optiTruck Stakeholder Questionnaire

optiTruck is a Horizon2020 project targeting optimal fuel consumption with predictive powertrain control and calibration for intelligent Trucks bringing together the most advanced technologies from powertrain control and intelligent transport systems in order to achieve a global optimum for fuel consumption (at least 20% reduction) as well as other energy sources and consumables while achieving Euro VI emission standards for heavy duty road haulage (40t).

optiTruck established a Stakeholder Forum, launched in February 2018 with the organisation of an international Europe-USA webinar on "Reducing emissions with innovative powertrains".

The main outcome of this first Stakeholder Forum event was the identification of a number of common challenges. This short questionnaire aims at collecting the input of interested stakeholders on how to tackle those challenges.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 713788.

Participation to the Survey

The nature of this survey is completely voluntary. Participants are not forced to take part into the project and no negative consequences will derive from declining the participation. All collected data will be securely anonymised and confidential. Participants won’t be identifiable as the project ensures a complete privacy of their information.

When filling out the survey, you are free to decline to answer questions on topics and questions that you do not wish to answer/discuss. You will also be asked if you can be contacted for follow up questions, clarifications or further participation over the duration of the project.

Protection of Information

All information collected will be securely stored in the optiTruck servers, which are equipped with security measures that guarantee the confidentiality, integrity and privacy of the information according to the General Data Protection Regulation (GDPR) 2016/679 of 27 April 2016 as well as the national legislation.

Questions marked with a * require an answer.

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* 1. Your first name

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* 2. Your last name

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* 3. Name of the organisation you work for/represent

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* 4. Your email address

Provide your email address to receive the outcomes of this survey. Your email address will not be used for other purposes or shared with third parties.

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* 5. Please select the stakeholder group that best represents you

Vehicle and equipment manufacturers/suppliers/repairs

Fleet operators

Regional or local public authorities

Societal interests and/or consumer rights

Research/Academia/Consultancies

ITS service providers

Telecommunications providers

Road authorities

Road user

Other (please specify)

Predictive future: what data do we really need?

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* 6. Rank the importance of the following data items by order of priority (1=lowest priority; 5= highest priority)

	1 (lowest priority)	2 (low priority)	3 (medium priority)	4 (high priority)	5 (highest priority)
Road data - slope [%]	Road data - slope [%] 1 (lowest priority)	Road data - slope [%] 2 (low priority)	Road data - slope [%] 3 (medium priority)	Road data - slope [%] 4 (high priority)	Road data - slope [%] 5 (highest priority)
Road data - curvature [1/m]	Road data - curvature [1/m] 1 (lowest priority)	Road data - curvature [1/m] 2 (low priority)	Road data - curvature [1/m] 3 (medium priority)	Road data - curvature [1/m] 4 (high priority)	Road data - curvature [1/m] 5 (highest priority)
Traffic - congestion location [Lat, Long]	Traffic - congestion location [Lat, Long] 1 (lowest priority)	Traffic - congestion location [Lat, Long] 2 (low priority)	Traffic - congestion location [Lat, Long] 3 (medium priority)	Traffic - congestion location [Lat, Long] 4 (high priority)	Traffic - congestion location [Lat, Long] 5 (highest priority)
Traffic - congestion length [m]	Traffic - congestion length [m] 1 (lowest priority)	Traffic - congestion length [m] 2 (low priority)	Traffic - congestion length [m] 3 (medium priority)	Traffic - congestion length [m] 4 (high priority)	Traffic - congestion length [m] 5 (highest priority)
Vehicle position [Lat, Long]	Vehicle position [Lat, Long] 1 (lowest priority)	Vehicle position [Lat, Long] 2 (low priority)	Vehicle position [Lat, Long] 3 (medium priority)	Vehicle position [Lat, Long] 4 (high priority)	Vehicle position [Lat, Long] 5 (highest priority)
Vehicle speed [m/s]	Vehicle speed [m/s] 1 (lowest priority)	Vehicle speed [m/s] 2 (low priority)	Vehicle speed [m/s] 3 (medium priority)	Vehicle speed [m/s] 4 (high priority)	Vehicle speed [m/s] 5 (highest priority)
Vehicle acceleration [m/s^2]	Vehicle acceleration [m/s^2] 1 (lowest priority)	Vehicle acceleration [m/s^2] 2 (low priority)	Vehicle acceleration [m/s^2] 3 (medium priority)	Vehicle acceleration [m/s^2] 4 (high priority)	Vehicle acceleration [m/s^2] 5 (highest priority)
Weather - temperature [°C]	Weather - temperature [°C] 1 (lowest priority)	Weather - temperature [°C] 2 (low priority)	Weather - temperature [°C] 3 (medium priority)	Weather - temperature [°C] 4 (high priority)	Weather - temperature [°C] 5 (highest priority)
Weather - humidity [%]	Weather - humidity [%] 1 (lowest priority)	Weather - humidity [%] 2 (low priority)	Weather - humidity [%] 3 (medium priority)	Weather - humidity [%] 4 (high priority)	Weather - humidity [%] 5 (highest priority)
Weather - wind speed [m/s]	Weather - wind speed [m/s] 1 (lowest priority)	Weather - wind speed [m/s] 2 (low priority)	Weather - wind speed [m/s] 3 (medium priority)	Weather - wind speed [m/s] 4 (high priority)	Weather - wind speed [m/s] 5 (highest priority)
Weather - wind direction [deg]	Weather - wind direction [deg] 1 (lowest priority)	Weather - wind direction [deg] 2 (low priority)	Weather - wind direction [deg] 3 (medium priority)	Weather - wind direction [deg] 4 (high priority)	Weather - wind direction [deg] 5 (highest priority)

