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CORDIS

ENHANCED DATA PROCESSING TECHNIQUES FOR DYNAMIC MANAGEMENT OF MULTIMODAL TRAFFIC

Risultati finali

Data Management Plan. Second release

The DMP will specify the data sets and procedures to consider in the management of all the data collected during the project ensuring the correctness and regulatory compliance in the treatment of information

Ethics monitoring. First release

The document will contain all the ethical requirements and issues arise in this project and the processes carried out to solve them

Travel behaviour: State-of-the-art, current and future mobility patterns

This deliverable will include an extensive list of factors affecting travel related decisions including users specific needs feelings and perceptions It would also provide critical insights regarding mobility patterns modifications in the era of multimodal and automated transport services

Multi-actor co-creation strategies for each Case study.

This deliverable defines clear strategies and time plans for the cocreation activities advanced for each case study identifying key actors involved suitable timeframe for the events objectives and potential risks within each stage of cocreation and other relevant factors to be considered

Report on the relevant state-of-the-art approaches for traffic predictions and simulations.

Analysis of the requirements and limitations for the future network flows predictions and simulations both from network demand and supply side

NTM needs assessment and system requirements.

This deliverable reports on the evaluation of stakeholder and user needs and the analysis of the system architecture and its technical and operational requirements for each case study

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

Document summarizing the liaisons and synergies generated with other RD projects and European initiatives

Data requirements and available data sources

This deliverable provides a clear map of data requirements for the TANGENT solution available data sources and data interoperability issues to be addressed by TASK 23

Policy, regulatory and planning framework for TNM. First release

This deliverable provides guidance to local authorities on the effective integration of the developed NTM capabilities models and tools into their planning and decisionmaking processes It builds upon SUMP methodology and the developed guidance to handle innovative mobility solutions eg CoEXists Automationready framework SUMP Topic Guide to support and maximise takeup of TANGENTs outputs and outcomes

Project management handbook. Second release

This report will set up the baseline on organisation structure of the consortium Also the quality procedures for achieving top quality results will be covered

Project management handbook. First release

This report will set up the baseline on organisation structure of the consortium Also the quality procedures for achieving top quality results will be covered

Analysis of current approaches in optimization of transport network management

Catalogue of the different techniques for transport networkoptimization in a multiactor setting including the calibration of arbitration models

Multi-actor cooperation models for NTM. First release

D13a reports on the analysis of multiactor cooperation models for innovative NTM studying the systems architecture and operation to develop optimal cooperation models and provide recommendations towards effective governance structures for NTMM12

IPR management and Data Protection. First release.

This deliverable will include the IPR management and data protection rules agreed upon the project

Data-sharing governance model.

This deliverable provides the governance model including the necessary structures and processes for the strategic and operational management of the data layer of the TANGENT solution Moreover this deliverable provides the metadata profile for the description of TANGENT datasets and guidelines on how to apply the FAIR data principles to the transportation domain

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

Includes the results of the travel choice models and the implementation of these models to real world scenarios.

Website and social networks profiles.

Online channels where all the relevant information and accomplishments from the project will be published and promoted.

Data Management Plan. First release

The DMP will specify the data sets and procedures to consider in the management of all the data collected during the project ensuring the correctness and regulatory compliance in the treatment of information

Pubblicazioni

Efficient Traffic Demand Forecasting Using A Meaningful Representation With Social Multiplex Networks and Community Detection

Autori: Eleftheria Karakitsou, Panagiotis Fafoutellis, Eleni I. Vlahogianni
Pubblicato in: hEART Symposium 2022, Numero (10th hEART) 1-3 June 2022, Leuven, Belgium, 2022
Editore: hEART Symposium 2022
DOI: 10.5281/zenodo.8169405

