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Quantifying the Effect of Intelligent Transport Systems on CO2 Emissions
from Road Transportation
Zissis SamarasLaboratory of Applied Thermodynamics
Aristotle University Thessaloniki
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Final Conference Brussels – March 31, 2015
Achievements and Innovations - 1
• The overall methodological approach – Consistency between micro and macro emission models– Extension in tools based on new methodological approaches– New Gibbs function for eco-driving simulation– Development of micro-level vehicle simulators– Interfaces between micro-traffic simulators and vehicle simulators– Extension of ADAS simulator to micro traffic simulators– Extension of COPERT applicability
• ICT-Emissions Case Studies– Demonstration of impact of ICT potential– Collection of data (traffic, driving and consumption) with and without ICT measures– Data for validation of traffic and emissions models
• ICT-Emissions Driving Cycles– For the evaluation of ADAS on the chassis dyno or computationally – “Equivalent” to the Artemis cycles
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• Extension to new medium term and longer term technologies– We took advantage of the latest developments via the EU
WLTP/NEDC correlation exercise – Successful simulation of Prius III Plug-In
• Thorough validation via real world campaign and chassis dynamometer measurements
• Tools’ suite suitable to run in a fully automated manner all ICT-Emissions scenarios
• Library populated with key input, modelling and output information produced by the different traffic and emission simulations
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Achievements and Innovations - 2
Model Interfaces Developed
Aimsun micro
Aimsun macro Vissim Visum Messina CRUISE COPERT
Aimsun micro Manual Integrated Auto
Aimsun macro Auto
Vissim Manual Auto
Visum Auto
Messina Manual
CRUISE Manual
Results
• We investigated the effects of the following ITS measures on concrete real-world test cases
Variable Speed Limits - VSL
Green Navigation - GN
Urban Traffic Control - UTC
Ecodriving
Start-Stop
Adaptive Cruise Control - ACC• For different penetration rates• Under both today’s and future fleet compositions
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What did we learn? - 1
• Vehicle related IT Systems (e.g. Ecodriving, ACC, Green Navigation)
– On a per vehicle basis, effects on CO2 emissions can be substantial – Reductions can exceed 15%
– However, this CO2 benefit is constrained by traffic conditions and the penetration rates themselves, as the on-road ITS equipped vehicle fraction increases
– The maximum is reached at up to 50% penetration and under non-congested conditions
– Benefits range with driving environment, e.g. Adaptive Cruise Control effect maximizes at highway conditions
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What did we learn? - 2
• Traffic targeted IT Systems (e.g. Variable Speed Limits, Urban Traffic Control)– Under non congested conditions the maximum
reduction due to UTC can reach up to 8%
– Traffic conditions constrain the effect on total CO2 emissions, e.g. congestion reduces the benefit
– Similarly VSL can have a local effect in the order of 2% CO2 reduction
– Most importantly, the global effect needs to be considered, on top of the local effect
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What did we learn? - 3
• Overall ITS are found to be able to contribute to CO2 emissions reduction by several percent points
• Effects are different depending on local conditions (traffic, infrastructure, fleet, etc.)
• This potential will best be deployed in the future in combination with more advanced vehicles and systems – e.g. predicting navigation systems in combination with
hybrid vehicles
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Outlook - 1
• ICT-Emissions methodology and toolset can be easily expanded to address air pollutants and commercial vehicles as well
• It can be an integral part of any Smart Cities Solution, assisting in deploying effective ICT measures for the particular application
• ICT-Emissions methodology can contribute to the formation of a virtual test bench for the assessment and possibly certification of eco-innovations
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Outlook - 2
• We can contribute to the international collaborations of the EU– With validated results, methods and tools– With test data, case studies and experiments
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