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To collect data for creating and calibrating travel choice models, a travel behaviour survey was designed to determine how the introduction of new services, the new traffic management strategies or the alteration of strategic goals in a city may affect travellers’ choices. Based on the collected sample, parametric (Multinomial Logit) and machine learning (Random Forest) models have been developed to predict the mode choice in an aggregated way. Overall, this study’s findings aim to provide a basis for forecasting long-term demand shifts and provides valuable insights into travel mode choice which can inform future urban mobility planning efforts.
The state-of-the-art provides an overview of what has been done in the field of traffic state predictions and simulations and what should be further explored. The results of this exploration will provide the base for the development of the techniques for the remaining tasks of this WP.
This deliverable introduces the relevancy of smart infrastructure classifications based on a literature review, shares best practices and identifies relevant requirements. It showcases TANGENT’s own smart infrastructure classification, the Smart Infrastructure Classification Index (SICI), laying out the TANGENT classification categories, its evaluation criteria, and its integration into the TANGENT’s platform. It presents the evaluation process of each SICI category, by providing a detailed list of evaluation criteria for each of the items in each of the categories. Finally, this deliverable introduces how the consortium will implement SICI in TANGENT’s integrated platform.
D9.1 intends to provide useful information to all partners about the procedures of the project, its management structure, main roles, working procedures, internal communication and decision-making procedures, reporting procedures, documents and deliverables quality management process.
This report covers the changes in managerial aspects related to project structure, consortium coordination procedures, quality and risk management, project reporting, document management, decision-making and conflict resolution and payment procedures. Moreover, the amendment (AMD-955273-22) to the TANGENT project is introduced in separate sections.
Deliverable D9.8 identifies research data generated, modified, or used up to Month 39. It reviews the data management methodology used throughout the project. The report includes the new added data types, formats, TANGENT tool development data, generated reports, and other handled data.
D9.9. identifies different aspects related to data protection and its legal aspects of each partner, upgraded and used in the project up to end of project (M39). This document provides an overview of the current IPR management in TANGENT project, specifically highlighting the approach of background and foreground management in the project.
Therefore, the deliverable presented the updated version of the D9.4 submitted in month 12.