Speakers
Description
Today, mobility faces significant challenges, including last-mile connectivity, resource efficiency, and optimisation, all while maintaining service quality and environmental sustainability. These challenges are further amplified by factors such as urbanisation and territorial dispersion.
The core challenge lies in designing a flexible and adaptable model that responds to the specific needs of different territories and user categories, seamlessly integrating with existing transport systems. The goal is to enhance operational efficiency without compromising on quality or sustainability, bridging the gaps of traditional public transport and creating new opportunities for mobility.
This paper explores the application of a heuristic optimisation algorithm to address a capacitated fleet vehicle routing problem, aimed at replacing conventional public transport with an adaptive on-demand transport service that supports multi-pickup and multi-drop-off operations. Developed in collaboration with a private transport company, the proposed system replaces fixed routes in selected areas of the Cuneo province with adaptive on-demand public transport. A key aspect of the proposed algorithm is its ability to incorporate parameters that prioritise people in vulnerable situations, ensuring that the needs of these individuals are addressed in the optimisation process.
In this context, on-demand transports, dynamically designed to adapt routes based on passenger demands and passengers' needs, represent an interesting field of study. This approach is particularly beneficial for vulnerable categories, as it allows for prioritising their mobility needs, ensuring they have greater access to transport options. By incorporating such inclusivity into the system, the method supports a more equitable and efficient mobility solution. Furthermore, it aligns with the growing emphasis on sustainable mobility solutions, reducing reliance on private vehicles, and fostering greater social inclusion and accessibility within transportation networks.
| Keywords | Vulnerable people; Demand-responsive transport systems; Routing; Rural areas. |
|---|---|
| Best Congress Paper Award | No |