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* 7. Is there other relevant data in your opinion? Please specify and indicate your own priority ranking from 1 to 5.

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* 8. How important is data quality for each of the following data items? (1=low quality is sufficient; 5=high quality is required)

	1 (lowest quality)	2 (low quality)	3 (medium quality)	4 (high quality)	5 (highest quality)
Road data - slope [%]	Road data - slope [%] 1 (lowest quality)	Road data - slope [%] 2 (low quality)	Road data - slope [%] 3 (medium quality)	Road data - slope [%] 4 (high quality)	Road data - slope [%] 5 (highest quality)
Road data - curvature [1/m]	Road data - curvature [1/m] 1 (lowest quality)	Road data - curvature [1/m] 2 (low quality)	Road data - curvature [1/m] 3 (medium quality)	Road data - curvature [1/m] 4 (high quality)	Road data - curvature [1/m] 5 (highest quality)
Traffic - congestion location [Lat, Long]	Traffic - congestion location [Lat, Long] 1 (lowest quality)	Traffic - congestion location [Lat, Long] 2 (low quality)	Traffic - congestion location [Lat, Long] 3 (medium quality)	Traffic - congestion location [Lat, Long] 4 (high quality)	Traffic - congestion location [Lat, Long] 5 (highest quality)
Traffic - congestion length [m]	Traffic - congestion length [m] 1 (lowest quality)	Traffic - congestion length [m] 2 (low quality)	Traffic - congestion length [m] 3 (medium quality)	Traffic - congestion length [m] 4 (high quality)	Traffic - congestion length [m] 5 (highest quality)
Vehicle position [Lat, Long]	Vehicle position [Lat, Long] 1 (lowest quality)	Vehicle position [Lat, Long] 2 (low quality)	Vehicle position [Lat, Long] 3 (medium quality)	Vehicle position [Lat, Long] 4 (high quality)	Vehicle position [Lat, Long] 5 (highest quality)
Vehicle speed [m/s]	Vehicle speed [m/s] 1 (lowest quality)	Vehicle speed [m/s] 2 (low quality)	Vehicle speed [m/s] 3 (medium quality)	Vehicle speed [m/s] 4 (high quality)	Vehicle speed [m/s] 5 (highest quality)
Vehicle acceleration [m/s^2]	Vehicle acceleration [m/s^2] 1 (lowest quality)	Vehicle acceleration [m/s^2] 2 (low quality)	Vehicle acceleration [m/s^2] 3 (medium quality)	Vehicle acceleration [m/s^2] 4 (high quality)	Vehicle acceleration [m/s^2] 5 (highest quality)
Weather - temperature [°C]	Weather - temperature [°C] 1 (lowest quality)	Weather - temperature [°C] 2 (low quality)	Weather - temperature [°C] 3 (medium quality)	Weather - temperature [°C] 4 (high quality)	Weather - temperature [°C] 5 (highest quality)
Weather - humidity [%]	Weather - humidity [%] 1 (lowest quality)	Weather - humidity [%] 2 (low quality)	Weather - humidity [%] 3 (medium quality)	Weather - humidity [%] 4 (high quality)	Weather - humidity [%] 5 (highest quality)
Weather - wind speed [m/s]	Weather - wind speed [m/s] 1 (lowest quality)	Weather - wind speed [m/s] 2 (low quality)	Weather - wind speed [m/s] 3 (medium quality)	Weather - wind speed [m/s] 4 (high quality)	Weather - wind speed [m/s] 5 (highest quality)
Weather - wind direction [deg]	Weather - wind direction [deg] 1 (lowest quality)	Weather - wind direction [deg] 2 (low quality)	Weather - wind direction [deg] 3 (medium quality)	Weather - wind direction [deg] 4 (high quality)	Weather - wind direction [deg] 5 (highest quality)

