Autonomous driving has lately been a hot topic and is increasingly drawing a lot of attention and popularity. The aim is to transform mobility with the feasibility to move from one place to another in an intelligent, cognitive and reliable system. Driven with AI and machine learning, the system would be tailored to accurately detect humans and objects in motion, including lane curves or obstacles as well, spontaneously. I worked on a sample case study where two pilot surveys were conducted on shared connected vehicle and bus shuttle designed for commuters. Based on the customer feedback received, I have derived some compelling interpretation that inclines positively to the future of autonomous transport system.

1. Autonomous Transport System
Customer Experience and User Interface
at Expo City Dubai
Case Study
Analysis and Recommendations
by Amorette D’souza

2. INTRODUCTION
Topics I will cover:
• Overview of the case study
• Analysis and Interpretation
• Limitations and Recommendations

6. Analysis and Interpretation:
Effectiveness and efficiency:
A vast number of passengers
appreciated the ease of use of the
shared vehicle fleet.
However, majority of the passengers
resorted to the bus shuttle service
due to better vehicle performance
and the frequency of availability.
Based on the age groups:
We observe increased inclination of
the senior citizens and families opting
for shared vehicle rather than the bus
shuttle – privacy, convenience and
comfort.
The younger crowd would rather opt
for bus shuttle as that would be
affordable.
Customer willingness to pay:
An elevated percentage of senior
citizens are better equipped to afford
the shared vehicle services over bus
shuttle.
The young adults would prefer bus
shuttle as this would be affordable
and safer while they may travel solo,
or as group of friends.
This is made clear with a high rating
of our customers towards the idea
of replacing CAVs for daily trips in the
future.

7. Limitations and Recommendations:
Certain limitations transpired -
technology accessibility, awareness
and safety measures.
Maintaining our customer satisfaction
standard would entail that our
customers may need to be educated
before accessing these vehicles as this
may better benefit them to
understand the functionality of the
system.
Instill confidence in our customer that
in case of an emergency, there is an
override / manual that is readily
available.
Optimizing the customer real time
experience to gain full advantage of
adapting to such a new system.
Personalized experience would be to
develop language configuration via an
app.
Considering the volume of mixed
language speakers at Expo, if the CAVs
can be more interactive in terms of
conversing in their language,
navigation as well as providing a
gamified experience, it will result in an
ultimate customer experience.
There is a wider scope to understand
customer distance travelled and their
satisfaction on the commute to those
location.
There are areas that have received low
ratings which can be improvised by
understanding the drawbacks and
devising mechanism to better serve
the passenger.
For example, longer time taken to
reach a point due to route chosen by
the vehicle. Building machine
algorithms that will read traffic on
route chosen and if there are
alternative route to get to the
destination quicker.

8. Distance vs Customer Satisfaction analysis:

9. THANK YOU