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The Hague aims to introduce demand responsive transportation in vulnerable neighbourhoods to reduce car traffic and increase accessibility in a sustainable way. The key question is how this can be done as efficiently as possible while offering an attractive alternative to the car.

We will collaborate with authorities, consultants and a mobility provider (Routing Company) to implement and gradually improve the service. AI is applied to develop agent-based simulation models that are used to develop the service in an iterative way. First, an agent-based model, representing the population, built environment and transportation context, is developed to predict demand for transportation.

The agent-based model serves as a base for implementing a demand responsive transportation system in real life, which uses optimization algorithms to provide efficient and attractive connections. Data obtained from the implementation is then used to improve the predictive capacity of the agent-based model, using self-learning algorithms, facilitating in turn an upgrade of the real life system. In an iterative cycle, the agent-based model and the demand responsive transportation system are then further developed.

Academic supervisors

• Prof. Dick Ettema
• Prof. Mehdi Dastani

Partners

Ministry of Infrastructure and Water Management, City of The Hague, Holland Branding, Rebel Group, Routing Company