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* 9. Do you have any additional comments on data quality?

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* 10. How relevant is data security to powertrain optimisation? (1=lowest relevance; 5=highest relevance)

	1 (lowest relevance)	2 (low relevance)	3 (medium relevance)	4 (high relevance)	5 (highest relevance)
Road data - slope [%]	Road data - slope [%] 1 (lowest relevance)	Road data - slope [%] 2 (low relevance)	Road data - slope [%] 3 (medium relevance)	Road data - slope [%] 4 (high relevance)	Road data - slope [%] 5 (highest relevance)
Road data - curvature [1/m]	Road data - curvature [1/m] 1 (lowest relevance)	Road data - curvature [1/m] 2 (low relevance)	Road data - curvature [1/m] 3 (medium relevance)	Road data - curvature [1/m] 4 (high relevance)	Road data - curvature [1/m] 5 (highest relevance)
Traffic - congestion location [Lat, Long]	Traffic - congestion location [Lat, Long] 1 (lowest relevance)	Traffic - congestion location [Lat, Long] 2 (low relevance)	Traffic - congestion location [Lat, Long] 3 (medium relevance)	Traffic - congestion location [Lat, Long] 4 (high relevance)	Traffic - congestion location [Lat, Long] 5 (highest relevance)
Traffic - congestion length [m]	Traffic - congestion length [m] 1 (lowest relevance)	Traffic - congestion length [m] 2 (low relevance)	Traffic - congestion length [m] 3 (medium relevance)	Traffic - congestion length [m] 4 (high relevance)	Traffic - congestion length [m] 5 (highest relevance)
Vehicle position [Lat, Long]	Vehicle position [Lat, Long] 1 (lowest relevance)	Vehicle position [Lat, Long] 2 (low relevance)	Vehicle position [Lat, Long] 3 (medium relevance)	Vehicle position [Lat, Long] 4 (high relevance)	Vehicle position [Lat, Long] 5 (highest relevance)
Vehicle speed [m/s]	Vehicle speed [m/s] 1 (lowest relevance)	Vehicle speed [m/s] 2 (low relevance)	Vehicle speed [m/s] 3 (medium relevance)	Vehicle speed [m/s] 4 (high relevance)	Vehicle speed [m/s] 5 (highest relevance)
Vehicle acceleration [m/s^2]	Vehicle acceleration [m/s^2] 1 (lowest relevance)	Vehicle acceleration [m/s^2] 2 (low relevance)	Vehicle acceleration [m/s^2] 3 (medium relevance)	Vehicle acceleration [m/s^2] 4 (high relevance)	Vehicle acceleration [m/s^2] 5 (highest relevance)
Weather - temperature [°C]	Weather - temperature [°C] 1 (lowest relevance)	Weather - temperature [°C] 2 (low relevance)	Weather - temperature [°C] 3 (medium relevance)	Weather - temperature [°C] 4 (high relevance)	Weather - temperature [°C] 5 (highest relevance)
Weather - humidity [%]	Weather - humidity [%] 1 (lowest relevance)	Weather - humidity [%] 2 (low relevance)	Weather - humidity [%] 3 (medium relevance)	Weather - humidity [%] 4 (high relevance)	Weather - humidity [%] 5 (highest relevance)
Weather - wind speed [m/s]	Weather - wind speed [m/s] 1 (lowest relevance)	Weather - wind speed [m/s] 2 (low relevance)	Weather - wind speed [m/s] 3 (medium relevance)	Weather - wind speed [m/s] 4 (high relevance)	Weather - wind speed [m/s] 5 (highest relevance)
Weather - wind direction [deg]	Weather - wind direction [deg] 1 (lowest relevance)	Weather - wind direction [deg] 2 (low relevance)	Weather - wind direction [deg] 3 (medium relevance)	Weather - wind direction [deg] 4 (high relevance)	Weather - wind direction [deg] 5 (highest relevance)

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* 11. Shortly explain the motivation for your ranking

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* 12. How important is the sampling period? In your opinion, for each of the following data items, what would be the required sampling period?

