Benefit

CO2 emissions can be reduced up to 15 percent using in-vehicle performance monitoring systems for Eco-Driver Coaching.

In-vehicle experience with ITS technologies in Europe


September 16, 2009
Europe


Summary Information

This research was conducted to compare the potential benefits and costs of several types of ITS technologies designed to reduce greenhouse gas emissions in the 27 states of the European Union (EU27). The study used a multi-criteria analysis to assess the direct and indirect effects of advanced driver assistance systems, traffic management solutions, and other innovative eco-solutions at reducing CO2 emission.

The results included a qualitative ranking of the most promising systems and quantitative estimates of system impacts. In order to qualitatively estimate reductions in CO2 levels researchers measured impacts on kilometers traveled, speed profiles, homogenization of traffic flow, traffic flow composition, and the efficiency of engine use. Researchers also examined current and forecasted use of specific technologies, measured costs, compliance issues, barriers for implementation, risks, and testimonial data gathered from participating stakeholders.

Based on the results of an initial literature study, the following technologies were selected for analysis.
  • Adaptive cruise control
  • Lane keeping assistant and emergency braking
  • Platooning
  • Eco-driver assistance (including energy-use Indicator and gear shift indicator)
  • Eco-driver coaching (including enhanced map data)
  • Fuel-efficient route choice
  • Automatic engine shutdown
  • Tire pressure indicators
  • Pay As You Drive strategies
  • Congestion charging
  • Adaptive signal control
  • Trip departure planning for commercial vehicles (freight)
  • Slot management
Eco-driver Coaching and Eco-driver Assistance technologies use in-vehicle tools such as gear-shift indicators and speed profile recommendations to help drivers drive in a more energy efficient manner. Eco-driver Coaching includes the use of enhanced map data to account for variations in approaching terrain. Both systems are dependent on the willingness of the driver to comply with the most energy efficient driving style.

FINDINGS

Previous findings from the eIMPACT [1] project were used to determine the total number of vehicle kilometers on rural and urban roadways where each technology was applicable, the types of traffic flow (free flow, heavy traffic or congestion) and the distribution of vehicle types in each area. The TNO VERSIT+ emission model was then used to quantify the potential impacts of each technology on CO2 emissions. The data collected were synthesized and ranked to identify the most promising systems.

The estimates below assumed full market penetration and maximum deployment.

System
Potential CO2
Reduction
Ease of
Implementation
Compliance
Issue
Expected
Future Use
Eco-driver Coaching
15%
Medium
Medium
Large
Eco-driver Assistance
10%
Easy
Medium/Hard
Large
Pay As You Drive (PAYD)
7%
Medium
Medium
Medium
Platooning
6%
Very hard
Hard
Small
Cruise Control/Automated Cruise Control
3%
Easy
Easy
Large
Fuel-efficient Route Choice
2%
Medium/hard
Medium
Medium
Dynamic Traffic Light Synchronization
2%
Medium
No issue
Large
Automatic Engine Shutdown
2%
Easy
Easy
Large
Trip Departure Planning (Freight)
2%
Medium
Medium
Large
Tire Pressure Indicator
1%
Easy
Medium
Large
Congestion Charging
0.50%
Medium
No issue
Medium
Slot Management
0.05%
Hard
No issue
Small
Lane Keeping
0.01%
Easy
Easy
Large
Emergency Braking
0.01%
Easy
No issue
Large



Notes

See Also:
[1] eIMPACT: Socio-economic Impact Assessment of Stand-alone and Co-operative Intelligent Vehicle Safety Systems (IVSS) in Europe (2006).

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Source

Impact of Information and Communication Technologies on Energy Efficiency in Road Transport: Final Report

Author: Klunder,G.A., et.al.


Published By: European Commission

European Commission

Source Date: September 16, 2009

Other Reference Number: Version 1.1

URL: http://ec.europa.eu/information_society/activities/esafety/doc/studies/energy/energy_eff_study_final.pdf

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Benefit ID: 2013-00817