DELIVERABLES

The following deliverables are pending final EC approval

PART A - Research 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.

D1.2 NTM needs assessment and system requirements

This document aims at identifying the system requirements for the TANGENT functionalities for each
case study, based on a detailed definition and description of each case study and a comprehensive
consultation and engagement process with local stakeholders. In this way, it reports on the evaluation
of stakeholders’ needs and the analysis of the requirements of the local transport network for the
architecture definition, design, and operation of TANGENT services for advanced traffic and network
management.

D1.3 Multi-actor cooperation models for NTM (First release)

The first release of D1.3 reports on the analysis of multi-actor cooperation models for innovative network traffic management (NTM), considering the system’s architecture and operation, to develop optimal cooperation models and provide recommendations towards effective governance structures for network traffic management in the TANGENT case studies cities.

D1.4 Policy, regulatory and planning framework for TNM (First release)

The first release of D1.4 provides a preliminary analysis of the planning and regulatory framework in each TANGENT city, as well as at national and EU levels, towards the effective integration of Network Traffic Management solutions and multi-actor cooperation models in local sustainable urban mobility planning processes.

D1.5 Report on TANGENT forum activities

This deliverable focuses on the TANGENT Forum activities carried under Work Package 1 (WP1) i.e., multi-actor cooperation models & policies. Within Task 1.3 Stakeholder engagement and consultation, several TANGENT forum activities were executed, providing a platform ensuring feedback and consideration of perspectives from key stakeholders, steering knowledge exchange and synergies with other projects.

D1.6 Multi-actor cooperation models for NTM (Second release)

The release of D1.6 reports on the revised D1.3 which focuses on the analysis of multi-actor cooperation models for innovative network traffic management (NTM), considering the system’s architecture and operation, to develop optimal cooperation models and provide recommendations towards effective governance structures for network traffic management in the TANGENT case studies cities. The inputs gathered from the Stage 3 workshop, as described in the methodology section, have been utilised to address the challenges encountered, areas for improvement.

D1.7 Policy, regulatory and planning framework for TNM (Second release)

This deliverable is the second release of policy and regulatory framework on traffic network management, providing an update on the preliminary analysis of the planning and regulatory framework in each TANGENT city, as well as at national and EU levels, towards the effective integration of Network Traffic Management solutions and multi-actor cooperation models in local sustainable urban mobility planning processes.

D2.1 Data requirements and available data sources

The gathering of data sources is a fundamental activity to enable the development and testing of the TANGENT services for multimodal transport network management in the Athens, Lisbon, Manchester, and Rennes case studies. This deliverable provides a list of data requirements for the TANGENT services.

D2.2 Data-sharing governance model

D2.2 lays out TANGENT’s data-Sharing Governance model for managing data-sharing in the TANGENT architecture. The model identifies key processes to be addressed with the roles of the different stakeholders involved and the rules to apply.

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).

D3.2 Travel choice modelling (set of models, code) (First release)

This deliverable defines the process and methodology to develop travel choice models based on preference data elicited through a structured survey.

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.

D3.3 In-depth analysis of travel behaviour

The goal of D3.3 is to conduct a comprehensive study on how introducing new modes of transportation and traffic management strategies affects the appeal of various transportation options and the resulting choices of commuters in selecting these modes. The key strength of this work is the use of two complementary data sources that allow for the creation of econometric mode choice models that integrate both commuters’ perceptions on the attractivity of different modes, as reflected in stated preference data, and their real-world choices, as indicated by revealed preference data of their actual trips.

D3.4 Travel choice modelling (set of models, code) (Second release)

This document represents the second deliverable, namely D3.2 “Travel Choice Modelling” from Task 3.3, “Travel choice modelling”. The objective of the deliverable is to define the process and methodology to develop travel choice models based on preference data elicited through a structured survey.

D4.1 Report on the relevant state-of-the-art approaches for traffic predictions 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.