	<1 second	1 second	1 minute	1 hour	>1 hour
Road data - slope [%]	Road data - slope [%] <1 second	Road data - slope [%] 1 second	Road data - slope [%] 1 minute	Road data - slope [%] 1 hour	Road data - slope [%] >1 hour
Road data - curvature [1/m]	Road data - curvature [1/m] <1 second	Road data - curvature [1/m] 1 second	Road data - curvature [1/m] 1 minute	Road data - curvature [1/m] 1 hour	Road data - curvature [1/m] >1 hour
Traffic - congestion location [Lat, Long]	Traffic - congestion location [Lat, Long] <1 second	Traffic - congestion location [Lat, Long] 1 second	Traffic - congestion location [Lat, Long] 1 minute	Traffic - congestion location [Lat, Long] 1 hour	Traffic - congestion location [Lat, Long] >1 hour
Traffic - congestion length [m]	Traffic - congestion length [m] <1 second	Traffic - congestion length [m] 1 second	Traffic - congestion length [m] 1 minute	Traffic - congestion length [m] 1 hour	Traffic - congestion length [m] >1 hour
Vehicle position [Lat, Long]	Vehicle position [Lat, Long] <1 second	Vehicle position [Lat, Long] 1 second	Vehicle position [Lat, Long] 1 minute	Vehicle position [Lat, Long] 1 hour	Vehicle position [Lat, Long] >1 hour
Vehicle speed [m/s]	Vehicle speed [m/s] <1 second	Vehicle speed [m/s] 1 second	Vehicle speed [m/s] 1 minute	Vehicle speed [m/s] 1 hour	Vehicle speed [m/s] >1 hour
Vehicle acceleration [m/s^2]	Vehicle acceleration [m/s^2] <1 second	Vehicle acceleration [m/s^2] 1 second	Vehicle acceleration [m/s^2] 1 minute	Vehicle acceleration [m/s^2] 1 hour	Vehicle acceleration [m/s^2] >1 hour
Weather - temperature [°C]	Weather - temperature [°C] <1 second	Weather - temperature [°C] 1 second	Weather - temperature [°C] 1 minute	Weather - temperature [°C] 1 hour	Weather - temperature [°C] >1 hour
Weather - humidity [%]	Weather - humidity [%] <1 second	Weather - humidity [%] 1 second	Weather - humidity [%] 1 minute	Weather - humidity [%] 1 hour	Weather - humidity [%] >1 hour
Weather - wind speed [m/s]	Weather - wind speed [m/s] <1 second	Weather - wind speed [m/s] 1 second	Weather - wind speed [m/s] 1 minute	Weather - wind speed [m/s] 1 hour	Weather - wind speed [m/s] >1 hour
Weather - wind direction [deg]	Weather - wind direction [deg] <1 second	Weather - wind direction [deg] 1 second	Weather - wind direction [deg] 1 minute	Weather - wind direction [deg] 1 hour	Weather - wind direction [deg] >1 hour

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* 1. Your first name

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* 2. Your last name

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* 3. Name of the organisation you work for/represent

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* 4. Your email address

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* 5. Please select the stakeholder group that best represents you

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* 6. Rank the importance of the following data items by order of priority (1=lowest priority; 5= highest priority)

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* 7. Is there other relevant data in your opinion? Please specify and indicate your own priority ranking from 1 to 5.

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* 8. How important is data quality for each of the following data items? (1=low quality is sufficient; 5=high quality is required)

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* 9. Do you have any additional comments on data quality?

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* 10. How relevant is data security to powertrain optimisation? (1=lowest relevance; 5=highest relevance)

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* 11. Shortly explain the motivation for your ranking

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* 12. How important is the sampling period? In your opinion, for each of the following data items, what would be the required sampling period?

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* 13. In your opinion, what are the necessary elements of a methodology for assessing the impact of the proposed solutions?