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Maurice Geraets Senior Director New Business NXP Automotive Eric -Mark Huitema IBM Smarter Transportation Leader PowerPoint Presentation
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Maurice Geraets Senior Director New Business NXP Automotive Eric -Mark Huitema IBM Smarter Transportation Leader . We Connect the Car and bring CAN data to the Cloud. This real time in-car data delivers valuable information. Smart p hone navigation apps for r oad u sers.

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slide1

Maurice Geraets

Senior Director New Business NXP Automotive

Eric-Mark Huitema

IBM Smarter Transportation Leader

this real time in car data delivers valuable information
This real time in-car data delivers valuable information

Smart phonenavigationapps for

road users

Real TimeTraffic Info

Driving style&‘black box’

info for fleetmanagers

Dynamic

Maximum

Speed

In-CarCAN data

Traffic & road

condition info

for roadauthorities

cloud dashboard available for 95 of existing car types
Cloud dashboard available for 95% of existing car types

We have gathered 1.8 Billion data points …

slide11

Smart phonenavigationapps for

road users

Real TimeTraffic Info

Driving style&‘black box’

info for fleetmanagers

Dynamic

Maximum

Speed

In-CarCAN data

Traffic & road

condition info

for roadauthorities

We use data to deliver valuable information !

… leading to 48.000 ‘events’

road authorities rws benefit from road surface info
Road authorities: (RWS) benefit from road surface info
  • Rijkswaterstaat and TU/E have concluded thatin-car data can provide info on road surface
public smart phone apps can display relevant events
Public: Smart phone apps can display relevant events
  • Nokia’s real time traffic
  • Rijkswaterstaat dynamic max speed
  • Events generated from CAN data, e.g.:
    • Fog, heavy rain
    • Road assistance car on rescue lane
    • Harsh braking – more accurate traffic jam info
fleet manager incident analytics
Fleet manager: incident analytics
  • Accurate in car data is available for analytics of specific situations:
  • In December 2012, in a dark evening an accident occurred betweena scooter and a taxi.
  • According to the scooter driver the taxi suddenly made a unexpected U-Turn without paying attention to the traffic and without using the turn indicator lights.
  • According to the Taxi driver he stopped the taxi at the roadside and carefully turned the taxi while using his turn indicator.
  • An investigation was conducted using SMART-In-Car taxi data.
  • It clearly showed on a per second basis what the situation actually was.
  • It indicated the taxi driver’s statement was fully correct based on detailed signals from the car which were stored in the Cloud.
  • Fortunately the scooter driver was not injured, and after being confronted with the data, acknowledged he was speeding, did not have his lights on and was not paying attention.
slide15

Overall Rel

Improve

Proffessional Drivers: Cibatax drivers have really improved driving style and lowered fuel consumption

Urban Rel

Improve

Mercedes Sprinter

Mercedes E class

Urban

Absolute

fuel consumption

Urban Abs

Improve

driving style score

cibatax drivers have really improved driving style
Cibatax drivers have really improved driving style
  • In our zero measurement the most seen urban driving style score was 6.9(on scale of 0 - 10)
  • After stimulating the taxi drivers to improve their driving style, the most seen urban score improved with 10% (to 7.6)
  • Those who scored in the zero measurement below 6 in urban areas,improved their average driving style score in the competition with 6%
  • The 10 drivers who showed the highest urban improvementhave on average improved their score with over 18%
  • On Mercedes E Class car we monitored fuel consumption from the CAN bus
    • Almost 75% of these cars showed reduced fuel consumption in urban areas
    • The average of these reductions in fuel consumption was close to 5%
  • Extrapolating to all passenger cars in The Netherlands this would save yearly730 Million tons CO2 emission and 800 Million Euro fuel costs
  • Effective driving style improvement for taxi drivers:
    • Shows better results in urban environments than on high ways
    • Can be best achieved with direct driver feedback
    • Really pays of in emissions and fuel savings
innovation r equires great partners collaborating well
Innovation Requires Great Partners Collaborating Well

state of art chip technology

to understands CAN ‘dialects’

client server software to transfer data to the cloud

data connectivity

cloud based data analytics and visualization

floating car data, maps

road surface friction algorithm and driving style qualification

smartphone app

use case development and exploration

>40 road side assistance vehicles

>120 taxi’s

data for road surface and traffic analytics