DELIVERABLES

D1.1 Multi-actor co-creation strategies for each Case Study

This deliverable aims at defining the multi-actor co-creation process within the TANGENT project which will guide the effective engagement of local stakeholders and ensure coordination of inputs across the project. Such active collaboration among local actors will enable TANGENT to tailor its outputs to the specific challenges and conditions of each Case Study and find practical solutions for effective multi-actor cooperation.

D3.1 Travel behaviour: state-of-the-art, current and future mobility patterns

This deliverable aims to identify all relevant factors affecting travel decision-making and to set the framework for an inclusive mobility data collection plan. In order to achieve this goal, the international literature consisting of published papers and scientific books is collected and critically analysed based on three major axes:
1. The most relevant approaches to collect data on travellers’ decision-making process.
2. The state-of-the-art approaches to analyse and model travel decisions.
3. The most important factors that may affect the decision-making process of travellers with special emphasis on infrastructure- and system-related factors (e.g., the introduction of new services and the occurrence of network disruptions).

D4.1 Report on the relevant state-of-the-art approaches for traffic pedictions and simulations

This deliverable explores the state-of-the-art prediction methodologies such as data-driven and simulation-based estimation and prediction approaches, both on supply and demand side. The focus of the report is on deep learning approaches for efficient numerical representations of traffic networks, data availability and granularity, new data sources and graph theory. The analysis is widened with aspects such as transferability and generalizability of the different methods.

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.

D5.1 Analysis of current approaches in optimization of transport network management

This deliverable aims to analyze scientific literature related to current approaches to transport network management optimization within a multi-actor setting. Concretely, we focus our literature review on the three following problems because they play a relevant role in the management: Signal Vehicle Couple Control with CAVs, Synchronization of shared and on-demand mobility with transit modes, and Dynamic Congestion Pricing.

D8.1 Dissemination and communication plan

This deliverable (DCP) is TANGENT’s guiding document for all activities related to the promotion and visibility of the project, the flow of results and benefits to the public and the transfer of outcomes and lessons learnt to leading experts.

D8.2 Website and social network profiles

This deliverable gives proof and details of TANGENT website and social media accounts that will provide information on the evolution of the project to a wide audience. It provides detailed information about the overall structure, layout, and main features of the project website, which will be the most relevant interface to the public and useful to showcase all related information and disseminate the future results achieved.

D9.1 Project management handbook (first release)

This deliverable 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.

D9.2 Data Management Plan (First release)

This deliverable describes the Data Management Plan (DMP) for the TANGENT project. The DMP provides an analysis of the main elements of the data management policy that will be used throughout the project by the project partners, with regard to all the datasets that will be generated, harvested and/or used by the project.