Quantifying the Effect of Intelligent Transport Systems on CO 2 Emissions from Road Transportation Zissis Samaras Laboratory of Applied Thermodynamics Aristotle University Thessaloniki 1 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 2

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 3 Achievements and Innovations - 2

Model Interfaces Developed Aimsun micro Aimsun macro VissimVisumMessinaCRUISECOPERT Aimsun micro ManualIntegratedAuto Aimsun macro Auto Vissim ManualAuto 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 5

What did we learn? - 1 Vehicle related IT Systems (e.g. Ecodriving, ACC, Green Navigation) –On a per vehicle basis, effects on CO 2 emissions can be substantial – Reductions can exceed 15% –However, this CO 2 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 6

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 CO 2 emissions, e.g. congestion reduces the benefit –Similarly VSL can have a local effect in the order of 2% CO 2 reduction –Most importantly, the global effect needs to be considered, on top of the local effect 7

What did we learn? - 3 Overall ITS are found to be able to contribute to CO 2 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 8

We aim at an EXCELLENT project 9

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 10

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 11

International Traffic Database 12

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