent Transportation Systems, 2021
Real-time information systems for public transport: User perspective
Eloísa Macedo, João Teixeira, Carlos Sampaio, Nélia Silva, Margarida C. Coelho, Myrsini Glinos, Jorge M. Bandeira
Transportation Research Procedia, 2021
Autonomous vehicles opportunities for cities air quality
Sandra Rafael, Luís P. Correia, Diogo Lopes, Jorge Bandeira, Margarida C. Coelho, Mário Andrade, Carlos Borrego, Ana I. Miranda
Science of the Total Environment, 2020
Exploring the Potential of Web Based Information of Business Popularity for Supporting Sustainable Traffic Management
Jorge M. Bandeira, Pavlos Tafidis, Eloísa Macedo, João Teixeira, Behnam Bahmankhah, Cláudio Guarnaccia, Margarida C. Coelho
Transport and Telecommunication, 2020
Economic and environmental analysis of measures from a Sustainability Urban Mobility Plan - Application to a small sized city
Carlos Sampaio, Eloísa Macedo, Margarida C. Coelho, Jorge M. Bandeira
Transportation Research Procedia, 2020
Quantifying road traffic emissions embedded in a multi-objective traffic assignment model
Eloísa Macedo, Ricardo Tomás, Paulo Fernandes, Margarida C. Coelho, Jorge M. Bandeira
Transportation Research Procedia, 2020
InFLOWence project: Autonomous vehicles opportunities for air quality
20th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes Harmo 2020, 2020
Assessing the emission impacts of autonomous vehicles on metropolitan freeways
Ricardo F. Tomás, Paulo Fernandes, Eloisa Macedo, Jorge M. Bandeira, Margarida C. Coelho
Transportation Research Procedia, 2020
Introducing new criteria to support cycling navigation and infrastructure planning in flat and hilly cities
Ricardo Cruz, Jorge Bandeira, Mariana Vilaça, Mónica Rodrigues, José Maria Fernandes, Margarida Coelho
Transportation Research Procedia, 2020
Assessing the overtaking lateral distance between motor vehicles and bicycles-influence on energy consumption and road safety
Behnam Bahmankhah, Paulo Fernandes, Jose Ferreira, Jorge Bandeira, Jose Santos, Margarida C. Coelho
Advances in Intelligent Systems and Computing, 2020
Are internally observable vehicle data good predictors of vehicle emissions?
P. Fernandes, E. Macedo, B. Bahmankhah, R.F. Tomas, J.M. Bandeira, M.C. Coelho
Transportation Research Part D Transport and Environment, 2019
Integrating road traffic externalities through a sustainability indicator
P. Fernandes, M. Vilaça, E. Macedo, C. Sampaio, B. Bahmankhah, J.M. Bandeira, C. Guarnaccia, S. Rafael, A.P. Fernandes, H. Relvas, C. Borrego, M.C. Coelho
Science of the Total Environment, 2019
Characterization of road traffic externalities in an intercity corridor
Carlos Sampaio, Eloísa Macedo, Margarida C. Coelho, Jorge M. Bandeira
International Journal of Transport Development and Integration, 2019
Assessing traffic-related environmental impacts based on different traffic monitoring applications
João Teixeira, Eloísa Macedo, Paulo Fernandes, Jorge M. Bandeira, Nagui Rouphail, Margarida C. Coelho
Transportation Research Procedia, 2019
Assessment of local air quality for different penetration levels of connected autonomous vehicles