D4.4 Report on the detection and impact analysis of traffic events

The main goal of work package (WP) 4 is to develop a framework for real-time traffic monitoring and forecasting under various circumstances (e.g., large/sport event, roadworks, accidents, etc.) while incorporating novel traffic sensing technologies from smart infrastructure and sensors. It will extend the state-of-the-art regarding traffic forecasting approaches with a focus on modern and future mobility.
The objective of this document is to introduce the anomaly detection methods and duration models that are used in the case studies of the TANGENT project to detect and analyse the impact of various events which are extreme traffic conditions caused by, e.g., an accident or nonrecurrent congestion. Survival models are developed to determine the duration of the event.

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.

D6.3: Smart infrastructure index report (First release)

The definition of classifications schemes to evaluate the maturity, readiness or support infrastructures can provide for Connected, Cooperative, and Automated Mobility is essential to inform end-users, assist
operators, aid authorities and policymakers in planning, and manage infrastructure.

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.

D6.6 Smart infrastructure index report (Second release)

The shift towards Connected, Cooperative, and Automated Mobility (CCAM) represents a significant paradigm shift in mobility. To navigate this transition effectively, the establishment of standardized procedures for evaluating infrastructure capabilities is crucial. One of these procedures is the definition of classifications schemes to evaluate the maturity, readiness or support infrastructures can provide for CCAM. These classifications serve a multifaceted purpose, including informing end-users, assisting operators, and aiding authorities and policymakers in planning the evolution of CCAM. Furthermore, as smart infrastructures become more prevalent, these standardized approaches play a pivotal role in infrastructure management, by guiding planning future infrastructure improvements and investments to support higher levels of automation and advanced use cases.

D7.3 Assessment of the testing results in the case study of Rennes

Rennes Métropole is a grouping of 43 municipalities, centred around the city of Rennes, the capital of the Brittany region. It was composed of 451,762 inhabitants in 2018 (of which 217,728 in Rennes proper) and is experiencing significant population growth, with a forecast of 100,000 inhabitants additional in 2040. The goal of Métropoles in France is to build a better metropolitan area around the biggest cities, notably by synchronising the transport system. Rennes Métropole, as the Public Transport Authority, defines the overall transport strategy in its territory through its Urban Transport Plan and consequently organises the public transport policy in its 43 municipalities. The main policy objective is to reduce by 10% the overall number of trips by private car (in Km) between 2010 and 2030. Actions include strengthening the use of car-sharing, cycling and public transport and better managing the use of private cars (speed limitation, mitigating air pollution, and transport network optimisation).

D7.4 Assessment of the testing results in the case study of Lisbon

The Lisbon Metropolitan Area (LMA) is a grouping of 19 municipalities centered around the city of Lisbon, the capital of Portugal. It has over 2.8 million residents, with Lisbon alone being home to over half-a-million inhabitants. Ever since the COVID-19 pandemic, there has been a progressive worsening of congestion observed in the city, both due to an increase in the population around the LMA, and to a migratory effect of residents shifting away from the city center and towards other municipalities. As a high percentage of jobs are still located in the capital, this has led to a pronounced intensification of commuting traffic entering and exiting the city.

D7.5 Assessment of the testing results in the case study of Greater Manchester

Greater Manchester (GM) is a large city region in the North West of England with 2.73 million residents across 1,276 square kilometres. GM is the UK’s first combined authority (GMCA), bringing together 10 local authorities to address strategic challenges. With over 2.1 billion journeys annually, including 268 million by public transport, GM faces issues such as congestion, air quality, and heavy reliance on private vehicles. Transport for Greater Manchester (TfGM) plays a central role in managing the city’s multimodal transport network and is delivering the transition to the Bee Network, an integrated transport system.

D7.6 Assessment of the testing results in the case study of Athens

Athens is the capital of Greece and of the Attica region, as well as the largest city of Greece, and is one of the largest economic hubs in Southern Europe. The population of the wider metropolitan area of Athens is approximately four (4) million inhabitants, making Athens the eighth largest urban area in the European Union. The Municipality of Athens (Athens city centre) has a population of more than 600000 inhabitants and a land area of more than 38 km2. Due to the high density of the population, Athens faces severe congestion problems due to the rising demand for car trips and the lack of coordination between modes.

