Seminars | 21st Oct 2022 | LIACC-DEI FEUP

 

On behalf of Prof. Rosaldo Rossetti, from LIACC-DEI, we are sharing the following information.

 

Within the framework of the European University Alliance for Global Health (EUGLOH), we are glad to host the visit of Stéphane Espié and Abderrahmane Boubezoul, visiting DEI during this week. Our guests will deliver two seminars on Friday, October 21, at 9.00 am, in Room B 009.

 

Tools and methods for the understanding of road users behaviours (by S. Espié)

To be efficient and accepted, because acceptable, road safety counter-measures need to be defined thanks to scientific studies. The question is not only to imagine an optimal solution in the absolute, but to understand the real practices and, based on this knowledge, to design the measures (sensitivity campaigns, changes in Highway Code, changes in initial training curriculum or licence tests, infrastructure (re)design, vehicles homologations, etc.).
In our talk we will describe the tools and methods we promote and refined for decades to improve road safety, and their use in research projects. Our approach is systemic and is based on three pillars: instrumentation of vehicles for in-depth naturalistic studies, traffic modelling and simulation using a multi-agents system, and design of driving simulators to study driving behaviours. We will illustrate our approach using research projects we have conducted over these last years.

 

Driving-Pattern Identification and Event Detection Based on an Unsupervised Learning Framework: Case of a Motorcycle-Riding Simulator
(by A. Boubezoul)

Analysis of human driving behavior aims to inspect drivers’ behavior in the real-world and in a virtual environment. The study of driving behaviors can be conducted in naturalistic situations or controlled experiments. Analyzing driving behaviors based on the data collected in naturalistic driving experiments or controlled experiments in the real-world or in a virtual environment is beneficial to fill in many of the knowledge gaps about driving behaviors and risk factors. I will present a multi-step framework for analyzing driving behavior on macroscopic and microscopic scales. The core step of this framework is based on unsupervised machine learning algorithms applied to driving-pattern identification and the detection of critical driving events using anomaly-detection algorithms. The detected events are interpreted and described by computing their feature importance using graphs centrality measures. This provides new insight into driving behavior by identifying the motives behind the driver’s actions.

 

About the authors

Stéphane Espié is a research director at the Gustave Eiffel University. He hold an Accreditation to Direct Research in Computer Science (HdR, Pierre et Marie Curie University, 2004). His main research areas are behavioural traffic simulation (MAS based), and the design of tools to study road user behaviours (driving/riding simulators and instrumented vehicles). He currently conducts his research in SATIE laboratory (Paris Saclay university) where he leads the MOSS (Methods and Tools for Signals and Systems) research group.

Abderrahmane Boubezoul received his Ph.D. in Computer Science and Mathematics from University Paul Cézanne (Aix-Marseille III), France in 2008 and his Master’s degree in Virtual Reality and Complex Systems from Evry Val d’Essone University, France. Since 2008, he is a researcher at Gustave Eiffel University. His current work is about statistical signal processing and machine learning applied to road transport systems. He currently conducts his research in SATIE laboratory (Paris Saclay university) MOSS (Methods and Tools for Signals and Systems) research group.

Meeting #33 – Data collection and analysis for road safety

 

This session will take place on 26 April 2022 at room L202 of Faculdade de Engenharia da Universidade do Porto (FEUP). The topic is Data collection and analysis for road safety, presented by João Neves, from Ascendi.

Ascendi has invested in data collection mechanisms and is using those data to improve road safety. In this session, João Neves will present how data is currently being used and its potential to help improve road safety measures and drivers’ behaviours.

[Call for abstracts – deadline extended] CITTA 2022 | 14th Anual Conference on Planning Research – Safe, Equitable and Just Communities

The CITTA 14th Annual Conference on Planning Research will be held at the Faculty of Engineering of the University of Porto, Portugal, on 17 June 2022, under the main topic “Safe, Equitable and Just Communities”. The call is open for contributions focused on (i) understanding the patterns, values, desires, needs, and behaviours associated with different communities and groups of population, (ii) stimulating community-led initiatives and public participation to assist policy- and decision-making and to ensure the success of these processes, (iii) delivering systematic outcome-driven approaches able to encompass and promote social welfare, trust, and fairness in the resolution of spatial planning and transport problems, and/or (iv) deriving policies and actions to bridge the gaps between innovation and societal changes. Conference sessions will be organized in four tracks: 

  1. Planning for social and environmental justice;
  2. Equitable and just urban policies;
  3. Accessible and inclusive transport systems and mobility services;
  4. Safe and efficient transport systems.

