Form No. 2 PostRoadshow questionnaire

Trucking Fleet Concept of Operations (CONOPS) for Managing Mixed Fleets

PostRoadshow Questionnaire

OMB: 2126-0073

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POST-ROADSHOW QUESTIONNAIRE
Thank you for agreeing to complete this questionnaire. This study is funded by the US
Department of Transportation. Each questionnaire will take approximately 10 minutes to
complete. Data collected from this questionnaire will be posted to the public VTTI Dataverse
website for other researchers to access.
By submitting the questionnaire, you are agreeing to participate in this research study to collect
opinions regarding ADS technologies from members of the trucking industry. Personal
information that may identify you will not be collected at any time. You may answer any of the
questions with the option ‘I prefer not to answer this question’ if you do not feel comfortable
answering. You may choose not to submit the questionnaire if you change your mind about
participating. If you have any questions, please see a member of the VTTI research team.

PARTICIPANT ID#
(1) Please enter the first two letters of your name (e.g., Jeff would be JE) ____
(2) Please enter the first two letters of your last name (e.g., Smith would be SM) ____
(3) Day you were born as two digits (e.g., 6 would be 06) _____

PART 1: ADS ACCEPTANCE
Please answer the following 15 questions, which will assess your acceptance of automated driving
systems (ADS). Answer each question as a judgement of ADS by placing a mark in the box for
each question. The more you believe the judgment, the closer you place a mark to that term. A
mark in the middle of the judgment reflects you do not have an opinion on either judgement (i.e.,
neutral). Answer each question as “I believe ADS technologies are….”
(1)

Useful □ □ □ □ □ Useless
□ I prefer not to answer this question

(2)

Pleasant □ □ □ □ □ Unpleasant
□ I prefer not to answer this question

(3)

Bad □ □ □ □ □ Good
□ I prefer not to answer this question

(4)

Nice □ □ □ □ □ Annoying
□ I prefer not to answer this question

(5)

Effective □ □ □ □ □ Superfluous
□ I prefer not to answer this question

Irritating □ □ □ □ □ Likeable

(6)

□ I prefer not to answer this question
Assisting □ □ □ □ □ Worthless

(7)

□ I prefer not to answer this question
Undesirable □ □ □ □ □ Desirable

(8)

□ I prefer not to answer this question
Raising Alertness □ □ □ □ □ Sleep Inducing

(9)

□ I prefer not to answer this question
(10)

Unsafe □ □ □ □ □ Safe
□ I prefer not to answer this question

(11)

Cost-effective □ □ □ □ □ Too Expensive
□ I prefer not to answer this question

(12)

Too disruptive to operations □ □ □ □ □ Compatible with operations
□ I prefer not to answer this question

(13)

Acceptable to drivers □ □ □ □ □ Unacceptable to drivers
□ I prefer not to answer this question

(14)

Training would be difficult □ □ □ □ □ Training would be easy
□ I prefer not to answer this question

(15)

Performs well □ □ □ □ □ Performs poorly
□ I prefer not to answer this question

PART 2: ROADSHOW DEMONSTRATION
(1) Please indicate which demonstrations you participated in today? (mark all that apply)
a. [XXXXX]
b. [XXXXX]
c. [XXXXX]
d. [XXXXX]
e. [XXXXX]
f. [XXXXX]
□ I prefer not to answer this question

(2) Of the demonstrations you participated in today, which do you believe are most ready for
deployment today? (please rank order from most ready to least ready)
a. [XXXXX]
b. [XXXXX]
c. [XXXXX]
d. [XXXXX]
e. [XXXXX]
f. [XXXXX]
□ I prefer not to answer this question
(3) Of the demonstrations you participated in today, which are most likely to be commercialviable entities in fleet operations? (please rank order from most likely to least likely)
a. [XXXXX]
b. [XXXXX]
c. [XXXXX]
d. [XXXXX]
e. [XXXXX]
f. [XXXXX]
□ I prefer not to answer this question
(4) What potential ADS use cases would you like to see demonstrated in the next roadshow?
□ Teleoperation
□ Queuing Operation
□ Intermodal Yard
□ Exit-to-Exit
□ Lane Keeping Assist
□ Platooning
□ Automated Trailer Parking
□ Other (please specify) ________________________________
□ I prefer not to answer this question


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AuthorJeffrey Hickman
File Modified2020-09-22
File Created2020-09-22

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