LUÍS P. CORREIA, SANDRA RAFAEL, DIOGO LOPES, JORGE BANDEIRA, MARGARIDA C. COELHO, MÁRIO ANDRADE, CARLOS BORREGO, ANA I. MIRANDA
Wit Transactions on the Built Environment, 2019
A Dynamic Link-based Eco-indicator for supporting equitable traffic management strategies
Carlos Sampaio, Jorge M. Bandeira, Eloisa Macedo, Mariana Vilaça, Claudio Guarnaccia, Bernard Friedrich, Hélder Relvas, Sandra Rafael, Vera Rodrigues, Margarida C. Coelho
Transportation Research Procedia, 2019
Influence of different complexity levels of road traffic models on air quality modelling at street scale
Bruno Vicente, Sandra Rafael, Vera Rodrigues, Hélder Relvas, Mariana Vilaça, João Teixeira, Jorge Bandeira, Margarida Coelho, Carlos Borrego
Air Quality Atmosphere and Health, 2018
Statistical and semi-dynamical road traffic noise models comparison with field measurements
Claudio Guarnaccia, Jorge Bandeira, Margarida C. Coelho, Paulo Fernandes, João Teixeira, George Ioannidis, Joseph Quartieri
Aip Conference Proceedings, 2018
Assessing the importance of transportation activity data for urban emission inventories
Daniela Dias, Jorge Humberto Amorim, Elisa Sá, Carlos Borrego, Tânia Fontes, Paulo Fernandes, Sérgio Ramos Pereira, Jorge Bandeira, Margarida C. Coelho, Oxana Tchepel
Transportation Research Part D Transport and Environment, 2018
The potential of metering roundabouts: Influence in transportation externalities
Paulo Fernandes, João Teixeira, Claudio Guarnaccia, Jorge M. Bandeira, Eloísa Macedo, Margarida C. Coelho
Transportation Research Record, 2018
Exploring multiple eco-routing guidance strategies in a commuting corridor
Jorge M. Bandeira, Paulo Fernandes, Tânia Fontes, Sérgio Ramos Pereira, Asad J. Khattak, Margarida C. Coelho
International Journal of Sustainable Transportation, 2018
Advanced Impact Integration Platform for Cooperative Road Use
Jorge M. Bandeira, Claudio Guarnaccia, Paulo Fernandes, Margarida C. Coelho
International Journal of Intelligent Transportation Systems Research, 2018
Exploring crowdsourcing information to predict traffic-related impacts
Pavlos Tafidis, Joao Teixeira, Behnam Bahmankhah, Eloisa Macedo, Margarida C. Coelho, Jorge Bandeira
Conference Proceedings 2017 17th IEEE International Conference on Environment and Electrical Engineering and 2017 1st IEEE Industrial and Commercial Power Systems Europe Eeeic I and Cps Europe 2017, 2017
Interregional European Cooperation platform to promote sustainable transport through ICT - An overview of best practices
Pavlos Tafidis, Jorge Bandeira
ACM International Conference Proceeding Series, 2017
Improving public transport management through optimizing use of resources: A case study
International Journal for Housing Science and Its Applications, 2017
Exploring the impact of ICT on urban mobility in heterogenic regions
P. Tafidis, Eloisa Macedo, M.C. Coelho, M.C. Niculescu, A. Voicu, C. Barbu, N. Jianu, F.J.M. Pocostales, C.M. Laranjeira, J. Bandeira
Transportation Research Procedia, 2017
Driving around turbo-roundabouts vs. conventional roundabouts: Are there advantages regarding pollutant emissions?
