Travel Companion enhancements and RIDE-sharing services syncronised to RAIL and Public Transport

Risultati finali

This deliverable will include the outcome of the iteration process aimed at defining targets for the assessment of the performance of the 4 demos, by means of KPIs.

Final Summary Report of the Project

Will provide a full review of the project and conclusions to the achievements obtained The report aims to address the scientific and technical findings of the project and provide a lookback on the S2R IP4 travel services such as interoperability framework complementary TSPs personal travel companion seamless ticketing etc while articulating paths for future research and next steps for commercializationimplementation of the produce

Demo implementation plans

This report will include the 4 implementation plans as defined and agreed with demo responsible and partners.

Final conceptualization of choice criteria and incentives

This report describes the results of the survey on travellers’ behaviour and the final conceptualization of choice criteria and incentives, including the final model of contextual user preferences. Moreover, it provides the clustering of travellers having similar characteristics and behaviour.

Final set of requirements and specification for complementary travel expert services

This report releases to WP3 the final and complete set of requirements and specifications for complementary travel expert services based on the results described in D2.4 and D2.5.

Performance targets and KPIs

This report will describe the agreed performance targets and associated metrics resulting in a set of common evaluation KPIs

State-of-the-art of ride-sharing in target EU countries

This report describes the state-of-the-art of ride-sharing systems in target EU countries focusing on technological, business and legal aspects. While at the state of the art approaches usually recommend solutions based on the experience of the users who covered the same area or performed the same travels, in ride sharing modes it is mandatory to understand with whom you are traveling. For this reason, D2.2 will define target types of travellers with similar needs and preferences. These targeted types of travellers for the survey to be conducted in Task 2.2.

Transferability and recommendations handbook
First set of requirements and specification for complementary travel expert services

This report releases to WP3 a first set of requirements and specifications for complementary travel expert services based on the status of IP4 solutions and on the results described in D2.1 and D2.2.

Exploitation strategy
Evaluation and Impact assessment

This deliverable will report on the outcomes of the evaluation of the four demonstration sites as well as the overall expected impact resulting from RIDE2RAIL and the wider implementation of IP4 ecosystem

Demo monitoring report

To be developed in cooperation with Task 53 This deliverable will include the outcome of the monitoring process as envisaged in D43 The deliverable will end with conclusions and recommendations for replicability

First conceptualization of choice criteria and incentives

This report summarizes the analysis of the state-of-the-art on the definition of travel categories, traveller’s preferences, and incentive mechanisms. Moreover, it provides a first conceptualization of choice criteria and incentives, including the first version of the model of contextual user preferences. The proposed conceptualization will go beyond the state-of-the-art by using a mix of bottom-up and top-down approaches, including (but not limited to) multi-criteria clustering, pattern detection analysis and ontology modelling to create a holistic user model.

Recommendations and criteria for a successful ride-sharing in the IP4 ecosystem

This report describes the results of the survey on preferences and expectations of ride-sharing TSPs and ride-sharing travellers, and provides recommendations and criteria for the integration of a successful ride-sharing in the IP4 ecosystem.

Demo execution report

This deliverable will report the main facts about the execution of the 4 demos The deliverable will be divided into 4 subreports each led by demo task leaders

Monitoring tools

This deliverable will include questionnaires reporting and data collection templates and monitoring manuals customised for the 4 demos

MaaS Assessment Tool

This report will describe a proposed standardised approach to assessing the acceptance and usability of MaaS mobile apps including the RIDE2RAIL enhanced travel companion and IP4 ecosystem using a standardised scale with usability usercentred design and mobile applications at its core

Source code of Algorithms for optimal synchronisation of shared-mobility and mass transit

This deliverable encompasses the implementation of several modules: (i) module for the synchronization of shared-mobility and mass transit; (ii) trip ranking module; (iii) analytics module for the mining of user preferences.

Crowd-based Travel Expert Service

Implementation of the Crowd-based TSP, and in particular of the components that allow users and communities to build their own TSPs to offer shared rides.

Travel Companion enhancements

Implementation of the modules for the enhancement of the TC, and their integration in an existing TC.

Ride-Sharing Agreements Ledger Module

Purpose-built RIDE2RAIL blockchain and Ricardian contracts implementation.

Quantitative estimate of service quality factors

Implementation of the Trip category estimator modules

Project visual identity and website

Logo, Roll-up, Project’s templates, social media and website.

Leaflet

Project Leaflet

Pubblicazioni

Shared Mobility and Last-Mile Connectivity to Metro Public Transport: Survey Design Aspects for Determining Willingness for Intermodal Ridesharing in Athens

Autori: Alexandros Deloukas, Georgios Georgiadis, Panagiotis Papaioannou
Pubblicato in: Computational Science and Its Applications – ICCSA 2020 - 20th International Conference, Cagliari, Italy, July 1–4, 2020, Proceedings, Part II, Numero 12250, 2020, Pagina/e 819-835, ISBN 978-3-030-58801-4
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-58802-1_59

Towards Learning Travelers’ Preferences in a Context-Aware Fashion

Autori: A. Javadian Sabet, M. Rossi, F. A. Schreiber, L. Tanca
Pubblicato in: Ambient Intelligence – Software and Applications - 11th International Symposium on Ambient Intelligence, Numero 1239, 2021, Pagina/e 203-212, ISBN 978-3-030-58355-2
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-58356-9_20

