www.ptvgroup.comwww.ptvgroup.com

WELCOME TO THE

PTV GROUP!

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WE PLANAND OPTIMISE

EVERYTHINGTHAT MOVES PEOPLE

AND GOODS

WORLDWIDE.

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FACTS & FIGURES

Slide 3

> 1 MIO.

COMMERCIAL

VEHICLES

PLANNED

> 2.500

CITIES

> 100

MIO.

REVENUE

> 20SUBSIDIA-

RIES

> 130COUNTRIES

40.000

TONS

DAILYCO2

SAVED ~ 40YEARS

EXPERIENCE

>700EMPLOYEES

WORLDWIDE

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CHALLENGES & TRENDS

Urban Logistics

Electromobility

Autonomous Driving

Shared Economy

Cycling & Walking

Multimodal Traffic

and Transportation

New Mobility Services

Data Analytics

Public Transport

Shared Mobility

DISRUPTION IS HAPPENING NOW!

Slide 5

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CAR DEALER

TODAY‘S BUSINESS MODEL: CAR-OWNERSHIP

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MAASPROVIDER

TOMORROW‘S BUSINESS MODEL: SHIFT TO SHARED MOBILITY

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Due to technology-enabled mobility

car manufacturers need to shift their

business model from classic car selling

to offering on-demand shared mobility

services in order to survive.

CITY HALL

SHIFTING TO NEW BUSINESS MODELS IN ORDER TO SURVIVE

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Socio-economic benefits

to the society

MaaSCITY HALL

Less congestion

Better

accessibility

Reduction of emissions

Future-proofed & profitable business model for

car manufacturers

CREATING A WIN-WIN SITUATION

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CITY HALL

How many vehicles would be

required and of what size/quality?

What is the impact of different pricing

strategies?

What are the costs, the revenue & the

profit of my mobility services?

Are depots and/or e-charging

stations needed and where should

they be located?

How often would vehicles need to

be replaced?

CITY HALL

Ride sharing

Car sharing

How many people will use the

mobility service?

How many more/less vehicles are

required over the course of time?

What if some or all of the fleet is

driven autonomously?

How can I best utilise a fleet of a given

size?

WHAT IS THE PROFITABILITY OF MY MOBILITY SERVICE?

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DOMINATES THE MARKET.

WHOEVER HAS THE RIGHT ANSWERS FIRST,

5 %Scenario: 24 hours

number of vehicles required to provide the

same trips as before:

24hrs.++TaxiBus

-TaxiBots

-Public transport

X 210

commute

50 Min

THE ITF CPB LISBON STUDY

+ 24hrs.+

TaxiBusRide -sharing

-22% & -27% kilometres travelled CO2 emissions

TaxiBotsRide -sharing

Public transport(high capacity )

WHAT WE COULD ACHIEVE

MAAS ECOSYSTEM

Source : Transport Systems Catapult report Exploring the opportunity for Mobility as a Service in

the UK

MaaS involves a new range of stakeholders, other than road managers and OEM’s

MAAS ECOSYSTEM

Source : Transport Systems Catapult report Exploring the

opportunity for Mobility as a Service in the UK

The MaaS Ecosystem involves a large number of players and

components.

Top to Bottom : from customer demand to trip execution

MAAS ECOSYSTEM

The ecosystem can be divided in

three main parts, connected by

API’s :

The customer interface App with functionality for payment,

trip planning, virtual wallet, advertisement,…

MaaS Middleware Central platform, optimizing trip

allocation, routing, payment tracking, …

Transport interface Connecting to physical devices

executing the transportation

Provide trip order and navigation

Either App (human driver) or machine-language

MAAS ECOSYSTEM

Disaggregate EcoSystem = Multiple Customer Interfaces

Multiple Transport providers

One centralized middleware is needed : Optimize towards System Optimum <> company

optimum

Provide routing in line with policy

Control pricing

Multiple customer interfaces allows for the market

to play Different app providers with different business models

(advertisement, streaming media,…)

Integration within other apps (event apps, public transport apps, banking apps,…)

Multiple operators allows local economy to benefit Local transport companies without the funds for a whole

fleet can partipicate

No need for technical knowledge of the whole ecosystem

Mixture of Public and Private transport agencies is possible

MAAS ECOSYSTEM

Conclusion : A disaggregate EcoSystem allows for the following benefits :

A City-wide optimization of trip-to-vehicle assignment and navigation

Only system that allows for true intermodal trip recommendations

Decouples technical advances in the transport layer from the organizational aspects No need to wait for autonomous vehicles!

Avoids single-vendor lockin

Allows the market to play – avoid monopolies

Allows for the local economy to play a part at a smaller scale

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PTV MAAS OPERATOR

PTV MAAS MODELLER

PTV MAAS SIMULATOR

PTV MAAS CONTROLLER

2018

2019

Q3/4 2017

Q2 2017

PTV MAAS ACCELERATOR PROGRAM

Central coordination of:

• real-time operations, trip requests and vehicle

assignments

• vehicle occupancy & system efficiency

• monitoring of waiting times

Data warehousing for analysing and optimizing your system

Core component for your real-time multimodal

MaaS OS

Real-time optimisation of dispatching/routing

Real-time traffic prediction: advanced routing

optimization

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2018

PTV MAAS OPERATOR

Simulate interchange points

Plan and simulate interaction of AV’s, pedestrians

and bicycles

Optimize traffic

Strong VR for stakeholder engagement

Simulate vehicle characteristics & dynamics

Simulate drop-off and pick-up points

Simulate network-wide traffic control

(PTV Balance/Epics)

Simulate connected vehicles & infrastructure

Page 21

Q4

2017

PTV MAAS SIMULATOR

Central coordination of:

• real-time operations, trip requests and vehicle

assignments

• vehicle occupancy & system efficiency

• monitoring of waiting times

Data warehousing for analysing and optimizing your system

Core component for your real-time multimodal

MaaS OS

Real-time optimisation of dispatching/routing

Real-time traffic prediction: advanced routing

optimization

Page 22

PTV MAAS OPERATOR

Page 23

Components for a real-time City OS:

CITY OPERATING SYSTEM

PTV MAAS CONTROLLER

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THE FUTURE IS NOW!

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