1. Christoff Krogscheepers
INTELLIGENT, SMART AND AUTONOMOUS TRANSPORT NOW AND THE FUTURE IN SOUTH AFRICA:
INTELLIGENT PUBLIC TRANSPORT SYSTEMS
Christoff Krogscheepers
Innovative Transport Solutions (Pty) Ltd

2. Content Lexicon Energy Autonomous / Driverless Cars Mode Ownership
Data
Local Context

3. Staring into the Future of Public Transport

4. Staring into the Future of Public Transport

5. New Lexicon Shared Mobility Vehicle Sharing E-hailing Ride Sourcing
MaaS = Mobility as a Service

6. Basic Elements
Energy, Propulsion: Fossil to Electric to ?
Control: Manual to Autonomous!!
Mode: Mass vs Personal vs Sharing
Ownership: Own - Rent – Share
Data: Smarter Transport

7. Basic Elements
Energy, Propulsion: Fossil to Electric to ?
Control: Manual to Autonomous!!
Mode: Mass vs Personal vs Sharing
Ownership: Own - Rent – Share
Data: Smarter Transport

8. Fossil Fuels vs Alternatives

9. Basic Elements
Energy, Propulsion: Fossil to Electric to ?
Control: Manual to Autonomous!!
Mode: Mass vs Personal vs Sharing
Ownership: Own - Rent – Share
Data: Smarter Transport

10. Future of Autonomous Vehicle

11. Automated Vehicle Technologies and Their Progress along the Hype Curve/Cycle (Gartner, 2016)

12. Remember: Autonomous Trains – Old News
There is a narrative that autonomous vehicles/driverless cars will solve the worlds problems and that the current PT services are old school and needs replacement.
Automated PT is old news. There are no current working models of driverless cars, all are in test phases.
Automated Train Systems (GoA 4) :
Americas: 22
Asia: 30
Europe: 20
Automated Systems (GoA 2 & 3): > 100 worldwide
In Europe Automated Trains moved more than 1 billion pax in 2015.

13. Basic Elements
Energy, Propulsion: Fossil to Electric to ?
Control: Manual to Autonomous!!
Discussion is really about:
Mode: Mass vs Personal vs Sharing
Ownership: Own - Rent – Share
Data: Smarter Transport

14. Basic Elements
Energy, Propulsion: Fossil to Electric to ?
Control: Manual to Autonomous!!
Discussion is really about:
Mode: Mass vs Personal vs Sharing
Ownership: Own - Rent – Share
Data: Smarter Transport

15. Which is the most efficient?

16. What does this picture not consider?

17. What does this picture not consider? Origins and Destinations
Limited O’s
Unlimited O’s
Limited D’s
Unlimited D’s

18. What does this picture not consider? 0 – D’s & Time Constraints!
Limited O’s
Limited Time
Unlimited O’s
Choose Time
Limited D’s
Limited Time
Unlimited D’s
Choose Time

19. What does this picture not consider
What does this picture not consider? 0 – D’s & Time Constraints & Potential
Limited O’s
Limited Time
Unlimited O’s
Choose Time
Unlimited O’s
Choose Time
Limited D’s
Limited Time
Unlimited D’s
Choose Time
Unlimited D’s
Choose Time

20. What does this picture not consider
What does this picture not consider? 0 – D’s & Time Constraints & Potential
Limited O’s
Limited Time
Unlimited O’s
Choose Time
Unlimited O’s
Choose Time
Data
Technology
&
Sharing
Limited D’s
Limited Time
Unlimited D’s
Choose Time
Unlimited D’s
Choose Time

21. What does this picture not consider
What does this picture not consider? 0 – D’s & Time Constraint, potential & Space
Limited O’s
Limited Time
Unlimited O’s
Choose Time
Unlimited O’s
Choose Time
Unlimited O’s
Choose Time
Limited D’s
Limited Time
Unlimited D’s
Choose Time
Unlimited D’s
Choose Time
Unlimited D’s
Choose Time

22. Data and Technology allows Sharing
Current explosion in the market is around:
Data/Technology that allows coordination of origins, destination and travel times.
Payment systems that are easy and safe
Data that improves service provision
Applications:
Single Trips – Uber, Lyft….etc
Multi/shared trips –
FLX, Via, Door2Door, GoOpti GrabaTaxi…etc
Price = f(Time Flexibilty and Sharing)

23. Mobility as a Service - MaaS
The way customers obtain information about, pay for, and plan their travel.
MaaS operators will be public or private entities, and will directly interact and broker services with all regional transportation service providers.
Customers will be able to purchase monthly packages (from the MaaS provider) that are tailored to their transportation needs, or will be able to pay-as-you-go.
Further, a customer’s MaaS subscription will be usable anywhere, similar to mobile phone roaming.

24. Are we keen to share?
Can it go below 1?

25. Ownership 100% Rail Air Ride Sharing MaaS Private Ownerships 50% Bus
1800
1900
2000

26. Latest Mind-set
Is there really practical alternatives to old fashioned PT?
The current narrative is that public transport is old and not working and that new modes can cost-effectively provide better and cheaper alternatives.
There is also occasionally implication that new modes are held back by old-style thinking about public transport.
Why: Driven by the Private Sector and Marketing Initiatives?

27. Basic Elements
Energy, Propulsion: Fossil to Electric to ?
Control: Manual to Autonomous!!
Discussion is really about:
Mode: Mass vs Personal vs Sharing
Ownership: Own - Rent – Share
Data: Smarter Transport

28. Data Driven Transit timetables Real-time transportation information
Transit performance metrics, historical and real-time
Transit reliability
Transit customer satisfaction
Transit route characteristics
Transit stop/station characteristics, both static and dynamic
Multimodal journey planning results
Social media/network mapping regarding transportation
Transport-sharing usage, both real- time and historical
Transportation payments
Travel behaviour data, both quantitative and qualitative
Parking data
Package delivery data, both real-time and historical

29. Where are we in RSA? Basic Elements
Energy, Propulsion: Fossil to Electric to ?
Control: Manual to Autonomous!!
Discussion is really about:
Mode: Mass vs Personal vs Sharing
Ownership: Own - Rent – Share
Data: Smarter Transport
Where are we in RSA?

31. Modal Split

32. Our Reality

33. Important Issues

34. Complaints – Taxis Users
Walking Times to Ranks
77% walk 1 – 15 minutes to taxi
18% walk 15 – 20 minutes to taxi
Dissatisfaction:
Facilities at ranks: 54.9%
Taxi Fares: 51%
Safety 45%
Travel Time: 21%
Frequency of Taxis: 30%

35. “Available, on-time, clean, affordable and safe basic modes of PT”
Future
Better modelling and Planning of PT - services, demographic trends and travel patterns.
PT will improve mobility - smarter, more & personalized. However, limited to small percentage unless we seriously address and focus on the Minibus Taxi Service Providers.
However, we need to sort out the basics and until we do the majority of PT users will not benefit and will not have:
“Available, on-time, clean, affordable and safe basic modes of PT”
Still remains to be seen what the market is going to do with autonomous vehicles and shared mobility.