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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.
1.Your first name
2.Your last name
3.Name of the organisation you work for/represent
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.

5.Please select the stakeholder group that best represents you(Required.)
Predictive future: what data do we really need?
6.Rank the importance of the following data items by order of priority (1=lowest priority; 5= highest priority)(Required.)
1 (lowest priority)
2 (low priority)
3 (medium priority)
4 (high priority)
5 (highest priority)
Road data - slope [%]
Road data - curvature [1/m]
Traffic - congestion location [Lat, Long]
Traffic - congestion length [m]
Vehicle position [Lat, Long]
Vehicle speed [m/s]
Vehicle acceleration [m/s^2]
Weather - temperature [°C]
Weather - humidity [%]
Weather - wind speed [m/s]
Weather - wind direction [deg]
7.Is there other relevant data in your opinion? Please specify and indicate your own priority ranking from 1 to 5.
8.How important is data quality for each of the following data items? (1=low quality is sufficient; 5=high quality is required)(Required.)
1 (lowest quality)
2 (low quality)
3 (medium quality)
4 (high quality)
5 (highest quality)
Road data - slope [%]
Road data - curvature [1/m]
Traffic - congestion location [Lat, Long]
Traffic - congestion length [m]
Vehicle position [Lat, Long]
Vehicle speed [m/s]
Vehicle acceleration [m/s^2]
Weather - temperature [°C]
Weather - humidity [%]
Weather - wind speed [m/s]
Weather - wind direction [deg]
9.Do you have any additional comments on data quality?
10.How relevant is data security to powertrain optimisation? (1=lowest relevance; 5=highest relevance)(Required.)
1 (lowest relevance)
2 (low relevance)
3 (medium relevance)
4 (high relevance)
5 (highest relevance)
Road data - slope [%]
Road data - curvature [1/m]
Traffic - congestion location [Lat, Long]
Traffic - congestion length [m]
Vehicle position [Lat, Long]
Vehicle speed [m/s]
Vehicle acceleration [m/s^2]
Weather - temperature [°C]
Weather - humidity [%]
Weather - wind speed [m/s]
Weather - wind direction [deg]
11.Shortly explain the motivation for your ranking(Required.)
12.How important is the sampling period? In your opinion, for each of the following data items, what would be the required sampling period?(Required.)
<1 second
1 second
1 minute
1 hour
>1 hour
Road data - slope [%]
Road data - curvature [1/m]
Traffic - congestion location [Lat, Long]
Traffic - congestion length [m]
Vehicle position [Lat, Long]
Vehicle speed [m/s]
Vehicle acceleration [m/s^2]
Weather - temperature [°C]
Weather - humidity [%]
Weather - wind speed [m/s]
Weather - wind direction [deg]
13.In your opinion, what are the necessary elements of a methodology for assessing the impact of the proposed solutions?(Required.)
Current Progress,
0 of 13 answered
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