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Säkra bilar

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Säkra bilar

Maria Backlund tbc Anders Kullgren Anders Lie

Johan Strandroth

Bengt Dalström

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Säkra bilar

87 87 87 87 6 6 85%

85%

1200

1200

120g

120g

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Infrastructure Cooperative Driving Support Systems

Systems that use ITS technologies to help prevent collisions at intersections with poor visibility

Communication helps prevent approaching vehicles from colliding

Sensors detect vehicles and pedestrians, and help prevent accidents when making right turns

Detects

pedestrians and vehicles;

transmits information

Location information transmitted by both cars

information

Pedestrian

Vehicle proceeding straight

Turning vehicle

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Pursuit of real-world safety Integration of three elements

Approach to Safety

Real-world crash investigation and analysis

People

Development and assessment Simulations People

Vehicle Traffic

environment

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5,000 Less than 65 years old People

3,000 4,000

Passenger Car

Pedestrian Pedestrian

People

Traffic Accidents

Traffic accidents involving pedestrians and seniors are a priority issue.

No. of traffic fatalities (age of victim) No. of traffic fatalities (type)

Source: 2012 National Police Agency Traffic Accident Statistics 1,000

2,000 3,000 4,000 5,000

2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001

2,147 2,264

Senior (65 and older) Senior (65 and older)

2012 2012 1,000

2,000 3,000

2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001

1,634

Pedestrian Pedestrian

Bicycle Motorcycle

Motorized bicycle

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Pre-Collision System (PCS) with Pedestrian-avoidance Steer Assist

When collisions cannot be avoided solely by braking, automatic steering support is also activated.

When collisions cannot be avoided solely by braking, automatic steering support is also activated.

Pedestrian Collision avoidance space

Braking alone

cannot always prevent collisions

Automatic braking and steering

Source: ITARDA Traffic Accident Statistics 2008-2011

60

%

60

%

16 16

%% Can be

avoided by braking Approx.

Can be avoided by braking Approx.

can be avoided by Combining

braking and steering can be

avoided by Combining

braking and steering

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16%

9%

Not identifiable

Inattentive driving

Decision- Operating vehicle erroneously Other

Accidents Caused by Senior Drivers

Breakdown of fatal accidents caused by seniors (65+)

Causes of accidents occurring at intersections (of accidents caused by seniors)

Intersections with

traffic lights

Ordinary 13%

Source: ITARDA Traffic Accident Statistics 2011 12% 9%

Distracted driving Decision-

making error

Total: 765 fatal accidents

18%

21%

49 %

occur at or near intersections

Intersections without traffic lights

Near intersections Ordinary

road: straight

Ordinary road: curve

13%

22%

14%

Failure to check 50

%

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Speed

Lane Trace Control (LTC)

The system adjusts the vehicle’s steering angle, driving torque and braking force when necessary to maintain an optimal driving line within the lane.

Curve detected

Automated Highway Driving Assist (AHDA)

Straight road

Gentle curve

Sharp curve 65

0

Speed

LTC versus Lane Keeping Assist (LKA)

LKA

LKA LTC

Congestion support Sharp curve support

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Pre-Collision System (PCS) with Pedestrian-avoidance Steer Assist

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Panoramic View Monitor (with Moving-object Detection)

Clearly displays a three-dimensional image of the immediate surroundings of the vehicle.

When the vehicle is in motion, the system detects pedestrians and vehicles etc. in the immediate vicinity and alerts the driver.

360-degree display around the vehicle Detects pedestrians and vehicles etc. around the vehicle

Pedestrian

Parking Support

Moving forward Pedestrian

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Advanced research for the future Advanced research for the future

Collaboration

with Biological Sciences Collaboration

with Biological Sciences

(case study)

Possibility of application in neuro-rehabilitation

Utilizing neurotechnology Utilizing neurotechnology

neuro-rehabilitation and

driving support

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Start of field testing

For muscular dystrophy patients

in collaboration with a rehabilitation center in Yokohama

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HSR( HSR(Human support robot) Human support robot)

(Sep. 2012 news release)

● Autonomously transfer

● Fetch objects

from desk, shelf and so on

● Pick up objects

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Overview of Ha:mo system

User Link

Navigation

Cloud

EDMSlocal Energy Management

Fore-

link

cast

Analysis

Study of

improve- ment

Recommen- dation

Ha:mo Management Center

Prius PHV

G-BOOK P&R

parking Rail Bus

Service status Probe/OD

SmartphoneNavigation system

Service status Cloud

Occupied/

vacancy

Car Public

Transportation Related

information Whether Events

Whether Events

Service status

One mile mobility

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Outline of Ha:mo verification project -1 Station site

・Service in Oct. 1st

・27 stations ;

- Railway stations,

- Organizations and enterprises, - Commercial facilities, Factories

・100 COMS, 100 PAS (as of September 2013)

・100 COMS, 100 PAS

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Attityder

Attityder

Attityder

Attityder

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