A Multi-level Approach to Link Smooth Driving with Safe Driver Behavior

Autori: Eleni Mantouka, Panagiotis Fafoutellis, Dimitrios Tselentis, Eleonora Papadimitriou, Eleni Vlahogianni, George Yannis
Pubblicato in: TRB Annual Meeting 2023, Numero (102nd TRB) 8-12 January 2023, Washington DC, USA, 2023
Editore: TRB Annual Meeting 2023
DOI: 10.5281/zenodo.8169360

Multimodal Traffic Demand Prediction Using a Community Detection Framework on Social Multiplex Networks

Autori: Panagiotis Fafoutellis, Eleftheria Karakitsou, Eleni I. Vlahogianni
Pubblicato in: TRB Annual Meeting 2023, Numero TRB Annual Meeting 2023, 2023
Editore: TRB Annual Meeting 2023

A Multi-level Approach to Link Smooth Driving with Safe Driver Behavior

Autori: Eleni Mantouka, Panagiotis Fafoutellis, Dimitrios Tselentis, Eleonora Papadimitriou, Eleni Vlahogianni, George Yannis
Pubblicato in: TRB Annual Meeting 2023, Numero (102nd TRB) 8-12 January 2023, Washington DC, USA, 2023
Editore: TRB Annual Meeting 2023

Travel Behavior Shifts under Extreme System-Level Disruptions

Autori: Christina Gasparinatou, Eleni Mantouka, Eleni Vlahogianni, Antonio David Masegosa, Leire Serrano
Pubblicato in: Transport Research Arena TRA Lisbon 2022, Numero 14-17 November 2022, Lisbon, Portugal, 2022
Editore: Transport Research Arena TRA Lisbon 2022
DOI: 10.5281/zenodo.8169441

Investigating the acceptance and willingness-to-pay of an urban pricing scheme: The case of Athens

Autori: Christina Gasparinatou, Eleni Mantouka, Eleni Vlahogianni, John Golias
Pubblicato in: hEART Symposium 2022, Numero (10th hEART) 1-3 June 2022, Leuven, Belgium, 2022
Editore: hEART Symposium 2022
DOI: 10.5281/zenodo.8169437

Investigating the acceptance and willingness-to-pay of an urban pricing scheme: The case of Athens

Autori: Christina Gasparinatou, Eleni Mantouka, Eleni Vlahogianni, John Golias
Pubblicato in: hEART Symposium 2022, Numero (10th hEART) 1-3 June 2022, Leuven, Belgium, 2022
Editore: hEART Symposium 2022

Multimodal Traffic Demand Prediction Using a Community Detection Framework on Social Multiplex Networks

Autori: Panagiotis Fafoutellis, Eleftheria Karakitsou, Eleni I. Vlahogianni
Pubblicato in: TRB Annual Meeting 2023, Numero (102nd TRB) 8-12 January 2023, Washington DC, USA, 2023
Editore: TRB Annual Meeting 2023
DOI: 10.5281/zenodo.8169389

Travel Behavior Shifts under Extreme System-Level Disruptions

Autori: Christina Gasparinatou, Eleni Mantouka, Eleni Vlahogianni, Antonio David Masegosa, Leire Serrano
Pubblicato in: Transport Research Arena TRA Lisbon 2022, Numero 14-17 November 2022, Lisbon, Portugal, 2022
Editore: Transport Research Arena TRA Lisbon 2022

Efficient Traffic Demand Forecasting Using A Meaningful Representation With Social Multiplex Networks and Community Detection

Autori: Eleftheria Karakitsou, Panagiotis Fafoutellis, Eleni I. Vlahogianni
Pubblicato in: hEART Symposium 2022, Numero (10th hEART) 1-3 June 2022, Leuven, Belgium, 2022
Editore: hEART Symposium 2022

Travel behavior shifts under extreme system-level disruptions

Autori: Gasparinatou, Christina; Mantouka, Eleni G.; Vlahogianni, Eleni I.; Masegosa, Antonio David; Serrano, Leire
Pubblicato in: Numero 9, 2023
Editore: Elsevier
DOI: 10.5281/zenodo.8169442

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