Personalized Context-Aware Recommender System for Travelers

Autori: Shekari, Mahsa; JAVADIAN SABET, Alireza; Guan, Chaofeng; Rossi, MATTEO GIOVANNI; Schreiber, Fabio A.; Tanca, Letizia
Pubblicato in: Proceedings of the 30th Italian Symposium on Advanced Database Systems, 2022, Pagina/e 497-504
Editore: CEUR-WS

Towards a More Informed Multimodal Travel Shopping

Autori: Mario Scrocca, Marco Comerio, Damiano Scandolari, Irene Celino
Pubblicato in: """Proceedings of the 3rd International Workshop Semantics And The Web For Transport co-located with Semantics Conference (SEMANTiCS 2021)""", 2021
Editore: CEUR

Understanding Ride-Sharing Systems in Urban Areas: The Role of Location, Users and Barriers

Autori: Lambros Mitropoulos, Annie Kortsari, Georgia Aifadopoulou
Pubblicato in: 48th European Transport Conference 2020, Numero 9-11 September 2020, 2020
Editore: Association for European Transport

Enabling Cross-Border Travel Offers Through National Access Point Federation via Metadata Harmonisation

Autori: Alessio Carenini, Andrea Fiano, Mario Scrocca, Marco Comerio, Irene Celino
Pubblicato in: """Proceedings of the 3rd International Workshop Semantics And The Web For Transport co-located with Semantics Conference (SEMANTiCS 2021)""", 2021
Editore: CEUR

Co-modality as a tool for improvement of public transport

Autori: A. Pálková, J. Mašek, D. Pribula – UNIZA
Pubblicato in: TRANSPORT MEANS 2022, Sustainability: Research and Solutions No., date...: PROCEEDINGS OF THE 26th INTERNATIONAL SCIENTIFIC CONFERENCE, PART II, October 05-07 , 2022, Numero October 05-07, 2022 - 1822-296 X (print), ISSN 2351-7034 (on-line), 2022, Pagina/e 646-650
Editore: Kaunas University of Technology, Lithuania

Delay Estimation for Shared Rides From GPS Data

Autori: Sepehr Samavati; Alexander Nemirovskiy; Matteo Rossi
Pubblicato in: Proceedings of the IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), 2022, Pagina/e 2655-2662
Editore: IEEE
DOI: 10.1109/itsc55140.2022.9922316

Modelling Business Agreements in the Multimodal Transportation Domain Through Ontological Smart Contracts

Autori: Mario Scrocca, Marco Comerio, Alessio Carenini, Irene Celino
Pubblicato in: Towards a Knowledge-Aware AI (proceedings of SEMANTiCS 2022, the 18th International Conference on Semantic Systems), 2022
Editore: IOS Press
DOI: 10.3233/ssw220016

Preference Mining in the Travel Domain

Autori: Alireza Javadian Sabet, Sankari Gopalakrishnan, Matteo Rossi, Fabio A. Schreiber, Letizia Tanca
Pubblicato in: 2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA), 2021, Pagina/e 358-365, ISBN 978-1-6654-1867-6
Editore: IEEE
DOI: 10.1109/icaica52286.2021.9498231

Semantic Conversion of Transport Data Adopting Declarative Mappings: an Evaluation of Performance and Scalability

Autori: Mario Scrocca, Alessio Carenini, Marco Comerio, Irene Celino
Pubblicato in: """Proceedings of the 3rd International Workshop Semantics And The Web For Transport co-located with Semantics Conference (SEMANTiCS 2021)""", 2021
Editore: CEUR

Carpooling to public transport: Exploring drivers’ characteristics and factors

Autori: Lambros Mitropoulos, Anni Kortsari*, Georgia Ayfantopoulou
Pubblicato in: ICTR, Numero 1st of September, 2021
Editore: ICTR

Context Awareness in the Travel Companion of the Shift2Rail Initiative

Autori: Alireza Javadian Sabet, Matteo Rossi, Fabio A. Schreiber, Letizia Tanca
Pubblicato in: Proceedings of the 28th Italian Symposium on Advanced Database Systems, 2020, Pagina/e 202-209
Editore: CEUR Workshop Proceedings

THOR: A Hybrid Recommender System for the Personalized Travel Experience

Autori: Alireza Javadian Sabet; Mahsa Shekari; Chaofeng Guan; Matteo Rossi; Fabio Schreiber; Letizia Tanca
Pubblicato in: Big Data and Cognitive Computing, Numero Volume 6; Numero 4;, 2022, ISSN 2504-2289
Editore: mdpi
DOI: 10.3390/bdcc6040131

Factors Affecting Drivers to Participate in a Carpooling to Public Transport Service

Autori: Lambros Mitropoulos,Annie Kortsari and Georgia Ayfantopoulou
Pubblicato in: Sustainability, Numero 13(16), 9129, 2021, ISSN 2071-1050
Editore: MDPI Open Access Publishing
DOI: 10.3390/su13169129

Risultati finali

Pubblicazioni

Condividi questa pagina

Scarica