1. Commercial deployment of MaaS in Israel
Gilad Lustig
Senior Director, Strategy

2. Mobileye, Volkswagen, and Champion Motors bring Mobility-as-a-Service to Israel

3. Pre- Commercialization
Cornerstones
Project Overview
Service Summary
Project PINTA is a JV with VW- group, Champion Motors and Mobileye for launching MaaS in Israel with commercial deployment in 2022
Commercialization of Full-Stack MaaS offering SDS, Vehicles, Fleet Operations & Fleet Control Center, Mobility Intelligence, Content
Operational fleet of Self-Driving EVs until 2022
First deployment in Tel-Aviv
Scale up to cover all of Israel
Project Timeline & Phases
2019
2021
2023+
2020
2022 1 2 3 4
Development & Testing
Commercialization
Scaling
Pre- Commercialization

4. Project Phases
The service covers the most relevant urban area of Israel by 2022
Scaling approaches
Scale into Metropolitan area
Increase granularity of existing area
Add additional special routes
2019 Phase 1
Pre-Development
2020 Phase 1.1
Development
2021 Phase Phase 3 Pre- Commercial
2023 Phase 4 Scaling
15km
33km
111km
(17 km²)

5. Commercial deployment
Commercial deployment is different than testing….
Commercial deployment
Examples
No Driver!
L4 Vehicle

6. Regulation Commercial deployment requires regulatory framework
Regulation main advantages
Clarity of legal risks
Limiting unnecessary liability – civil and criminal
Safety by design
Public acceptance and trust

7. Clearer and more absolute driving rules
Advantages /opportunity
Amorphous
Clearer and more absolute driving rules
Define before the event and not after the fact
The goal should be the approval of autonomous decision-making systems prior to its deployment and, in the long term, the specification of clear rules for decision-making systems that would be applicable to any such autonomous decision-making system (regardless of manufacturer).

8. Automated vehicle safety
What does “safety” mean for an autonomous vehicle?
And how can we define it in a way that is satisfactory to society?
But how do we definitively show that AVs can do the same? We first need to define what safety means for and Autonomous Vehicle. It is one of the most important questions the industry still answer: how do we know these vehicles are safe and deserve a license to drive?

9. RSS: A Formal Model for AV Safety
A mathematical model that formalizes a common sense interpretation of safe driving
What is a dangerous situation?
What is the proper response to a dangerous situation?
What does it mean to be reasonably cautious?
What assumptions can the AV make about the behavior of others?
In summary, RSS is an open and transparent, industry driven standard that provides verifiable safety assurance on the decision making capabilities of an AV.
This is just a first step, we must continue as an industry, to answer tough questions about this technology. Because as we drive, we are constantly balancing safety vs utility, like how quickly we merge onto a road from a blind corner, that makes assumptions about our own behavior and the behavior of others. What assumptions will we similarly grant to AVs?
Transparent
Safe
Affordable
Useful

10. Responsibility Sensitive Safety (RSS)
Formalize
Human notions of
safe driving
Identify
A Dangerous Situation
Execute
The Appropriate Response
As so we proposed Responsibility Sensitive Safety, a formal mathematical model that does three important things:
It formalizes human notions of safe driving.
When we drive, we think about maintaining a bubble around our car, to the front, rear and side
What is a safe distance around the vehicle at all times?
(CLICK)
We can then clearly identify a dangerous situation. When has our safety envelope been compromised? When has the planning module recommended an action that would put us in danger? When has another driver made an unsafe maneuver?
And finally what proper response should we execute to return to that safe state?
Keep a safe distance
longitudinally
& laterally
Safe distance compromised in
both directions
Brake to restore safe longitudinal distance

11. Advantages of RSS- summary
Balancing safety with usefulness (usefulness as a safety measure) – reasonable worst-case scenarios
2. Balancing these interests is the responsibility of state and society – regulation
3. Pre-approval and not ex post examination – for safety, clarity and trust
4. Transparency and the answer for "black box" of AI

12. Visual perception
Thank You!
Drive Safe