Projecte matriculat
Títol: Design and Evaluation of an Infrastructure to Optimize Emergency Vehicle Urban Mobility in Barcelona
Director/a: CERVELLÓ PASTOR, CRISTINA
Departament: ENTEL
Títol: Design and Evaluation of an Infrastructure to Optimize Emergency Vehicle Urban Mobility in Barcelona
Data inici oferta: 31-01-2026 Data finalització oferta: 30-09-2026
Estudis d'assignació del projecte:
DG ENG AERO/TELEMÀT
| Tipus: Individual | |
| Lloc de realització: EETAC | |
| Paraules clau: | |
| Emergency vehicles, intelligent transportation systems, traffic optimization, routing algorithms, traffic simulation, machine learning, integer linear programming (ILP), smart cities | |
| Descripció del contingut i pla d'activitats: | |
| Efficient mobility of emergency vehicles (ambulances, fire trucks, police vehicles) is a critical factor in reducing response times and improving public safety in large metropolitan areas. In dense urban environments such as the city of Barcelona, traffic congestion, complex road topologies, and dynamic traffic conditions significantly affect the effectiveness of emergency responses.
This project focuses on the design and evaluation of an infrastructure aimed at optimizing interurban and urban displacements of emergency vehicles in the city of Barcelona. The primary objective is to reduce travel times by proposing an intelligent routing and traffic-aware solution that leverages traffic data, optimization techniques, and simulation tools. The work will begin with an extensive review of the state of the art in emergency vehicle routing, intelligent traffic management systems, and smart city mobility solutions. Existing approaches will be analyzed and compared to identify their strengths, limitations, and applicability to the Barcelona urban context. Based on this analysis, the student will design a novel solution for emergency vehicle routing. The proposed solution may incorporate advanced optimization techniques, such as Integer Linear Programming (ILP), heuristic algorithms, or Machine Learning-based approaches, to dynamically adapt routes to traffic conditions. The solution will be validated through simulation. Microscopic traffic simulators such as SUMO (Simulation of Urban Mobility) will be used to model realistic traffic scenarios in Barcelona and to evaluate the performance of the proposed routing strategy against baseline approaches. A key component of the project will be analyzing current traffic conditions in Barcelona. This includes selecting representative areas or corridors, defining the study scenario, and processing traffic data. The student will be responsible for generating and curating datasets suitable for training and evaluating routing and optimization algorithms. Finally, the project will include the design of the overall infrastructure required to deploy the proposed solution. This may encompass data sources, communication components, decision-making modules, and interfaces with emergency services. The impact of different optimization algorithms on response time reduction will be thoroughly evaluated. The ultimate goal of the project is to develop and validate a demonstrator that serves as a foundation for future research in emergency mobility optimization and intelligent transportation systems. Objectives The main objectives of this project are: - To analyze and compare state-of-the-art solutions for emergency vehicle routing and traffic optimization. - To design a novel routing and infrastructure solution tailored to the urban environment of Barcelona. - To validate the solution with simulators such as SUMO. - To analyze current traffic conditions in Barcelona and define representative study scenarios. - To create datasets for training and evaluating routing and optimization algorithms. - To apply and assess optimization techniques, including ILPs and Machine Learning-based algorithms. - To evaluate the impact of the proposed solution on emergency vehicle travel times. |
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| Horari d'atenció a estudiants per a l'assignació de projecte: |
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