P. Fernandes, S. R. Pereira, J. M. Bandeira, L. Vasconcelos, A. Bastos Silva, M. C. Coelho
International Journal of Sustainable Transportation, 2016
Urban scale air quality modelling using detailed traffic emissions estimates
C. Borrego, J.H. Amorim, O. Tchepel, D. Dias, S. Rafael, E. Sá, C. Pimentel, T. Fontes, P. Fernandes, S.R. Pereira, J.M. Bandeira, M.C. Coelho
Atmospheric Environment, 2016
Traffic restriction policies in an urban avenue: A methodological overview for a trade-off analysis of traffic and emission impacts using microsimulation
Paulo Fernandes, Jorge M. Bandeira, Tânia Fontes, Sergio Ramos Pereira, Bastian J. Schroeder, Nagui M. Rouphail, Margarida C. Coelho
International Journal of Sustainable Transportation, 2016
Empirical assessment of route choice impact on emissions over different road types, traffic demands, and driving scenarios
Jorge M. Bandeira, Dário O. Carvalho, Asad J. Khattak, Nagui M. Rouphail, Tânia Fontes, Paulo Fernandes, Sérgio R. Pereira, Margarida C. Coelho
International Journal of Sustainable Transportation, 2016
Assessment of the effectiveness of fuel and toll pricing policies in motorway emissions: An ex-post analysis
T. Fontes, S.R. Pereira, J.M. Bandeira, M.C. Coelho
Research in Transportation Economics, 2015
How to combine different microsimulation tools to assess the environmental impacts of road traffic? Lessons and directions
T. Fontes, S.R. Pereira, P. Fernandes, J.M. Bandeira, M.C. Coelho
Transportation Research Part D Transport and Environment, 2015
Assessment of corridors with different types of intersections: Environmental and traffic performance analysis
Paulo Fernandes, Tânia Fontes, Mark Neves, Sérgio Ramos Pereira, Jorge M. Bandeira, Nagui M. Rouphail, Margarida C. Coelho
Transportation Research Record, 2015
An eco-traffic management tool
Jorge M. Bandeira, Sérgio R. Pereira, Tânia Fontes, Paulo Fernandes, Asad J. Khattak, Margarida C. Coelho
Advances in Intelligent Systems and Computing, 2014
Assessment of potential improvements on regional air quality modelling related with implementation of a detailed methodology for traffic emission estimation
Margarida C. Coelho, Tânia Fontes, Jorge M. Bandeira, Sérgio R. Pereira, Oxana Tchepel, Daniela Dias, Elisa Sá, Jorge H. Amorim, Carlos Borrego
Science of the Total Environment, 2014
Assessing the importance of vehicle type for the implementation of eco-routing systems
J.M. Bandeira, T. Fontes, S.R. Pereira, P. Fernandes, A. Khattak, M.C. Coelho
Transportation Research Procedia, 2014
Emissions impact of road traffic incidents using advanced traveller information systems in a regional scale
T. Fontes, A. Lemos, P. Fernandes, S.R. Pereira, J.M. Bandeira, M.C. Coelho
Transportation Research Procedia, 2014
Are HOV/eco-lanes a sustainable option to reducing emissions in a medium-sized European city?
Tânia Fontes, Paulo Fernandes, Hugo Rodrigues, Jorge M. Bandeira, Sérgio R. Pereira, Asad J. Khattak, Margarida C. Coelho
Transportation Research Part A Policy and Practice, 2014
Emissions estimation at multilane roundabouts
Katayoun Salamati, Margarida C. Coelho, Paulo J. Fernandes, Nagui M. Rouphail, H. Christopher Frey, Jorge Bandeira
Transportation Research Record, 2013
Generating emissions information for route selection: Experimental monitoring and routes characterization
Jorge Bandeira, Tiago G. Almeida, Asad J. Khattak, Nagui M. Rouphail, Margarida C. Coelho
Journal of Intelligent Transportation Systems Technology Planning and Operations, 2013
Integrated computational methods for traffic emissions route assessment
Andreas Gazis, Tânia Fontes, Jorge Bandeira, Sérgio Pereira, Margarida C. Coelho
Iwcts 2012 5th ACM Sigspatial International Workshop on Computational Transportation Science, 2012
Impact of road traffic incidents on pollutant emissions
Marcio F. Coelho, J. M. Bandeira, Margarida C. Coelho
2011 IEEE Forum on Integrated and Sustainable Transportation Systems Fists 2011, 2011
Impact of land use on urban mobility patterns, emissions and air quality in a Portuguese medium-sized city
Jorge M. Bandeira, Margarida C. Coelho, Maria Elisa Sá, Richard Tavares, Carlos Borrego
Science of the Total Environment, 2011

Jorge Filipe Marto Bandeira

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