The deadline for submission of abstracts is 06 May 2022. Full papers (optional) may be submitted by 30 June 2022.
For more information, please visit the conference website: www.fe.up.pt/citta2022. Any inquiries should be sent to [email protected]

Seminar on Green Logistics

Next week we will have a two part seminar on Green Logistics with Professor Javier Faulin. We invite any one interested on this topic, and in Operational Research, to join us. The seminar will be on the 15th november (2pm-4pm) and on the 16th november (11am-1pm), at the Department of Industrial Engineering and Management (FEUP), in room L202.

The seminar is free, but requires registration (register here).

______________________________

Short bio

Dr. Javier Faulin is a Full Professor of Statistics and Operations Research at the Department of Statistics, Computer Science, and Mathematics in the Public University of Navarre-UPNA (Pamplona, Spain). He develops his research activities in Sustainable Transportation and Smart Logistics at the Institute of Smart Cities at the UPNA, being part of his steering committee since 2017. He also collaborates as Instructor-Tutor at the UNED local center in Pamplona.
He holds a Ph.D. in Economics and Business from the University of Navarre (Pamplona, Spain), a M.Sc. in Operations Management, Logistics and Transportation from UNED (Madrid, Spain) and a M.Sc. and BSc in Applied Mathematics from the University of Zaragoza (Zaragoza, Spain). He has extended experience in distance and Web-based teaching during the last 20 years in different European universities. Moreover, his teaching has been developed in the following centers: Public University of Navarre (Pamplona, Navarre, Spain), University of Navarre (Pamplona, Navarre, Spain), UNED (Madrid, Spain), the Open University of Catalonia (Barcelona, Spain), the University of Rennes 1 (Rennes, France), and the University of Surrey (Guilford, Surrey, UK). Similarly, he is involved in assessment activities developed in well-known institutions such as the University College of Dublin (Ireland) or the FWO-Flanders Research Foundation (Belgium).
His research interests include transportation and logistics, vehicle routing problems and simulation modelling and analysis, especially in the practical resolution of logistics and delivery problems of companies. Similarly, he has developed a research line of evaluation of environmental impact of freight transportation and its relationship with vehicle routing problems. In order to model the previous problems, he has collaborated in the development of the simheuristics methodology as a way of imbrication of simulation with optimization (http://www.sciencedirect.com/science/article/pii/S221471601500007X).
He has published more than 150 papers in international journals, books and proceedings about logistics, routing and simulation. Similarly, he has taught many courses on line about Operations Research (OR) and Decision Making, and he has been the academic advisor of  eight PhD students and more than 60 graduate and master students. Furthermore, he has been the author of more than 200 talks in OR conferences. He is or has been an editorial board member of the journals: Transportation Research Part E: Logistics and Transportation Review (TRE)Sustainability (Sustainable Transportation Section), Journal of Applied Operational Research (JAOR), ORMS Letters (ORMSL), International Journal of Applied Management Science (IJAMS) and International Journal of Operations Research and Information Systems (IJORIS).

Meeting #32 – Analog games as tools for planning processes [online]

This 1-hour session will take place online on Thursday, November 17th 2020, from 11a.m. to 12p.m.. Micael Sousa, Ph.D. student of the Spatial Planning from University of Coimbra will share his ongoing research work entitled Analog games as tools for planning processes.

 

Abstract

This research is focused on the potential of game mechanics and dynamics, mostly through analog platforms, as tools for planning processes. Through this approach of serious games, planners can establish new processes, applied to any field of planning, where games can help enhancing participation and collaboration among experts, stakeholders, and citizens. Serious games are ways to engage with participants, providing pleasant simulation experiences while granting planning objectives. Analog games are prone to foster collaboration and are flexible tools to adapt to ongoing planning processes.

Meeting #31 – The role of collaboration for sustainable and efficient urban logistics

This 1-hour session will take place online on Thursday, November 3rd 2020, from 11a.m. to 12 noon. Leandro Carvalho, Ph.D. student of the Transport Systems Doctoral Program from FEUP will share his ongoing research work entitled The role of collaboration for sustainable and efficient urban logistics, in an informal and friendly environment.

Click ‘Read more’ to read the short abstract.

Continue reading “Meeting #31 – The role of collaboration for sustainable and efficient urban logistics”

Meeting #30 – Online session with Doctoral students in Transport Systems

This 1-hour session will take place online on November 19th 2020, from 11a.m. to 12 noon. Two Ph.D. students of the Transport Systems Doctoral Program from FEUP will share their ongoing research work, in an informal and friendly environment. The titles and short abstracts for their research works can be found below.

