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Combinatorial Optimization for Behavioral Response Analysis

Cel

In the evolving mobility landscape, travel demand models are crucial
for public authorities, consulting firms, or transportation
operators. These tools are indispensable for developing and managing
the transportation systems of the future. Built on choice models, they
predict a wide range of traveling decisions. Current models face
challenges in (i) enumerating all alternatives and (ii) implicitly
treating constraints. Combinatorial by nature, travel decisions
involve a huge number of alternatives, and are more often influenced
by constraints than preferences.

At a time where most trips are made for leisure, the
behavior of social groups such as families, friends, and colleagues
plays a major and complex role. Also, analyzing behavior over time is
essential because of the significant role played by learning, habits
and inertia.

The key idea of this project is to bypass the need for explicit
enumeration of alternatives by representing constraints directly
through combinatorial optimization. This methodological shift enables
the development of a new generation of travel demand models that embed
the full richness of advanced discrete choice frameworks. In
particular, the proposed approach will incorporate latent variables to
capture complex behavioral dimensions such as social norms, habitual
behavior, bounded rationality, and equity concerns. By explicitly
integrating cutting-edge operations research techniques with
behaviorally informed modeling, the project paves the way for
scalable, realistic, and theory-driven simulations of individual and
group travel decisions across time.

Our research objectives are to: validate and operationalize
combinatorial choice models; enhance their scalability through
advanced optimization and simulation methods; investigate their
capacity to capture behavioral dynamics and social influences; and
assess their significant potential for applications beyond travel
demand modeling.

Dziedzina nauki (EuroSciVoc)

Projekt nie został jeszcze sklasyfikowany według klasyfikacji EuroSciVoc.
Wskaż dziedziny nauki, które twoim zdaniem są najbardziej istotne z punktu widzenia tego projektu i pomóż nam usprawnić naszą usługę klasyfikacji.

Słowa kluczowe

Program(-y)

Temat(-y)

System finansowania

HORIZON-ERC - HORIZON ERC Grants

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Zaproszenie do składania wniosków

(odnośnik otworzy się w nowym oknie) ERC-2025-ADG

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Instytucja przyjmująca

ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
Wkład UE netto
€ 2 497 220,00
Adres
BATIMENT CE 3316 STATION 1
1015 Lausanne
Szwajcaria
Region
Schweiz/Suisse/Svizzera Région lémanique Vaud
Rodzaj działalności
Higher or Secondary Education Establishments
Linki
Koszt całkowity
Brak danych

Beneficjenci (1)