D7.7 Impact assessment report

This deliverable summarizes the impacts of three works on the TANGENT project. The deliverable builds upon the case study reports (D7.3, D7,4, D7.5, and D7.6) and links those results to the overall KPIs of the project. The deliverable first maps the four case studies and explains the concept of an impact assessment, followed by a description of the impact assessment methodology, the baseline situation in all case studies, the impacts of the project in the four case studies, and finishes with conclusions and recommendations.

D8.4 Final booklet

This deliverable represents D8.4, the Final Booklet in deliverable format for formal submission. This presents an overview of the project from the perspective of completion for the general public, with links within to deliverables which provide key aspects and more technical details for experts in their fields and other interested parties. This will be presented with finalised text within this document, with some room for minor changes or clarifications in the designed version.

D8.5 Policy recommendations

This policy report presents a comprehensive guide aimed at public authorities, providing strategic insights into the integration of multimodal traffic management (MTM) into policy and planning processes. It underscores the critical intersection between multimodal traffic management and policy, emphasising the importance of such integration for sustainable urban mobility.

PART B - Administrative Deliverables

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 networks 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.

D8.3 Report on dissemination activities (including cooperation with other projects) (First release)

This deliverable reports on dissemination activities, which includes cooperation with other projects and reviews the progress achieved in the first 18 months of the TANGENT project. First, it goes over the physical and digital project identity, which includes the project leaflet, roll-up banner, newsletters, website and social media channels. Then, the report breakdowns the publications, events and conferences which showcased the project’s ambitions, results and findings. As regards collaborations with external partners, it describes the activities of the 4FRONT Cluster (sister projects) as well as the TANGENT Advisory Board and Forum. Finally, the report gives an overview of the upcoming dissemination activities planned for the second part of the project.

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.

D9.3 IPR management and data protection (First Release)

This document provides an overview of the IPR management in TANGENT project, specifically
reviewing the approach of background and foreground management in the project.

D9.4 Ethics monitoring (First Release)

This deliverable updates on the procedures defined for carrying out the research in accordance with the ethical requirements at the EU level. This deliverable also covers the measures for the correct data management along the project, including personal data.

D9.5 Project management handbook (Second release)

This deliverable intends to gather the different updates on management made, since D9.1. was delivered in month 2 of the project (November 2021), up to month 18. 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.

D9.6 Project management handbook (Third release)

This deliverable, “D9.6. Project management handbook. Third release.”, intends to gather the different updates on management made, since D9.1. (M2, November 2021) and D9.5 (M18, February 2023) were delivered.

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.

D9.7 Data management plan (Second release)

This report updates the Data Management Plan (D9.2) that was submitted in M6 of the project. For this, D9.7. reviews the methodology applied for the appropriate creation, management and storage of datasets defined in D9.2.

D9.8 Data management plan (Third release)

This report updates the Data Management Plan (DMP). The DMP was initially submitted in Month 6 (D9.2) and subsequently updated in Month 18 (D9.7).

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 IPR management and data protection (Second release)

This report updates the IPR management and Data Protection. First Release (D9.3) submitted in M12 (August 2022) of the project. For this, D9.9 reviews the methodology applied for the appropriate creation, management and storage of datasets defined in D9.2 and updated in D9.7.

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.

D9.10 Ethics monitoring (Second release)

Adherence to ethical principles and regulations was crucial for the TANGENT successful implementation. This deliverable outlines the updated procedures for conducting research and exploitation in compliance with EU and national ethical standards. We have revised the informed consent templates that must be completed by individuals participating in project activities, workshops, the TANGENT Forum, and traveler behavior modeling. This deliverable also introduces updated measures for effective data management throughout the project, including the handling of personal data. The project implemented various mechanisms for effective data management and protection, as outlined in the Deliverable D9.8. Based on the GDPR privacy policy (Articles 12, 13, and 14) the TANGENT dashboard privacy policy was created and published.

Therefore, the deliverable presented the updated version of the D9.4 submitted in month 12.