Link to Zoom meeting: https://videoconf-colibri.zoom.us/j/81371702737?pwd=MHZERHVseUpEemhLUHcvU3UzZzVnZz09

Juliana Carvalho – Policy Roadmaps for Sustainable Urban mobility: a Collaborative Design Framework

Mudassar Shafiq – Optimal Design and Evaluation of more Sustainable and Equitable Public Transport Networks

Continue reading “Meeting #30 – Online session with Doctoral students in Transport Systems”

Meeting #29 – Beginning of 2020/21 academic year [Networking session]

 

GITMob meeting no. 29

We will begin the academic year of 2020/21 with a networking session. This session will take place online on 10 September 2020 (no registration required). Some Ph.D. students will share an overview of their research work in an informal and friendly environment, where everyone is welcome to participate. This session is an excellent opportunity to meet other researchers in the field of transport and mobility. See you online!

You can participate through this link to the Zoom meeting.

Meeting #28 – The impact of reversible lanes in the main freeway (VCI) of Porto city

 

GITMob meeting no. 28
This session will take place online on 23 July 2020 (no registration required: Zoom Link). The topic of this session will be The impact of reversible lanes in the main freeway (VCI) of Porto city, presented by Lígia Conceição ORCID iD, Ph.D. in Transportation Systems. This presentation focuses on her research work.

 

Abstract
In real-world cities, solving Road Network Design Problems (RNDP) in a single-level framework through optimization is not advisable, given the numerical complexity that turns the process very time-consuming. Simulation methods appear as a method to reduce the complexity of the mathematical problem by solving one part of the problem: the lower-level problem, i.e., the performance of the network for a given network design solution. Joining simulation and optimization is also challenging in terms of programming, software interfaces, and time resources, yet a feasible solution can be obtained even when the solution process does not reach the end. The main objective of this presentation is to present the first results of a simulation-optimization (SO) framework of reversible lanes (a smart traffic control system) applied to a particular case-study: the main freeway (also known as VCI) of the city of Porto, in Portugal.

 

Short Bio
​Lígia Conceição, Ph.D. in Transportation Systems from MIT Portugal Program. She worked at TU Delft and MIT on research related to operations research in transport planning and traffic control strategies for automated vehicles. Her former background is an M.Sc in civil engineering focused on transport infrastructures in 2014 at the University of Porto, Portugal. She is an enthusiast and passionate about solving and optimizing problems for a better and more innovative future.

Meeting #27 – The Reversible Lane Network Design Problem (RL-NDP) for Smart Cities with Automated Traffic

 

GITMob meeting no. 27
This session took place online (no registration required, Zoom link) on 16 July 2020. The topic of this session was The Reversible Lane Network Design Problem (RL-NDP) for Smart Cities with Automated Traffic, presented by Lígia Conceição ORCID iD, Ph.D. in Transportation Systems. This presentation focused on her recently published work available here.

 

Abstract
With automated vehicles (AVs), reversible lanes could be a sustainable transportation solution once there is vehicle-to-infrastructure connectivity informing AVs about the lane configuration changes. This paper introduced the reversible lane network design problem (RL-NDP), formulated in mixed-integer non-linear mathematical programming—both the traffic assignment and the reversible lane decisions were embedded. The model was applied on an hourly basis in the case study of the city of Delft, the Netherlands. Reversible lanes are examined under no traffic equilibrium (former paths are maintained); user-equilibrium (UE) assignment (AVs decide their own paths); and system-optimum (SO) traffic assignment (AVs are forced to follow SO paths). We found out that reversible lanes reduce congested roads, total travel times, and delays up to 36%, 9%, and 22%, respectively. The SO scenario was revealed to be beneficial in reducing the total travel time and congested roads in peak hours, whereas UE is equally optimal in the remaining hours. A dual-scenario mixing SO and UE throughout the day reduced congested roads, total travel times, and delay up to 40%, 8%, and 19%, respectively, yet increased 1% in travel distance. The spatial analysis suggested a substantial lane variability in the suburbs, yet a strong presence of reversible lanes in the city center.

 

Short Bio
Lígia Conceição, Ph.D. in Transportation Systems from MIT Portugal Program. She worked at TU Delft and MIT on research related to operations research in transport planning and traffic control strategies for automated vehicles. Her former background is an M.Sc in civil engineering focused on transport infrastructures in 2014 at the University of Porto, Portugal. She is an enthusiast and passionate about solving and optimizing problems for a better and more innovative future.