In order to ensure a feasible parameterization of the business ecosystem concept and allow the implementation of the business modelling approach throughout the project, the first step followed by NEWBITS consortium at proposal stage has been to pre-define and select 4 case studies, linked to implemented and/or on-going projects and initiatives in specific domains of the C-ITS spectrum. The case studies will be a key element of the project, being deeply analysed following the integrated intelligence process and the value network analysis (VNA). Further case studies will be incorporated to ensure that the proposed project methodology is context-appropriate.
University VAOPoint Mobility
Transport Mode: Road
Transport Type: Personal
Geographic coverage: Urban / Motorway
Purpose:
- Traffic management
- Real-time parking information
- Public transport
- Environmental protection
C-ITS to manage the drivers behaviour crossing traffic lights intersections.
Transport Mode: Road
Transport Type: Personal / Public
Geographic coverage: Urban
Purpose:
- Road safety
- Traffic management
- Environmental protection
New ICT method to increase efficiency in logistic chain of ports.
Transport Mode: Road + Inland waterway
Transport Type: Private
Geographic coverage: Corridor (NL)
Purpose:
- Efficiency of container transport from deep sea terminals to the hinterland
- Security at inland terminals
- Profitability
- Information exchange
- Attractiveness of inland waterway transport
A Knowledge-based approach to understanding railway safety.
Transport Mode: Railway
Transport Type: Public / Freight
Geographic coverage: Regional (UK)
Purpose:
- Safety
- Maintenance of infrastructure
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University VAOPoint Mobility
Transport Mode: Road
Transport Type: Personal
Geographic coverage: Urban / Motorway
Purpose:- Traffic management
- Real-time parking information
- Public transport
- Environmental protection
Description
The University VAOPoint Mobility case study aims to increase the average occupation of a car striving towards a more rational use of cars in a University environment with high daily influx of private vehicles. It offers an intelligent carpooling service for daily mobility to the campus, where members of the University community can access numerous carpooling offers. In addition to traditional cost saving on sharing transportation expenses, VAOPoint decreases traffic congestion by promoting high-occupancy vehicles and thereby supports the reduction of users’ carbon footprint.
The analysis of this case study initiated by a medium-sized enterprise (Aslogic) and funded by the EC project (frontierCities) will include lessons learnt from the pilot project deployed at the Autonomous University of Barcelona (UAB) campus who has a mobility plan promoting collective transport, journeys by bicycles as well as more rational use of private vehicles matching the goals of VAOPoint. UAB campus gets filled up with over 13,000 vehicles of a very low occupation index: 1.2 people per vehicle – the same average as that of the metropolitan region of Barcelona. The NEWBITS business modelling methodology is expected to maximize full use of the case study’s potential to be transferred to other markets such as intercity solutions involving city councils and industrial district mobility.
Contact person
Miquelangel Piera miquelangel.piera@uab.cat
Universitat Autònoma de Barcelona -
C-ITS to manage the drivers behaviour crossing traffic lights intersections.
Transport Mode: Road
Transport Type: Personal / Public
Geographic coverage: Urban
Purpose:- Road safety
- Traffic management
- Environmental protection
Description
The analysis of this case study will benefit from lessons learnt from pilot projects implemented in an urban environment taking into account the urban infrastructure capacity and the benefits and costs for all stakeholders: municipality, private drivers, taxi, public transport (above all if they have priority), emergency vehicles (above all if they have priority), mobility agency, and others.
The analysis will consider relevant research and innovation done at European level in the deployment of C-ITS to manage the drivers behaviour crossing traffic lights intersections (eCoMove, COMPASS4D) and the cost of development and deployment of these C-ITS applications. Particularly, this case study will involve actors that participated in the COMPASS4D project, deploying a pilot system in Verona (Italy) in which selected vehicles were involved to have green light when approaching the intersection, thus avoiding stops and delays. Benefits of such services towards safer and cleaner road transport in urban areas will be considered in this case study as well.
A conjoint analysis will be performed aiming at obtaining the relative importance given by the end-users to each of the attributes of the product/service defined in the case study.
Contact person
Maurizio Tomassini mtomassini45@gmail.com
TTS Italia -
New ICT method to increase efficiency in logistic chain of ports.
Transport Mode: Road + Inland waterway
Transport Type: Private
Geographic coverage: Corridor (NL)
Purpose:- Efficiency of container transport from deep sea terminals to the hinterland
- Security at inland terminals
- Profitability
- Information exchange
- Attractiveness of inland waterway transport
Description
This case study is primarily focused on the SIEEG functionality (lead by Combi Terminal Twente and involving a number of key players in The Netherlands). It is currently at demonstration stage and embedded into the project platform managed by Dinalog. The project is expected to have a great impact in improving the efficiency of Rotterdam main port.
The application of NEWBITS methodology and ultimately definition of new business models will support this expected impact and increase the transferability potential of SIEEG to other EU ports sharing same main bottlenecks. -
A Knowledge-based approach to understanding railway safety.
Transport Mode: Railway
Transport Type: Public / Freight
Geographic coverage: Regional (UK)
Purpose:- Safety
- Maintenance of infrastructure
Description
CS4 brings the successful experience of the collection, management and analysis of safety data based on the needs of relevant communities of interest (e.g. in ITS safety) with a specific example of railway in the UK sector as deployed under the KEEP SAFE project. The analysis of the proposed CS will result in lessons to be learned by other modes of transport from the experience of the British railway industry as an essential component of a wider ecosystem with safety of passengers and their environment as a priority. These findings could contribute to higher ITS goals by introducing a different approach to safety based on the knowledge of the relevant communities of interest, resulting in a safety framework applicable in all modes of transport.
Furthermore, the analysis of KEEP SAFE transferable results, together the combination of a market-demand research and business modelling has the potential to support the future deployment of effective safety data management solutions, which cross the boundaries of a transport research and practice community to support intelligent system integration.