Säkra bilar
Säkra bilar
Maria Backlund tbc Anders Kullgren Anders Lie
Johan Strandroth
Bengt Dalström
Säkra bilar
87 87 87 87 6 6 85%
85%
1200
1200
120g
120g
5
6
7
8
9
10
11
12
13
14
15
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
18
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
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
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 beavoided 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
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
%
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
Pre-Collision System (PCS) with Pedestrian-avoidance Steer Assist
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
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
Start of field testing
For muscular dystrophy patients
in collaboration with a rehabilitation center in Yokohama
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
Overview of Ha:mo system
User Link
Navigation
Cloud
EDMSlocal Energy Management
Fore-
linkcast
AnalysisStudy 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
31
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
33
34
35