ORCHESTRA synchronisiert verschiedene Verkehrsträger für ein modernes Verkehrsmanagementsystem
ORCHESTRA synchronisiert verschiedene Verkehrsträger für ein modernes Verkehrsmanagementsystem
Das Projekt ORCHESTRA will die Nutzung öffentlicher Verkehrsmittel durch eine bessere Abstimmung und Koordinierung einzelner Verkehrsarten vereinfachen. Zu diesem Zweck sollen sogenannte multimodale Verkehrsmanagementkonzepte entworfen und sowohl im städtischen als auch im ländlichen Raum umgesetzt werden. In zwei Pilotstätten in Italien und Norwegen sollen die theoretischen Projekterkenntnisse auch praktisch und unter Einbeziehung lokaler Stakeholder (z.B. Vekehrsbehörden, Nutzer:innen, politischen Entscheidungsträger:innen) erprobt werden. Das IKEM untersucht in ORCHESTRA rechtliche und ökonomische Fragestellungen. Im Mittelpunkt steht die Analyse der nationalen und europäischen Rechtsrahmen und die Ausarbeitung von Anpassungsvorschlägen. Außerdem arbeitet das IKEM zum Datenschutz im Projekt und untersucht mögliche Geschäftsmodelle für die Verkehrsmanagementkonzepte.
Freiberger, Anne; Hübers, Anna-Katharina; Gupte, DivyData Management PlanORCHESTRA Project Deliverable: D1.2. 2022. The data management plan (DMP) provides an overview of how research data in ORCHESTRA will be managed during the implementation phase, as well as after the end of the project. |
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Grosse, Benjamin et al.Pre-studies on environment analysis and driversORCHESTRA Project Deliverable: D2.2. 2022. The pre-studies on environment analysis and drivers provide an overview of the context in which the multimodal traffic management in ORCHESTRA will operate. |
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Freiberger, Anne; Priebe, Anna-Lena; Hübers, Anna-Katharina;Ethics, security, and gender balance planORCHESTRA Project Deliverable: D1.3. 2022. The ethics, security and gender balance plan provides an overview of the ethical questions that arise through the implementation of the MTME concept in ORCHESTRA. |
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Gupte, DivyBusiness Models for a Multimodal Traffic Management Ecosystem (MTME).Business model development based on “Business Model Canvas” and “Value Network” methodology. Abschlussarbeit im MBA Sustainable Mobility Management, TU Berlin. 2022. Traffic management focuses on ensuring safety, security, and efficiency across different modes of transport. Each mode of transport focuses on managing the traffic within their respective mode of transport. A Multimodal Traffic Management (MTM) approach will broaden scope and allow synchronised traffic management across different modes of transport such as road, rail, air, and sea. However, MTM is still at an early stage and needs to be analysed to have seamless integration within the existing transport ecosystem. This study establishes a common understanding of multimodal traffic management concepts and solutions, within and across different modes of transport, for various stakeholders and multiple contexts. Under the context of this study, stakeholders are comprised of partners focussing on road, rail, sea, and air transport. This study supports in creating a balanced and resilient multimodal traffic management ecosystem by bridging gaps caused due to barriers and laying out benefits to individual actors. This study focuses on developing business models for both public and private actors, which could be combined through Public-Private Partnerships (PPP) to come up with a futuristic business model. The business models are developed in such a way that both private and public actors can adopt them in a seamless way, without causing critical damage to their daily operations. The business models are developed combining different methodologies such as “Business Model Canvas (BMC)”, “Value Network (VN)”. BMC helps in understanding a business from economic viewpoint and VN helps in assessing social and ecological benefits. When combined these two approaches we can have a business model that focuses on economic, social, and environmental benefit. This study is developed within the framework of EU funded Horizon 2020 research and innovation project called “Orchestra”. The business models developed and discussed in this study are continuously evaluated by the project partners and is an ongoing process to achieve optimal business models for MTM. |
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Pfeifer, FriederikeImpulsvortrag – IKEM: Begleitforschung Klimaschutz, Energie und MobilitätmFUND-Ideensprint „Dateninnovationen für eine klimafreundliche Mobilität“, 18.05.2022, Berlin. 2022. Beim mFUND-Ideensprint zum Thema „Dateninnovationen für eine klimafreundliche Mobilität“ beleuchtet Friederike Pfeifer aus dem Fachbereich Mobilität die rechtswissenschaftliche Begleitforschung am IKEM und stellt in diesem Zuge aktuelle Forschungsprojekte des IKEM vor: „Orchestra – Multimodales Verkehrsmanagement“ und „AStriD – Autonome Straßenbahn im Depot“. |
ORCHESTRA – Coordinating and synchronising multimodal transport improving road, rail, water and air transport through increased automation and user involvement
Förder-/Auftraggeber: Europäische Kommission
Förderprogramm: Horizon 2020
Projektpartner: Applied Autonomy , Cerema , CertX , Deep Blue , ENAV , FSTechnology , Herøya Industripark , HES-SO , Information Sharing Company , IOTA Stiftung , ITS Norway , ROSAS Institut , S.E.A. , SINTEF , Statens Vesvegen , Technische Universität Delft
Laufzeit: 05/2021–05/2024
ORCHESTRA – Coordinating and synchronising multimodal transport improving road, rail, water and air transport through increased automation and user involvement
Förder-/Auftraggeber: Europäische Kommission
Förderprogramm: Horizon 2020
Projektpartner: Applied Autonomy , Cerema , CertX , Deep Blue , ENAV , FSTechnology , Herøya Industripark , HES-SO , Information Sharing Company , IOTA Stiftung , ITS Norway , ROSAS Institut , S.E.A. , SINTEF , Statens Vesvegen , Technische Universität Delft
Laufzeit: 05/2021–05/2024