Intelligent Urban Traffic Management via Semantic Interoperability across Multiple Heterogeneous Mobility Data Sources

TL;DR

This paper presents a Semantic Web-based architecture that enhances interoperability among diverse mobility data sources, enabling integrated, data-driven urban traffic management solutions validated across multiple European cities.

Contribution

It introduces a novel architecture leveraging Semantic Web technologies to address interoperability issues in urban mobility data sources, facilitating integrated traffic management solutions.

Findings

Successful implementation in four European cities

Improved data findability and integration

Positive user feedback and lessons learned

Abstract

The integrated exploitation of data sources in the mobility domain is key to providing added-value services to passengers, transport companies and authorities. Indeed, multiple stakeholders operate and maintain different kinds of data but several interoperability issues limit their effective usage. In this paper, we present an architecture enabled by Semantic Web technologies to overcome such issues and facilitate the development of an integrated solution for mobility stakeholders. The proposed solution is composed of different components that address challenges for enabling data interoperability, from the findability of data sources to their integrated consumption adopting standardised data formats. We report on the implementation and validation in four European cities of the TANGENT solution enabling data-driven tools for the dynamic management of multimodal traffic. Finally, we discuss the feedback received by users testing the solution and the lessons learnt during its development.